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Fahad Shahbaz Khan

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affiliation: Linköping University, Sweden

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2020 – today

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2025
[j52]
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Saeed Anwar, Muhammad Tahir, Chongyi Li, Ajmal Mian, Fahad Shahbaz Khan, Abdul Wahab Muzaffar:
Image colorization: A survey and dataset. Inf. Fusion 114: 102720 (2025)
2024
[j51]
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Shahina K. Kunhimon, Abdelrahman M. Shaker, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan:
Learnable weight initialization for volumetric medical image segmentation. Artif. Intell. Medicine 151: 102863 (2024)
[j50]
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  - journals/cviu/KiniKKS24
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Jyoti Kini, Fahad Shahbaz Khan, Salman Khan, Mubarak Shah:
CT-VOS: Cutout prediction and tagging for self-supervised video object segmentation. Comput. Vis. Image Underst. 238: 103860 (2024)
[j49]
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  - journals/cviu/CroitoruRDIKS24
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Florinel-Alin Croitoru, Nicolae-Catalin Ristea, Dana Dascalescu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah:
Lightning fast video anomaly detection via multi-scale adversarial distillation. Comput. Vis. Image Underst. 247: 104074 (2024)
[j48]
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Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Jian Yang, Joost van de Weijer:
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. Int. J. Comput. Vis. 132(2): 490-514 (2024)
[j47]
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Mohammed Hassanin, Saeed Anwar, Ibrahim Radwan, Fahad Shahbaz Khan, Ajmal Mian:
Visual attention methods in deep learning: An in-depth survey. Inf. Fusion 108: 102417 (2024)
[j46]
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Long Li, Junwei Han, Nian Liu, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan:
Robust Perception and Precise Segmentation for Scribble-Supervised RGB-D Saliency Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 479-496 (2024)
[j45]
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Neelu Madan, Nicolae-Catalin Ristea, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 525-542 (2024)
[j44]
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Lei Huang, Yunhao Ni, Xi Weng, Rao Muhammad Anwer, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Understanding Whitening Loss in Self-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9479-9492 (2024)
[j43]
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  - journals/pr/FiazNCAHK24
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Mustansar Fiaz, Mubashir Noman, Hisham Cholakkal, Rao Muhammad Anwer, Jacob Hanna, Fahad Shahbaz Khan:
Guided-attention and gated-aggregation network for medical image segmentation. Pattern Recognit. 156: 110812 (2024)
[j42]
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  - journals/tgrs/NomanFCKK24
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Mubashir Noman, Mustansar Fiaz, Hisham Cholakkal, Salman H. Khan, Fahad Shahbaz Khan:
ELGC-Net: Efficient Local-Global Context Aggregation for Remote Sensing Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024)
[j41]
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Mubashir Noman, Mustansar Fiaz, Hisham Cholakkal, Sanath Narayan, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan:
Remote Sensing Change Detection With Transformers Trained From Scratch. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024)
[j40]
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  - journals/tmi/ShakerMRKYK24
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Abdelrahman M. Shaker, Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
UNETR++: Delving Into Efficient and Accurate 3D Medical Image Segmentation. IEEE Trans. Medical Imaging 43(9): 3377-3390 (2024)
[j39]
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  - journals/tnn/NaseerKPK24
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Muzammal Naseer, Salman H. Khan, Fatih Porikli, Fahad Shahbaz Khan:
Guidance Through Surrogate: Toward a Generic Diagnostic Attack. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2042-2053 (2024)
[j38]
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  - journals/visintelligence/JiangYJFSXFK24
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Yao Jiang, Xinyu Yan, Ge-Peng Ji, Keren Fu, Meijun Sun, Huan Xiong, Deng-Ping Fan, Fahad Shahbaz Khan:
Effectiveness assessment of recent large vision-language models. Vis. Intell. 2(1): 17 (2024)
[c190]
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  - conf/aaai/MullappillyGAKC24
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Sahal Shaji Mullappilly, Abhishek Singh Gehlot, Rao Muhammad Anwer, Fahad Shahbaz Khan, Hisham Cholakkal:
Semi-supervised Open-World Object Detection. AAAI 2024: 4305-4314
[c189]
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  - conf/aaai/ZhangNCS00K24
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Sheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman H. Khan, Kun Zhang, Fahad Shahbaz Khan:
S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment. AAAI 2024: 7278-7286
[c188]
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  - conf/bionlp/ThawakarSMCAKLK24
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Omkar Chakradhar Thawakar, Abdelrahman M. Shaker, Sahal Shaji Mullappilly, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Jorma Laaksonen, Fahad Shahbaz Khan:
XrayGPT: Chest Radiographs Summarization using Large Medical Vision-Language Models. BioNLP@ACL 2024: 440-448
[c187]
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  - conf/cvpr/DharmasiriNKK22
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Amaya Dharmasiri, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Cross-Modal Self-Training: Aligning Images and Pointclouds to learn Classification without Labels. CVPR Workshops 2024: 708-717
[c186]
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  - conf/cvpr/XieC0KP24
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Bin Xie, Jiale Cao, Jin Xie, Fahad Shahbaz Khan, Yanwei Pang:
SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation. CVPR 2024: 3426-3436
[c185]
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  - conf/cvpr/Rasheed0MS0CAX024
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Hanoona Abdul Rasheed, Muhammad Maaz, Sahal Shaji Mullappilly, Abdelrahman M. Shaker, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Eric P. Xing, Ming-Hsuan Yang, Fahad Shahbaz Khan:
GLaMM: Pixel Grounding Large Multimodal Model. CVPR 2024: 13009-13018
[c184]
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  - conf/cvpr/RisteaCIPKS24
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Nicolae-Catalin Ristea, Florinel-Alin Croitoru, Radu Tudor Ionescu, Marius Popescu, Fahad Shahbaz Khan, Mubarak Shah:
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors. CVPR 2024: 15984-15995
[c183]
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  - conf/cvpr/WasimN00K24
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Syed Talal Wasim, Muzammal Naseer, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
VideoGrounding-DINO: Towards Open-Vocabulary Spatio- Temporal Video Grounding. CVPR 2024: 18909-18918
[c182]
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  - conf/cvpr/Hou0CHWF0KY24
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Wenjin Hou, Shiming Chen, Shuhuang Chen, Ziming Hong, Yan Wang, Xuetao Feng, Salman H. Khan, Fahad Shahbaz Khan, Xinge You:
Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning. CVPR 2024: 23627-23637
[c181]
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  - conf/cvpr/ChenH0K24
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Shiming Chen, Wenjin Hou, Salman H. Khan, Fahad Shahbaz Khan:
Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning. CVPR 2024: 23964-23974
[c180]
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  - conf/cvpr/ThawakarNAKFSK24
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Omkar Thawakar, Muzammal Naseer, Rao Muhammad Anwer, Salman H. Khan, Michael Felsberg, Mubarak Shah, Fahad Shahbaz Khan:
Composed Video Retrieval via Enriched Context and Discriminative Embeddings. CVPR 2024: 26886-26896
[c179]
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  - conf/cvpr/NomanNCA0K24
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Mubashir Noman, Muzammal Naseer, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan:
Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery. CVPR 2024: 27811-27819
[c178]
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  - conf/cvpr/KuckrejaDNDKK24
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Kartik Kuckreja, Muhammad Sohail Danish, Muzammal Naseer, Abhijit Das, Salman Khan, Fahad Shahbaz Khan:
GeoChat: Grounded Large Vision-Language Model for Remote Sensing. CVPR 2024: 27831-27840
[c177]
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  - conf/eccv/ZhangZSCLK24
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Jin Zhang, Ruiheng Zhang, Yanjiao Shi, Zhe Cao, Nian Liu, Fahad Shahbaz Khan:
Learning Camouflaged Object Detection from Noisy Pseudo Label. ECCV (1) 2024: 158-174
[c176]
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  - conf/eccv/LiLZLKACHK24
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Long Li, Nian Liu, Dingwen Zhang, Zhongyu Li, Salman Khan, Rao Muhammad Anwer, Hisham Cholakkal, Junwei Han, Fahad Shahbaz Khan:
CONDA: Condensed Deep Association Learning for Co-salient Object Detection. ECCV (50) 2024: 287-303
[c175]
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  - conf/eccv/BoudjoghraLCAKK24
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Mohamed El Amine Boudjoghra, Jean Lahoud, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan:
Continual Learning and Unknown Object Discovery in 3D Scenes via Self-distillation. ECCV (73) 2024: 416-431
[c174]
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  - conf/emnlp/PieriMKAKBC24
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Sara Pieri, Sahal Shaji Mullappilly, Fahad Shahbaz Khan, Rao Muhammad Anwer, Salman H. Khan, Timothy Baldwin, Hisham Cholakkal:
BiMediX: Bilingual Medical Mixture of Experts LLM. EMNLP (Findings) 2024: 16984-17002
[c173]
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  - conf/iclr/BaiX00KZGF24
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Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Shahbaz Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng:
Sentence-level Prompts Benefit Composed Image Retrieval. ICLR 2024
[c172]
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  - conf/iclr/Li0HKHW024
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Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang:
Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models. ICLR 2024
[c171]
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  - conf/iclr/WengNS0A0KH24
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Xi Weng, Yunhao Ni, Tengwei Song, Jie Luo, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan, Lei Huang:
Modulate Your Spectrum in Self-Supervised Learning. ICLR 2024
[c170]
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  - conf/icml/LiuHY0CALK24
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Yuanwei Liu, Junwei Han, Xiwen Yao, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Nian Liu, Fahad Shahbaz Khan:
Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation. ICML 2024
[c169]
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  - conf/icra/LahoudKCAK24
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Jean Lahoud, Fahad Shahbaz Khan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan:
Long-Tailed 3D Semantic Segmentation with Adaptive Weight Constraint and Sampling. ICRA 2024: 5037-5044
[c168]
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  - conf/isbi/KunhimonNKK24
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Shahina K. Kunhimon, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Language Guided Domain Generalized Medical Image Segmentation. ISBI 2024: 1-5
[c167]
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  - conf/miccai/WatawanaRMNKK24
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Hasindri Watawana, Kanchana Ranasinghe, Tariq Mahmood, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan:
Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning. MICCAI (4) 2024: 167-177
[c166]
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Hanan Gani, Muzammal Naseer, Fahad Shahbaz Khan, Salman H. Khan:
MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation. MICCAI (12) 2024: 229-239
[c165]
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  - conf/miccai/HanifSANKNKA24
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Asif Hanif, Fahad Shamshad, Muhammad Awais, Muzammal Naseer, Fahad Shahbaz Khan, Karthik Nandakumar, Salman H. Khan, Rao Muhammad Anwer:
BAPLe: Backdoor Attacks on Medical Foundational Models Using Prompt Learning. MICCAI (12) 2024: 443-453
[c164]
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Chao Qin, Jiale Cao, Huazhu Fu, Fahad Shahbaz Khan, Rao Muhammad Anwer:
DB-SAM: Delving into High Quality Universal Medical Image Segmentation. MICCAI (12) 2024: 498-508
[i208]
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  - journals/corr/abs-2401-00901
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Syed Talal Wasim, Muzammal Naseer, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding. CoRR abs/2401.00901 (2024)
[i207]
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  - journals/corr/abs-2401-01164
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Dmitry Demidov, Roba Al Majzoub, Amandeep Kumar, Fahad Shahbaz Khan:
Distilling Local Texture Features for Colorectal Tissue Classification in Low Data Regimes. CoRR abs/2401.01164 (2024)
[i206]
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  - journals/corr/abs-2402-05375
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Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang:
Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models. CoRR abs/2402.05375 (2024)
[i205]
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  - journals/corr/abs-2402-13253
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Sara Pieri, Sahal Shaji Mullappilly, Fahad Shahbaz Khan, Rao Muhammad Anwer, Salman H. Khan, Timothy Baldwin, Hisham Cholakkal:
BiMediX: Bilingual Medical Mixture of Experts LLM. CoRR abs/2402.13253 (2024)
[i204]
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  - journals/corr/abs-2402-14818
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Muhammad Maaz, Hanoona Abdul Rasheed, Abdelrahman M. Shaker, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Tim Baldwin, Michael Felsberg, Fahad Shahbaz Khan:
PALO: A Polyglot Large Multimodal Model for 5B People. CoRR abs/2402.14818 (2024)
[i203]
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  - journals/corr/abs-2402-16013
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Sahal Shaji Mullappilly, Abhishek Singh Gehlot, Rao Muhammad Anwer, Fahad Shahbaz Khan, Hisham Cholakkal:
Semi-supervised Open-World Object Detection. CoRR abs/2402.16013 (2024)
[i202]
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Omkar Thawakar, Ashmal Vayani, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Michael Felsberg, Tim Baldwin, Eric P. Xing, Fahad Shahbaz Khan:
MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT. CoRR abs/2402.16840 (2024)
[i201]
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Hanan Gani, Muzammal Naseer, Fahad Shahbaz Khan, Salman Khan:
MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation. CoRR abs/2402.17725 (2024)
[i200]
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Yao Jiang, Xinyu Yan, Ge-Peng Ji, Keren Fu, Meijun Sun, Huan Xiong, Deng-Ping Fan, Fahad Shahbaz Khan:
Effectiveness Assessment of Recent Large Vision-Language Models. CoRR abs/2403.04306 (2024)
[i199]
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Hashmat Shadab Malik, Muhammad Huzaifa, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes. CoRR abs/2403.04701 (2024)
[i198]
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Mubashir Noman, Muzammal Naseer, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan:
Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery. CoRR abs/2403.05419 (2024)
[i197]
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Yuning Cui, Syed Waqas Zamir, Salman H. Khan, Alois Knoll, Mubarak Shah, Fahad Shahbaz Khan:
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation. CoRR abs/2403.14614 (2024)
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Hasindri Watawana, Kanchana Ranasinghe, Tariq Mahmood, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning. CoRR abs/2403.14616 (2024)
[i195]
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Ahmad Mahmood, Ashmal Vayani, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
VURF: A General-purpose Reasoning and Self-refinement Framework for Video Understanding. CoRR abs/2403.14743 (2024)
[i194]
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Omkar Thawakar, Muzammal Naseer, Rao Muhammad Anwer, Salman H. Khan, Michael Felsberg, Mubarak Shah, Fahad Shahbaz Khan:
Composed Video Retrieval via Enriched Context and Discriminative Embeddings. CoRR abs/2403.16997 (2024)
[i193]
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Mubashir Noman, Mustansar Fiaz, Hisham Cholakkal, Salman Khan, Fahad Shahbaz Khan:
ELGC-Net: Efficient Local-Global Context Aggregation for Remote Sensing Change Detection. CoRR abs/2403.17909 (2024)
[i192]
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Abdelrahman M. Shaker, Syed Talal Wasim, Martin Danelljan, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Efficient Video Object Segmentation via Modulated Cross-Attention Memory. CoRR abs/2403.17937 (2024)
[i191]
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Shahina K. Kunhimon, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Language Guided Domain Generalized Medical Image Segmentation. CoRR abs/2404.01272 (2024)
[i190]
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Akshay Dudhane, Omkar Thawakar, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image Restoration. CoRR abs/2404.02154 (2024)
[i189]
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Shiming Chen, Wenjin Hou, Salman H. Khan, Fahad Shahbaz Khan:
Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning. CoRR abs/2404.07713 (2024)
[i188]
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Amaya Dharmasiri, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Cross-Modal Self-Training: Aligning Images and Pointclouds to Learn Classification without Labels. CoRR abs/2404.10146 (2024)
[i187]
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Wenjin Hou, Shiming Chen, Shuhuang Chen, Ziming Hong, Yan Wang, Xuetao Feng, Salman Khan, Fahad Shahbaz Khan, Xinge You:
Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning. CoRR abs/2404.14808 (2024)
[i186]
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Muhammad Uzair Khattak, Muhammad Ferjad Naeem, Jameel Hassan, Muzammal Naseer, Federico Tombari, Fahad Shahbaz Khan, Salman H. Khan:
How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs. CoRR abs/2405.03690 (2024)
[i185]
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  - journals/corr/abs-2406-00449
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Jiahua Dong, Hui Yin, Hongliu Li, Wenbo Li, Yulun Zhang, Salman Khan, Fahad Shahbaz Khan:
Dual Hyperspectral Mamba for Efficient Spectral Compressive Imaging. CoRR abs/2406.00449 (2024)
[i184]
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  - journals/corr/abs-2406-02548
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Mohamed El Amine Boudjoghra, Angela Dai, Jean Lahoud, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan:
Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation. CoRR abs/2406.02548 (2024)
[i183]
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  - journals/corr/abs-2406-04844
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Yuhao Li, Muzammal Naseer, Jiale Cao, Yu Zhu, Jinqiu Sun, Yanning Zhang, Fahad Shahbaz Khan:
Multi-Granularity Language-Guided Multi-Object Tracking. CoRR abs/2406.04844 (2024)
[i182]
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Hashmat Shadab Malik, Numan Saeed, Asif Hanif, Muzammal Naseer, Mohammad Yaqub, Salman H. Khan, Fahad Shahbaz Khan:
On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models. CoRR abs/2406.08486 (2024)
[i181]
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Hashmat Shadab Malik, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar, Fahad Shahbaz Khan, Salman H. Khan:
Towards Evaluating the Robustness of Visual State Space Models. CoRR abs/2406.09407 (2024)
[i180]
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Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Fahad Shahbaz Khan:
VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding. CoRR abs/2406.09418 (2024)
[i179]
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  - journals/corr/abs-2406-10326
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Rohit K. Bharadwaj, Hanan Gani, Muzammal Naseer, Fahad Shahbaz Khan, Salman H. Khan:
VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs. CoRR abs/2406.10326 (2024)
[i178]
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Akshita Gupta, Aditya Arora, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, Graham W. Taylor:
Open-Vocabulary Temporal Action Localization using Multimodal Guidance. CoRR abs/2406.15556 (2024)
[i177]
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  - journals/corr/abs-2407-13157
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Jin Zhang, Ruiheng Zhang, Yanjiao Shi, Zhe Cao, Nian Liu, Fahad Shahbaz Khan:
Learning Camouflaged Object Detection from Noisy Pseudo Label. CoRR abs/2407.13157 (2024)
[i176]
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Abdelrahman M. Shaker, Syed Talal Wasim, Salman Khan, Juergen Gall, Fahad Shahbaz Khan:
GroupMamba: Parameter-Efficient and Accurate Group Visual State Space Model. CoRR abs/2407.13772 (2024)
[i175]
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  - journals/corr/abs-2408-07317
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Yasheng Sun, Bohan Li, Mingchen Zhuge, Deng-Ping Fan, Salman H. Khan, Fahad Shahbaz Khan, Hideki Koike:
Connecting Dreams with Visual Brainstorming Instruction. CoRR abs/2408.07317 (2024)
[i174]
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Asif Hanif, Fahad Shamshad, Muhammad Awais, Muzammal Naseer, Fahad Shahbaz Khan, Karthik Nandakumar, Salman H. Khan, Rao Muhammad Anwer:
BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning. CoRR abs/2408.07440 (2024)
[i173]
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  - journals/corr/abs-2409-03209
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Lin Sun, Jiale Cao, Jin Xie, Fahad Shahbaz Khan, Yanwei Pang:
iSeg: An Iterative Refinement-based Framework for Training-free Segmentation. CoRR abs/2409.03209 (2024)
[i172]
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  - journals/corr/abs-2409-07585
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Muhammad Akhtar Munir, Fahad Shahbaz Khan, Salman H. Khan:
Efficient Localized Adaptation of Neural Weather Forecasting: A Case Study in the MENA Region. CoRR abs/2409.07585 (2024)
[i171]
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  - journals/corr/abs-2409-16261
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Mubashir Noman, Noor Ahsan, Muzammal Naseer, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan:
CDChat: A Large Multimodal Model for Remote Sensing Change Description. CoRR abs/2409.16261 (2024)
[i170]
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Umair Nawaz, Muhammad Awais, Hanan Gani, Muzammal Naseer, Fahad Shahbaz Khan, Salman Khan, Rao Muhammad Anwer:
AgriCLIP: Adapting CLIP for Agriculture and Livestock via Domain-Specialized Cross-Model Alignment. CoRR abs/2410.01407 (2024)
[i169]
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  - journals/corr/abs-2410-01678
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Ayesha Ishaq, Mohamed El Amine Boudjoghra, Jean Lahoud, Fahad Shahbaz Khan, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer:
Open3DTrack: Towards Open-Vocabulary 3D Multi-Object Tracking. CoRR abs/2410.01678 (2024)
[i168]
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Chao Qin, Jiale Cao, Huazhu Fu, Fahad Shahbaz Khan, Rao Muhammad Anwer:
DB-SAM: Delving into High Quality Universal Medical Image Segmentation. CoRR abs/2410.04172 (2024)
[i167]
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Ge-Peng Ji, Jing Liu, Peng Xu, Nick Barnes, Fahad Shahbaz Khan, Salman H. Khan, Deng-Ping Fan:
Frontiers in Intelligent Colonoscopy. CoRR abs/2410.17241 (2024)
[i166]
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  - journals/corr/abs-2410-17594
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Jiahua Dong, Wenqi Liang, Hongliu Li, Duzhen Zhang, Meng Cao, Henghui Ding, Salman H. Khan, Fahad Shahbaz Khan:
How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization? CoRR abs/2410.17594 (2024)
[i165]
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  - journals/corr/abs-2410-18976
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Sara Ghaboura, Ahmed Heakl, Omkar Thawakar, Ali Husain Salem Abdulla Alharthi, Ines Riahi, Abduljalil Saif, Jorma Laaksonen, Fahad Shahbaz Khan, Salman H. Khan, Rao Muhammad Anwer:
CAMEL-Bench: A Comprehensive Arabic LMM Benchmark. CoRR abs/2410.18976 (2024)
2023
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Antonio Barbalau, Radu Tudor Ionescu, Mariana-Iuliana Georgescu, Jacob V. Dueholm, Bharathkumar Ramachandra, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
SSMTL++: Revisiting self-supervised multi-task learning for video anomaly detection. Comput. Vis. Image Underst. 229: 103656 (2023)
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Haotong Qin, Ge-Peng Ji, Salman Khan, Deng-Ping Fan, Fahad Shahbaz Khan, Luc Van Gool:
How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges. Mach. Intell. Res. 20(5): 605-613 (2023)
[j35]
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Nicolae-Catalin Ristea, Andreea-Iuliana Miron, Olivian Savencu, Mariana-Iuliana Georgescu, Nicolae Verga, Fahad Shahbaz Khan, Radu Tudor Ionescu:
CyTran: A cycle-consistent transformer with multi-level consistency for non-contrast to contrast CT translation. Neurocomputing 538: 126211 (2023)
[j34]
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Fahad Shamshad, Salman H. Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat, Fahad Shahbaz Khan, Huazhu Fu:
Transformers in medical imaging: A survey. Medical Image Anal. 88: 102802 (2023)
[j33]
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  - journals/pami/ZamirAKHKYS23
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Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Fast Image Restoration and Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1934-1948 (2023)
[j32]
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Jiale Cao, Yanwei Pang, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Ling Shao:
SipMaskv2: Enhanced Fast Image and Video Instance Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3798-3812 (2023)
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Muzammal Naseer, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
Stylized Adversarial Defense. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6403-6414 (2023)
[j30]
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Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan, Muhammad Haris Khan, Michael Felsberg, Jiri Matas:
Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6552-6574 (2023)
[j29]
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Salman H. Khan, Fahad Shahbaz Khan, Ashish Vaswani, Niki Parmar, Ming-Hsuan Yang, Mubarak Shah:
Guest Editorial Introduction to the Special Section on Transformer Models in Vision. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12721-12725 (2023)
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Akshita Gupta, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Joost van de Weijer:
Generative Multi-Label Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14611-14624 (2023)
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  - journals/remotesensing/AleissaeeKAKCXK23
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Abdulaziz Amer Aleissaee, Amandeep Kumar, Rao Muhammad Anwer, Salman Khan, Hisham Cholakkal, Gui-Song Xia, Fahad Shahbaz Khan:
Transformers in Remote Sensing: A Survey. Remote. Sens. 15(7): 1860 (2023)
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Mamona Awan, Muhammad Haris Khan, Sanoojan Baliah, Muhammad Ahmad Waseem, Salman Khan, Fahad Shahbaz Khan, Arif Mahmood:
Unsupervised Landmark Discovery Using Consistency-Guided Bottleneck. BMVC 2023: 598-600
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Omkar Thawakar, Alexandre Rivkind, Ehud Ahissar, Fahad Shahbaz Khan:
Fast Video Instance Segmentation via Recurrent Encoder-Based Transformers. CAIP (1) 2023: 262-272
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Abdelrahman Mohamed, Rushali Grandhe, K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan:
D³Former: Debiased Dual Distilled Transformer for Incremental Learning. CVPR Workshops 2023: 2421-2430
[c160]
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Sheng Zhang, Salman H. Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Shahbaz Khan:
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery. CVPR 2023: 3479-3488
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Akshay Dudhane, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Burstormer: Burst Image Restoration and Enhancement Transformer. CVPR 2023: 5703-5712
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Ankan Kumar Bhunia, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan:
Person Image Synthesis via Denoising Diffusion Model. CVPR 2023: 5968-5976
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Hanoona Abdul Rasheed, Muhammad Uzair Khattak, Muhammad Maaz, Salman H. Khan, Fahad Shahbaz Khan:
Fine-tuned CLIP Models are Efficient Video Learners. CVPR 2023: 6545-6554
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Long Li, Junwei Han, Ni Zhang, Nian Liu, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan:
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection. CVPR 2023: 7247-7256
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Muhammad Akhtar Munir, Muhammad Haris Khan, Salman H. Khan, Fahad Shahbaz Khan:
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection. CVPR 2023: 11474-11483
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Senmao Li, Joost van de Weijer, Yaxing Wang, Fahad Shahbaz Khan, Meiqin Liu, Jian Yang:
3D-Aware Multi-Class Image-to-Image Translation with NeRFs. CVPR 2023: 12652-12662
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Muhammad Uzair Khattak, Hanoona Abdul Rasheed, Muhammad Maaz, Salman H. Khan, Fahad Shahbaz Khan:
MaPLe: Multi-modal Prompt Learning. CVPR 2023: 19113-19122
[c152]
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  - conf/cvpr/MehtaDMZKK23
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Nancy Mehta, Akshay Dudhane, Subrahmanyam Murala, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan:
Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement. CVPR 2023: 22201-22210
[c151]
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  - conf/cvpr/WasimNKKS23
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Syed Talal Wasim, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting. CVPR 2023: 23034-23044
[c150]
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  - conf/emnlp/MullappillySTCA23
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Sahal Shaji Mullappilly, Abdelrahman M. Shaker, Omkar Thawakar, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan:
Arabic Mini-ClimateGPT : A Climate Change and Sustainability Tailored Arabic LLM. EMNLP (Findings) 2023: 14126-14136
[c149]
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Salwa K. Al Khatib, Mohamed El Amine Boudjoghra, Jean Lahoud, Fahad Shahbaz Khan:
3D Instance Segmentation via Enhanced Spatial and Semantic Supervision. ICCV 2023: 541-550
[c148]
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Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Generative Multiplane Neural Radiance for 3D-Aware Image Generation. ICCV 2023: 7354-7364
[c147]
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Syed Talal Wasim, Muhammad Uzair Khattak, Muzammal Naseer, Salman Khan, Mubarak Shah, Fahad Shahbaz Khan:
Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition. ICCV 2023: 13732-13743
[c146]
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Muhammad Uzair Khattak, Syed Talal Wasim, Muzammal Naseer, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Self-regulating Prompts: Foundational Model Adaptation without Forgetting. ICCV 2023: 15144-15154
[c145]
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  - conf/iccv/Shaker0R00K23
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Abdelrahman M. Shaker, Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications. ICCV 2023: 17379-17390
[c144]
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Nian Liu, Kepan Nan, Wangbo Zhao, Yuanwei Liu, Xiwen Yao, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Junwei Han, Fahad Shahbaz Khan:
Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation. ICCV 2023: 18816-18825
[c143]
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Muzammal Naseer, Ahmad Mahmood, Salman Khan, Fahad Shahbaz Khan:
Boosting Adversarial Transferability using Dynamic Cues. ICLR 2023
[c142]
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Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Fahad Shahbaz Khan:
Cross-Modulated Few-Shot Image Generation for Colorectal Tissue Classification. MICCAI (3) 2023: 128-137
[c141]
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Asif Hanif, Muzammal Naseer, Salman H. Khan, Mubarak Shah, Fahad Shahbaz Khan:
Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation. MICCAI (2) 2023: 457-467
[c140]
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Chao Qin, Jiale Cao, Huazhu Fu, Rao Muhammad Anwer, Fahad Shahbaz Khan:
A Spatial-Temporal Deformable Attention Based Framework for Breast Lesion Detection in Videos. MICCAI (2) 2023: 479-488
[c139]
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Omkar Thawakar, Rao Muhammad Anwer, Jorma Laaksonen, Orly Reiner, Mubarak Shah, Fahad Shahbaz Khan:
3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers. MICCAI (8) 2023: 613-623
[c138]
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Wafa Al Ghallabi, Akshay Dudhane, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan:
Accelerated MRI Reconstruction via Dynamic Deformable Alignment Based Transformer. MLMI@MICCAI (1) 2023: 104-114
[c137]
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Dmitry Demidov, Roba Al Majzoub, Amandeep Kumar, Fahad Shahbaz Khan:
Distilling Local Texture Features for Colorectal Tissue Classification in Low Data Regimes. MLMI@MICCAI (2) 2023: 357-366
[c136]
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Mohamed El Amine Boudjoghra, Salwa K. Al Khatib, Jean Lahoud, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan:
3D Indoor Instance Segmentation in an Open-World. NeurIPS 2023
[c135]
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Muhammad Akhtar Munir, Salman H. Khan, Muhammad Haris Khan, Mohsen Ali, Fahad Shahbaz Khan:
Cal-DETR: Calibrated Detection Transformer. NeurIPS 2023
[c134]
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Vaishnav Potlapalli, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan:
PromptIR: Prompting for All-in-One Image Restoration. NeurIPS 2023
[c133]
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Jameel Abdul Samadh, Hanan Gani, Noor Hussein, Muhammad Uzair Khattak, Muzammal Naseer, Fahad Shahbaz Khan, Salman H. Khan:
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization. NeurIPS 2023
[c132]
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  - conf/visapp/DemidovSACK23
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Dmitry Demidov, Muhammad Hamza Sharif, Aliakbar Abdurahimov, Hisham Cholakkal, Fahad Shahbaz Khan:
Salient Mask-Guided Vision Transformer for Fine-Grained Classification. VISIGRAPP (4: VISAPP) 2023: 27-38
[c131]
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Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron, Olivian Savencu, Nicolae-Catalin Ristea, Nicolae Verga, Fahad Shahbaz Khan:
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution. WACV 2023: 2194-2204
[c130]
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Mustansar Fiaz, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan:
SAT: Scale-Augmented Transformer for Person Search. WACV 2023: 4809-4818
[i164]
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  - journals/corr/abs-2302-12252
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Muzammal Naseer, Ahmad Mahmood, Salman H. Khan, Fahad Shahbaz Khan:
Boosting Adversarial Transferability using Dynamic Cues. CoRR abs/2302.12252 (2023)
[i163]
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  - journals/corr/abs-2303-11859
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Zhiqiang Dong, Jiale Cao, Rao Muhammad Anwer, Jin Xie, Fahad Shahbaz Khan, Yanwei Pang:
LEAPS: End-to-End One-Step Person Search With Learnable Proposals. CoRR abs/2303.11859 (2023)
[i162]
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  - journals/corr/abs-2303-12073
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Omkar Thawakar, Rao Muhammad Anwer, Jorma Laaksonen, Orly Reiner, Mubarak Shah, Fahad Shahbaz Khan:
3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers. CoRR abs/2303.12073 (2023)
[i161]
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  - journals/corr/abs-2303-14404
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Muhammad Akhtar Munir, Muhammad Haris Khan, Salman H. Khan, Fahad Shahbaz Khan:
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection. CoRR abs/2303.14404 (2023)
[i160]
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  - journals/corr/abs-2303-15012
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Senmao Li, Joost van de Weijer, Yaxing Wang, Fahad Shahbaz Khan, Meiqin Liu, Jian Yang:
3D-Aware Multi-Class Image-to-Image Translation with NeRFs. CoRR abs/2303.15012 (2023)
[i159]
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  - journals/corr/abs-2303-15446
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Abdelrahman M. Shaker, Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications. CoRR abs/2303.15446 (2023)
[i158]
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  - journals/corr/abs-2303-15649
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Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang:
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing. CoRR abs/2303.15649 (2023)
[i157]
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  - journals/corr/abs-2304-01172
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Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Generative Multiplane Neural Radiance for 3D-Aware Image Generation. CoRR abs/2304.01172 (2023)
[i156]
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  - journals/corr/abs-2304-01194
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Akshay Dudhane, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Burstormer: Burst Image Restoration and Enhancement Transformer. CoRR abs/2304.01194 (2023)
[i155]
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  - journals/corr/abs-2304-01200
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Omkar Thawakar, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan:
Video Instance Segmentation in an Open-World. CoRR abs/2304.01200 (2023)
[i154]
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  - journals/corr/abs-2304-01992
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Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Fahad Shahbaz Khan:
Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification. CoRR abs/2304.01992 (2023)
[i153]
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Syed Talal Wasim, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting. CoRR abs/2304.03307 (2023)
[i152]
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Nancy Mehta, Akshay Dudhane, Subrahmanyam Murala, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan:
Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement. CoRR abs/2304.06703 (2023)
[i151]
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Mubashir Noman, Mustansar Fiaz, Hisham Cholakkal, Sanath Narayan, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan:
Remote Sensing Change Detection With Transformers Trained from Scratch. CoRR abs/2304.06710 (2023)
[i150]
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Long Li, Junwei Han, Ni Zhang, Nian Liu, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan:
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection. CoRR abs/2305.00514 (2023)
[i149]
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Dmitry Demidov, Muhammad Hamza Sharif, Aliakbar Abdurahimov, Hisham Cholakkal, Fahad Shahbaz Khan:
Salient Mask-Guided Vision Transformer for Fine-Grained Classification. CoRR abs/2305.07102 (2023)
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  - journals/corr/abs-2305-16789
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Xi Weng, Yunhao Ni, Tengwei Song, Jie Luo, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan, Lei Huang:
Modulate Your Spectrum in Self-Supervised Learning. CoRR abs/2305.16789 (2023)
[i147]
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Hefeng Wang, Jiale Cao, Rao Muhammad Anwer, Jin Xie, Fahad Shahbaz Khan, Yanwei Pang:
DFormer: Diffusion-guided Transformer for Universal Image Segmentation. CoRR abs/2306.03437 (2023)
[i146]
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  - journals/corr/abs-2306-05424
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Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Fahad Shahbaz Khan:
Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models. CoRR abs/2306.05424 (2023)
[i145]
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  - journals/corr/abs-2306-07971
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Omkar Thawakar, Abdelrahman M. Shaker, Sahal Shaji Mullappilly, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Jorma Laaksonen, Fahad Shahbaz Khan:
XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models. CoRR abs/2306.07971 (2023)
[i144]
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Shahina K. Kunhimon, Abdelrahman M. Shaker, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan:
Learnable Weight Initialization for Volumetric Medical Image Segmentation. CoRR abs/2306.09320 (2023)
[i143]
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  - journals/corr/abs-2306-12041
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Nicolae-Catalin Ristea, Florinel-Alin Croitoru, Radu Tudor Ionescu, Marius Popescu, Fahad Shahbaz Khan, Mubarak Shah:
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors. CoRR abs/2306.12041 (2023)
[i142]
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  - journals/corr/abs-2306-13090
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Vaishnav Potlapalli, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan:
PromptIR: Prompting for All-in-One Blind Image Restoration. CoRR abs/2306.13090 (2023)
[i141]
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  - journals/corr/abs-2307-06947
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Syed Talal Wasim, Muhammad Uzair Khattak, Muzammal Naseer, Salman H. Khan, Mubarak Shah, Fahad Shahbaz Khan:
Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition. CoRR abs/2307.06947 (2023)
[i140]
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  - journals/corr/abs-2307-06948
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Muhammad Uzair Khattak, Syed Talal Wasim, Muzammal Naseer, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Self-regulating Prompts: Foundational Model Adaptation without Forgetting. CoRR abs/2307.06948 (2023)
[i139]
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  - journals/corr/abs-2307-07269
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Asif Hanif, Muzammal Naseer, Salman H. Khan, Mubarak Shah, Fahad Shahbaz Khan:
Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation. CoRR abs/2307.07269 (2023)
[i138]
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  - journals/corr/abs-2307-13721
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Muhammad Awais, Muzammal Naseer, Salman H. Khan, Rao Muhammad Anwer, Hisham Cholakkal, Mubarak Shah, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Foundational Models Defining a New Era in Vision: A Survey and Outlook. CoRR abs/2307.13721 (2023)
[i137]
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Haotong Qin, Ge-Peng Ji, Salman H. Khan, Deng-Ping Fan, Fahad Shahbaz Khan, Luc Van Gool:
How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges. CoRR abs/2307.15016 (2023)
[i136]
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Sheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman H. Khan, Kun Zhang, Fahad Shahbaz Khan:
Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment. CoRR abs/2308.12960 (2023)
[i135]
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Basit Alawode, Fayaz Ali Dharejo, Mehnaz Ummar, Yuhang Guo, Arif Mahmood, Naoufel Werghi, Fahad Shahbaz Khan, Jiri Matas, Sajid Javed:
Improving Underwater Visual Tracking With a Large Scale Dataset and Image Enhancement. CoRR abs/2308.15816 (2023)
[i134]
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Chao Qin, Jiale Cao, Huazhu Fu, Rao Muhammad Anwer, Fahad Shahbaz Khan:
A Spatial-Temporal Deformable Attention based Framework for Breast Lesion Detection in Videos. CoRR abs/2309.04702 (2023)
[i133]
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  - journals/corr/abs-2309-10518
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Mamona Awan, Muhammad Haris Khan, Sanoojan Baliah, Muhammad Ahmad Waseem, Salman H. Khan, Fahad Shahbaz Khan, Arif Mahmood:
Unsupervised Landmark Discovery Using Consistency Guided Bottleneck. CoRR abs/2309.10518 (2023)
[i132]
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Nian Liu, Kepan Nan, Wangbo Zhao, Yuanwei Liu, Xiwen Yao, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Junwei Han, Fahad Shahbaz Khan:
Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation. CoRR abs/2309.11160 (2023)
[i131]
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  - journals/corr/abs-2309-14338
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Mohamed El Amine Boudjoghra, Salwa K. Al Khatib, Jean Lahoud, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan:
3D Indoor Instance Segmentation in an Open-World. CoRR abs/2309.14338 (2023)
[i130]
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  - journals/corr/abs-2310-05473
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Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Shahbaz Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng:
Sentence-level Prompts Benefit Composed Image Retrieval. CoRR abs/2310.05473 (2023)
[i129]
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  - journals/corr/abs-2310-15324
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Adeel Yousaf, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
Videoprompter: an ensemble of foundational models for zero-shot video understanding. CoRR abs/2310.15324 (2023)
[i128]
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  - journals/corr/abs-2311-01459
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Jameel Hassan, Hanan Gani, Noor Hussein, Muhammad Uzair Khattak, Muzammal Naseer, Fahad Shahbaz Khan, Salman H. Khan:
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization. CoRR abs/2311.01459 (2023)
[i127]
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  - journals/corr/abs-2311-03356
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Hanoona Abdul Rasheed, Muhammad Maaz, Sahal Shaji Mullappilly, Abdelrahman M. Shaker, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Eric P. Xing, Ming-Hsuan Yang, Fahad Shahbaz Khan:
GLaMM: Pixel Grounding Large Multimodal Model. CoRR abs/2311.03356 (2023)
[i126]
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  - journals/corr/abs-2311-03570
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Muhammad Akhtar Munir, Salman Khan, Muhammad Haris Khan, Mohsen Ali, Fahad Shahbaz Khan:
Cal-DETR: Calibrated Detection Transformer. CoRR abs/2311.03570 (2023)
[i125]
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  - journals/corr/abs-2311-12068
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Rohit Bharadwaj, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Enhancing Novel Object Detection via Cooperative Foundational Models. CoRR abs/2311.12068 (2023)
[i124]
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  - journals/corr/abs-2311-13435
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Shehan Munasinghe, Rusiru Thushara, Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Mubarak Shah, Fahad Shahbaz Khan:
PG-Video-LLaVA: Pixel Grounding Large Video-Language Models. CoRR abs/2311.13435 (2023)
[i123]
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  - journals/corr/abs-2311-15537
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Bin Xie, Jiale Cao, Jin Xie, Fahad Shahbaz Khan, Yanwei Pang:
SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation. CoRR abs/2311.15537 (2023)
[i122]
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  - journals/corr/abs-2311-15826
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Kartik Kuckreja, Muhammad Sohail Danish, Muzammal Naseer, Abhijit Das, Salman Khan, Fahad Shahbaz Khan:
GeoChat: Grounded Large Vision-Language Model for Remote Sensing. CoRR abs/2311.15826 (2023)
[i121]
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  - journals/corr/abs-2312-09366
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Sahal Shaji Mullappilly, Abdelrahman M. Shaker, Omkar Thawakar, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan:
Arabic Mini-ClimateGPT : A Climate Change and Sustainability Tailored Arabic LLM. CoRR abs/2312.09366 (2023)
[i120]
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  - journals/corr/abs-2312-09608
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Senmao Li, Taihang Hu, Fahad Shahbaz Khan, Linxuan Li, Shiqi Yang, Yaxing Wang, Ming-Ming Cheng, Jian Yang:
Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models. CoRR abs/2312.09608 (2023)
2022
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Salman H. Khan, Muzammal Naseer, Munawar Hayat, Syed Waqas Zamir, Fahad Shahbaz Khan, Mubarak Shah:
Transformers in Vision: A Survey. ACM Comput. Surv. 54(10s): 200:1-200:41 (2022)
[j25]
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Hisham Cholakkal, Guolei Sun, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Luc Van Gool:
Towards Partial Supervision for Generic Object Counting in Natural Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1604-1622 (2022)
[j24]
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Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah:
A Background-Agnostic Framework With Adversarial Training for Abnormal Event Detection in Video. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4505-4523 (2022)
[j23]
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Jiale Cao, Yanwei Pang, Jin Xie, Fahad Shahbaz Khan, Ling Shao:
From Handcrafted to Deep Features for Pedestrian Detection: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4913-4934 (2022)
[j22]
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Jianbing Shen, Yuanpei Liu, Xingping Dong, Xiankai Lu, Fahad Shahbaz Khan, Steven C. H. Hoi:
Distilled Siamese Networks for Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8896-8909 (2022)
[j21]
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K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian:
Incremental Object Detection via Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9209-9216 (2022)
[c129]
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  - conf/accv/FiazCNAK22
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Mustansar Fiaz, Hisham Cholakkal, Sanath Narayan, Rao Muhammad Anwer, Fahad Shahbaz Khan:
PS-ARM: An End-to-End Attention-Aware Relation Mixer Network for Person Search. ACCV (5) 2022: 234-250
[c128]
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Maryam Sultana, Muzammal Naseer, Muhammad Haris Khan, Salman H. Khan, Fahad Shahbaz Khan:
Self-distilled Vision Transformer for Domain Generalization. ACCV (2) 2022: 273-290
[c127]
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  - conf/bmvc/MalikKN0K22
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Hashmat Shadab Malik, Shahina K. Kunhimon, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations. BMVC 2022: 546
[c126]
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Mubashir Noman, Wafa Al Ghallabi, Daniya Kareem, Christoph Mayer, Akshay Dudhane, Martin Danelljan, Hisham Cholakkal, Salman Khan, Luc Van Gool, Fahad Shahbaz Khan:
AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility. BMVC 2022: 817
[c125]
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  - conf/cvpr/BhatDTCCCCCDFGG22
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Goutam Bhat, Martin Danelljan, Radu Timofte, Yizhen Cao, Yuntian Cao, Meiya Chen, Xihao Chen, Shen Cheng, Akshay Dudhane, Haoqiang Fan, Ruipeng Gang, Jian Gao, Yan Gu, Jie Huang, Liufeng Huang, Youngsu Jo, Sukju Kang, Salman Khan, Fahad Shahbaz Khan, Yuki Kondo, Chenghua Li, Fangya Li, Jinjing Li, Youwei Li, Zechao Li, Chenming Liu, Shuaicheng Liu, Zikun Liu, Zhuoming Liu, Ziwei Luo, Zhengxiong Luo, Nancy Mehta, Subrahmanyam Murala, Yoonchan Nam, Chihiro Nakatani, Pavel Ostyakov, Jinshan Pan, Ge Song, Jian Sun, Long Sun, Jinhui Tang, Norimichi Ukita, Zhihong Wen, Qi Wu, Xiaohe Wu, Zeyu Xiao, Zhiwei Xiong, Rongjian Xu, Ruikang Xu, Youliang Yan, Jialin Yang, Wentao Yang, Zhongbao Yang, Fuma Yasue, Mingde Yao, Lei Yu, Cong Zhang, Syed Waqas Zamir, Jianxing Zhang, Shuohao Zhang, Zhilu Zhang, Qian Zheng, Gaofeng Zhou, Magauiya Zhussip, Xueyi Zou, Wangmeng Zuo:
NTIRE 2022 Burst Super-Resolution Challenge. CVPR Workshops 2022: 1040-1060
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Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2022: 1061-1101
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Nancy Mehta, Akshay Dudhane, Subrahmanyam Murala, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan:
Adaptive Feature Consolidation Network for Burst Super-Resolution. CVPR Workshops 2022: 1278-1285
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Kanchana Ranasinghe, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan, Michael S. Ryoo:
Self-supervised Video Transformer. CVPR 2022: 2864-2874
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Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Restormer: Efficient Transformer for High-Resolution Image Restoration. CVPR 2022: 5718-5729
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Akshay Dudhane, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Burst Image Restoration and Enhancement. CVPR 2022: 5749-5758
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K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Vineeth N. Balasubramanian:
Energy-based Latent Aligner for Incremental Learning. CVPR 2022: 7442-7451
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Akshita Gupta, Sanath Narayan, K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah:
OW-DETR: Open-world Detection Transformer. CVPR 2022: 9225-9234
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Jiale Cao, Yanwei Pang, Rao Muhammad Anwer, Hisham Cholakkal, Jin Xie, Mubarak Shah, Fahad Shahbaz Khan:
PSTR: End-to-End One-Step Person Search With Transformers. CVPR 2022: 9448-9457
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Nicolae-Catalin Ristea, Neelu Madan, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection. CVPR 2022: 13566-13576
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Anirudh Thatipelli, Sanath Narayan, Salman Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Bernard Ghanem:
Spatio-temporal Relation Modeling for Few-shot Action Recognition. CVPR 2022: 19926-19935
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Andra Acsintoae, Andrei Florescu, Mariana-Iuliana Georgescu, Tudor Mare, Paul Sumedrea, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah:
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection. CVPR 2022: 20111-20121
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Muhammad Maaz, Abdelrahman M. Shaker, Hisham Cholakkal, Salman H. Khan, Syed Waqas Zamir, Rao Muhammad Anwer, Fahad Shahbaz Khan:
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications. ECCV Workshops (7) 2022: 3-20
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Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan:
Dense Gaussian Processes for Few-Shot Segmentation. ECCV (29) 2022: 217-234
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Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg:
DoodleFormer: Creative Sketch Drawing with Transformers. ECCV (17) 2022: 338-355
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Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah:
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning. ECCV (31) 2022: 382-401
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Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Ming-Hsuan Yang:
Class-Agnostic Object Detection with Multi-modal Transformer. ECCV (10) 2022: 512-531
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Omkar Thawakar, Sanath Narayan, Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Muhammad Haris Khan, Salman Khan, Michael Felsberg, Fahad Shahbaz Khan:
Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer. ECCV (29) 2022: 666-681
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Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Fahad Shahbaz Khan, Fatih Porikli:
On Improving Adversarial Transferability of Vision Transformers. ICLR 2022
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Nicolae-Catalin Ristea, Radu Tudor Ionescu, Fahad Shahbaz Khan:
SepTr: Separable Transformer for Audio Spectrogram Processing. INTERSPEECH 2022: 4103-4107
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Jin Xie, Rao Muhammad Anwer, Hisham Cholakkal, Jing Nie, Jiale Cao, Jorma Laaksonen, Fahad Shahbaz Khan:
Learning a Dynamic Cross-Modal Network for Multispectral Pedestrian Detection. ACM Multimedia 2022: 4043-4052
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Fatima Albreiki, Sultan Abu Ghazal, Jean Lahoud, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan:
On the Robustness of 3D Object Detectors. MMAsia 2022: 22:1-22:7
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Dhanalaxmi Gaddam, Jean Lahoud, Fahad Shahbaz Khan, Rao Muhammad Anwer, Hisham Cholakkal:
CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection. MMAsia 2022: 27:1-27:8
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Hanoona Abdul Rasheed, Muhammad Maaz, Muhammad Uzair Khattak, Salman H. Khan, Fahad Shahbaz Khan:
Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection. NeurIPS 2022
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Xi Weng, Lei Huang, Lei Zhao, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan:
An Investigation into Whitening Loss for Self-supervised Learning. NeurIPS 2022
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Puneet Mangla, Shivam Chandhok, Vineeth N. Balasubramanian, Fahad Shahbaz Khan:
COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. WACV 2022: 1618-1627
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Fahad Shamshad, Salman Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat, Fahad Shahbaz Khan, Huazhu Fu:
Transformers in Medical Imaging: A Survey. CoRR abs/2201.09873 (2022)
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Nicolae-Catalin Ristea, Radu Tudor Ionescu, Fahad Shahbaz Khan:
SepTr: Separable Transformer for Audio Spectrogram Processing. CoRR abs/2203.09581 (2022)
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Omkar Thawakar, Sanath Narayan, Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Muhammad Haris Khan, Salman Khan, Michael Felsberg, Fahad Shahbaz Khan:
Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer. CoRR abs/2203.13253 (2022)
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K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Vineeth N. Balasubramanian:
Energy-based Latent Aligner for Incremental Learning. CoRR abs/2203.14952 (2022)
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Jiale Cao, Yanwei Pang, Rao Muhammad Anwer, Hisham Cholakkal, Jin Xie, Mubarak Shah, Fahad Shahbaz Khan:
PSTR: End-to-End One-Step Person Search With Transformers. CoRR abs/2204.03340 (2022)
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Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron, Olivian Savencu, Nicolae-Catalin Ristea, Nicolae Verga, Fahad Shahbaz Khan:
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution. CoRR abs/2204.04218 (2022)
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Mohammed Hassanin, Saeed Anwar, Ibrahim Radwan, Fahad Shahbaz Khan, Ajmal S. Mian:
Visual Attention Methods in Deep Learning: An In-Depth Survey. CoRR abs/2204.07756 (2022)
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Jyoti Kini, Fahad Shahbaz Khan, Salman Khan, Mubarak Shah:
Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging. CoRR abs/2204.10846 (2022)
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Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Fast Image Restoration and Enhancement. CoRR abs/2205.01649 (2022)
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Muhammad Maaz, Abdelrahman M. Shaker, Hisham Cholakkal, Salman Khan, Syed Waqas Zamir, Rao Muhammad Anwer, Fahad Shahbaz Khan:
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications. CoRR abs/2206.10589 (2022)
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Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah:
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning. CoRR abs/2207.02261 (2022)
[i108]
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Hanoona Abdul Rasheed, Muhammad Maaz, Muhammad Uzair Khattak, Salman H. Khan, Fahad Shahbaz Khan:
Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection. CoRR abs/2207.03482 (2022)
[i107]
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Antonio Barbalau, Radu Tudor Ionescu, Mariana-Iuliana Georgescu, Jacob V. Dueholm, Bharathkumar Ramachandra, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection. CoRR abs/2207.08003 (2022)
[i106]
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Hashmat Shadab Malik, Shahina K. Kunhimon, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations. CoRR abs/2207.08803 (2022)
[i105]
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  - journals/corr/abs-2207-10205
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Fatima Albreiki, Sultan Abughazal, Jean Lahoud, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan:
On the Robustness of 3D Object Detectors. CoRR abs/2207.10205 (2022)
[i104]
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  - journals/corr/abs-2207-12392
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Maryam Sultana, Muzammal Naseer, Muhammad Haris Khan, Salman Khan, Fahad Shahbaz Khan:
Self-Distilled Vision Transformer for Domain Generalization. CoRR abs/2207.12392 (2022)
[i103]
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Abdelrahman Mohamed, Rushali Grandhe, K. J. Joseph, Salman Khan, Fahad Shahbaz Khan:
D³Former: Debiased Dual Distilled Transformer for Incremental Learning. CoRR abs/2208.00777 (2022)
[i102]
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Jean Lahoud, Jiale Cao, Fahad Shahbaz Khan, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan, Ming-Hsuan Yang:
3D Vision with Transformers: A Survey. CoRR abs/2208.04309 (2022)
[i101]
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Xiaoheng Jiang, Xinyi Wu, Hisham Cholakkal, Rao Muhammad Anwer, Jiale Cao, Mingliang Xu, Bing Zhou, Yanwei Pang, Fahad Shahbaz Khan:
Multi-scale Feature Aggregation for Crowd Counting. CoRR abs/2208.05256 (2022)
[i100]
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Mubashir Noman, Wafa Al Ghallabi, Daniya Najiha, Christoph Mayer, Akshay Dudhane, Martin Danelljan, Hisham Cholakkal, Salman Khan, Luc Van Gool, Fahad Shahbaz Khan:
AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility. CoRR abs/2208.06888 (2022)
[i99]
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Abdulaziz Amer Aleissaee, Amandeep Kumar, Rao Muhammad Anwer, Salman Khan, Hisham Cholakkal, Gui-Song Xia, Fahad Shahbaz Khan:
Transformers in Remote Sensing: A Survey. CoRR abs/2209.01206 (2022)
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Dhanalaxmi Gaddam, Jean Lahoud, Fahad Shahbaz Khan, Rao Muhammad Anwer, Hisham Cholakkal:
CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection. CoRR abs/2209.06641 (2022)
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Neelu Madan, Nicolae-Catalin Ristea, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection. CoRR abs/2209.12148 (2022)
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  - journals/corr/abs-2210-03114
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Vishal Thengane, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan:
CLIP model is an Efficient Continual Learner. CoRR abs/2210.03114 (2022)
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Muhammad Uzair Khattak, Hanoona Abdul Rasheed, Muhammad Maaz, Salman Khan, Fahad Shahbaz Khan:
MaPLe: Multi-modal Prompt Learning. CoRR abs/2210.03117 (2022)
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Mustansar Fiaz, Hisham Cholakkal, Sanath Narayan, Rao Muhammad Anwer, Fahad Shahbaz Khan:
PS-ARM: An End-to-End Attention-aware Relation Mixer Network for Person Search. CoRR abs/2210.03433 (2022)
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Xi Weng, Lei Huang, Lei Zhao, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan:
An Investigation into Whitening Loss for Self-supervised Learning. CoRR abs/2210.03586 (2022)
[i92]
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  - journals/corr/abs-2211-12500
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Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan:
Person Image Synthesis via Denoising Diffusion Model. CoRR abs/2211.12500 (2022)
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Nicolae-Catalin Ristea, Florinel-Alin Croitoru, Dana Dascalescu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah:
Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation. CoRR abs/2211.15597 (2022)
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  - journals/corr/abs-2212-03640
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Hanoona Abdul Rasheed, Muhammad Uzair Khattak, Muhammad Maaz, Salman Khan, Fahad Shahbaz Khan:
Fine-tuned CLIP Models are Efficient Video Learners. CoRR abs/2212.03640 (2022)
[i89]
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  - journals/corr/abs-2212-04497
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Abdelrahman M. Shaker, Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation. CoRR abs/2212.04497 (2022)
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Sheng Zhang, Salman Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Shahbaz Khan:
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery. CoRR abs/2212.05590 (2022)
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Muzammal Naseer, Salman Khan, Fatih Porikli, Fahad Shahbaz Khan:
Guidance Through Surrogate: Towards a Generic Diagnostic Attack. CoRR abs/2212.14875 (2022)
2021
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Jin Xie, Yanwei Pang, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
PSC-Net: learning part spatial co-occurrence for occluded pedestrian detection. Sci. China Inf. Sci. 64(2) (2021)
[j19]
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Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Learning digital camera pipeline for extreme low-light imaging. Neurocomputing 452: 37-47 (2021)
[j18]
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Juhar Ahmed Abdella, Nazar M. Zaki, Khaled Shuaib, Fahad Shahbaz Khan:
Airline ticket price and demand prediction: A survey. J. King Saud Univ. Comput. Inf. Sci. 33(4): 375-391 (2021)
[j17]
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Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen:
Compact Deep Color Features for Remote Sensing Scene Classification. Neural Process. Lett. 53(2): 1523-1544 (2021)
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Jin Xie, Yanwei Pang, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
Mask-Guided Attention Network and Occlusion-Sensitive Hard Example Mining for Occluded Pedestrian Detection. IEEE Trans. Image Process. 30: 3872-3884 (2021)
[c99]
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Mohamed Afham, Salman Khan, Muhammad Haris Khan, Muzammal Naseer, Fahad Shahbaz Khan:
Rich Semantics Improve Few-Shot Learning. BMVC 2021: 152
[c98]
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Muhammad Haris Khan, Syed Muhammad talha Zaidi, Salman Khan, Fahad Shahbaz Khan:
Mode-Guided Feature Augmentation for Domain Generalization. BMVC 2021: 176
[c97]
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Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Self-supervised Knowledge Distillation for Few-shot Learning. BMVC 2021: 179
[c96]
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Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Meta-learning the Learning Trends Shared Across Tasks. BMVC 2021: 182
[c95]
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Shivam Chandhok, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Vineeth N. Balasubramanian, Fahad Shahbaz Khan, Ling Shao:
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains. BMVC 2021: 207
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K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian:
Towards Open World Object Detection. CVPR 2021: 5830-5840
[c93]
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Mamshad Nayeem Rizve, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning. CVPR 2021: 10836-10846
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Mariana-Iuliana Georgescu, Antonio Barbalau, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah:
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning. CVPR 2021: 12742-12752
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Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Multi-Stage Progressive Image Restoration. CVPR 2021: 14821-14831
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Wencheng Han, Xingping Dong, Fahad Shahbaz Khan, Ling Shao, Jianbing Shen:
Learning To Fuse Asymmetric Feature Maps in Siamese Trackers. CVPR 2021: 16570-16580
[c89]
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Ankan Kumar Bhunia, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Mubarak Shah:
Handwriting Transformers. ICCV 2021: 1066-1074
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Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
On Generating Transferable Targeted Perturbations. ICCV 2021: 7688-7697
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Sanath Narayan, Akshita Gupta, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Mubarak Shah:
Discriminative Region-based Multi-Label Zero-Shot Learning. ICCV 2021: 8711-8720
[c86]
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Kanchana Ranasinghe, Muzammal Naseer, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan:
Orthogonal Projection Loss. ICCV 2021: 12313-12323
[c85]
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Sanath Narayan, Hisham Cholakkal, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations. ICCV 2021: 13588-13597
[c84]
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Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhenhua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed S. Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu:
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738
[c83]
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Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Intriguing Properties of Vision Transformers. NeurIPS 2021: 23296-23308
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Aditya Arora, Muhammad Haris, Syed Waqas Zamir, Munawar Hayat, Fahad Shahbaz Khan, Ling Shao, Ming-Hsuan Yang:
Low Light Image Enhancement via Global and Local Context Modeling. CoRR abs/2101.00850 (2021)
[i85]
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Salman H. Khan, Muzammal Naseer, Munawar Hayat, Syed Waqas Zamir, Fahad Shahbaz Khan, Mubarak Shah:
Transformers in Vision: A Survey. CoRR abs/2101.01169 (2021)
[i84]
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Akshita Gupta, Sanath Narayan, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Joost van de Weijer:
Generative Multi-Label Zero-Shot Learning. CoRR abs/2101.11606 (2021)
[i83]
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Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Multi-Stage Progressive Image Restoration. CoRR abs/2102.02808 (2021)
[i82]
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Mamshad Nayeem Rizve, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning. CoRR abs/2103.01315 (2021)
[i81]
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K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian:
Towards Open World Object Detection. CoRR abs/2103.02603 (2021)
[i80]
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  - journals/corr/abs-2103-14021
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Kanchana Ranasinghe, Muzammal Naseer, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan:
Orthogonal Projection Loss. CoRR abs/2103.14021 (2021)
[i79]
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Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
On Generating Transferable Targeted Perturbations. CoRR abs/2103.14641 (2021)
[i78]
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Joakim Johnander, Johan Edstedt, Martin Danelljan, Michael Felsberg, Fahad Shahbaz Khan:
Deep Gaussian Processes for Few-Shot Segmentation. CoRR abs/2103.16549 (2021)
[i77]
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  - journals/corr/abs-2104-03964
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Ankan Kumar Bhunia, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Mubarak Shah:
Handwriting Transformers. CoRR abs/2104.03964 (2021)
[i76]
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Mohamed Afham, Salman H. Khan, Muhammad Haris Khan, Muzammal Naseer, Fahad Shahbaz Khan:
Rich Semantics Improve Few-shot Learning. CoRR abs/2104.12709 (2021)
[i75]
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Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Joost van de Weijer:
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. CoRR abs/2104.13742 (2021)
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Muzammal Naseer, Kanchana Ranasinghe, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Intriguing Properties of Vision Transformers. CoRR abs/2105.10497 (2021)
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Muzammal Naseer, Kanchana Ranasinghe, Salman H. Khan, Fahad Shahbaz Khan, Fatih Porikli:
On Improving Adversarial Transferability of Vision Transformers. CoRR abs/2106.04169 (2021)
[i72]
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  - journals/corr/abs-2107-05622
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Shivam Chandhok, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Vineeth N. Balasubramanian, Fahad Shahbaz Khan, Ling Shao:
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains. CoRR abs/2107.05622 (2021)
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Puneet Mangla, Shivam Chandhok, Vineeth N. Balasubramanian, Fahad Shahbaz Khan:
Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. CoRR abs/2107.07497 (2021)
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Sanath Narayan, Akshita Gupta, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Mubarak Shah:
Discriminative Region-based Multi-Label Zero-Shot Learning. CoRR abs/2108.09301 (2021)
[i69]
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  - journals/corr/abs-2110-03674
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Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan:
Dense Gaussian Processes for Few-Shot Segmentation. CoRR abs/2110.03674 (2021)
[i68]
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Akshay Dudhane, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Burst Image Restoration and Enhancement. CoRR abs/2110.03680 (2021)
[i67]
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Nicolae-Catalin Ristea, Andreea-Iuliana Miron, Olivian Savencu, Mariana-Iuliana Georgescu, Nicolae Verga, Fahad Shahbaz Khan, Radu Tudor Ionescu:
CyTran: Cycle-Consistent Transformers for Non-Contrast to Contrast CT Translation. CoRR abs/2110.06400 (2021)
[i66]
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  - journals/corr/abs-2111-08644
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Andra Acsintoae, Andrei Florescu, Mariana-Iuliana Georgescu, Tudor Mare, Paul Sumedrea, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah:
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection. CoRR abs/2111.08644 (2021)
[i65]
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  - journals/corr/abs-2111-09099
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Nicolae-Catalin Ristea, Neelu Madan, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah:
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection. CoRR abs/2111.09099 (2021)
[i64]
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Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Restormer: Efficient Transformer for High-Resolution Image Restoration. CoRR abs/2111.09881 (2021)
[i63]
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  - journals/corr/abs-2111-11430
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Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Ming-Hsuan Yang:
Multi-modal Transformers Excel at Class-agnostic Object Detection. CoRR abs/2111.11430 (2021)
[i62]
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  - journals/corr/abs-2112-01513
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Akshita Gupta, Sanath Narayan, K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
OW-DETR: Open-world Detection Transformer. CoRR abs/2112.01513 (2021)
[i61]
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Kanchana Ranasinghe, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan, Michael S. Ryoo:
Self-supervised Video Transformer. CoRR abs/2112.01514 (2021)
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Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan, Muhammad Haris Khan, Michael Felsberg, Jiri Matas:
Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook. CoRR abs/2112.02838 (2021)
[i59]
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Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg:
DoodleFormer: Creative Sketch Drawing with Transformers. CoRR abs/2112.03258 (2021)
[i58]
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  - journals/corr/abs-2112-05132
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Anirudh Thatipelli, Sanath Narayan, Salman Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Bernard Ghanem:
Spatio-temporal Relation Modeling for Few-shot Action Recognition. CoRR abs/2112.05132 (2021)
2020
[j15]
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Liyuan Liu, Yanwei Pang, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Filling the Gaps in Atrous Convolution: Semantic Segmentation With a Better Context. IEEE Access 8: 34019-34028 (2020)
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Bertil Grelsson, Andreas Robinson, Michael Felsberg, Fahad Shahbaz Khan:
GPS-level accurate camera localization with HorizonNet. J. Field Robotics 37(6): 951-971 (2020)
[j13]
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  - journals/pami/EldesokeyFK20
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Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan:
Confidence Propagation through CNNs for Guided Sparse Depth Regression. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2423-2436 (2020)
[c82]
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  - conf/aaai/SunCK0020
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Guolei Sun, Hisham Cholakkal, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Fine-Grained Recognition: Accounting for Subtle Differences between Similar Classes. AAAI 2020: 12047-12054
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  - conf/accv/RahmanKBK20
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Shafin Rahman, Salman H. Khan, Nick Barnes, Fahad Shahbaz Khan:
Any-Shot Object Detection. ACCV (3) 2020: 89-106
[c80]
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  - conf/accv/HayatHRKZK20
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Nasir Hayat, Munawar Hayat, Shafin Rahman, Salman H. Khan, Syed Waqas Zamir, Fahad Shahbaz Khan:
Synthesizing the Unseen for Zero-Shot Object Detection. ACCV (3) 2020: 155-170
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  - conf/cvpr/NaseerKHKP20
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Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
A Self-supervised Approach for Adversarial Robustness. CVPR 2020: 259-268
[c78]
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  - conf/cvpr/ZamirAKHK0020
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Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
CycleISP: Real Image Restoration via Improved Data Synthesis. CVPR 2020: 2693-2702
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  - conf/cvpr/WangYDK0S20
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Tiancai Wang, Tong Yang, Martin Danelljan, Fahad Shahbaz Khan, Xiangyu Zhang, Jian Sun:
Learning Human-Object Interaction Detection Using Interaction Points. CVPR 2020: 4115-4124
[c76]
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  - conf/cvpr/WangKG0K20
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Yaxing Wang, Salman H. Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Semi-Supervised Learning for Few-Shot Image-to-Image Translation. CVPR 2020: 4452-4461
[c75]
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Muhammad Haris Khan, John McDonagh, Salman H. Khan, Muhammad Shahabuddin, Aditya Arora, Fahad Shahbaz Khan, Ling Shao, Georgios Tzimiropoulos:
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces. CVPR 2020: 6937-6946
[c74]
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Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Learning Fast and Robust Target Models for Video Object Segmentation. CVPR 2020: 7404-7413
[c73]
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  - conf/cvpr/WangGBHK020
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Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer:
MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images. CVPR 2020: 9329-9338
[c72]
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Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao:
D2Det: Towards High Quality Object Detection and Instance Segmentation. CVPR 2020: 11482-11491
[c71]
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Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
iTAML: An Incremental Task-Agnostic Meta-learning Approach. CVPR 2020: 13585-13594
[c70]
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Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao:
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation. ECCV (14) 2020: 1-18
[c69]
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  - conf/eccv/XieCAKPSS20
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Jin Xie, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Mubarak Shah:
Count- and Similarity-Aware R-CNN for Pedestrian Detection. ECCV (17) 2020: 88-104
[c68]
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Guolei Sun, Salman H. Khan, Wen Li, Hisham Cholakkal, Fahad Shahbaz Khan, Luc Van Gool:
Fixing Localization Errors to Improve Image Classification. ECCV (25) 2020: 271-287
[c67]
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  - conf/eccv/WeiLTLZPLXFZLHD20
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Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir:
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 392-422
[c66]
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Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees G. M. Snoek, Ling Shao:
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification. ECCV (22) 2020: 479-495
[c65]
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Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Real Image Restoration and Enhancement. ECCV (25) 2020: 492-511
[i57]
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  - journals/corr/abs-2001-09252
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Jin Xie, Yanwei Pang, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
PSC-Net: Learning Part Spatial Co-occurence for Occluded Pedestrian Detection. CoRR abs/2001.09252 (2020)
[i56]
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  - journals/corr/abs-2003-00908
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Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Learning Fast and Robust Target Models for Video Object Segmentation. CoRR abs/2003.00908 (2020)
[i55]
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  - journals/corr/abs-2003-06792
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Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Real Image Restoration and Enhancement. CoRR abs/2003.06792 (2020)
[i54]
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Shafin Rahman, Salman H. Khan, Nick Barnes, Fahad Shahbaz Khan:
Any-Shot Object Detection. CoRR abs/2003.07003 (2020)
[i53]
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  - journals/corr/abs-2003-07761
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Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
CycleISP: Real Image Restoration via Improved Data Synthesis. CoRR abs/2003.07761 (2020)
[i52]
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  - journals/corr/abs-2003-07833
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Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees G. M. Snoek, Ling Shao:
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification. CoRR abs/2003.07833 (2020)
[i51]
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  - journals/corr/abs-2003-08798
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K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth Balasubramanian, Ling Shao:
Incremental Object Detection via Meta-Learning. CoRR abs/2003.08798 (2020)
[i50]
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  - journals/corr/abs-2003-11652
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Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
iTAML: An Incremental Task-Agnostic Meta-learning Approach. CoRR abs/2003.11652 (2020)
[i49]
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  - journals/corr/abs-2003-13853
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Yaxing Wang, Salman H. Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Semi-supervised Learning for Few-shot Image-to-Image Translation. CoRR abs/2003.13853 (2020)
[i48]
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  - journals/corr/abs-2003-14023
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Tiancai Wang, Tong Yang, Martin Danelljan, Fahad Shahbaz Khan, Xiangyu Zhang, Jian Sun:
Learning Human-Object Interaction Detection using Interaction Points. CoRR abs/2003.14023 (2020)
[i47]
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  - journals/corr/abs-2006-04924
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Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
A Self-supervised Approach for Adversarial Robustness. CoRR abs/2006.04924 (2020)
[i46]
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  - journals/corr/abs-2006-09785
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Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Self-supervised Knowledge Distillation for Few-shot Learning. CoRR abs/2006.09785 (2020)
[i45]
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  - journals/corr/abs-2007-14672
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Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
Stylized Adversarial Defense. CoRR abs/2007.14672 (2020)
[i44]
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  - journals/corr/abs-2007-14772
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Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao:
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation. CoRR abs/2007.14772 (2020)
[i43]
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  - journals/corr/abs-2008-10774
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Saeed Anwar, Muhammad Tahir, Chongyi Li, Ajmal Mian, Fahad Shahbaz Khan, Abdul Wahab Muzaffar:
Image Colorization: A Survey and Dataset. CoRR abs/2008.10774 (2020)
[i42]
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  - journals/corr/abs-2008-12328
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Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah:
A Scene-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video. CoRR abs/2008.12328 (2020)
[i41]
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  - journals/corr/abs-2009-12072
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Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir:
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. CoRR abs/2009.12072 (2020)
[i40]
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  - journals/corr/abs-2010-00456
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Jiale Cao, Yanwei Pang, Jin Xie, Fahad Shahbaz Khan, Ling Shao:
From Handcrafted to Deep Features for Pedestrian Detection: A Survey. CoRR abs/2010.00456 (2020)
[i39]
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  - journals/corr/abs-2010-09291
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Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Meta-learning the Learning Trends Shared Across Tasks. CoRR abs/2010.09291 (2020)
[i38]
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  - journals/corr/abs-2010-09425
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Nasir Hayat, Munawar Hayat, Shafin Rahman, Salman H. Khan, Syed Waqas Zamir, Fahad Shahbaz Khan:
Synthesizing the Unseen for Zero-shot Object Detection. CoRR abs/2010.09425 (2020)
[i37]
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  - journals/corr/abs-2011-07491
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Mariana-Iuliana Georgescu, Antonio Barbalau, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah:
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning. CoRR abs/2011.07491 (2020)
[i36]
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  - journals/corr/abs-2012-02776
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Wencheng Han, Xingping Dong, Fahad Shahbaz Khan, Ling Shao, Jianbing Shen:
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers. CoRR abs/2012.02776 (2020)
[i35]
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  - journals/corr/abs-2012-06440
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Sanath Narayan, Hisham Cholakkal, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations. CoRR abs/2012.06440 (2020)

2010 – 2019

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2019
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Martin Danelljan, Goutam Bhat, Susanna Gladh, Fahad Shahbaz Khan, Michael Felsberg:
Deep motion and appearance cues for visual tracking. Pattern Recognit. Lett. 124: 74-81 (2019)
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Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Synthetic Data Generation for End-to-End Thermal Infrared Tracking. IEEE Trans. Image Process. 28(4): 1837-1850 (2019)
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  - conf/caip/AnwerKLZ19
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Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Nazar Zaki:
Multi-stream Convolutional Networks for Indoor Scene Recognition. CAIP (1) 2019: 196-208
[c63]
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  - conf/cvpr/ZamirAGKSK00XB19
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Syed Waqas Zamir, Aditya Arora, Akshita Gupta, Salman H. Khan, Guolei Sun, Fahad Shahbaz Khan, Fan Zhu, Ling Shao, Gui-Song Xia, Xiang Bai:
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images. CVPR Workshops 2019: 28-37
[c62]
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  - conf/cvpr/NahTBHMSL19
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Seungjun Nah, Radu Timofte, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Hyeonjun Sim, Munchurl Kim, Dongwon Park, Jisoo Kim, Se Young Chun, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Rahul Kumar Gupta, Vishal M. Chudasama, Heena Patel, Kishor P. Upla, Hongfei Fan, Guo Li, Yumei Zhang, Xiang Li, Wenjie Zhang, Qingwen He, Kuldeep Purohit, A. N. Rajagopalan, Jeonghun Kim, Mohammad Tofighi, Tiantong Guo, Vishal Monga:
NTIRE 2019 Challenge on Video Deblurring: Methods and Results. CVPR Workshops 2019: 1974-1984
[c61]
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  - conf/cvpr/AbdelhamedTB19
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Abdelrahman Abdelhamed, Radu Timofte, Michael S. Brown, Songhyun Yu, Bumjun Park, Jechang Jeong, Seung-Won Jung, Dong-Wook Kim, Jae Ryun Chung, Jiaming Liu, Yuzhi Wang, Chi-Hao Wu, Qin Xu, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang, Kai Zhang, Wangmeng Zuo, Magauiya Zhussip, Dongwon Park, Shakarim Soltanayev, Se Young Chun, Zhiwei Xiong, Chang Chen, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Sung-Jea Ko, Dong-Pan Lim, Seung-Wook Kim, Seo-Won Ji, Sang-Won Lee, Wenyi Tang, Yuchen Fan, Yuqian Zhou, Ding Liu, Thomas S. Huang, Deyu Meng, Lei Zhang, Hongwei Yong, Yiyun Zhao, Pengliang Tang, Yue Lu, Raimondo Schettini, Simone Bianco, Simone Zini, Chi Li, Yang Wang, Zhiguo Cao:
NTIRE 2019 Challenge on Real Image Denoising: Methods and Results. CVPR Workshops 2019: 2197-2210
[c60]
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  - conf/cvpr/CaiGTZa19
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Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He:
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. CVPR Workshops 2019: 2211-2223
[c59]
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  - conf/cvpr/IgnatovT19
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Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi:
NTIRE 2019 Challenge on Image Enhancement: Methods and Results. CVPR Workshops 2019: 2224-2232
[c58]
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Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
ATOM: Accurate Tracking by Overlap Maximization. CVPR 2019: 4660-4669
[c57]
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  - conf/cvpr/PangWAK019
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Yanwei Pang, Tiancai Wang, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
Efficient Featurized Image Pyramid Network for Single Shot Detector. CVPR 2019: 7336-7344
[c56]
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  - conf/cvpr/IonescuKG019
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Radu Tudor Ionescu, Fahad Shahbaz Khan, Mariana-Iuliana Georgescu, Ling Shao:
Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video. CVPR 2019: 7842-7851
[c55]
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  - conf/cvpr/JohnanderDBKF19
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Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg:
A Generative Appearance Model for End-To-End Video Object Segmentation. CVPR 2019: 8953-8962
[c54]
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  - conf/cvpr/MandalNDGAK019
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Devraj Mandal, Sanath Narayan, Sai Kumar Dwivedi, Vikram Gupta, Shuaib Ahmed, Fahad Shahbaz Khan, Ling Shao:
Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition. CVPR 2019: 9985-9993
[c53]
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  - conf/cvpr/CholakkalSK019
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Hisham Cholakkal, Guolei Sun, Fahad Shahbaz Khan, Ling Shao:
Object Counting and Instance Segmentation With Image-Level Supervision. CVPR 2019: 12397-12405
[c52]
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  - conf/iccv/WangACKP019
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Tiancai Wang, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao:
Learning Rich Features at High-Speed for Single-Shot Object Detection. ICCV 2019: 1971-1980
[c51]
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Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Learning the Model Update for Siamese Trackers. ICCV 2019: 4009-4018
[c50]
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Yanwei Pang, Jin Xie, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
Mask-Guided Attention Network for Occluded Pedestrian Detection. ICCV 2019: 4966-4974
[c49]
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  - conf/iccv/WangAKKP0L19
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Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Jorma Laaksonen:
Deep Contextual Attention for Human-Object Interaction Detection. ICCV 2019: 5693-5701
[c48]
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  - conf/iccv/NarayanCK019
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Sanath Narayan, Hisham Cholakkal, Fahad Shahbaz Khan, Ling Shao:
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization. ICCV 2019: 8678-8686
[c47]
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  - conf/iccv/NieACKP019
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Jing Nie, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao:
Enriched Feature Guided Refinement Network for Object Detection. ICCV 2019: 9536-9545
[c46]
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  - conf/iccvw/KristanBZRGBDDN19
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Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241
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Lichao Zhang, Martin Danelljan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Multi-Modal Fusion for End-to-End RGB-T Tracking. ICCV Workshops 2019: 2252-2261
[c44]
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  - conf/nips/RajasegaranH0K019
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Jathushan Rajasegaran, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Random Path Selection for Continual Learning. NeurIPS 2019: 12648-12658
[c43]
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Muzammal Naseer, Salman H. Khan, Muhammad Haris Khan, Fahad Shahbaz Khan, Fatih Porikli:
Cross-Domain Transferability of Adversarial Perturbations. NeurIPS 2019: 12885-12895
[i34]
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  - journals/corr/abs-1903-02494
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Hisham Cholakkal, Guolei Sun, Fahad Shahbaz Khan, Ling Shao:
Object Counting and Instance Segmentation with Image-level Supervision. CoRR abs/1903.02494 (2019)
[i33]
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  - journals/corr/abs-1904-05939
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Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Learning Digital Camera Pipeline for Extreme Low-Light Imaging. CoRR abs/1904.05939 (2019)
[i32]
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Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Discriminative Online Learning for Fast Video Object Segmentation. CoRR abs/1904.08630 (2019)
[i31]
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Devraj Mandal, Sanath Narayan, Saikumar Dwivedi, Vikram Gupta, Shuaib Ahmed, Fahad Shahbaz Khan, Ling Shao:
Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition. CoRR abs/1904.08703 (2019)
[i30]
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  - journals/corr/abs-1905-11736
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Muzammal Naseer, Salman H. Khan, Muhammad Haris Khan, Fahad Shahbaz Khan, Fatih Porikli:
Cross-Domain Transferability of Adversarial Perturbations. CoRR abs/1905.11736 (2019)
[i29]
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Syed Waqas Zamir, Aditya Arora, Akshita Gupta, Salman H. Khan, Guolei Sun, Fahad Shahbaz Khan, Fan Zhu, Ling Shao, Gui-Song Xia, Xiang Bai:
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images. CoRR abs/1905.12886 (2019)
[i28]
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  - journals/corr/abs-1906-01120
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Jathushan Rajasegaran, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Random Path Selection for Incremental Learning. CoRR abs/1906.01120 (2019)
[i27]
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Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Learning the Model Update for Siamese Trackers. CoRR abs/1908.00855 (2019)
[i26]
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  - journals/corr/abs-1908-08216
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Sanath Narayan, Hisham Cholakkal, Fahad Shahbaz Khan, Ling Shao:
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization. CoRR abs/1908.08216 (2019)
[i25]
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Lichao Zhang, Martin Danelljan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Multi-Modal Fusion for End-to-End RGB-T Tracking. CoRR abs/1908.11714 (2019)
[i24]
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  - journals/corr/abs-1909-04951
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Muhammad Haris Khan, John McDonagh, Salman H. Khan, Muhammad Shahabuddin, Aditya Arora, Fahad Shahbaz Khan, Ling Shao, Georgios Tzimiropoulos:
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces. CoRR abs/1909.04951 (2019)
[i23]
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Yanwei Pang, Jin Xie, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
Mask-Guided Attention Network for Occluded Pedestrian Detection. CoRR abs/1910.06160 (2019)
[i22]
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  - journals/corr/abs-1910-07721
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Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Jorma Laaksonen:
Deep Contextual Attention for Human-Object Interaction Detection. CoRR abs/1910.07721 (2019)
[i21]
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  - journals/corr/abs-1912-05270
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Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer:
MineGAN: effective knowledge transfer from GANs to target domains with few images. CoRR abs/1912.05270 (2019)
[i20]
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Hisham Cholakkal, Guolei Sun, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Luc Van Gool:
Towards Partial Supervision for Generic Object Counting in Natural Scenes. CoRR abs/1912.06448 (2019)
[i19]
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  - journals/corr/abs-1912-06842
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Guolei Sun, Hisham Cholakkal, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes. CoRR abs/1912.06842 (2019)
2018
[j10]
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Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen:
Scale coding bag of deep features for human attribute and action recognition. Mach. Vis. Appl. 29(1): 55-71 (2018)
[j9]
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Lu Yu, Lichao Zhang, Joost van de Weijer, Fahad Shahbaz Khan, Yongmei Cheng, C. Alejandro Párraga:
Beyond Eleven Color Names for Image Understanding. Mach. Vis. Appl. 29(2): 361-373 (2018)
[c42]
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Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Combining Local and Global Models for Robust Re-detection. AVSS 2018: 1-6
[c41]
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Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan:
Propagating Confidences through CNNs for Sparse Data Regression. BMVC 2018: 14
[c40]
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Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Per-Erik Forssén, Michael Felsberg:
Density Adaptive Point Set Registration. CVPR 2018: 3829-3837
[c39]
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Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed S. Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53
[c38]
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Joakim Johnander, Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
On the Optimization of Advanced DCF-Trackers. ECCV Workshops (1) 2018: 54-69
[c37]
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Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Unveiling the Power of Deep Tracking. ECCV (2) 2018: 493-509
[c36]
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  - conf/icb/AnwerKL18
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Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen:
Two-Stream Part-Based Deep Representation for Human Attribute Recognition. ICB 2018: 90-97
[c35]
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Bertil Grelsson, Andreas Robinson, Michael Felsberg, Fahad Shahbaz Khan:
HorizonNet for visual terrain navigation. IPAS 2018: 149-155
[c34]
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Gustav Häger, Michael Felsberg, Fahad Shahbaz Khan:
Countering Bias in Tracking Evaluations. VISIGRAPP (5: VISAPP) 2018: 581-587
[i18]
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Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Per-Erik Forssén, Michael Felsberg:
Density Adaptive Point Set Registration. CoRR abs/1804.01495 (2018)
[i17]
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  - journals/corr/abs-1804-06833
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Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Unveiling the Power of Deep Tracking. CoRR abs/1804.06833 (2018)
[i16]
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  - journals/corr/abs-1805-11913
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Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan:
Propagating Confidences through CNNs for Sparse Data Regression. CoRR abs/1805.11913 (2018)
[i15]
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  - journals/corr/abs-1806-01013
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Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Synthetic data generation for end-to-end thermal infrared tracking. CoRR abs/1806.01013 (2018)
[i14]
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Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan:
Confidence Propagation through CNNs for Guided Sparse Depth Regression. CoRR abs/1811.01791 (2018)
[i13]
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  - journals/corr/abs-1811-07628
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Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
ATOM: Accurate Tracking by Overlap Maximization. CoRR abs/1811.07628 (2018)
[i12]
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  - journals/corr/abs-1811-11611
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Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg:
A Generative Appearance Model for End-to-end Video Object Segmentation. CoRR abs/1811.11611 (2018)
[i11]
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  - journals/corr/abs-1812-04960
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Radu Tudor Ionescu, Fahad Shahbaz Khan, Mariana-Iuliana Georgescu, Ling Shao:
Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video. CoRR abs/1812.04960 (2018)
2017
[j8]
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Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Discriminative Scale Space Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1561-1575 (2017)
[c33]
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Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
DCCO: Towards Deformable Continuous Convolution Operators for Visual Tracking. CAIP (1) 2017: 55-67
[c32]
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  - conf/caip/LawinDTBKF17
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Felix Järemo Lawin, Martin Danelljan, Patrik Tosteberg, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
Deep Projective 3D Semantic Segmentation. CAIP (1) 2017: 95-107
[c31]
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Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan:
Ellipse Detection for Visual Cyclists Analysis "In the Wild". CAIP (1) 2017: 319-331
[c30]
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Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
ECO: Efficient Convolution Operators for Tracking. CVPR 2017: 6931-6939
[c29]
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Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Andrej Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, A. Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Sousa Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, João F. Henriques, José M. Martínez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, Payman Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus B. Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He:
The Visual Object Tracking VOT2017 Challenge Results. ICCV Workshops 2017: 1949-1972
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Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen:
TEX-Nets: Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition. ICMR 2017: 125-132
[c27]
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Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen:
Top-Down Deep Appearance Attention for Action Recognition. SCIA (1) 2017: 297-309
[i10]
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Felix Järemo Lawin, Martin Danelljan, Patrik Tosteberg, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
Deep Projective 3D Semantic Segmentation. CoRR abs/1705.03428 (2017)
[i9]
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Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Matthieu Molinier, Jorma Laaksonen:
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification. CoRR abs/1706.01171 (2017)
[i8]
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Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
DCCO: Towards Deformable Continuous Convolution Operators. CoRR abs/1706.02888 (2017)
2016
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Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking. CVPR 2016: 1430-1438
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Martin Danelljan, Giulia Meneghetti, Fahad Shahbaz Khan, Michael Felsberg:
A Probabilistic Framework for Color-Based Point Set Registration. CVPR 2016: 1818-1826
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Martin Danelljan, Andreas Robinson, Fahad Shahbaz Khan, Michael Felsberg:
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking. ECCV (5) 2016: 472-488
[c23]
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Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi:
The Visual Object Tracking VOT2016 Challenge Results. ECCV Workshops (2) 2016: 777-823
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Michael Felsberg, Matej Kristan, Jiri Matas, Ales Leonardis, Roman P. Pflugfelder, Gustav Häger, Amanda Berg, Abdelrahman Eldesokey, Jörgen Ahlberg, Luka Cehovin, Tomás Vojír, Alan Lukezic, Gustavo Fernández, Alfredo Petrosino, Álvaro García-Martín, Andrés Solís Montero, Anton Varfolomieiev, Aykut Erdem, Bohyung Han, Chang-Ming Chang, Dawei Du, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Guna Seetharaman, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Hyeonseob Nam, Jack Valmadre, Jianke Zhu, Jiayi Feng, Jochen Lang, José M. Martínez, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Michael Arens, Ming Tang, Mooyeol Baek, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Philip H. S. Torr, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Sebastian Bernd Krah, Shengkun Li, Shizeng Yao, Simon Hadfield, Siwei Lyu, Stefan Becker, Stuart Golodetz, Tao Hu, Thomas Mauthner, Vincenzo Santopietro, Wenbo Li, Wolfgang Hübner, Xin Li, Yang Li, Zhan Xu, Zhenyu He:
The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results. ECCV Workshops (2) 2016: 824-849
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Martin Danelljan, Giulia Meneghetti, Fahad Shahbaz Khan, Michael Felsberg:
Aligning the dissimilar: A probabilistic method for feature-based point set registration. ICPR 2016: 247-252
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Susanna Gladh, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Deep motion features for visual tracking. ICPR 2016: 1243-1248
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Gustav Häger, Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Piotr Rudol, Patrick Doherty:
Combining Visual Tracking and Person Detection for Long Term Tracking on a UAV. ISVC (1) 2016: 557-568
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Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Jorma Laaksonen:
Combining Holistic and Part-based Deep Representations for Computational Painting Categorization. ICMR 2016: 339-342
[i7]
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Martin Danelljan, Andreas Robinson, Fahad Shahbaz Khan, Michael Felsberg:
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking. CoRR abs/1608.03773 (2016)
[i6]
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Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Learning Spatially Regularized Correlation Filters for Visual Tracking. CoRR abs/1608.05571 (2016)
[i5]
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Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking. CoRR abs/1609.06118 (2016)
[i4]
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Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Discriminative Scale Space Tracking. CoRR abs/1609.06141 (2016)
[i3]
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Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
ECO: Efficient Convolution Operators for Tracking. CoRR abs/1611.09224 (2016)
[i2]
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Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Andrew D. Bagdanov, Michael Felsberg, Jorma Laaksonen:
Scale Coding Bag of Deep Features for Human Attribute and Action Recognition. CoRR abs/1612.04884 (2016)
[i1]
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Susanna Gladh, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Deep Motion Features for Visual Tracking. CoRR abs/1612.06615 (2016)
2015
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Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Michael Felsberg, Jorma Laaksonen:
Compact color-texture description for texture classification. Pattern Recognit. Lett. 51: 16-22 (2015)
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Fahad Shahbaz Khan, Jiaolong Xu, Joost van de Weijer, Andrew D. Bagdanov, Rao Muhammad Anwer, Antonio M. López:
Recognizing Actions Through Action-Specific Person Detection. IEEE Trans. Image Process. 24(11): 4422-4432 (2015)
[c17]
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Joost van de Weijer, Fahad Shahbaz Khan:
An Overview of Color Name Applications in Computer Vision. CCIW 2015: 16-22
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Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Learning Spatially Regularized Correlation Filters for Visual Tracking. ICCV 2015: 4310-4318
[c15]
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Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Convolutional Features for Correlation Filter Based Visual Tracking. ICCV Workshops 2015: 621-629
[c14]
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Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Coloring Channel Representations for Visual Tracking. SCIA 2015: 117-129
[c13]
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Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Michael Felsberg, Jorma Laaksonen:
Deep Semantic Pyramids for Human Attributes and Action Recognition. SCIA 2015: 341-353
2014
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Fahad Shahbaz Khan, Shida Beigpour, Joost van de Weijer, Michael Felsberg:
Painting-91: a large scale database for computational painting categorization. Mach. Vis. Appl. 25(6): 1385-1397 (2014)
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Fahad Shahbaz Khan, Joost van de Weijer, Rao Muhammad Anwer, Michael Felsberg, Carlo Gatta:
Semantic Pyramids for Gender and Action Recognition. IEEE Trans. Image Process. 23(8): 3633-3645 (2014)
[c12]
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Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Accurate Scale Estimation for Robust Visual Tracking. BMVC 2014
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Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Joost van de Weijer:
Adaptive Color Attributes for Real-Time Visual Tracking. CVPR 2014: 1090-1097
[c10]
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Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu:
The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) 2014: 191-217
[c9]
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Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Karl Granström, Fredrik Heintz, Piotr Rudol, Mariusz Wzorek, Jonas Kvarnström, Patrick Doherty:
A Low-Level Active Vision Framework for Collaborative Unmanned Aircraft Systems. ECCV Workshops (1) 2014: 223-237
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Fahad Shahbaz Khan, Joost van de Weijer, Andrew D. Bagdanov, Michael Felsberg:
Scale Coding Bag-of-Words for Action Recognition. ICPR 2014: 1514-1519
2013
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Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Andrew D. Bagdanov, Antonio M. López, Michael Felsberg:
Coloring Action Recognition in Still Images. Int. J. Comput. Vis. 105(3): 205-221 (2013)
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Fahad Shahbaz Khan, Joost van de Weijer, Sadiq Ali, Michael Felsberg:
Evaluating the Impact of Color on Texture Recognition. CAIP (1) 2013: 154-162
[c6]
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Joost van de Weijer, Fahad Shahbaz Khan:
Fusing Color and Shape for Bag-of-Words Based Object Recognition. CCIW 2013: 25-34
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Rahat Khan, Joost van de Weijer, Fahad Shahbaz Khan, Damien Muselet, Christophe Ducottet, Cécile Barat:
Discriminative Color Descriptors. CVPR 2013: 2866-2873
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Joost van de Weijer, Fahad Shahbaz Khan, Marc Masana:
Interactive Visual and Semantic Image Retrieval. Multimodal Interaction in Image and Video Applications 2013: 31-45
2012
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Fahad Shahbaz Khan, Joost van de Weijer, María Vanrell:
Modulating Shape Features by Color Attention for Object Recognition. Int. J. Comput. Vis. 98(1): 49-64 (2012)
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Noha M. Elfiky, Fahad Shahbaz Khan, Joost van de Weijer, Jordi Gonzàlez:
Discriminative compact pyramids for object and scene recognition. Pattern Recognit. 45(4): 1627-1636 (2012)
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Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Andrew D. Bagdanov, María Vanrell, Antonio M. López:
Color attributes for object detection. CVPR 2012: 3306-3313
2011
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Fahad Shahbaz Khan, Joost van de Weijer, Andrew D. Bagdanov, María Vanrell:
Portmanteau Vocabularies for Multi-Cue Image Representation. NIPS 2011: 1323-1331
2010
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David Augusto Rojas Vigo, Fahad Shahbaz Khan, Joost van de Weijer, Theo Gevers:
The Impact of Color on Bag-of-Words Based Object Recognition. ICPR 2010: 1549-1553

2000 – 2009

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2009
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Fahad Shahbaz Khan, Joost van de Weijer, María Vanrell:
Top-down color attention for object recognition. ICCV 2009: 979-986

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