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ORCIDWACV 2022: Waikoloa, HI, USA
- IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Waikoloa, HI, USA, January 3-8, 2022. IEEE 2022, ISBN 978-1-6654-0915-5
- Dina Bashkirova, Ben Usman, Kate Saenko
:
Evaluation of Correctness in Unsupervised Many-to-Many Image Translation. 1-10 - Pengsheng Guo, Miguel Ángel Bautista, Alex Colburn, Liang Yang, Daniel Ulbricht, Joshua M. Susskind, Qi Shan:
Fast and Explicit Neural View Synthesis. 11-20 - Aamir Mustafa, Aliaksei Mikhailiuk, Dan-Andrei Iliescu, Varun Babbar, Rafal K. Mantiuk:
Training a Task-Specific Image Reconstruction Loss. 21-30 - Karin Jakoel, Liron Efraim, Tamar Rott Shaham:
GANs Spatial Control via Inference-Time Adaptive Normalization. 31-40 - Yuhao Liu, Felipe Gutierrez-Barragan, Atul Ingle, Mohit Gupta, Andreas Velten:
Single-Photon Camera Guided Extreme Dynamic Range Imaging. 41-51 - Abdelrahman Abdelhamed, Jonghwa Yim, Abhijith Punnappurath, Michael S. Brown, Jihwan Choe, Kihwan Kim:
Extracting Vignetting and Grain Filter Effects from Photos. 52-60 - Haesoo Chung, Nam Ik Cho:
High Dynamic Range Imaging of Dynamic Scenes with Saturation Compensation but without Explicit Motion Compensation. 61-71 - Hankui Peng, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation. 72-81 - Abdullah Abuolaim, Mahmoud Afifi, Michael S. Brown:
Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning. 82-90 - Shady Abu-Hussein, Tom Tirer, Se Young Chun, Yonina C. Eldar, Raja Giryes:
Image Restoration by Deep Projected GSURE. 91-100 - Ziqiao Guan, Esther H. R. Tsai, Xiaojing Huang, Kevin G. Yager, Hong Qin:
Non-Blind Deblurring for Fluorescence: A Deformable Latent Space Approach with Kernel Parameterization. 101-109 - Vaibhav Vavilala, David A. Forsyth:
Controlled GAN-Based Creature Synthesis via a Challenging Game Art Dataset - Addressing the Noise-Latent Trade-Off. 110-119 - Reza Ghoddoosian, Saif Iftekar Sayed, Vassilis Athitsos:
Hierarchical Modeling for Task Recognition and Action Segmentation in Weakly-Labeled Instructional Videos. 120-130 - Md Taufeeq Uddin, Shaun J. Canavan:
Quantified Facial Expressiveness for Affective Behavior Analytics. 131-140 - Anshul Shah, Shlok Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava:
Pose and Joint-Aware Action Recognition. 141-151 - Maheen Rashid, Sofia Broomé, Katrina Ask, Elin Hernlund, Pia Haubro Andersen, Hedvig Kjellström, Yong Jae Lee:
Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation. 152-162 - Mirco Planamente, Chiara Plizzari, Emanuele Alberti, Barbara Caputo:
Domain Generalization through Audio-Visual Relative Norm Alignment in First Person Action Recognition. 163-174 - Zhe Wang, Hao Chen, Xinyu Li, Chunhui Liu, Yuanjun Xiong, Joseph Tighe, Charless C. Fowlkes:
SSCAP: Self-supervised Co-occurrence Action Parsing for Unsupervised Temporal Action Segmentation. 175-184 - Mohamed Elfeki, Liqiang Wang, Ali Borji:
Multi-stream dynamic video Summarization. 185-195 - Dominik Bauer, Timothy Patten, Markus Vincze:
SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement. 196-204 - Hunter Blanton, Scott Workman, Nathan Jacobs:
A Structure-Aware Method for Direct Pose Estimation. 205-214 - Pei-Ze Chiang, Meng-Shiun Tsai, Hung-Yu Tseng, Wei-Sheng Lai, Wei-Chen Chiu:
Stylizing 3D Scene via Implicit Representation and HyperNetwork. 215-224 - Xidong Peng, Xinge Zhu, Tai Wang, Yuexin Ma:
SIDE: Center-based Stereo 3D Detector with Structure-aware Instance Depth Estimation. 225-234 - Cheng Yang, Jia Zheng, Xili Dai, Rui Tang, Yi Ma, Xiaojun Yuan:
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image. 235-244 - Ryo Furukawa, Michihiro Mikamo, Ryusuke Sagawa, Hiroshi Kawasaki:
Single-shot dense active stereo with pixel-wise phase estimation based on grid-structure using CNN and correspondence estimation using GCN. 245-255 - Yecheng Lyu, Xinming Huang, Ziming Zhang:
EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation. 256-266 - Chuangguan Ye, Hongyuan Zhu, Yongbin Liao, Yanggang Zhang, Tao Chen, Jiayuan Fan:
What Makes for Effective Few-shot Point Cloud Classification? 267-276 - Shivam Duggal, Zihao Wang, Wei-Chiu Ma, Sivabalan Manivasagam, Justin Liang, Shenlong Wang, Raquel Urtasun:
Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild. 277-286 - Otto Seiskari, Pekka Rantalankila, Juho Kannala, Jerry Ylilammi, Esa Rahtu, Arno Solin:
HybVIO: Pushing the Limits of Real-time Visual-inertial Odometry. 287-296 - Hitika Tiwari, Vinod K. Kurmi, K. S. Venkatesh, Yong-Sheng Chen:
Occlusion Resistant Network for 3D Face Reconstruction. 297-306 - Kai Fischer, Martin Simon, Stefan Milz, Patrick Mäder:
StickyLocalization: Robust End-To-End Relocalization on Point Clouds using Graph Neural Networks. 307-316 - Kazuma Minami, Hiroaki Santo, Fumio Okura, Yasuyuki Matsushita:
Symmetric-light Photometric Stereo. 317-325 - Lam Huynh, Phong Nguyen, Jirí Matas, Esa Rahtu, Janne Heikkilä:
Lightweight Monocular Depth with a Novel Neural Architecture Search Method. 326-336 - Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi:
Knowledge Capture and Replay for Continual Learning. 337-345 - Christian Simon, Piotr Koniusz, Mehrtash Harandi:
Meta-Learning for Multi-Label Few-Shot Classification. 346-355 - Waqar Ahmed, Pietro Morerio, Vittorio Murino:
Cleaning Noisy Labels by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation. 356-365 - Yu Yang, Hakan Bilen, Qiran Zou, Wing Yin Cheung, Xiangyang Ji:
Learning Foreground-Background Segmentation from Improved Layered GANs. 366-375 - Vaishnavi Khindkar, Chetan Arora, Vineeth N. Balasubramanian, Anbumani Subramanian, Rohit Saluja, C. V. Jawahar:
To miss-attend is to misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors. 376-386 - Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, Or Litany:
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels. 387-397 - Chaoliang Zhong, Jie Wang, Cheng Feng, Ying Zhang, Jun Sun, Yasuto Yokota:
PICA: Point-wise Instance and Centroid Alignment Based Few-shot Domain Adaptive Object Detection with Loose Annotations. 398-407 - Peng Yang, Shaogang Ren, Yang Zhao, Ping Li:
Calibrating CNNs for Few-Shot Meta Learning. 408-417 - Shyam Nandan Rai, Rohit Saluja, Chetan Arora, Vineeth N. Balasubramanian, Anbumani Subramanian, C. V. Jawahar:
FLUID: Few-Shot Self-Supervised Image Deraining. 418-427 - Mustafa Sercan Amac, Ahmet Sencan, Orhun Bugra Baran, Nazli Ikizler-Cinbis, Ramazan Gokberk Cinbis:
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation. 428-438 - Chull Hwan Song, Hye Joo Han, Yannis Avrithis:
All the attention you need: Global-local, spatial-channel attention for image retrieval. 439-448 - Zhibo Yang, Muhammet Bastan, Xinliang Zhu, Douglas Gray, Dimitris Samaras:
Hierarchical Proxy-based Loss for Deep Metric Learning. 449-458 - Weijun Tan, Hongwei Guo, Rushuai Liu:
A Fast Partial Video Copy Detection Using KNN and Global Feature Database. 459-467 - Sarah Ibrahimi, Arnaud Sors, Rafael Sampaio de Rezende, Stéphane Clinchant:
Learning with Label Noise for Image Retrieval by Selecting Interactions. 468-477 - Ameen Ali, Idan Schwartz, Tamir Hazan, Lior Wolf:
Video and Text Matching with Conditioned Embeddings. 478-487 - Yang Cheng, Qian Lin, Jan P. Allebach:
Re-Compose the Image by Evaluating the Crop on More Than Just a Score. 488-496 - Utkarsh Mall, Kavita Bala, Tamara Berg, Kristen Grauman:
Discovering Underground Maps from Fashion. 497-506 - Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alexei A. Efros, Trevor Darrell:
Strumming to the Beat: Audio-Conditioned Contrastive Video Textures. 507-516 - Marco Godi, Christian Joppi, Geri Skenderi, Marco Cristani:
MovingFashion: a Benchmark for the Video-to-Shop Challenge. 517-525 - Pritish Sahu, Karan Sikka, Ajay Divakaran:
Challenges in Procedural Multimodal Machine Comprehension: A Novel Way To Benchmark. 526-535 - Yi-Wen Chen, Xiaojie Jin, Xiaohui Shen, Ming-Hsuan Yang:
Video Salient Object Detection via Contrastive Features and Attention Modules. 536-545 - Shraman Pramanick, Aniket Roy, Vishal M. Patel:
Multimodal Learning using Optimal Transport for Sarcasm and Humor Detection. 546-556 - Michal Kucer, Diane Oyen, Juan Castorena, Jian Wu:
DeepPatent: Large scale patent drawing recognition and retrieval. 557-566 - Ben Maman, Amit Bermano:
TypeNet: Towards Camera Enabled Touch Typing on Flat Surfaces through Self-Refinement. 567-576 - Arda Senocak, Hyeonggon Ryu, Junsik Kim, In So Kweon:
Less Can Be More: Sound Source Localization With a Classification Model. 577-586 - Chenge Li, István Fehérvári, Xiaonan Zhao, Ives Macêdo, Srikar Appalaraju:
SeeTek: Very Large-Scale Open-set Logo Recognition with Text-Aware Metric Learning. 587-596 - Surgan Jandial, Pinkesh Badjatiya, Pranit Chawla, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy:
SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval. 597-606 - Ahmed Abdelreheem, Ujjwal Upadhyay, Ivan Skorokhodov, Rawan Al Yahya, Jun Chen, Mohamed Elhoseiny:
3DRefTransformer: Fine-Grained Object Identification in Real-World Scenes Using Natural Language. 607-616 - Taher Naderi, Amir Sadovnik, Jason P. Hayward, Hairong Qi:
Monocular Depth Estimation with Adaptive Geometric Attention. 617-627 - Kaustubh Sadekar, Ashish Tiwari, Shanmuganathan Raman:
Shadow Art Revisited: A Differentiable Rendering Based Approach. 628-636 - Ziwen Li, Bo Xu, Han Huang, Cheng Lu, Yandong Guo:
Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation. 637-646 - Abhinav Narayan Harish, Rajendra Nagar, Shanmuganathan Raman:
RGL-NET: A Recurrent Graph Learning framework for Progressive Part Assembly. 647-656 - Yimin Wei, Hao Liu, Tingting Xie, Qiuhong Ke, Yulan Guo:
Spatial-Temporal Transformer for 3D Point Cloud Sequences. 657-666 - Divam Gupta, Wei Pu, Trenton Tabor, Jeff Schneider:
SBEVNet: End-to-End Deep Stereo Layout Estimation. 667-676 - Faranak Shamsafar, Samuel Woerz, Rafia Rahim, Andreas Zell:
MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching. 677-686 - Aloisio Dourado, Frederico Guth, Teofilo de Campos:
Data Augmented 3D Semantic Scene Completion with 2D Segmentation Priors. 687-696 - Yawen Lu, Guoyu Lu:
3D Modeling Beneath Ground: Plant Root Detection and Reconstruction Based on Ground-Penetrating Radar. 697-706 - Alvaro Gómez, Gregory Randall, Gabriele Facciolo, Rafael Grompone von Gioi:
An experimental comparison of multi-view stereo approaches on satellite images. 707-716 - Thiago L. Gomes, Thiago M. Coutinho, Rafael Azevedo, Renato Martins, Erickson R. Nascimento:
Creating and Reenacting Controllable 3D Humans with Differentiable Rendering. 717-726 - Camilo Pestana, Naveed Akhtar, Nazanin Rahnavard, Mubarak Shah, Ajmal Mian:
Transferable 3D Adversarial Textures using End-to-end Optimization. 727-736 - Hirokatsu Kataoka, Kensho Hara, Ryusuke Hayashi, Eisuke Yamagata, Nakamasa Inoue:
Spatiotemporal Initialization for 3D CNNs with Generated Motion Patterns. 737-746 - Shubh Maheshwari, Debtanu Gupta, Ravi Kiran Sarvadevabhatla:
MUGL: Large Scale Multi Person Conditional Action Generation with Locomotion. 747-755 - Guoxi Huang, Adrian G. Bors:
Busy-Quiet Video Disentangling for Video Classification. 756-765 - He-Yen Hsieh, Ding-Jie Chen, Tyng-Luh Liu:
Contextual Proposal Network for Action Localization. 766-775 - Peipeng Chen, Yuan Gao, Andy J. Ma:
Multi-level Attentive Adversarial Learning with Temporal Dilation for Unsupervised Video Domain Adaptation. 776-785 - Jiawei Chen, Chiu Man Ho:
MM-ViT: Multi-Modal Video Transformer for Compressed Video Action Recognition. 786-797 - Yinxiao Li, Zhichao Lu, Xuehan Xiong, Jonathan Huang:
PERF-Net: Pose Empowered RGB-Flow Net. 798-807 - Debaditya Roy, Basura Fernando:
Action anticipation using latent goal learning. 808-816 - Jun-Tae Lee, Sungrack Yun, Mihir Jain:
Leaky Gated Cross-Attention for Weakly Supervised Multi-Modal Temporal Action Localization. 817-826 - Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Hao Chen, Joseph Tighe:
NUTA: Non-uniform Temporal Aggregation for Action Recognition. 827-836 - Raphael Memmesheimer, Simon Häring, Nick Theisen, Dietrich Paulus:
Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition. 837-845 - Martine Toering, Ioannis Gatopoulos, Maarten Stol, Vincent Tao Hu:
Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting. 846-856 - Jonathan Freer, Kwang Moo Yi, Wei Jiang, Jongwon Choi, Hyung Jin Chang:
Novel-View Synthesis of Human Tourist Photos. 857-864 - Zhenmei Shi, Fuhao Shi, Wei-Sheng Lai, Chia-Kai Liang, Yingyu Liang:
Deep Online Fused Video Stabilization. 865-873 - Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution. 874-883 - Soo Hyun Jung, Tae Bok Lee, Yong Seok Heo:
Deep Feature Prior Guided Face Deblurring. 884-893 - Man M. Ho, Jinjia Zhou:
Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo Scanning. 894-903 - Bomi Kim, Sunhyeok Lee, Nahyun Kim, Donggon Jang, Dae-Shik Kim:
Learning Color Representations for Low-Light Image Enhancement. 904-912 - Cheeun Hong, Heewon Kim, Sungyong Baik, Junghun Oh, Kyoung Mu Lee:
DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks. 913-922 - Yoshitomo Matsubara, Ruihan Yang, Marco Levorato, Stephan Mandt:
Supervised Compression for Resource-Constrained Edge Computing Systems. 923-933 - Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown:
Auto White-Balance Correction for Mixed-Illuminant Scenes. 934-943 - Xiaoyu Xiang, Ding Liu, Xiao Yang, Yiheng Zhu, Xiaohui Shen, Jan P. Allebach:
Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis. 944-954 - Ligong Han, Sri Harsha Musunuri, Martin Renqiang Min, Ruijiang Gao, Yu Tian, Dimitris N. Metaxas:
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders. 955-964 - Dohyun Kim, Dajung Je, Kwangjin Lee, Moohyun Kim, Han Kim:
Late-resizing: A Simple but Effective Sketch Extraction Strategy for Improving Generalization of Line-art Colorization. 965-974 - Zehua Zhang, David Crandall:
Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning. 975-985 - Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi:
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation. 986-996 - Hiroyasu Akada, Shariq Farooq Bhat, Ibraheem Alhashim, Peter Wonka:
Self-Supervised Learning of Domain Invariant Features for Depth Estimation. 997-1007 - Luca Robbiano, Muhammad Rameez Ur Rahman, Fabio Galasso, Barbara Caputo, Fabio Maria Carlucci:
Adversarial Branch Architecture Search for Unsupervised Domain Adaptation. 1008-1018 - Quentin Bammey, Rafael Grompone von Gioi, Jean-Michel Morel:
Forgery Detection by Internal Positional Learning of Demosaicing Traces. 1019-1029 - Silvia Bucci, Francesco Cappio Borlino, Barbara Caputo, Tatiana Tommasi:
Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation. 1030-1039 - Amirreza Shaban, Amir Rahimi, Thalaiyasingam Ajanthan, Byron Boots, Richard Hartley:
Few-shot Weakly-Supervised Object Detection via Directional Statistics. 1040-1049 - Colorado J. Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell:
Self-Supervised Pretraining Improves Self-Supervised Pretraining. 1050-1060 - Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulos, Sidi Lu, Weisong Shi, Xiang Chen:
SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection. 1061-1070 - Ohad Amosy, Gal Chechik:
Coupled Training for Multi-Source Domain Adaptation. 1071-1080 - Chun-Han Yao, Boqing Gong, Hang Qi, Yin Cui, Yukun Zhu, Ming-Hsuan Yang:
Federated Multi-Target Domain Adaptation. 1081-1090 - Tianhong Li, Lijie Fan, Yuan Yuan, Dina Katabi:
Unsupervised Learning for Human Sensing Using Radio Signals. 1091-1100 - Hojun Lee, Myunggi Lee, Nojun Kwak:
Few-Shot Object Detection by Attending to Per-Sample-Prototype. 1101-1110 - Deblina Bhattacharjee, Martin Everaert, Mathieu Salzmann, Sabine Süsstrunk:
Estimating Image Depth in the Comics Domain. 1111-1120 - Biying Fu, Cong Chen, Olaf Henniger, Naser Damer:
A Deep Insight into Measuring Face Image Utility with General and Face-specific Image Quality Metrics. 1121-1130 - Meiling Fang, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection. 1131-1140 - Veeru Talreja, Nasser M. Nasrabadi, Matthew C. Valenti:
Attribute-Based Deep Periocular Recognition: Leveraging Soft Biometrics to Improve Periocular Recognition. 1141-1150 - Adrian Popescu, Liviu-Daniel Stefan, Jérôme Deshayes-Chossart, Bogdan Ionescu:
Face Verification with Challenging Imposters and Diversified Demographics. 1151-1160 - Shreya Ghosh, Munawar Hayat, Abhinav Dhall, Jarrod Knibbe:
MTGLS: Multi-Task Gaze Estimation with Limited Supervision. 1161-1172 - Yeong-Joon Ju, Gun-Hee Lee, Jung-Ho Hong, Seong-Whan Lee:
Complete Face Recovery GAN: Unsupervised Joint Face Rotation and De-Occlusion from a Single-View Image. 1173-1183 - Alejandro Pérez-Yus, Antonio Agudo:
Matching and Recovering 3D People from Multiple Views. 1184-1193 - Domingo Mery, Bernardita Morris:
On Black-Box Explanation for Face Verification. 1194-1203 - Naina Dhingra:
LwPosr: Lightweight Efficient Fine Grained Head Pose Estimation. 1204-1214 - Rohit Bharadwaj, Gaurav Jaswal, Aditya Nigam, Kamlesh Tiwari:
Mobile based Human Identification using Forehead Creases: Application and Assessment under COVID-19 Masked Face Scenarios. 1215-1223 - Rahul Dey, Vishnu Naresh Boddeti:
3DFaceFill: An Analysis-By-Synthesis Approach to Face Completion. 1224-1233 - Yu-Chun Wang, Chien-Yi Wang, Shang-Hong Lai:
Disentangled Representation with Dual-stage Feature Learning for Face Anti-spoofing. 1234-1243 - Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler:
Joint Classification and Trajectory Regression of Online Handwriting using a Multi-Task Learning Approach. 1244-1254 - Aidan Boyd, Kevin W. Bowyer, Adam Czajka:
Human-Aided Saliency Maps Improve Generalization of Deep Learning. 1255-1264 - Danila Rukhovich, Anna Vorontsova, Anton Konushin:
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection. 1265-1274 - Lukas Stäcker, Philipp Heidenreich, Jason R. Rambach, Didier Stricker:
Fusion Point Pruning for Optimized 2D Object Detection with Radar-Camera Fusion. 1275-1282 - Ashwin D'Cruz, Christopher Tegho, Sean Greaves, Lachlan Kermode:
Detecting Tear Gas Canisters With Limited Training Data. 1283-1291 - Jiangpeng He, Fengqing Zhu:
Online Continual Learning Via Candidates Voting. 1292-1301 - Renuka Sharma, Satvik Mashkaria, Suyash P. Awate:
A Semi-supervised Generalized VAE Framework for Abnormality Detection using One-Class Classification. 1302-1310 - Prakhar Ganesh, Yao Chen, Yin Yang, Deming Chen, Marianne Winslett:
YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs. 1311-1321 - Chuong H. Nguyen, Thuy C. Nguyen, Tuan N. Tang, Nam L. H. Phan:
Improving Object Detection by Label Assignment Distillation. 1322-1331 - Changsheng Xu, Yang Wang, Fan Bai, Jihong Guan, Shuigeng Zhou:
Robustly Recognizing Irregular Scene Text by Rectifying Principle Irregularities. 1332-1339 - Mohammad K. Ebrahimpour, Gang Qian, Allison Beach:
Multi-Head Deep Metric Learning Using Global and Local Representations. 1340-1349 - Takumi Kobayashi:
Extractive Knowledge Distillation. 1350-1359 - Yi Ke Yun, Takahiro Tsubono:
Recursive Contour-Saliency Blending Network for Accurate Salient Object Detection. 1360-1370 - Shaojie Wang, Tong Wu, Ayan Chakrabarti, Yevgeniy Vorobeychik:
Adversarial Robustness of Deep Sensor Fusion Models. 1371-1380 - Mustafa Ozan Tezcan, Zhihao Duan, Mertcan Cokbas, Prakash Ishwar, Janusz Konrad:
WEPDTOF: A Dataset and Benchmark Algorithms for In-the-Wild People Detection and Tracking from Overhead Fisheye Cameras. 1381-1390 - Yifang Yin, Wenmiao Hu, An Tran, Hannes Kruppa, Roger Zimmermann, See-Kiong Ng:
A Context-enriched Satellite Imagery Dataset and an Approach for Parking Lot Detection. 1391-1400 - Sungmin Cho, Jinwook Paeng, Junseok Kwon:
Densely-packed Object Detection via Hard Negative-Aware Anchor Attention. 1401-1410 - Sahib Majithia, Sandeep N. Parameswaran, Sadbhavana Babar, Vikram Garg, Astitva Srivastava, Avinash Sharma:
Robust 3D Garment Digitization from Monocular 2D Images for 3D Virtual Try-On Systems. 1411-1421 - Duc Minh Vo, Akihiro Sugimoto, Hideki Nakayama:
PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression. 1422-1430 - Josh Beal, Hao-Yu Wu, Dong Huk Park, Andrew Zhai, Dmitry Kislyuk:
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations. 1431-1440 - Joakim Bruslund Haurum, Meysam Madadi, Sergio Escalera, Thomas B. Moeslund:
Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder. 1441-1452 - Suhwan Cho, Heansung Lee, Minjung Kim, Sungjun Jang, Sangyoun Lee:
Pixel-Level Bijective Matching for Video Object Segmentation. 1453-1462 - Jonas Theiner, Wolfgang Gritz, Eric Müller-Budack, Robert Rein, Daniel Memmert, Ralph Ewerth:
Extraction of Positional Player Data from Broadcast Soccer Videos. 1463-1473 - Jonas Theiner, Eric Müller-Budack, Ralph Ewerth:
Interpretable Semantic Photo Geolocation. 1474-1484 - Shasvat Mukeshkumar Desai, Debasmita Ghose:
Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite Images. 1485-1495 - Songtao He, Hari Balakrishnan:
Lane-Level Street Map Extraction from Aerial Imagery. 1496-1505 - Stanislaw Szymanowicz, James Charles, Roberto Cipolla:
Discrete neural representations for explainable anomaly detection. 1506-1514 - Abeba Birhane, Vinay Uday Prabhu, John Whaley:
Auditing saliency cropping algorithms. 1515-1523 - Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed:
Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations. 1524-1533 - Samuel Black, Abby Stylianou, Robert Pless, Richard Souvenir:
Visualizing Paired Image Similarity in Transformer Networks. 1534-1543 - Brian Hu, Bhavan Vasu, Anthony Hoogs:
X-MIR: EXplainable Medical Image Retrieval. 1544-1554 - Xuan Gong, Luckyson Khaidem, Wentao Zhu, Baochang Zhang, David S. Doermann:
Uncertainty Learning towards Unsupervised Deformable Medical Image Registration. 1555-1564 - Thomas Fel, David Vigouroux, Rémi Cadène, Thomas Serre:
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks. 1565-1575 - Thomas Hartley, Kirill A. Sidorov, Christopher Willis, A. David Marshall:
SWAG-V: Explanations for Video using Superpixels Weighted by Average Gradients. 1576-1585 - Fengyuan Yang, Ruiping Wang, Xilin Chen:
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning. 1586-1596 - Peyman Bateni, Jarred Barber, Jan-Willem van de Meent, Frank Wood:
Enhancing Few-Shot Image Classification with Unlabelled Examples. 1597-1606 - Yuan-Hao Lee, Fu-En Yang, Yu-Chiang Frank Wang:
A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation. 1607-1617 - Puneet Mangla, Shivam Chandhok, Vineeth N. Balasubramanian, Fahad Shahbaz Khan:
COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. 1618-1627 - Arkabandhu Chowdhury, Dipak Chaudhari, Swarat Chaudhuri, Chris Jermaine:
Meta-Meta Classification for One-Shot Learning. 1628-1637 - Shuhong Chen, Matthias Zwicker:
Transfer Learning for Pose Estimation of Illustrated Characters. 1638-1647 - Hui Nie, Ruiping Wang, Xilin Chen:
From Node to Graph: Joint Reasoning on Visual-Semantic Relational Graph for Zero-Shot Detection. 1648-1657 - Yuanyuan Xu, Meina Kan, Shiguang Shan, Xilin Chen:
Mutual Learning of Joint and Separate Domain Alignments for Multi-Source Domain Adaptation. 1658-1667 - Lirong Wu, Zicheng Liu, Jun Xia, Zelin Zang, Siyuan Li, Stan Z. Li:
Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation. 1668-1676 - Jorge Sánchez, Matías Molina:
Trading-off Information Modalities in Zero-shot Classification. 1677-1685 - Jeongbeen Yoon, Dahyun Kang, Minsu Cho:
Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation. 1686-1695 - Maryam Alizadeh, Melissa Cote, Alexandra Branzan Albu:
Towards Durability Estimation of Bioprosthetic Heart Valves Via Motion Symmetry Analysis. 1696-1705 - Anran Liu, Xiangsheng Huang, Tong Li, Pengcheng Ma:
Co-Net: A Collaborative Region-Contour-Driven Network for Fine-to-Finer Medical Image Segmentation. 1706-1715 - Liyuan Pan, Liu Liu, Anthony G. Condon, Gonzalo M. Estavillo, Robert A. Coe, Geoff Bull, Eric A. Stone, Lars Petersson, Vivien Rolland:
Biomass Prediction with 3D Point Clouds from LiDAR. 1716-1726 - Markus Philipp, Anna Alperovich, Marielena Gutt-Will, Andrea Mathis, Stefan Saur, Andreas Raabe, Franziska Mathis-Ullrich:
Dynamic CNNs using uncertainty to overcome domain generalization for surgical instrument localization. 1727-1736 - Devavrat Tomar, Behzad Bozorgtabar, Manana Lortkipanidze, Guillaume Vray, Mohammad Saeed Rad, Jean-Philippe Thiran:
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation. 1737-1747 - Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett A. Landman, Holger R. Roth, Daguang Xu:
UNETR: Transformers for 3D Medical Image Segmentation. 1748-1758 - Junya Hayashida, Kazuya Nishimura, Ryoma Bise:
Consistent Cell Tracking in Multi-frames with Spatio-Temporal Context by Object-Level Warping Loss. 1759-1768 - Jinyong Hou, Xuejie Ding, Jeremiah D. Deng:
Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbations. 1769-1778 - Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Pyari Mohan Pradhan:
Compressed Sensing MRI Reconstruction with Co-VeGAN: Complex-Valued Generative Adversarial Network. 1779-1788 - Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang:
Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop. 1789-1798 - Tariq Mahmood Khan, Antonio Robles-Kelly, Syed Saud Naqvi:
T-Net: A Resource-Constrained Tiny Convolutional Neural Network for Medical Image Segmentation. 1799-1808 - Ann-Christin Bette, Patrick Brus, Gábor Balázs, Matthias Ludwig, Alois C. Knoll:
Automated Defect Inspection in Reverse Engineering of Integrated Circuits. 1809-1818 - Denis A. Gudovskiy, Shun Ishizaka, Kazuki Kozuka:
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows. 1819-1828 - Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt:
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection. 1829-1838 - Molly O'Brien, Mike Medoff, Julia V. Bukowski, Greg Hager:
Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains. 1839-1847 - Arthur Moreau, Nathan Piasco, Dzmitry Tsishkou, Bogdan Stanciulescu, Arnaud de La Fortelle:
CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization. 1848-1857 - Alex Krasner, Mikhail Sizintsev, Abhinav Rajvanshi, Han-Pang Chiu, Niluthpol Chowdhury Mithun, Kevin Kaighn, Phillip Miller, Ryan Villamil, Supun Samarasekera:
SIGNAV: Semantically-Informed GPS-Denied Navigation and Mapping in Visually-Degraded Environments. 1858-1867 - Eun Sun Lee, Junho Kim, Young Min Kim:
Self-Supervised Domain Adaptation for Visual Navigation with Global Map Consistency. 1868-1877 - Iljoo Baek, Wei Chen, Zhihao Zhu, Soheil Samii, Ragunathan Raj Rajkumar:
FT-DeepNets: Fault-Tolerant Convolutional Neural Networks with Kernel-based Duplication. 1878-1887 - Lojze Zust, Matej Kristan:
Learning Maritime Obstacle Detection from Weak Annotations by Scaffolding. 1888-1897 - Daitao Xing, Nikolaos Evangeliou, Athanasios Tsoukalas, Anthony Tzes:
Siamese Transformer Pyramid Networks for Real-Time UAV Tracking. 1898-1907 - Chaewon Park, MyeongAh Cho, Minhyeok Lee, Sangyoun Lee:
FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation. 1908-1918 - Aharon Azulay, Tavi Halperin, Orestis Vantzos, Nadav Bornstein, Ofir Bibi:
Temporally stable video segmentation without video annotations. 1919-1928 - Christian Schmidt, Ali Athar, Sabarinath Mahadevan, Bastian Leibe:
D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos. 1929-1938 - Sukjun Hwang, Seoung Wug Oh, Seon Joo Kim:
Single-shot Path Integrated Panoptic Segmentation. 1939-1948 - Minhyeok Lee, Junhyeop Lee, Dogyoon Lee, Woo Jin Kim, Sangwon Hwang, Sangyoun Lee:
Robust Lane Detection via Expanded Self Attention. 1949-1958 - Antonio Tavera, Fabio Cermelli, Carlo Masone, Barbara Caputo:
Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation. 1959-1968 - Gong Cheng, James H. Elder:
VCSeg: Virtual Camera Adaptation for Road Segmentation. 1969-1978 - Inseop Chung, Daesik Kim, Nojun Kwak:
Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation. 1979-1988 - Tianyu Ma, Adrian V. Dalca, Mert R. Sabuncu:
Hyper-Convolution Networks for Biomedical Image Segmentation. 1989-1998 - Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation. 1999-2009 - Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano:
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries. 2010-2020 - Megh Shukla:
Bayesian Uncertainty and Expected Gradient Length - Regression: Two Sides Of The Same Coin? 2021-2030 - Tomás Sipka, Milan Sulc, Jirí Matas:
The Hitchhiker's Guide to Prior-Shift Adaptation. 2031-2039 - Uche Osahor, Nasser M. Nasrabadi:
Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning. 2040-2049 - Michalis Lazarou, Tania Stathaki, Yannis Avrithis:
Tensor feature hallucination for few-shot learning. 2050-2060 - Ashima Garg, Shaurya Bagga, Yashvardhan Singh, Saket Anand:
HierMatch: Leveraging Label Hierarchies for Improving Semi-Supervised Learning. 2061-2070 - Rahaf Aljundi, Nikolay Chumerin, Daniel Olmeda Reino:
Identifying Wrongly Predicted Samples: A Method for Active Learning. 2071-2079 - Prachi Garg, Rohit Saluja, Vineeth N. Balasubramanian, Chetan Arora, Anbumani Subramanian, C. V. Jawahar:
Multi-Domain Incremental Learning for Semantic Segmentation. 2080-2090 - Debabrata Pal, Valay Bundele, Renuka Sharma, Biplab Banerjee, Yogananda V. Jeppu:
Few-Shot Open-Set Recognition of Hyperspectral Images with Outlier Calibration Network. 2091-2100 - Fan Yang, Srikrishna Karanam, Meng Zheng, Terrence Chen, Haibin Ling, Ziyan Wu:
Multi-motion and Appearance Self-Supervised Moving Object Detection. 2101-2110 - Valentin Gabeur, Arsha Nagrani, Chen Sun, Karteek Alahari, Cordelia Schmid:
Masking Modalities for Cross-modal Video Retrieval. 2111-2120 - Soumya Tripathy, Juho Kannala, Esa Rahtu:
Single Source One Shot Reenactment using Weighted Motion from Paired Feature Points. 2121-2130 - Jichao Kan, Kun Hu, Markus Hagenbuchner, Ah Chung Tsoi, Mohammed Bennamoun, Zhiyong Wang:
Sign Language Translation with Hierarchical Spatio-Temporal Graph Neural Network. 2131-2140 - Chris Andrew Gadde, C. V. Jawahar:
Transductive Weakly-Supervised Player Detection using Soccer Broadcast Videos. 2141-2150 - Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma:
Beyond Mono to Binaural: Generating Binaural Audio from Mono Audio with Depth and Cross Modal Attention. 2151-2160 - Jiayin Shi, Chao Ma:
Unsupervised Sounding Object Localization with Bottom-Up and Top-Down Attention. 2161-2170 - Lingyu Zhu, Esa Rahtu:
Visually Guided Sound Source Separation and Localization using Self-Supervised Motion Representations. 2171-2181 - Lingyu Zhu, Esa Rahtu:
V-SlowFast Network for Efficient Visual Sound Separation. 2182-2192 - Jan Tomesek, Martin Cadík, Jan Brejcha:
CrossLocate: Cross-modal Large-scale Visual Geo-Localization in Natural Environments using Rendered Modalities. 2193-2202 - Benjamin Fele, Ajda Lampe, Peter Peer, Vitomir Struc:
C-VTON: Context-Driven Image-Based Virtual Try-On Network. 2203-2212 - Simone Fobi, Joel Mugyenyi, Nathaniel J. Williams, Vijay Modi, Jay Taneja:
Predicting Levels of Household Electricity Consumption in Low-Access Settings. 2213-2222 - Bo Chen, Tat-Jun Chin, Marius Klimavicius:
Occlusion-Robust Object Pose Estimation with Holistic Representation. 2223-2233 - Victor G. Turrisi da Costa, Giacomo Zara, Paolo Rota, Thiago Oliveira-Santos, Nicu Sebe, Vittorio Murino, Elisa Ricci:
Dual-Head Contrastive Domain Adaptation for Video Action Recognition. 2234-2243 - Bingyin Zhao, Yingjie Lao:
Towards Class-Oriented Poisoning Attacks Against Neural Networks. 2244-2253 - Stella Graßhof, Sami Sebastian Brandt:
Tensor-Based Non-Rigid Structure from Motion. 2254-2263 - Amar Man Maharjan, Xiaohui Yuan:
Registration of Human Point Set using Automatic Key Point Detection and Region-aware Features. 2264-2272 - Felix Petersen, Bastian Goldluecke, Oliver Deussen, Hilde Kuehne:
Style Agnostic 3D Reconstruction via Adversarial Style Transfer. 2273-2282 - Nuri Benbarka, Timon Höfer, Hamd ul Moqeet Riaz, Andreas Zell:
Seeing Implicit Neural Representations as Fourier Series. 2283-2292 - Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha:
M3DETR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers. 2293-2303 - Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool:
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo. 2304-2314 - Lilika Makabe, Hiroaki Santo, Fumio Okura, Yasuyuki Matsushita:
Shape-coded ArUco: Fiducial Marker for Bridging 2D and 3D Modalities. 2315-2324 - Annika Hagemann, Moritz Knorr, Christoph Stiller:
Modeling dynamic target deformation in camera calibration. 2325-2333 - Hao Sun, Nick E. Pears, Yajie Gu:
Information Bottlenecked Variational Autoencoder for Disentangled 3D Facial Expression Modelling. 2334-2343 - Sara Hahner, Jochen Garcke:
Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes. 2344-2353 - Yifan Jiang, Xinyu Gong, Junru Wu, Humphrey Shi, Zhicheng Yan, Zhangyang Wang:
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search. 2354-2363 - Minhyeok Lee, Sangwon Hwang, Chaewon Park, Sangyoun Lee:
EdgeConv with Attention Module for Monocular Depth Estimation. 2364-2373 - Matthew J. Leotta, David Russell, Andrew Matrai:
On the Maximum Radius of Polynomial Lens Distortion. 2374-2382 - Quentin Bammey, Tina Nikoukhah, Marina Gardella, Rafael Grompone von Gioi, Miguel Colom, Jean-Michel Morel:
Non-Semantic Evaluation of Image Forensics Tools: Methodology and Database. 2383-2392 - Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
Addressing out-of-distribution label noise in webly-labelled data. 2393-2402 - J. Zachary Gazak, Ian McQuaid, Ryan Swindle, Matthew Phelps, Justin Fletcher:
SpectraNet: Learned Recognition of Artificial Satellites from High Contrast Spectroscopic Imagery. 2403-2411 - Connor Anderson, Ryan Farrell:
Improving Fractal Pre-training. 2412-2421 - Petra Bevandic, Marin Orsic, Ivan Grubisic, Josip Saric, Sinisa Segvic:
Multi-domain semantic segmentation with overlapping labels *. 2422-2431 - Vineeth S. Bhaskara, Tristan Aumentado-Armstrong, Allan D. Jepson, Alex Levinshtein:
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks. 2432-2441 - Jayesh Vaidya, Arulkumar Subramaniam, Anurag Mittal:
Co-Segmentation Aided Two-Stream Architecture for Video Captioning. 2442-2452 - Rehab Alahmadi, James K. Hahn:
Improve Image Captioning by Estimating the Gazing Patterns from the Caption. 2453-2462 - Siqu Long, Soyeon Caren Han, Xiaojun Wan, Josiah Poon:
GraDual: Graph-based Dual-modal Representation for Image-Text Matching. 2463-2472 - Ali Furkan Biten, Lluís Gómez, Dimosthenis Karatzas:
Let there be a clock on the beach: Reducing Object Hallucination in Image Captioning. 2473-2482 - Ali Furkan Biten, Andrés Mafla, Lluís Gómez, Dimosthenis Karatzas:
Is An Image Worth Five Sentences? A New Look into Semantics for Image-Text Matching. 2483-2492 - Tonmoay Deb, Akib Sadmanee, Kishor Kumar Bhaumik, Amin Ahsan Ali, M. Ashraful Amin, A. K. M. Mahbubur Rahman:
Variational Stacked Local Attention Networks for Diverse Video Captioning. 2493-2502 - Muchao Ye, Quanzeng You, Fenglong Ma:
QUALIFIER: Question-Guided Self-Attentive Multimodal Fusion Network for Audio Visual Scene-Aware Dialog. 2503-2511 - Robik Shrestha, Kushal Kafle, Christopher Kanan:
An Investigation of Critical Issues in Bias Mitigation Techniques. 2512-2523 - Lingyu Zhang, Richard J. Radke:
Natural Language Video Moment Localization Through Query-Controlled Temporal Convolution. 2524-2532 - Renshen Wang, Yasuhisa Fujii, Ashok C. Popat:
Post-OCR Paragraph Recognition by Graph Convolutional Networks. 2533-2542 - Sachin Raja, Ajoy Mondal, C. V. Jawahar:
Visual Understanding of Complex Table Structures from Document Images. 2543-2552 - Hajime Kato, Mitsuru Nakazawa, Hsuan-Kung Yang, Mark Chen, Björn Stenger:
Parsing Line Chart Images Using Linear Programming. 2553-2562 - Mohamed Ali Souibgui, Ali Furkan Biten, Sounak Dey, Alicia Fornés, Yousri Kessentini, Lluís Gómez, Dimosthenis Karatzas, Josep Lladós:
One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition. 2563-2571 - Camila Kolling, Martin D. Móre, Nathan Gavenski, Eduardo H. P. Pooch, Otávio Parraga, Rodrigo C. Barros:
Efficient Counterfactual Debiasing for Visual Question Answering. 2572-2581 - Minesh Mathew, Viraj Bagal, Rubèn Tito, Dimosthenis Karatzas, Ernest Valveny, C. V. Jawahar:
InfographicVQA. 2582-2591 - Chenshu Chen, Tao Liu, Wenming Tan, Shiliang Pu:
Mixed-dual-head Meets Box Priors: A Robust Framework for Semi-supervised Segmentation. 2592-2602 - Fatemeh Azimi, Sebastian Palacio, Federico Raue, Jörn Hees, Luca Bertinetto, Andreas Dengel:
Self-supervised Test-time Adaptation on Video Data. 2603-2612 - Jiawei Liu, Jing Zhang, Nick Barnes:
Modeling Aleatoric Uncertainty for Camouflaged Object Detection. 2613-2622 - Yizhe Zhang, Shubhankar Borse, Hong Cai, Ying Wang, Ning Bi, Xiaoyun Jiang, Fatih Porikli:
Perceptual Consistency in Video Segmentation. 2623-2632 - Yizhe Zhang, Shubhankar Borse, Hong Cai, Fatih Porikli:
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation. 2633-2642 - Andra Petrovai, Sergiu Nedevschi:
Time-Space Transformers for Video Panoptic Segmentation. 2643-2652 - Weixuan Sun, Jing Zhang, Nick Barnes:
Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation. 2653-2662 - Yufeng Wang, Yi-Hsuan Tsai, Wei-Chih Hung, Wenrui Ding, Shuo Liu, Ming-Hsuan Yang:
Semi-supervised Multi-task Learning for Semantics and Depth. 2663-2672 - Zhibo Zou, Junjie Huang, Ping Luo:
Compensation Tracker: Reprocessing Lost Object for Multi-Object Tracking. 2673 - Naejin Kong, Kiwoong Park, Harshith Goka:
Hole-robust Wireframe Detection. 2684-2693 - Royston Rodrigues, Masahiro Tani:
Global Assists Local: Effective Aerial Representations for Field of View Constrained Image Geo-Localization. 2694-2702 - John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak:
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. 2703-2713 - Yuan Cheng, Rui Lin, Peining Zhen, Tianshu Hou, Chiu Wa Ng, Hai-Bao Chen, Hao Yu, Ngai Wong:
FASSST: Fast Attention Based Single-Stage Segmentation Net for Real-Time Instance Segmentation. 2714-2722 - Azimkhon Ostonov, Peter Wonka, Dominik L. Michels:
RLSS: A Deep Reinforcement Learning Algorithm for Sequential Scene Generation. 2723-2732 - Lei Ji, Chenfei Wu, Daisy Zhou, Kun Yan, Edward Cui, Xilin Chen, Nan Duan:
Learning Temporal Video Procedure Segmentation from an Automatically Collected Large Dataset. 2733-2742 - Yonghui Fan, Yalin Wang:
Geometry-Aware Hierarchical Bayesian Learning on Manifolds. 2743-2752 - Bruno Degardin, João Neves, Vasco Lopes, João Brito, Ehsan Yaghoubi, Hugo Proença:
Generative Adversarial Graph Convolutional Networks for Human Action Synthesis. 2753-2762 - Emery Pierson, Mohamed Daoudi, Alice Barbara Tumpach:
A Riemannian Framework for Analysis of Human Body Surface. 2763-2772 - Ghazal Mazaheri, Amit K. Roy-Chowdhury:
Detection and Localization of Facial Expression Manipulations. 2773-2783 - Dong-Keon Kim, Kwangsu Kim:
Generalized Facial Manipulation Detection with Edge Region Feature Extraction. 2784-2794 - Jeremy Speth, Nathan Vance, Patrick J. Flynn, Kevin W. Bowyer, Adam Czajka:
Digital and Physical-World Attacks on Remote Pulse Detection. 2795-2804 - Peshal Agarwal, Danda Pani Paudel, Jan-Nico Zaech, Luc Van Gool:
Unsupervised Robust Domain Adaptation without Source Data. 2805-2814 - Nathan Drenkow, Neil Fendley, Philippe Burlina:
Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis. 2815-2825 - Federico Nesti, Giulio Rossolini, Saasha Nair, Alessandro Biondi, Giorgio C. Buttazzo:
Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks. 2826-2835 - Mingjun Yin, Shasha Li, Chengyu Song, M. Salman Asif, Amit K. Roy-Chowdhury, Srikanth V. Krishnamurthy:
ADC: Adversarial attacks against object Detection that evade Context consistency checks. 2836-2845 - Zhenhua Chen, Chuhua Wang, David Crandall:
Semantically Stealthy Adversarial Attacks against Segmentation Models. 2846-2855 - John Taylor Jewell, Vahid Reza Khazaie, Yalda Mohsenzadeh:
One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection. 2856-2866 - Yushi Cao, David Berend, Palina Tolmach, Guy Amit, Moshe Levy, Yang Liu, Asaf Shabtai, Yuval Elovici:
Fair and accurate age prediction using distribution aware data curation and augmentation. 2867-2877 - Yonghyun Jeong, Doyeon Kim, Seungjai Min, Seongho Joe, Youngjune Gwon, Jongwon Choi:
BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection. 2878-2887 - Amor Ben Tanfous, Aimen Zerroug, Drew Linsley, Thomas Serre:
How and What to Learn: Taxonomizing Self-Supervised Learning for 3D Action Recognition. 2888-2897 - Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Cross-modal Adversarial Reprogramming. 2898-2906 - Matthew Inkawhich, Nathan Inkawhich, Eric K. Davis, Hai Li, Yiran Chen:
The Untapped Potential of Off-the-Shelf Convolutional Neural Networks. 2907-2916 - Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, Jacek Tabor:
MisConv: Convolutional Neural Networks for Missing Data. 2917-2926 - Hanxiao Tan, Helena Kotthaus:
Surrogate Model-Based Explainability Methods for Point Cloud NNs. 2927-2936 - Ran Ben Izhak, Alon Lahav, Ayellet Tal:
AttWalk: Attentive Cross-Walks for Deep Mesh Analysis. 2937-2946 - Seungbum Hong, Jihun Yoon, Min-Kook Choi, Junmo Kim:
Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks. 2947-2956 - Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang:
Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity. 2957-2967 - Jan Weyler, Federico Magistri, Peter Seitz, Jens Behley, Cyrill Stachniss:
In-Field Phenotyping Based on Crop Leaf and Plant Instance Segmentation. 2968-2977 - Tai-Yin Chiu, Danna Gurari:
PhotoWCT2: Compact Autoencoder for Photorealistic Style Transfer Resulting from Blockwise Training and Skip Connections of High-Frequency Residuals. 2978-2987 - Nilotpal Das, Aniket Joshi, Promod Yenigalla, Gourav Agrwal:
MAPS: Multimodal Attention for Product Similarity. 2988-2996 - Yonghyun Jeong, Doyeon Kim, Jaehyeon Lee, Minki Hong, Solbi Hwang, Jongwon Choi:
mToFNet: Object Anti-Spoofing with Mobile Time-of-Flight Data. 2997-3006 - Keval Doshi, Yasin Yilmaz:
A Modular and Unified Framework for Detecting and Localizing Video Anomalies. 3007-3016 - Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik:
PROVES: Establishing Image Provenance using Semantic Signatures. 3017-3026 - Sam Leroux, Bo Li, Pieter Simoens:
Multi-branch Neural Networks for Video Anomaly Detection in Adverse Lighting and Weather Conditions. 3027-3035 - Keval Doshi, Yasin Yilmaz:
Rethinking Video Anomaly Detection - A Continual Learning Approach. 3036-3045 - Tejan Karmali, Abhinav Atrishi, Sai Sree Harsha, Susmit Agrawal, Varun Jampani, R. Venkatesh Babu:
LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity. 3046-3055 - Rita Pucci, Christian Micheloni, Gian Luca Foresti, Niki Martinel:
Pro-CCaps: Progressively Teaching Colourisation to Capsules. 3056-3064 - Chin-Chia Tsai, Tsung-Hsuan Wu, Shang-Hong Lai:
Multi-Scale Patch-Based Representation Learning for Image Anomaly Detection and Segmentation. 3065-3073 - Huiyu Gao, Miaomiao Liu:
Short-term Solar Irradiance Prediction from Sky Images with a Clear Sky Model. 3074-3082 - Anil Sharma, Saket Anand, Sanjit K. Kaul:
Intelligent Camera Selection Decisions for Target Tracking in a Camera Network. 3083-3092 - Vijayalakshmi Kanchana, Nagabhushan Somraj, Suraj Yadwad, Rajiv Soundararajan:
Revealing Disocclusions in Temporal View Synthesis through Infilling Vector Prediction. 3093-3102 - Xianhang Li, Junhao Zhang, Kunchang Li, Shruti Vyas, Yogesh Singh Rawat:
Pose-guided Generative Adversarial Net for Novel View Action Synthesis. 3103-3112 - Zhaoyi Wan, Haoran Chen, Jie An, Wentao Jiang, Cong Yao, Jiebo Luo:
Facial Attribute Transformers for Precise and Robust Makeup Transfer. 3113-3122 - Sungho Lee, Narae Choi, Woongil Choi:
Enhanced Correlation Matching based Video Frame Interpolation. 3123-3131 - Shanchuan Lin, Linjie Yang, Imran Saleemi, Soumyadip Sengupta:
Robust High-Resolution Video Matting with Temporal Guidance. 3132-3141 - Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Viswanathan Swaminathan, Henry Fuchs:
Tailor Me: An Editing Network for Fashion Attribute Shape Manipulation. 3142-3151 - Mohit Lamba, Kaushik Mitra:
Fast and Efficient Restoration of Extremely Dark Light Fields. 3152-3161 - Yan Yang, Md. Zakir Hossain, Tom Gedeon, Shafin Rahman:
S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation. 3162-3171 - Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, Victor Lempitsky:
Resolution-robust Large Mask Inpainting with Fourier Convolutions. 3172-3182 - Tobias Hinz, Matthew Fisher, Oliver Wang, Eli Shechtman, Stefan Wermter:
CharacterGAN: Few-Shot Keypoint Character Animation and Reposing. 3183-3192 - Daichi Horita, Kiyoharu Aizawa, Ryohei Suzuki, Taizan Yonetsuji, Huachun Zhu:
Fast Nonlinear Image Unblending. 3193-3201 - Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon:
Measuring Hidden Bias within Face Recognition via Racial Phenotypes. 3202-3211 - Daekyung Kim, Changmo Nam, Haesol Park, Mijung Jang, Kyong Joon Lee:
Weakly supervised Branch Network with Template Mask for Classifying Masses in 3D Automated Breast Ultrasound. 3212-3219 - Arvind Vepa, Andrew Choi, Noor Nakhaei, Wonjun Lee, Noah Stier, Andrew Vu, Greyson Jenkins, Xiaoyan Yang, Manjot Shergill, Moira Desphy, Kevin Delao, Mia Levy, Cristopher Garduno, Lacy Nelson, Wandi Liu, Fan Hung, Fabien Scalzo:
Weakly-Supervised Convolutional Neural Networks for Vessel Segmentation in Cerebral Angiography. 3220-3229 - Izabela Horvath, Johannes C. Paetzold, Oliver Schoppe, Rami Al-Maskari, Ivan Ezhov, Suprosanna Shit, Hongwei Li, Ali Ertürk, Bjoern H. Menze:
METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy. 3230-3240 - Haotian Wang, Min Xian, Aleksandar Vakanski:
TA-Net: Topology-Aware Network for Gland Segmentation. 3241-3249 - Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Zenglin Shi, I-Hung Lin, Jesper Tegnér, Marcel Worring:
Non-local Attention Improves Description Generation for Retinal Images. 3250-3259 - Qinwen Huang, Ye Zhou, Hsuan-Fu Liu, Alberto Bartesaghi:
Weakly Supervised Learning for Joint Image Denoising and Protein Localization in Cryo-Electron Microscopy. 3260-3269 - Xiangyi Yan, Hao Tang, Shanlin Sun, Haoyu Ma, Deying Kong, Xiaohui Xie:
AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation. 3270-3280 - Lukás Picek, Milan Sulc, Jirí Matas, Thomas S. Jeppesen, Jacob Heilmann-Clausen, Thomas Læssøe, Tobias Frøslev:
Danish Fungi 2020 - Not Just Another Image Recognition Dataset. 3281-3291 - Sudeep Fadadu, Shreyash Pandey, Darshan Hegde, Yi Shi, Fang-Chieh Chou, Nemanja Djuric, Carlos Vallespi-Gonzalez:
Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving. 3292-3300 - Nikolaus Salvatore, Justin Fletcher:
Learned Event-based Visual Perception for Improved Space Object Detection. 3301-3310 - Habib Slim, Eden Belouadah, Adrian Popescu, Darian M. Onchis:
Dataset Knowledge Transfer for Class-Incremental Learning without Memory. 3311-3320 - Siyang Yuan, Yitong Li, Dong Wang, Ke Bai, Lawrence Carin, David E. Carlson:
Learning to Weight Filter Groups for Robust Classification. 3321-3330 - Heng Zhang, Élisa Fromont, Sébastien Lefèvre, Bruno Avignon:
Low-cost Multispectral Scene Analysis with Modality Distillation. 3331-3340 - Giorgio Cantarini, Federico Figari Tomenotti, Nicoletta Noceti, Francesca Odone:
HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty. 3341-3350 - Junghun Oh, Heewon Kim, Sungyong Baik, Cheeun Hong, Kyoung Mu Lee:
Batch Normalization Tells You Which Filter is Important. 3351-3360 - Miriam Farber, Roman Goldenberg, George Leifman, Gal Novich:
Novel Ensemble Diversification Methods for Open-Set Scenarios. 3361-3370 - Teodora Szasz, Emileigh Harrison, Ping-Jung Liu, Ping-Chang Lin, Hakizumwami Birali Runesha, Anjali Adukia:
Measuring Representation of Race, Gender, and Age in Children's Books: Face Detection and Feature Classification in Illustrated Images. 3371-3380 - Oshada Jayasinghe, Sahan Hemachandra, Damith Anhettigama, Shenali Kariyawasam, Ranga Rodrigo, Peshala Jayasekara:
CeyMo: See More on Roads - A Novel Benchmark Dataset for Road Marking Detection. 3381-3390 - Shubham Trehan, Sathyanarayanan N. Aakur:
Towards Active Vision for Action Localization with Reactive Control and Predictive Learning. 3391-3400 - Mohammad Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Qinfeng (Javen) Shi, Anton van den Hengel:
ForeSI: Success-Aware Visual Navigation Agent. 3401-3410 - Yiming Cui, Zhiwen Cao, Chloe Yixin Xie, Xingyu Jiang, Feng Tao, Yingjie Victor Chen, Lin Li, Dongfang Liu:
DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception. 3411-3420 - Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim:
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection. 3421-3430 - Rafael Makrigiorgis, Nicolas Hadjittoouli, Christos Kyrkou, Theocharis Theocharides:
AirCamRTM: Enhancing Vehicle Detection for Efficient Aerial Camera-based Road Traffic Monitoring. 3431-3440 - Umut Kocasari, Alara Dirik, Mert Tiftikci, Pinar Yanardag:
StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation. 3441-3450 - Zhenzhu Zheng, Xi Peng:
Self-Guidance: Improve Deep Neural Network Generalization via Knowledge Distillation. 3451-3460 - Ronald Wilson, Hangwei Lu, Mengdi Zhu, Domenic Forte, Damon L. Woodard:
REFICS: A Step Towards Linking Vision with Hardware Assurance. 3461-3470 - Puneet Mangla, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy, Vineeth N. Balasubramanian:
Data InStance Prior (DISP) in Generative Adversarial Networks. 3471-3481 - Chengcheng Li, Zi Wang, Hairong Qi:
Online Knowledge Distillation by Temporal-Spatial Boosting. 3482-3491 - Zejiang Hou, Sun-Yuan Kung:
Multi-Dimensional Dynamic Model Compression for Efficient Image Super-Resolution. 3492-3502 - Sang Hyuk Lee, Seunghyun Lee, Byung Cheol Song:
Contextual Gradient Scaling for Few-Shot Learning. 3503-3512 - Zi Wang, Chengcheng Li:
Channel Pruning via Lookahead Search Guided Reinforcement Learning. 3513-3524 - Xin Xia, Xuefeng Xiao, Xing Wang, Min Zheng:
Progressive Automatic Design of Search Space for One-Shot Neural Architecture Search. 3525-3534 - Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama:
Meta Approach to Data Augmentation Optimization. 3535-3544 - Xingchen Wan, Binxin Ru, Pedro M. Esperança, Fabio Maria Carlucci:
Approximate Neural Architecture Search via Operation Distribution Learning. 3545-3554 - Pranav Jeevan, Amit Sethi:
Resource-efficient Hybrid X-formers for Vision. 3555-3563 - Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian:
Leveraging Test-Time Consensus Prediction for Robustness against Unseen Noise. 3564-3573 - Thibaut Issenhuth, Ugo Tanielian, David Picard, Jérémie Mary:
Latent reweighting, an almost free improvement for GANs. 3574-3583 - Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi:
Towards a Robust Differentiable Architecture Search under Label Noise. 3584-3594 - Rui Lin, Jie Ran, Dongpeng Wang, King Hung Chiu, Ngai Wong:
EZCrop: Energy-Zoned Channels for Robust Output Pruning. 3595-3604 - Daniel Scheliga, Patrick Mäder, Marco Seeland:
PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage. 3605-3614 - Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li:
S2-MLP: Spatial-Shift MLP Architecture for Vision. 3615-3624 - Kuluhan Binici, Nam Trung Pham, Tulika Mitra, Karianto Leman:
Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic Data. 3625-3633 - Zirui Xu, Fuxun Yu, Chenxi Liu, Zhe Wu, Hongcheng Wang, Xiang Chen:
FalCon: Fine-grained Feature Map Sparsity Computing with Decomposed Convolutions for Inference Optimization. 3634-3644 - Suhas Lohit, Michael Jones:
Model Compression Using Optimal Transport. 3645-3654 - Steven Hickson, Karthik Raveendran, Irfan A. Essa:
Sharing Decoders: Network Fission for Multi-task Pixel Prediction. 3655-3664 - Shixing Yu, Zhewei Yao, Amir Gholami, Zhen Dong, Sehoon Kim, Michael W. Mahoney, Kurt Keutzer:
Hessian-Aware Pruning and Optimal Neural Implant. 3665-3676 - Siavash Khodadadeh, Shabnam Ghadar, Saeid Motiian, Wei-An Lin, Ladislau Bölöni, Ratheesh Kalarot:
Latent to Latent: A Learned Mapper for Identity Preserving Editing of Multiple Face Attributes in StyleGAN-generated Images. 3677-3685 - Leon Amadeus Varga, Benjamin Kiefer, Martin Messmer, Andreas Zell:
SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water. 3686-3696 - Vibashan VS, Domenick Poster, Suya You, Shuowen Hu, Vishal M. Patel:
Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection using Meta-Learning. 3697-3706 - Javad Zolfaghari Bengar, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu:
Class-Balanced Active Learning for Image Classification. 3707-3716 - Inbar Huberman-Spiegelglas, Raanan Fattal:
Single Image Object Counting and Localizing using Active-Learning. 3717-3726 - Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling. 3727-3736 - Mahsa Baktashmotlagh, Tianle Chen, Mathieu Salzmann:
Learning to Generate the Unknowns as a Remedy to the Open-Set Domain Shift. 3737-3746 - Su Pang, Daniel D. Morris, Hayder Radha:
Fast-CLOCs: Fast Camera-LiDAR Object Candidates Fusion for 3D Object Detection. 3747-3756 - Joshua Peeples, Connor H. McCurley, Sarah Walker, Dylan Stewart, Alina Zare:
Learnable Adaptive Cosine Estimator (LACE) for Image Classification. 3757-3767 - Feng Shi, Paul Marchwica, Juan Camilo Gamboa Higuera, Mike Jamieson, Mehrsan Javan, Parthipan Siva:
Self-Supervised Shape Alignment for Sports Field Registration. 3768-3777 - Lingzhi Zhang, Weiyu Du, Shenghao Zhou, Jiancong Wang, Jianbo Shi:
Inpaint2Learn: A Self-Supervised Framework for Affordance Learning. 3778-3787 - Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty:
DAD: Data-free Adversarial Defense at Test Time. 3788-3797 - Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell:
Physical Adversarial Attacks on an Aerial Imagery Object Detector. 3798-3808 - Junyoung Byun, Hyojun Go, Changick Kim:
Geometrically Adaptive Dictionary Attack on Face Recognition. 3809-3818 - Junyoung Byun, Hyojun Go, Changick Kim:
On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks. 3819-3828 - Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee:
REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions. 3829-3838 - Chetan Kumar, Deepak Kumar, Ming Shao:
Generative Adversarial Attack on Ensemble Clustering. 3839-3848 - Gabriel Tjio, Ping Liu, Joey Tianyi Zhou, Rick Siow Mong Goh:
Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation. 3849-3858 - Van-Khoa Nguyen, Adrian Popescu, Jérôme Deshayes-Chossart:
Unveiling Real-Life Effects of Online Photo Sharing. 3859-3869 - Qian Wang, Daniel Kurz:
Reconstructing Training Data from Diverse ML Models by Ensemble Inversion. 3870-3878 - Saloni Dash, Vineeth N. Balasubramanian, Amit Sharma:
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals. 3879-3888 - Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation. 3889-3897 - Sharat Agarwal, Sumanyu Muku, Saket Anand, Chetan Arora:
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias. 3898-3907 - Md. Mehrab Tanjim, Ritwik Sinha, Krishna Kumar Singh, Sridhar Mahadevan, David Arbour, Moumita Sinha, Garrison W. Cottrell:
Generating and Controlling Diversity in Image Search. 3908-3916 - Yuliang Guo, Zhong Li, Zekun Li, Xiangyu Du, Shuxue Quan, Yi Xu:
PoP-Net: Pose over Parts Network for Multi-Person 3D Pose Estimation from a Depth Image. 3917-3926 - Rowel Atienza:
Improving Model Generalization by Agreement of Learned Representations from Data Augmentation. 3927-3936 - Timo Stoffregen, Hossein Daraei, Clare Robinson, Alexander Fix:
Event-Based Kilohertz Eye Tracking using Coded Differential Lighting. 3937-3945 - Chenyu You, Lianyi Han, Aosong Feng, Ruihan Zhao, Hui Tang, Wei Fan:
MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution. 3946-3956 - Yizhou Li, Yusuke Monno, Masatoshi Okutomi:
Single Image Deraining Network with Rain Embedding Consistency and Layered LSTM. 3957-3966 - Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool:
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo. 3967-3979 - Libo Long, Jochen Lang:
Detail Preserving Residual Feature Pyramid Modules for Optical Flow. 3980-3988 - S. Alireza Golestaneh, Saba Dadsetan, Kris M. Kitani:
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency. 3989-3999 - Zhenzhen Wang, Minghai Qin, Yen-Kuang Chen:
Learning from the CNN-based Compressed Domain. 4000-4008 - Mohammad Emad, Maurice Peemen, Henk Corporaal:
MoESR: Blind Super-Resolution using Kernel-Aware Mixture of Experts. 4009-4018 - Pablo Navarrete Michelini, Yunhua Lu, Xingqun Jiang:
edge-SR: Super-Resolution For The Masses. 4019-4028 - Daehyeon Kong, Kyeongbo Kong, Kyunghun Kim, Sung-Jun Min, Suk-Ju Kang:
Image-Adaptive Hint Generation via Vision Transformer for Outpainting. 4029-4038 - Ke Li, Dengxin Dai, Luc Van Gool:
Hyperspectral Image Super-Resolution with RGB Image Super-Resolution as an Auxiliary Task. 4039-4048 - Tak Ming Wong, Hartmut Bauermeister, Matthias Kahl, Peter Haring Bolívar, Michael Möller, Andreas Kolb:
Deep Optimization Prior for THz Model Parameter Estimation. 4049-4058 - Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets:
Geometry-Inspired Top-k Adversarial Perturbations. 4059-4068 - Tanmay Kumar Sinha, Jayadev Naram, Pawan Kumar:
Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion. 4069-4077 - Diksha Moolchandani, Nivedita Shrivastava, Anshul Kumar, Smruti R. Sarangi:
PredStereo: An Accurate Real-time Stereo Vision System. 4078-4087
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