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2020 – today
- 2024
[j146]Rosa Sicilia, Linlin Shen, Alejandro Rodríguez González, KC Santosh, Peter J. F. Lucas:
Introduction to the special issue on IEEE CBMS 2022 mining healthcare: AI and machine learning for biomedicine. Artif. Intell. Medicine 156: 102954 (2024)- [j145]Shengdong Zhang
, Xiaoqin Zhang, Wenqi Ren, Linlin Shen, Li Zhao, Jun Zhang:
Photo realistic synthetic dataset and multi-scale attention dehazing network. Eng. Appl. Artif. Intell. 133: 108359 (2024) - [j144]Xinquan Yang, Xuguang Li, Xuechen Li, Wenting Chen, Linlin Shen, Xin Li, Yongqiang Deng:
Two-stream regression network for dental implant position prediction. Expert Syst. Appl. 235: 121135 (2024) - [j143]Leilei Zeng, Xuechen Li, Xinquan Yang, Wenting Chen, Jingxin Liu, Linlin Shen, Song Wu:
SCPMan: Shape context and prior constrained multi-scale attention network for pancreatic segmentation. Expert Syst. Appl. 252: 124070 (2024) - [j142]Qiufu Li, Linlin Shen:
Dual-branch interactive cross-frequency attention network for deep feature learning. Expert Syst. Appl. 254: 124406 (2024) - [j141]Da Wan, Can Gao, Jie Zhou, Xinrui Shen, Linlin Shen:
Unsupervised fabric defect detection with high-frequency feature mapping. Multim. Tools Appl. 83(7): 21615-21632 (2024) - [j140]Shengdong Zhang, Xiaoqin Zhang, Linlin Shen, En Fan:
GAN-based dehazing network with knowledge transferring. Multim. Tools Appl. 83(15): 45095-45110 (2024) - [j139]Xinquan Yang, Xuguang Li, Xuechen Li, Peixi Wu, Linlin Shen, Yongqiang Deng:
ImplantFormer: vision transformer-based implant position regression using dental CBCT data. Neural Comput. Appl. 36(12): 6643-6658 (2024) - [j138]Weicheng Xie, Cheng Luo, Gui Wang, Linlin Shen, Zhihui Lai, Siyang Song:
Network characteristics adaption and hierarchical feature exploration for robust object recognition. Pattern Recognit. 149: 110240 (2024) - [j137]Yuwu Lu, Dewei Lin, Jiajun Wen, Linlin Shen, Xuelong Li, Zhenkun Wen:
Heterogeneous domain adaptation via incremental discriminative knowledge consistency. Pattern Recognit. 156: 110857 (2024) - [j136]Junpeng Yang, Qiufu Li, Linlin Shen:
PointSurFace: Discriminative point cloud surface feature extraction for 3D face recognition. Pattern Recognit. 156: 110858 (2024) - [j135]Yaning Zhang, Jiahe Zhang, Linlin Shen, Zitong Yu, Zan Gao:
Fine-Grained Temporal-Enhanced Transformer for Dynamic Facial Expression Recognition. IEEE Signal Process. Lett. 31: 2560-2564 (2024) - [j134]Shengdong Zhang, Xiaoqin Zhang, Shaohua Wan, Wenqi Ren, Liping Zhao, Li Zhao, Linlin Shen:
Diverse Hazy Image Synthesis via Coloring Network. IEEE Trans. Artif. Intell. 5(7): 3703-3713 (2024) - [j133]Xu Wu, Zhihui Lai, Shiqi Yu, Jie Zhou, Zhuoqian Liang, Linlin Shen:
Coarse-to-Fine Low-Light Image Enhancement With Light Restoration and Color Refinement. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 591-603 (2024) - [j132]Ya-Nan Zhang, Qiufu Li, Linlin Shen, Ailian He, Song Wu:
Deep Variational Inference Network for Single Image Reflection Removal. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1910-1921 (2024) - [j131]Yuting Zhou, Can Gao, Jie Zhou, Weiping Ding, Linlin Shen, Zhihui Lai:
OCI-SSL: Open Class-Imbalanced Semi-Supervised Learning With Contrastive Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 3779-3792 (2024) - [j130]Feng Liu, Wenfeng Zeng, Yin Li, Linlin Shen:
A Lightweight and Noise-Robust Method for Internal OCT Fingerprint Reconstruction. IEEE Trans. Inf. Forensics Secur. 19: 5492-5505 (2024) - [j129]Weicheng Xie, Zenghao Niu, Qinliang Lin, Siyang Song, Linlin Shen:
Generative Imperceptible Attack With Feature Learning Bias Reduction and Multi-Scale Variance Regularization. IEEE Trans. Inf. Forensics Secur. 19: 7924-7938 (2024) - [j128]Yaning Zhang, Zitong Yu, Tianyi Wang, Xiaobin Huang, Linlin Shen, Zan Gao, Jianfeng Ren:
GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning. IEEE Trans. Inf. Forensics Secur. 19: 8559-8572 (2024) - [j127]Shengdong Zhang, Xiaoqin Zhang, Shaohua Wan, Wenqi Ren, Liping Zhao, Linlin Shen:
Generative Adversarial and Self-Supervised Dehazing Network. IEEE Trans. Ind. Informatics 20(3): 4187-4197 (2024) - [j126]Weicheng Xie, Zhibin Peng, Linlin Shen, Wenya Lu, Yang Zhang, Siyang Song:
Cross-Layer Contrastive Learning of Latent Semantics for Facial Expression Recognition. IEEE Trans. Image Process. 33: 2514-2529 (2024) - [j125]Wei Zhuo, Yuan Wang, Junliang Chen, Songhe Deng, Zhi Wang, Linlin Shen, Wenwu Zhu:
Enhancing Unsupervised Semantic Segmentation Through Context-Aware Clustering. IEEE Trans. Multim. 26: 10081-10093 (2024) - [j124]Zhe Kong, Wentian Zhang, Feng Liu, Wenhan Luo, Haozhe Liu, Linlin Shen, Raghavendra Ramachandra:
Taming Self-Supervised Learning for Presentation Attack Detection: De-Folding and De-Mixing. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10639-10650 (2024) - [j123]Yang Zhang, Linlin Shen:
Automatic Learning Rate Adaption for Memristive Deep Learning Systems. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10791-10802 (2024) - [c195]Qinliang Lin, Cheng Luo, Zenghao Niu, Xilin He, Weicheng Xie, Yuanbo Hou, Linlin Shen, Siyang Song:
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping. AAAI 2024: 3459-3467 - [c194]Wenting Chen, Linlin Shen, Jingyang Lin, Jiebo Luo, Xiang Li, Yixuan Yuan:
Fine-Grained Image-Text Alignment in Medical Imaging Enables Explainable Cyclic Image-Report Generation. ACL (1) 2024: 9494-9509 - [c193]Zihan Wang, Siyang Song, Cheng Luo, Songhe Deng, Weicheng Xie, Linlin Shen:
Multi-Scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition. CVPR 2024: 1270-1280 - [c192]Jinheng Xie, Songhe Deng, Bing Li, Haozhe Liu, Yawen Huang, Yefeng Zheng, Jürgen Schmidhuber, Bernard Ghanem, Linlin Shen, Mike Zheng Shou:
Tune-an-Ellipse: CLIP Has Potential to Find what you Want. CVPR 2024: 13723-13732 - [c191]Weizhao He, Yang Zhang, Wei Zhuo, Linlin Shen, Jiaqi Yang, Songhe Deng, Liang Sun:
APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation. CVPR 2024: 23762-23772 - [c190]Qingzheng Huang, Xilin He, Xiaole Xian, Qinliang Lin, Weicheng Xie, Siyang Song, Linlin Shen, Zitong Yu:
MTaDCS: Moving Trace and Feature Density-Based Confidence Sample Selection Under Label Noise. ECCV (71) 2024: 178-195 - [c189]Ziqi Gao, Qiufu Li, Gui Wang, Linlin Shen:
PointFaceFormer: Local and Global Attention Based Transformer for 3D Point Cloud Face Recognition. FG 2024: 1-8 - [c188]Tao Zhong, Xiaole Xian, Zihan Wang, Weicheng Xie, Linlin Shen:
Expression-Aware Masking and Progressive Decoupling for Cross-Database Facial Expression Recognition. FG 2024: 1-10 - [c187]Xiangbo Gao, Qinliang Lin, Cheng Luo, Weicheng Xie, Linlin Shen, Keerthy Kusumam, Siyang Song:
Scale-Free And Task-Generic Attack: Generating Photo-Realistic Adversarial Patterns With Patch Quilting Generator. ICASSP 2024: 2985-2989 - [c186]Yuxin Song, Cheng Luo, Aaron Jackson, Xi Jia, Weicheng Xie, Linlin Shen, Hatice Gunes, Siyang Song:
MERG: Multi-Dimensional Edge Representation Generation Layer for Graph Neural Networks. ICASSP 2024: 5475-5479 - [c185]Haijian Liang, Weicheng Xie, Xilin He, Siyang Song, Linlin Shen:
Circular Decomposition and Cross-Modal Recombination for Multimodal Sentiment Analysis. ICASSP 2024: 7910-7914 - [c184]Yudong Li, Yuhao Feng, Wen Zhou, Zhe Zhao, Linlin Shen, Cheng Hou, Xianxu Hou:
Dynamic Data Sampler for Cross-Language Transfer Learning in Large Language Models. ICASSP 2024: 11291-11295 - [c183]Junliang Zhang, Xu Liu, Yu Liang, Xiaole Xian, Weicheng Xie, Linlin Shen, Siyang Song:
CLIP-Guided Bidirectional Prompt and Semantic Supervision for Dynamic Facial Expression Recognition. IJCB 2024: 1-10 - [c182]Fatih Aksu, Alessandro Bria, Alice Natalina Caragliano, Camillo Maria Caruso, Wenting Chen, Ermanno Cordelli, Omar Coser, Arianna Francesconi, Leonardo Furia, Valerio Guarrasi, Giulio Iannello, Clemente Lauretti, Guido Manni, Giustino Marino, Domenico Paolo, Filippo Ruffini, Linlin Shen, Rosa Sicilia, Paolo Soda, Christian Tamantini, Matteo Tortora, Zhuoru Wu, Loredana Zollo:
Towards AI-driven Next Generation Personalized Healthcare and Well-being. Ital-IA 2024: 360-365 - [c181]Filippo Ruffini, Lorenzo Tronchin, Zhuoru Wu, Wenting Chen, Paolo Soda, Linlin Shen, Valerio Guarrasi:
Multi-Dataset Multi-Task Learning for COVID-19 Prognosis. MICCAI (12) 2024: 251-261 - [c180]Shaonan Liu, Wenting Chen, Jie Liu, Xiaoling Luo, Linlin Shen:
[inline-graphic not available: see fulltext] GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph. MICCAI (1) 2024: 525-535 - [c179]Jiansong Zhang, Shengnan Wu, Peizhong Liu, Linlin Shen:
A New Dataset and Baseline Model for Rectal Cancer Risk Assessment in Endoscopic Ultrasound Videos. MICCAI (3) 2024: 564-573 - [c178]Xinquan Yang, Xuguang Li, Xiaoling Luo, Leilei Zeng, Yudi Zhang, Linlin Shen, Yongqiang Deng:
Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network. MICCAI (5) 2024: 606-615 - [c177]Xinxing Cheng, Xi Jia, Wenqi Lu, Qiufu Li, Linlin Shen, Alexander Krull, Jinming Duan:
WiNet: Wavelet-Based Incremental Learning for Efficient Medical Image Registration. MICCAI (2) 2024: 761-771 - [c176]Yudong Li, Xianxu Hou, Dezhi Zheng, Linlin Shen, Zhe Zhao:
FLIP-80M: 80 Million Visual-Linguistic Pairs for Facial Language-Image Pre-Training. ACM Multimedia 2024: 58-67 - [c175]Hongze Zhu, Guoyang Xie, Chengbin Hou, Tao Dai, Can Gao, Jinbao Wang, Linlin Shen:
Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning. ACM Multimedia 2024: 4680-4689 - [c174]Hengde Zhu, Xiangyu Kong, Weicheng Xie, Xin Huang, Linlin Shen, Lu Liu, Hatice Gunes, Siyang Song:
PerFRDiff: Personalised Weight Editing for Multiple Appropriate Facial Reaction Generation. ACM Multimedia 2024: 9495-9504 - [c173]Ziqi Gao, Qiufu Li, Linlin Shen, Junpeng Yang:
3DFaceMAE: Pre-training of Masked Autoencoder Using Patch-Based Random Masking Reconstruction and Super-resolution for 3D Face Recognition. PRCV (11) 2024: 488-503 - [i104]Songhe Deng, Wei Zhuo, Jinheng Xie, Linlin Shen:
Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation. CoRR abs/2401.09883 (2024) - [i103]Yaning Zhang, Zitong Yu, Xiaobin Huang, Linlin Shen, Jianfeng Ren:
GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning. CoRR abs/2402.02003 (2024) - [i102]Qinliang Lin, Cheng Luo, Zenghao Niu, Xilin He, Weicheng Xie, Yuanbo Hou, Linlin Shen, Siyang Song:
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping. CoRR abs/2402.03951 (2024) - [i101]Wenxuan Wang, Yihang Su, Jingyuan Huan, Jie Liu, Wenting Chen, Yudi Zhang, Cheng-Yi Li, Kao-Jung Chang, Xiaohan Xin, Linlin Shen, Michael R. Lyu:
Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models. CoRR abs/2402.11217 (2024) - [i100]Haozhe Liu, Wentian Zhang, Feng Liu, Haoqian Wu, Linlin Shen:
Fingerprint Presentation Attack Detector Using Global-Local Model. CoRR abs/2402.12754 (2024) - [i99]Qiufu Li, Xi Jia, Jiancan Zhou, Linlin Shen, Jinming Duan:
Rediscovering BCE Loss for Uniform Classification. CoRR abs/2403.07289 (2024) - [i98]Xu Wu, Xianxu Hou, Zhihui Lai, Jie Zhou, Ya-nan Zhang, Witold Pedrycz, Linlin Shen:
CodeEnhance: A Codebook-Driven Approach for Low-Light Image Enhancement. CoRR abs/2404.05253 (2024) - [i97]Zihan Wang, Siyang Song, Cheng Luo, Songhe Deng, Weicheng Xie, Linlin Shen:
Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition. CoRR abs/2404.06443 (2024) - [i96]Yudong Li, Yuhao Feng, Wen Zhou, Zhe Zhao, Linlin Shen, Cheng Hou, Xianxu Hou:
Dynamic data sampler for cross-language transfer learning in large language models. CoRR abs/2405.10626 (2024) - [i95]Weijia Fan, Jiajun Wen, Xi Jia, Linlin Shen, Jiancan Zhou, Qiufu Li:
EPL: Empirical Prototype Learning for Deep Face Recognition. CoRR abs/2405.12447 (2024) - [i94]Filippo Ruffini, Lorenzo Tronchin, Zhuoru Wu, Wenting Chen, Paolo Soda, Linlin Shen, Valerio Guarrasi:
Multi-Dataset Multi-Task Learning for COVID-19 Prognosis. CoRR abs/2405.13771 (2024) - [i93]Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze:
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024) - [i92]Xinquan Yang, Xuguang Li, Xiaoling Luo, Leilei Zeng, Yudi Zhang, Linlin Shen, Yongqiang Deng:
Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network. CoRR abs/2406.04603 (2024) - [i91]Weizhao He, Yang Zhang, Wei Zhuo, Linlin Shen, Jiaqi Yang, Songhe Deng, Liang Sun:
APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation. CoRR abs/2406.08372 (2024) - [i90]Zijian Cai, Xinquan Yang, Xuguang Li, Xiaoling Luo, Xuechen Li, Linlin Shen, He Meng, Yongqiang Deng:
SSAD: Self-supervised Auxiliary Detection Framework for Panoramic X-ray based Dental Disease Diagnosis. CoRR abs/2406.13963 (2024) - [i89]Yingxin Lai, Zitong Yu, Jing Yang, Bin Li, Xiangui Kang, Linlin Shen:
GM-DF: Generalized Multi-Scenario Deepfake Detection. CoRR abs/2406.20078 (2024) - [i88]Xinxing Cheng, Xi Jia, Wenqi Lu, Qiufu Li, Linlin Shen, Alexander Krull, Jinming Duan:
WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration. CoRR abs/2407.13426 (2024) - [i87]Hongze Zhu, Guoyang Xie, Chengbin Hou, Tao Dai, Can Gao, Jinbao Wang, Linlin Shen:
Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning. CoRR abs/2408.04604 (2024) - [i86]Shaonan Liu, Wenting Chen, Jie Liu, Xiaoling Luo, Linlin Shen:
GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph. CoRR abs/2408.05502 (2024) - [i85]Zhuoqin Yang, Jiansong Zhang, Xiaoling Luo, Zheng Lu, Linlin Shen:
Activation Space Selectable Kolmogorov-Arnold Networks. CoRR abs/2408.08338 (2024) - [i84]Jiaqi Yang, Ye Huang, Xiangjian He, Linlin Shen, Guoping Qiu:
TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation. CoRR abs/2409.05393 (2024) - [i83]Yaning Zhang, Tianyi Wang, Zitong Yu, Zan Gao, Linlin Shen, Shengyong Chen:
MFCLIP: Multi-modal Fine-grained CLIP for Generalizable Diffusion Face Forgery Detection. CoRR abs/2409.09724 (2024) - [i82]Yiping Xie, Zitong Yu, Bingjie Wu, Weicheng Xie, Linlin Shen:
SFDA-rPPG: Source-Free Domain Adaptive Remote Physiological Measurement with Spatio-Temporal Consistency. CoRR abs/2409.12040 (2024) - [i81]Xu Wu, Zhihui Lai, Jie Zhou, Can Gao, Xianxu Hou, Ya-nan Zhang, Linlin Shen:
Low-Light Enhancement Effect on Classification and Detection: An Empirical Study. CoRR abs/2409.14461 (2024) - [i80]Xilin He, Cheng Luo, Xiaole Xian, Bing Li, Siyang Song, Muhammad Haris Khan, Weicheng Xie, Linlin Shen, Zongyuan Ge:
SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data. CoRR abs/2410.09865 (2024) - [i79]Xilin He, Jingyu Hu, Qinliang Lin, Cheng Luo, Weicheng Xie, Siyang Song, Muhammad Haris Khan, Linlin Shen:
Towards Combating Frequency Simplicity-biased Learning for Domain Generalization. CoRR abs/2410.16146 (2024) - [i78]Yu Zeng, Yang Zhang, Jiachen Liu, Linlin Shen, Kaijun Deng, Weizhao He, Jinbao Wang:
HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion. CoRR abs/2410.21789 (2024) - 2023
- [j122]Shengdong Zhang, Xiaoqin Zhang, Linlin Shen:
Dual Multi-Scale Dehazing Network. IEEE Access 11: 84699-84708 (2023) - [j121]Ya-Nan Zhang, Linlin Shen, Zhihui Lai:
Adaptive weighted rain streaks model-driven deep network for single image deraining. Expert Syst. Appl. 222: 119807 (2023) - [j120]Jintao Luo, Can Gao, Da Wan, Linlin Shen:
Texture and semantic convolutional auto-encoder for anomaly detection and segmentation. IET Comput. Vis. 17(7): 829-843 (2023) - [j119]Syed Furqan Qadri, Hongxiang Lin, Linlin Shen, Mubashir Ahmad, Salman Qadri, Salabat Khan, Maqbool Khan, Syeda Shamaila Zareen, Muhammad Azeem Akbar, Md Belal Bin Heyat, Saqib Qamar:
CT-Based Automatic Spine Segmentation Using Patch-Based Deep Learning. Int. J. Intell. Syst. 2023: 1-14 (2023) - [j118]Nibaran Das, Bodhisatwa Mandal, KC Santosh, Linlin Shen, Sukanta Chakraborty:
Cervical cancerous cell classification: opposition-based harmony search for deep feature selection. Int. J. Mach. Learn. Cybern. 14(11): 3911-3922 (2023) - [j117]Yating Huang, Xuechen Li, Siting Zheng, Zhongliang Li, Sihan Li, Linlin Shen, Changen Zhou, Zhihui Lai:
Tongue size and shape classification fusing segmentation features for traditional Chinese medicine diagnosis. Neural Comput. Appl. 35(10): 7581-7594 (2023) - [j116]Zhongliang Li, Xuechen Li, Zhihao Jin, Linlin Shen:
Learning from pseudo-lesion: a self-supervised framework for COVID-19 diagnosis. Neural Comput. Appl. 35(15): 10717-10731 (2023) - [j115]Jiajun Wen, Hong-Lin Chu, Zhihui Lai, Tianyang Xu, Linlin Shen:
Enhanced robust spatial feature selection and correlation filter learning for UAV tracking. Neural Networks 161: 39-54 (2023) - [j114]Xianxu Hou, Linlin Shen, Zhong Ming, Guoping Qiu:
Deep generative image priors for semantic face manipulation. Pattern Recognit. 139: 109477 (2023) - [j113]Siyang Song, Shashank Jaiswal, Enrique Sánchez-Lozano, Georgios Tzimiropoulos, Linlin Shen, Michel F. Valstar:
Self-Supervised Learning of Person-Specific Facial Dynamics for Automatic Personality Recognition. IEEE Trans. Affect. Comput. 14(1): 178-195 (2023) - [j112]Siyang Song, Zilong Shao, Shashank Jaiswal, Linlin Shen, Michel F. Valstar, Hatice Gunes:
Learning Person-Specific Cognition From Facial Reactions for Automatic Personality Recognition. IEEE Trans. Affect. Comput. 14(4): 3048-3065 (2023) - [j111]Ziqi Jin, Jinheng Xie, Bizhu Wu, Linlin Shen:
Weakly Supervised Pedestrian Segmentation for Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 33(3): 1349-1362 (2023) - [j110]Junliang Chen, Weizeng Lu, Yuexiang Li, Linlin Shen, Jinming Duan:
Adversarial Learning of Object-Aware Activation Map for Weakly-Supervised Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 33(8): 3935-3946 (2023) - [j109]Junhong Zhang, Zhihui Lai, Heng Kong, Linlin Shen:
Robust Twin Bounded Support Vector Classifier With Manifold Regularization. IEEE Trans. Cybern. 53(8): 5135-5150 (2023) - [j108]Can Gao, Yangbo Wang, Jie Zhou, Weiping Ding, Linlin Shen, Zhihui Lai:
Possibilistic Neighborhood Graph: A New Concept of Similarity Graph Learning. IEEE Trans. Emerg. Top. Comput. Intell. 7(6): 1636-1650 (2023) - [j107]Jun Wan, Jun Liu, Jie Zhou, Zhihui Lai, Linlin Shen, Hang Sun, Ping Xiong, Wenwen Min:
Precise Facial Landmark Detection by Reference Heatmap Transformer. IEEE Trans. Image Process. 32: 1966-1977 (2023) - [j106]Xianxu Hou, Xiaokang Zhang, Hanbang Liang, Linlin Shen, Zhong Ming:
Lifelong Age Transformation With a Deep Generative Prior. IEEE Trans. Multim. 25: 3125-3139 (2023) - [j105]Xianxu Hou, Xiaokang Zhang, Yudong Li, Linlin Shen:
TextFace: Text-to-Style Mapping Based Face Generation and Manipulation. IEEE Trans. Multim. 25: 3409-3419 (2023) - [j104]Weicheng Xie, Wenya Lu, Zhibin Peng, Linlin Shen:
Consistency Preservation and Feature Entropy Regularization for GAN Based Face Editing. IEEE Trans. Multim. 25: 8892-8905 (2023) - [c172]Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, Han Guo, Weigang Guo, Taiqiang Wu, Tao Zhu, Wenhang Shi, Chen Chen, Shan Huang, Sihong Chen, Liqun Liu, Feifei Li, Xiaoshuai Chen, Xingwu Sun, Zhanhui Kang, Xiaoyong Du, Linlin Shen, Kimmo Yan:
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. ACL (demo) 2023: 217-225 - [c171]Xinquan Yang, Jinheng Xie, Xuechen Li, Xuguang Li, Linlin Shen, Yongqiang Deng:
TCSloT: Text Guided 3D Context and Slope Aware Triple Network for Dental Implant Position Prediction. BIBM 2023: 726-732 - [c170]Dan Li, Xuechen Li, Zhibin Peng, Wenting Chen, Linlin Shen, Guangyao Wu:
Multi-scale Contrastive Learning for Gastroenteroscopy Classification. CBMS 2023: 852-858 - [c169]Zihan Wang, Siyang Song, Cheng Luo, Yuzhi Zhou, Shiling Wu, Weicheng Xie, Linlin Shen:
Spatial-Temporal Graph-Based AU Relationship Learning for Facial Action Unit Detection. CVPR Workshops 2023: 5899-5907 - [c168]Hao Li, Xianxu Hou, Zepeng Huang, Linlin Shen:
StyleGene: Crossover and Mutation of Region-level Facial Genes for Kinship Face Synthesis. CVPR 2023: 20960-20969 - [c167]Huawei Lin, Haozhe Liu, Qiufu Li, Linlin Shen:
Activation Template Matching Loss for Explainable Face Recognition. FG 2023: 1-8 - [c166]Yanliang Guo, Xianxu Hou, Feng Liu, Linlin Shen, Lei Wang, Zhen Wang, Peng Liu:
StyleAU: StyleGAN based Facial Action Unit Manipulation for Expression Editing. IJCB 2023: 1-10 - [c165]Xilin He, Qinliang Lin, Cheng Luo, Weicheng Xie, Siyang Song, Feng Liu, Linlin Shen:
Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition. ICCV 2023: 1526-1535 - [c164]Jiancan Zhou, Xi Jia, Qiufu Li, Linlin Shen, Jinming Duan:
UniFace: Unified Cross-Entropy Loss for Deep Face Recognition. ICCV 2023: 20673-20682 - [c163]Wenya Lu, Zhibin Peng, Cheng Luo, Weicheng Xie, Jiajun Wen, Zhihui Lai, Linlin Shen:
Multi Task-Based Facial Expression Synthesis with Supervision Learning and Feature Disentanglement of Image Style. ICIP 2023: 1005-1009 - [c162]Zepeng Huang, Qi Wan, Junliang Chen, Xiaodong Zhao, Kai Ye, Linlin Shen:
ADATS: Adaptive RoI-Align based Transformer for End-to-End Text Spotting. ICME 2023: 1403-1408 - [c161]Haiyan Yu, Jianfeng Ren, Ruibin Bai, Linlin Shen:
Optimal Low-Rank QR Decomposition with an Application on RP-TSOD. ICONIP (14) 2023: 462-473 - [c160]Xiaobin Huang, Qiufu Li, Linlin Shen, Xingwei Chen:
CDNet: Cross-frequency Dual-branch Network for Face Anti-Spoofing. IJCNN 2023: 1-9 - [c159]Xinquan Yang, Jinheng Xie, Xuguang Li, Xuechen Li, Xin Li, Linlin Shen, Yongqiang Deng:
TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction. MICCAI (6) 2023: 317-326 - [c158]Songhe Deng, Wei Zhuo, Jinheng Xie, Linlin Shen:
QA-CLIMS: Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation. ACM Multimedia 2023: 5572-5583 - [c157]Kai Ye, Haoqin Ji, Yuan Li, Lei Wang, Peng Liu, Linlin Shen:
CCF-Net: A Cascade Center-Based Framework Towards Efficient Human Parts Detection. MMM (2) 2023: 177-189 - [c156]Qiufu Li, Xi Jia, Jiancan Zhou, Linlin Shen, Jinming Duan:
UniTSFace: Unified Threshold Integrated Sample-to-Sample Loss for Face Recognition. NeurIPS 2023 - [c155]Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou:
Learning Visual Prior via Generative Pre-Training. NeurIPS 2023 - [c154]Yudi Zhang, Wenting Chen, Xuechen Li, Linlin Shen, Zhihui Lai, Heng Kong:
Adversarial Keyword Extraction and Semantic-Spatial Feature Aggregation for Clinical Report Guided Thyroid Nodule Segmentation. PRCV (13) 2023: 235-247 - [c153]Mintu Yang, Xianxu Hou, Hao Li, Linlin Shen, Lixin Fan:
Learning Adapters for Text-Guided Portrait Stylization with Pretrained Diffusion Models. PRCV (1) 2023: 247-258 - [c152]Jingxia Lu, Xianxu Hou, Hao Li, Zhibin Peng, Linlin Shen, Lixin Fan:
MaskDiffuse: Text-Guided Face Mask Removal Based on Diffusion Models. PRCV (6) 2023: 435-446 - [c151]Xiaodong Zhao, Junliang Chen, Zepeng Huang, Linlin Shen:
JLInst: Boundary-Mask Joint Learning for Instance Segmentation. PRCV (12) 2023: 445-457 - [i77]Jun Wan, Jun Liu, Jie Zhou, Zhihui Lai, Linlin Shen, Hang Sun, Ping Xiong, Wenwen Min:
Precise Facial Landmark Detection by Reference Heatmap Transformer. CoRR abs/2303.07840 (2023) - [i76]Zihan Wang, Siyang Song, Cheng Luo, Yuzhi Zhou, Shiling Wu, Weicheng Xie, Linlin Shen:
Spatio-Temporal AU Relational Graph Representation Learning For Facial Action Units Detection. CoRR abs/2303.10644 (2023) - [i75]Jinheng Xie, Zhaochuan Luo, Yuexiang Li, Haozhe Liu, Linlin Shen, Mike Zheng Shou:
Open-World Weakly-Supervised Object Localization. CoRR abs/2304.08271 (2023) - [i74]Lin Huang, Weisheng Li, Linlin Shen, Haojie Fu, Xue Xiao, Suihan Xiao:
YOLOCS: Object Detection based on Dense Channel Compression for Feature Spatial Solidification. CoRR abs/2305.04170 (2023) - [i73]Xinquan Yang, Xuguang Li, Xuechen Li, Wenting Chen, Linlin Shen, Xin Li, Yongqiang Deng:
Two-Stream Regression Network for Dental Implant Position Prediction. CoRR abs/2305.10044 (2023) - [i72]Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou:
VisorGPT: Learning Visual Prior via Generative Pre-Training. CoRR abs/2305.13777 (2023) - [i71]Cheng Luo, Siyang Song, Weicheng Xie, Micol Spitale, Linlin Shen, Hatice Gunes:
ReactFace: Multiple Appropriate Facial Reaction Generation in Dyadic Interactions. CoRR abs/2305.15748 (2023) - [i70]Xinquan Yang, Jinheng Xie, Xuguang Li, Xuechen Li, Xin Li, Linlin Shen, Yongqiang Deng:
TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction. CoRR abs/2306.14406 (2023) - [i69]Jiaqi Xu, Cheng Luo, Weicheng Xie, Linlin Shen, Xiaofeng Liu, Lu Liu, Hatice Gunes, Siyang Song:
MRecGen: Multimodal Appropriate Reaction Generator. CoRR abs/2307.02609 (2023) - [i68]Lin Huang, Weisheng Li, Linlin Shen, Xue Xiao, Suihan Xiao:
High-Performance Fine Defect Detection in Artificial Leather Using Dual Feature Pool Object Detection. CoRR abs/2307.16751 (2023) - [i67]Xinquan Yang, Jinheng Xie, Xuechen Li, Xuguang Li, Linlin Shen, Yongqiang Deng:
TCSloT: Text Guided 3D Context and Slope Aware Triple Network for Dental Implant Position Prediction. CoRR abs/2308.05355 (2023) - [i66]Qiufu Li, Xi Jia, Jiancan Zhou, Linlin Shen, Jinming Duan:
UniTSFace: Unified Threshold Integrated Sample-to-Sample Loss for Face Recognition. CoRR abs/2311.02523 (2023) - [i65]Wenting Chen, Linlin Shen, Xiang Li, Yixuan Yuan:
Fine-Grained Image-Text Alignment in Medical Imaging Enables Cyclic Image-Report Generation. CoRR abs/2312.08078 (2023) - [i64]Leilei Zeng, Xuechen Li, Xinquan Yang, Linlin Shen, Song Wu:
SCPMan: Shape Context and Prior Constrained Multi-scale Attention Network for Pancreatic Segmentation. CoRR abs/2312.15859 (2023) - 2022
- [j103]Qiufu Li, Linlin Shen:
Neuron segmentation using 3D wavelet integrated encoder-decoder network. Bioinform. 38(3): 809-817 (2022) - [j102]Haoqin Ji, Kai Ye, Qi Wan, Linlin Shen:
Reasonable object detection guided by knowledge of global context and category relationship. Expert Syst. Appl. 209: 118285 (2022) - [j101]Wenting Chen, Shuang Yu, Kai Ma, Wei Ji, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng:
TW-GAN: Topology and width aware GAN for retinal artery/vein classification. Medical Image Anal. 77: 102340 (2022) - [j100]Qian Da, Xiaodi Huang, Zhongyu Li, Yanfei Zuo, Chenbin Zhang, Jingxin Liu, Wen Chen, Jiahui Li, Dou Xu, Zhiqiang Hu, Hongmei Yi, Yan Guo, Zhe Wang, Ling Chen, Li Zhang, Xianying He, Xiaofan Zhang, Ke Mei, Chuang Zhu, Weizeng Lu, Linlin Shen, Jun Shi, Jun Li, Sreehari S, Ganapathy Krishnamurthi, Jiangcheng Yang, Tiancheng Lin, Qingyu Song, Xuechen Liu, Simon Graham, Raja Muhammad Saad Bashir, Canqian Yang, Shaofei Qin, Xinmei Tian, Baocai Yin, Jie Zhao, Dimitris N. Metaxas, Hongsheng Li, Chaofu Wang, Shaoting Zhang:
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system. Medical Image Anal. 80: 102485 (2022) - [j99]Zhihao Jin, Xuechen Li, Yudi Zhang, LinLin Shen, Zhihui Lai, Heng Kong:
Boundary regression-based reep neural network for thyroid nodule segmentation in ultrasound images. Neural Comput. Appl. 34(24): 22357-22366 (2022) - [j98]Xianxu Hou, Xiaokang Zhang, Hanbang Liang, Linlin Shen, Zhihui Lai, Jun Wan:
GuidedStyle: Attribute knowledge guided style manipulation for semantic face editing. Neural Networks 145: 209-220 (2022) - [j97]Siyang Song, Shashank Jaiswal, Linlin Shen, Michel F. Valstar:
Spectral Representation of Behaviour Primitives for Depression Analysis. IEEE Trans. Affect. Comput. 13(2): 829-844 (2022) - [j96]Feng Liu, Guojie Liu, Wentian Zhang, Lei Wang, Linlin Shen:
A Novel High-Resolution Fingerprint Representation Method. IEEE Trans. Biom. Behav. Identity Sci. 4(2): 289-300 (2022) - [j95]Changyuan Jiang, Shisong Lin, Wei Chen, Feng Liu, Linlin Shen:
PointFace: Point Cloud Encoder-Based Feature Embedding for 3-D Face Recognition. IEEE Trans. Biom. Behav. Identity Sci. 4(4): 486-497 (2022) - [j94]Weicheng Xie, Haoqian Wu, Yi Tian, Mengchao Bai, Linlin Shen:
Triplet Loss With Multistage Outlier Suppression and Class-Pair Margins for Facial Expression Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(2): 690-703 (2022) - [j93]Haozhe Liu, Wentian Zhang, Feng Liu, Haoqian Wu, Linlin Shen:
Fingerprint Presentation Attack Detector Using Global-Local Model. IEEE Trans. Cybern. 52(11): 12315-12328 (2022) - [j92]Feng Liu, Zhe Kong, Haozhe Liu, Wentian Zhang, Linlin Shen:
Fingerprint Presentation Attack Detection by Channel-Wise Feature Denoising. IEEE Trans. Inf. Forensics Secur. 17: 2963-2976 (2022) - [j91]Yuwu Lu, Wenjing Wang, Biqing Zeng, Zhihui Lai, Linlin Shen, Xuelong Li:
Canonical Correlation Analysis With Low-Rank Learning for Image Representation. IEEE Trans. Image Process. 31: 7048-7062 (2022) - [j90]Xi Jia, Alexander Thorley, Wei Chen, Huaqi Qiu, Linlin Shen, Iain B. Styles, Hyung Jin Chang, Ales Leonardis, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert, Jinming Duan:
Learning a Model-Driven Variational Network for Deformable Image Registration. IEEE Trans. Medical Imaging 41(1): 199-212 (2022) - [j89]Xiaokang Zhang, Yuanlue Zhu, Wenting Chen, Wenshuang Liu, Linlin Shen:
Gated SwitchGAN for Multi-Domain Facial Image Translation. IEEE Trans. Multim. 24: 1990-2003 (2022) - [j88]Bing Li, Yuanlue Zhu, Yitong Wang, Chia-Wen Lin, Bernard Ghanem, Linlin Shen:
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation. IEEE Trans. Multim. 24: 4077-4091 (2022) - [j87]Jianglin Lu, Zhihui Lai, Hailing Wang, Yudong Chen, Jie Zhou, Linlin Shen:
Generalized Embedding Regression: A Framework for Supervised Feature Extraction. IEEE Trans. Neural Networks Learn. Syst. 33(1): 185-199 (2022) - [c150]Xiaoting Huang, Wenjie Chen, Xueting Liu, Huisi Wu, Zhenkun Wen, Linlin Shen:
Left and Right Ventricular Segmentation Based on 3D Region-Aware U-Net. CBMS 2022: 137-142 - [c149]Shuo Liu, Zhihui Lai, Heng Kong, Linlin Shen:
Dual Fusion Mass Detector for Mammogram Mass Detection. CBMS 2022: 149-154 - [c148]Yanjiao Zhao, Zhihui Lai, Linlin Shen, Heng Kong:
Breast Lesions Segmentation using Dual-level UNet (DL-UNet). CBMS 2022: 339-344 - [c147]Siting Zheng, Xuechen Li, Mingmin Bi, Yuxuan Wang, Haiyan Liu, Xiaoshan Feng, Yunping Fan, Linlin Shen:
Contrastive learning-based Adenoid Hypertrophy Grading Network Using Nasoendoscopic Image. CBMS 2022: 377-382 - [c146]Fan Yang, Weicheng Xie, Tao Zhong, Jingyu Hu, Linlin Shen:
Augmented Feature Representation with Parallel Convolution for Cross-domain Facial Expression Recognition. CCBR 2022: 297-306 - [c145]Yudong Li, Yuqing Zhang, Zhe Zhao, Linlin Shen, Weijie Liu, Weiquan Mao, Hui Zhang:
CSL: A Large-scale Chinese Scientific Literature Dataset. COLING 2022: 3917-3923 - [c144]Jinheng Xie, Jianfeng Xiang, Junliang Chen, Xianxu Hou, Xiaodong Zhao, Linlin Shen:
C2 AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation. CVPR 2022: 979-988 - [c143]Jinheng Xie, Xianxu Hou, Kai Ye, Linlin Shen:
CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation. CVPR 2022: 4473-4482 - [c142]Haoqian Wu, Keyu Chen, Yanan Luo, Ruizhi Qiao, Bo Ren, Haozhe Liu, Weicheng Xie, Linlin Shen:
Scene Consistency Representation Learning for Video Scene Segmentation. CVPR 2022: 14001-14010 - [c141]Cheng Luo, Qinliang Lin, Weicheng Xie, Bizhu Wu, Jinheng Xie, Linlin Shen:
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity. CVPR 2022: 15294-15303 - [c140]Jianfeng Xiang, Junliang Chen, Wenshuang Liu, Xianxu Hou, Linlin Shen:
RamGAN: Region Attentive Morphing GAN for Region-Level Makeup Transfer. ECCV (22) 2022: 719-735 - [c139]Bizhu Wu, Mingyan Wu, Haoqin Ji, Linlin Shen:
Which One is Better? Self-supervised Temporal Coherence Learning for Skeleton Based Action Recognition. IJCB 2022: 1-9 - [c138]Meiwei Hao, Yang Yan, Jian Sun, Yongdi Bao, Linlin Shen, Senda Zhang, Junyi Xie:
Research on Power Fault Inference Diagnosis Method based on Knowledge Mapping. ICITEE 2022: 283-287 - [c137]Cheng Luo, Siyang Song, Weicheng Xie, Linlin Shen, Hatice Gunes:
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition. IJCAI 2022: 1239-1246 - [c136]Minmin Liu, Xuechen Li, Xiangbo Gao, Junliang Chen, Linlin Shen, Huisi Wu:
Sample Hardness Based Gradient Loss for Long-Tailed Cervical Cell Detection. MICCAI (2) 2022: 109-119 - [c135]Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng:
Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays. MICCAI (3) 2022: 249-260 - [c134]Yudong Li, Xianxu Hou, Zhe Zhao, Linlin Shen, Xuefeng Yang, Kimmo Yan:
Talk2Face: A Unified Sequence-based Framework for Diverse Face Generation and Analysis Tasks. ACM Multimedia 2022: 4594-4604 - [c133]Ya-Nan Zhang, Linlin Shen, Qiufu Li:
Content and Gradient Model-driven Deep Network for Single Image Reflection Removal. ACM Multimedia 2022: 6802-6812 - [c132]Qiufu Li, Linlin Shen:
WaveSNet: Wavelet Integrated Deep Networks for Image Segmentation. PRCV (4) 2022: 325-337 - [e3]Linlin Shen, Alejandro Rodríguez González, KC Santosh, Zhihui Lai, Rosa Sicilia, João Rafael Almeida, Bridget Kane:
35th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2022, Shenzen, China, July 21-23, 2022. IEEE 2022, ISBN 978-1-6654-6770-4 [contents] - [i63]Xianxu Hou, Linlin Shen, Or Patashnik, Daniel Cohen-Or, Hui Huang:
FEAT: Face Editing with Attention. CoRR abs/2202.02713 (2022) - [i62]Jinheng Xie, Xianxu Hou, Kai Ye, Linlin Shen:
Cross Language Image Matching for Weakly Supervised Semantic Segmentation. CoRR abs/2203.02668 (2022) - [i61]Cheng Luo, Qinliang Lin, Weicheng Xie, Bizhu Wu, Jinheng Xie, Linlin Shen:
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity. CoRR abs/2203.05151 (2022) - [i60]Jinheng Xie, Jianfeng Xiang, Junliang Chen, Xianxu Hou, Xiaodong Zhao, Linlin Shen:
Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation. CoRR abs/2203.13505 (2022) - [i59]Cheng Luo, Siyang Song, Weicheng Xie, Linlin Shen, Hatice Gunes:
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition. CoRR abs/2205.01782 (2022) - [i58]Haoqian Wu, Keyu Chen, Yanan Luo, Ruizhi Qiao, Bo Ren, Haozhe Liu, Weicheng Xie, Linlin Shen:
Scene Consistency Representation Learning for Video Scene Segmentation. CoRR abs/2205.05487 (2022) - [i57]Haozhe Liu, Haoqin Ji, Yuexiang Li, Nanjun He, Haoqian Wu, Feng Liu, Linlin Shen, Yefeng Zheng:
Robust Representation via Dynamic Feature Aggregation. CoRR abs/2205.07466 (2022) - [i56]Junliang Chen, Weizeng Lu, Linlin Shen:
Selective Multi-Scale Learning for Object Detection. CoRR abs/2206.08206 (2022) - [i55]Junliang Chen, Xiaodong Zhao, Linlin Shen:
Delving into the Scale Variance Problem in Object Detection. CoRR abs/2206.08227 (2022) - [i54]Huawei Lin, Haozhe Liu, Qiufu Li, Linlin Shen:
Activation Template Matching Loss for Explainable Face Recognition. CoRR abs/2207.02179 (2022) - [i53]Minmin Liu, Xuechen Li, Xiangbo Gao, Junliang Chen, Linlin Shen, Huisi Wu:
Sample hardness based gradient loss for long-tailed cervical cell detection. CoRR abs/2208.03779 (2022) - [i52]Xiangbo Gao, Weicheng Xie, Minmin Liu, Cheng Luo, Qinliang Lin, Linlin Shen, Keerthy Kusumam, Siyang Song:
Scale-free Photo-realistic Adversarial Pattern Attack. CoRR abs/2208.06222 (2022) - [i51]Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng:
A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays. CoRR abs/2209.01988 (2022) - [i50]Yudong Li, Yuqing Zhang, Zhe Zhao, Linlin Shen, Weijie Liu, Weiquan Mao, Hui Zhang:
CSL: A Large-scale Chinese Scientific Literature Dataset. CoRR abs/2209.05034 (2022) - [i49]Junliang Chen, Xiaodong Zhao, Minmin Liu, Linlin Shen:
SLAM: Semantic Learning based Activation Map for Weakly Supervised Semantic Segmentation. CoRR abs/2210.12417 (2022) - [i48]Junliang Chen, Xiaodong Zhao, Cheng Luo, Linlin Shen:
SemFormer: Semantic Guided Activation Transformer for Weakly Supervised Semantic Segmentation. CoRR abs/2210.14618 (2022) - [i47]Xinquan Yang, Xuguang Li, Xuechen Li, Peixi Wu, Linlin Shen, Xin Li, Yongqiang Deng:
ImplantFormer: Vision Transformer based Implant Position Regression Using Dental CBCT Data. CoRR abs/2210.16467 (2022) - [i46]Siyang Song, Yuxin Song, Cheng Luo, Zhiyuan Song, Selim Kuzucu, Xi Jia, Zhijiang Guo, Weicheng Xie, Linlin Shen, Hatice Gunes:
GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features. CoRR abs/2211.12482 (2022) - [i45]Wei Chen, Xi Jia, Zhongqun Zhang, Hyung Jin Chang, Linlin Shen, Ales Leonardis:
Category-Level 6D Object Pose Estimation with Flexible Vector-Based Rotation Representation. CoRR abs/2212.04632 (2022) - [i44]Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, Han Guo, Weigang Guo, Taiqiang Wu, Tao Zhu, Wenhang Shi, Chen Chen, Shan Huang, Sihong Chen, Liqun Liu, Feifei Li, Xiaoshuai Chen, Xingwu Sun, Zhanhui Kang, Xiaoyong Du, Linlin Shen, Kimmo Yan:
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. CoRR abs/2212.06385 (2022) - 2021
- [j86]Syed Furqan Qadri, Linlin Shen, Mubashir Ahmad, Salman Qadri, Syeda Shamaila Zareen, Salabat Khan:
OP-convNet: A Patch Classification-Based Framework for CT Vertebrae Segmentation. IEEE Access 9: 158227-158240 (2021) - [j85]Yudong Li, Yuqing Zhang, Zhangbing Zhou, Linlin Shen:
Intelligent flow control algorithm for microservice system. Cogn. Comput. Syst. 3(3): 276-285 (2021) - [j84]Qiufu Li, Yu Zhang, Hanbang Liang, Hui Gong, Liang Jiang, Qiong Liu, Linlin Shen:
Deep learning based neuronal soma detection and counting for Alzheimer's disease analysis. Comput. Methods Programs Biomed. 203: 106023 (2021) - [j83]Saqib Qamar, Parvez Ahmad, Linlin Shen:
Dense Encoder-Decoder-Based Architecture for Skin Lesion Segmentation. Cogn. Comput. 13(2): 583-594 (2021) - [j82]Pourya Shamsolmoali, Masoumeh Zareapoor, Linlin Shen, Abdul Hamid Sadka, Jie Yang:
Imbalanced data learning by minority class augmentation using capsule adversarial networks. Neurocomputing 459: 481-493 (2021) - [j81]Jun Wan, Zhihui Lai, Linlin Shen, Jie Zhou, Can Gao, Gang Xiao, Xianxu Hou:
Robust facial landmark detection by cross-order cross-semantic deep network. Neural Networks 136: 233-243 (2021) - [j80]Weicheng Xie, Wenting Chen, Linlin Shen, Jinming Duan, Meng Yang:
Surrogate network-based sparseness hyper-parameter optimization for deep expression recognition. Pattern Recognit. 111: 107701 (2021) - [j79]Zhihui Lai, Zhuozhen Yu, Heng Kong, Linlin Shen:
Two-dimensional jointly sparse robust discriminant regression. Signal Process. Image Commun. 98: 116391 (2021) - [j78]Ning Liu, Zhihui Lai, Xuechen Li, Yudong Chen, Dongmei Mo, Heng Kong, Linlin Shen:
Locality Preserving Robust Regression for Jointly Sparse Subspace Learning. IEEE Trans. Circuits Syst. Video Technol. 31(6): 2274-2287 (2021) - [j77]Yang Zhang, Menglin Cui, Linlin Shen, Zhigang Zeng:
Memristive Quantized Neural Networks: A Novel Approach to Accelerate Deep Learning On-Chip. IEEE Trans. Cybern. 51(4): 1875-1887 (2021) - [j76]Weicheng Xie, Linlin Shen, Jinming Duan:
Adaptive Weighting of Handcrafted Feature Losses for Facial Expression Recognition. IEEE Trans. Cybern. 51(5): 2787-2800 (2021) - [j75]Yang Zhang, Menglin Cui, Linlin Shen, Zhigang Zeng:
Memristive Fuzzy Deep Learning Systems. IEEE Trans. Fuzzy Syst. 29(8): 2224-2238 (2021) - [j74]Feng Liu, Haozhe Liu, Wentian Zhang, Guojie Liu, Linlin Shen:
One-Class Fingerprint Presentation Attack Detection Using Auto-Encoder Network. IEEE Trans. Image Process. 30: 2394-2407 (2021) - [j73]Qiufu Li, Linlin Shen, Sheng Guo, Zhihui Lai:
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification. IEEE Trans. Image Process. 30: 7074-7089 (2021) - [j72]Shisong Lin, Mengchao Bai, Feng Liu, Linlin Shen, Yicong Zhou:
Orthogonalization-Guided Feature Fusion Network for Multimodal 2D+3D Facial Expression Recognition. IEEE Trans. Multim. 23: 1581-1591 (2021) - [c131]Wenshuang Liu, Wenting Chen, Zhanjia Yang, Linlin Shen:
Translate the Facial Regions You Like Using Self-Adaptive Region Translation. AAAI 2021: 2180-2188 - [c130]Bo Huang, Zhiwei Ke, Yi Wang, Wei Wang, Linlin Shen, Feng Liu:
Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles. AAAI 2021: 7823-7831 - [c129]Yuxuan Wang, Xuechen Li, Jingxin Liu, Linlin Shen, Kunming Sun, Suying Wang:
A Contrastive Learning-based PPC-UNet for Colorectal Histopathology Whole Slide Image Segmentation. BIBM 2021: 2072-2079 - [c128]Parvez Ahmad, Saqib Qamar, Linlin Shen, Syed Qasim Afser Rizvi, Aamir Ali, Girija Chetty:
MS UNet: Multi-scale 3D UNet for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2021: 30-41 - [c127]Menglu Zhang, Xuechen Li, Linlin Shen:
Classification and Localization Consistency Regularized Student-Teacher Network for Semi-supervised Cervical Cell Detection. CBMS 2021: 289-294 - [c126]Xiaobin Huang, Jingtian Xia, Linlin Shen:
One-Class Face Anti-spoofing Based on Attention Auto-encoder. CCBR 2021: 365-373 - [c125]Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Linlin Shen, Ales Leonardis:
FS-Net: Fast Shape-Based Network for Category-Level 6D Object Pose Estimation With Decoupled Rotation Mechanism. CVPR 2021: 1581-1590 - [c124]Qi Wan, Haoqin Ji, Linlin Shen:
Self-Attention Based Text Knowledge Mining for Text Detection. CVPR 2021: 5983-5992 - [c123]Junliang Chen, Weizeng Lu, Linlin Shen:
Selective Multi-scale Learning for Object Detection. ICANN (2) 2021: 3-14 - [c122]Changyuan Jiang, Shisong Lin, Wei Chen, Feng Liu, Linlin Shen:
PointFace: Point Set Based Feature Learning for 3D Face Recognition. IJCB 2021: 1-8 - [c121]Shisong Lin, Changyuan Jiang, Feng Liu, Linlin Shen:
High Quality Facial Data Synthesis and Fusion for 3D Low-quality Face Recognition. IJCB 2021: 1-8 - [c120]Zhanjia Yang, Xiangping Zhu, Changyuan Jiang, Wenshuang Liu, Linlin Shen:
RamFace: Race Adaptive Margin Based Face Recognition for Racial Bias Mitigation. IJCB 2021: 1-8 - [c119]Rongdong Li, Qinliang Lin, Yinglong Fu, Weicheng Xie, Linlin Shen:
Imperceptible adversarial attack with entropy feature and segmentation-based constraint. ICCPR 2021: 12-17 - [c118]Jinheng Xie, Cheng Luo, Xiangping Zhu, Ziqi Jin, Weizeng Lu, Linlin Shen:
Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object Localization. ICCV 2021: 132-141 - [c117]Haozhe Liu, Haoqian Wu, Weicheng Xie, Feng Liu, Linlin Shen:
Group-wise Inhibition based Feature Regularization for Robust Classification. ICCV 2021: 468-476 - [c116]Xiaodong Zhao, Junliang Chen, Minmin Liu, Kai Ye, Linlin Shen:
Multi-scale Attention-Based Feature Pyramid Networks for Object Detection. ICIG (1) 2021: 405-417 - [c115]Junliang Chen, Xiaodong Zhao, Linlin Shen:
Delving into the Scale Variance Problem in Object Detection. ICTAI 2021: 902-909 - [c114]Ping Li, Linlin Shen, Hefei Ling, Lei Wu, Qian Wang, Chuang Zhao:
Selective Adversarial Adaptation Learning via Exclusive Regularization for Partial Domain Adaptation. IJCNN 2021: 1-8 - [c113]Yong Wu, Hanbang Liang, Xianxu Hou, Linlin Shen:
GazeFlow: Gaze Redirection with Normalizing Flows. IJCNN 2021: 1-8 - [c112]Jinheng Xie, Jun Wan, Linlin Shen, Zhihui Lai:
Think About Boundary: Fusing Multi-level Boundary Information for Landmark Heatmap Regression. IJCNN 2021: 1-8 - [c111]Hanbang Liang, Xianxu Hou, Linlin Shen:
SSFlow: Style-guided Neural Spline Flows for Face Image Manipulation. ACM Multimedia 2021: 79-87 - [c110]Zilong Shao, Siyang Song, Shashank Jaiswal, Linlin Shen, Michel F. Valstar, Hatice Gunes:
Personality Recognition by Modelling Person-specific Cognitive Processes using Graph Representation. ACM Multimedia 2021: 357-366 - [e2]João Rafael Almeida, Alejandro Rodríguez González, Linlin Shen, Bridget Kane, Agma J. M. Traina, Paolo Soda, José Luís Oliveira:
34th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2021, Aveiro, Portugal, June 7-9, 2021. IEEE 2021, ISBN 978-1-6654-4121-6 [contents] - [i43]Bing Li, Yuanlue Zhu, Yitong Wang, Chia-Wen Lin, Bernard Ghanem, Linlin Shen:
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation. CoRR abs/2102.12593 (2021) - [i42]Luyan Liu, Zhiwei Wen, Songwei Liu, Hong-Yu Zhou, Hongwei Zhu, Weicheng Xie, Linlin Shen, Kai Ma, Yefeng Zheng:
MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures. CoRR abs/2102.13280 (2021) - [i41]Haozhe Liu, Haoqian Wu, Weicheng Xie, Feng Liu, Linlin Shen:
Group-wise Inhibition based Feature Regularization for Robust Classification. CoRR abs/2103.02152 (2021) - [i40]Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Linlin Shen, Ales Leonardis:
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism. CoRR abs/2103.07054 (2021) - [i39]Xi Jia, Alexander Thorley, Wei Chen, Huaqi Qiu, Linlin Shen, Iain B. Styles, Hyung Jin Chang, Ales Leonardis, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert, Jinming Duan:
Learning a Model-Driven Variational Network for Deformable Image Registration. CoRR abs/2105.12227 (2021) - [i38]Qiufu Li, Linlin Shen:
3D WaveUNet: 3D Wavelet Integrated Encoder-Decoder Network for Neuron Segmentation. CoRR abs/2106.00259 (2021) - [i37]Zhongliang Li, Zhihao Jin, Xuechen Li, Linlin Shen:
Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis. CoRR abs/2106.12313 (2021) - [i36]Qiufu Li, Linlin Shen, Sheng Guo, Zhihui Lai:
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification. CoRR abs/2107.13335 (2021) - [i35]Haozhe Liu, Zhe Kong, Raghavendra Ramachandra, Feng Liu, Linlin Shen, Christoph Busch:
Taming Self-Supervised Learning for Presentation Attack Detection: In-Image De-Folding and Out-of-Image De-Mixing. CoRR abs/2109.04100 (2021) - [i34]Haozhe Liu, Hanbang Liang, Xianxu Hou, Haoqian Wu, Feng Liu, Linlin Shen:
Manifold-preserved GANs. CoRR abs/2109.08955 (2021) - [i33]Jinheng Xie, Cheng Luo, Xiangping Zhu, Ziqi Jin, Weizeng Lu, Linlin Shen:
Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object Localization. CoRR abs/2110.05741 (2021) - [i32]Siyang Song, Zilong Shao, Shashank Jaiswal, Linlin Shen, Michel F. Valstar, Hatice Gunes:
Learning Graph Representation of Person-specific Cognitive Processes from Audio-visual Behaviours for Automatic Personality Recognition. CoRR abs/2110.13570 (2021) - [i31]Feng Liu, Zhe Kong, Haozhe Liu, Wentian Zhang, Linlin Shen:
Fingerprint Presentation Attack Detection by Channel-wise Feature Denoising. CoRR abs/2111.07620 (2021) - [i30]Wentian Zhang, Haozhe Liu, Raghavendra Ramachandra, Feng Liu, Linlin Shen, Christoph Busch:
Face Presentation Attack Detection using Taskonomy Feature. CoRR abs/2111.11046 (2021) - [i29]Xiaokang Zhang, Yuanlue Zhu, Wenting Chen, Wenshuang Liu, Linlin Shen:
Gated SwitchGAN for multi-domain facial image translation. CoRR abs/2111.14096 (2021) - 2020
- [j71]Xuechen Li, Linlin Shen, Xinpeng Xie, Shiyun Huang, Zhien Xie, Xian Hong, Juan Yu:
Multi-resolution convolutional networks for chest X-ray radiograph based lung nodule detection. Artif. Intell. Medicine 103: 101744 (2020) - [j70]Feng Liu, Guojie Liu, Qijun Zhao, Linlin Shen:
Robust and high-security fingerprint recognition system using optical coherence tomography. Neurocomputing 402: 14-28 (2020) - [j69]Feng Liu, Yuanhao Zhao, Guojie Liu, Linlin Shen:
Fingerprint pore matching using deep features. Pattern Recognit. 102: 107208 (2020) - [j68]Meng Yang, Wei Wen, Xing Wang, Linlin Shen, Guangwei Gao:
Adaptive Convolution Local and Global Learning for Class-Level Joint Representation of Facial Recognition With a Single Sample Per Data Subject. IEEE Trans. Inf. Forensics Secur. 15: 2469-2484 (2020) - [j67]Qiufu Li, Linlin Shen:
3D Neuron Reconstruction in Tangled Neuronal Image With Deep Networks. IEEE Trans. Medical Imaging 39(2): 425-435 (2020) - [j66]Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [j65]Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu:
Attention by Selection: A Deep Selective Attention Approach to Breast Cancer Classification. IEEE Trans. Medical Imaging 39(6): 1930-1941 (2020) - [c109]Zhiwei Ke, Zhiwei Wen, Weicheng Xie, Yi Wang, Linlin Shen:
Group-Wise Dynamic Dropout Based on Latent Semantic Variations. AAAI 2020: 11229-11236 - [c108]Haoqin Ji, Weizeng Lu, Linlin Shen:
Backbone Based Feature Enhancement for Object Detection. ACCV (3) 2020: 56-70 - [c107]Saqib Qamar, Parvez Ahmad, Linlin Shen:
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 50-57 - [c106]Parvez Ahmad, Saqib Qamar, Linlin Shen, Adnan Saeed:
Context Aware 3D UNet for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2020: 207-218 - [c105]Zhihao Jin, Xuechen Li, Linlin Shen, Jinyi Lang, Jie Li, Junxiang Wu, Peng Xu, Jiang Duan:
Automatic Primary Gross Tumor Volume Segmentation for Nasopharyngeal Carcinoma using ResSE-UNet. CBMS 2020: 585-590 - [c104]Qiufu Li, Linlin Shen, Sheng Guo, Zhihui Lai:
Wavelet Integrated CNNs for Noise-Robust Image Classification. CVPR 2020: 7243-7252 - [c103]Weizeng Lu, Xi Jia, Weicheng Xie, Linlin Shen, Yicong Zhou, Jinming Duan:
Geometry Constrained Weakly Supervised Object Localization. ECCV (26) 2020: 481-496 - [c102]Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation. ECCV (20) 2020: 498-513 - [c101]Xi Zhang, Junliang Chen, Weicheng Xie, Linlin Shen:
Feature map masking based single-stage face detection. IJCB 2020: 1-7 - [c100]Jingtian Xia, Siyang Song, Yan Tang, Linlin Shen:
Analyzing Facial Temporal Patterns for Face Anti-Spoofing. ICCPR 2020: 200-207 - [c99]Menglu Zhang, Linlin Shen:
Cervical Cell Detection Benchmark with Effective Feature Representation. ICCSIP 2020: 402-413 - [c98]Mingyan Wu, Xi Zhang, Linlin Shen, Hang Yu:
Pose-aware Multi-feature Fusion Network for Driver Distraction Recognition. ICPR 2020: 1228-1235 - [c97]Wenshuang Liu, Wenting Chen, Yuanlue Zhu, Linlin Shen:
SATGAN: Augmenting Age Biased Dataset for Cross-Age Face Recognition. ICPR 2020: 1368-1375 - [c96]Siyang Song, Enrique Sanchez, Linlin Shen, Michel F. Valstar:
Self-supervised learning of Dynamic Representations for Static Images. ICPR 2020: 1619-1626 - [c95]Pan Gao, Qi Wan, Renwu Gao, LinLin Shen:
Feature Embedding Based Text Instance Grouping for Largely Spaced and Occluded Text Detection. ICPR 2020: 1709-1716 - [c94]Weizeng Lu, Xi Jia, Wei Chen, Nicoló Savioli, Antonio de Marvao, Linlin Shen, Declan P. O'Regan, Jinming Duan:
One-stage Multi-task Detector for 3D Cardiac MR Imaging. ICPR 2020: 1949-1955 - [c93]Zhiwei Wen, Haoqian Wu, Weicheng Xie, Linlin Shen:
Group-wise Feature Orthogonalization and Suppression for GAN based Facial Attribute Translation. ICPR 2020: 3767-3774 - [c92]Pan Gao, Qi Wan, Linlin Shen:
Split and Merge: Component Based Segmentation Network for Text Detection. ICPRAI 2020: 14-27 - [c91]Renwu Gao, Siting Zheng, Jia He, Linlin Shen:
CycleGAN-Based Image Translation for Near-Infrared Camera-Trap Image Recognition. ICPRAI 2020: 453-464 - [c90]Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
Instance-Aware Self-supervised Learning for Nuclei Segmentation. MICCAI (5) 2020: 341-350 - [c89]Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
MI2GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint. MICCAI (2) 2020: 516-525 - [c88]Wenting Chen, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng:
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification. MICCAI (5) 2020: 616-625 - [i28]Pourya Shamsolmoali, Masoumeh Zareapoor, Linlin Shen, Abdul Hamid Sadka, Jie Yang:
Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks. CoRR abs/2004.02182 (2020) - [i27]Qiufu Li, Linlin Shen, Sheng Guo, Zhihui Lai:
Wavelet Integrated CNNs for Noise-Robust Image Classification. CoRR abs/2005.03337 (2020) - [i26]Qiufu Li, Linlin Shen:
WaveSNet: Wavelet Integrated Deep Networks for Image Segmentation. CoRR abs/2005.14461 (2020) - [i25]Weizeng Lu, Xi Jia, Weicheng Xie, Linlin Shen, Yicong Zhou, Jinming Duan:
Geometry Constrained Weakly Supervised Object Localization. CoRR abs/2007.09727 (2020) - [i24]Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint. CoRR abs/2007.11180 (2020) - [i23]Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
Instance-aware Self-supervised Learning for Nuclei Segmentation. CoRR abs/2007.11186 (2020) - [i22]Wenshuang Liu, Wenting Chen, Linlin Shen:
Translate the Facial Regions You Like Using Region-Wise Normalization. CoRR abs/2007.14615 (2020) - [i21]Wenting Chen, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng:
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification. CoRR abs/2007.14852 (2020) - [i20]Jinheng Xie, Jun Wan, Linlin Shen, Zhihui Lai:
Think about boundary: Fusing multi-level boundary information for landmark heatmap regression. CoRR abs/2008.10924 (2020) - [i19]Parvez Ahmad, Saqib Qamar, Linlin Shen, Adnan Saeed:
Context Aware 3D UNet for Brain Tumor Segmentation. CoRR abs/2010.13082 (2020) - [i18]Jun Wan, Zhihui Lai, Linlin Shen, Jie Zhou, Can Gao, Gang Xiao, Xianxu Hou:
Robust Facial Landmark Detection by Cross-order Cross-semantic Deep Network. CoRR abs/2011.07777 (2020) - [i17]Saqib Qamar, Parvez Ahmad, Linlin Shen:
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation. CoRR abs/2012.06760 (2020) - [i16]Xianxu Hou, Xiaokang Zhang, Linlin Shen, Zhihui Lai, Jun Wan:
GuidedStyle: Attribute Knowledge Guided Style Manipulation for Semantic Face Editing. CoRR abs/2012.11856 (2020)
2010 – 2019
- 2019
- [j64]Zhihui Lai, Ning Liu, Linlin Shen, Heng Kong:
Robust Locally Discriminant Analysis via Capped Norm. IEEE Access 7: 4641-4652 (2019) - [j63]Xuechen Li, Linlin Shen, Meixiao Shen, Connor S. Qiu:
Integrating Handcrafted and Deep Features for Optical Coherence Tomography Based Retinal Disease Classification. IEEE Access 7: 33771-33777 (2019) - [j62]Yuexiang Li, Xinpeng Xie, Linlin Shen, Shaoxiong Liu:
Reverse active learning based atrous DenseNet for pathological image classification. BMC Bioinform. 20(1): 445:1-445:15 (2019) - [j61]Jiancan Zhou, Xi Jia, Linlin Shen, Zhenkun Wen, Zhong Ming:
Improved softmax loss for deep learning-based face and expression recognition. Cogn. Comput. Syst. 1(4): 97-102 (2019) - [j60]Yuexiang Li, Linlin Shen:
HEp-Net: a smaller and better deep-learning network for HEp-2 cell classification. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7(3): 266-272 (2019) - [j59]Xianxu Hou, Ke Sun, Linlin Shen, Guoping Qiu:
Improving variational autoencoder with deep feature consistent and generative adversarial training. Neurocomputing 341: 183-194 (2019) - [j58]Yang Zhang, Menglin Cui, Yang Liu, Linlin Shen:
Hybrid CMOS-Memristive Convolutional computation for on-chip learning. Neurocomputing 355: 48-56 (2019) - [j57]Xuechen Li, Linlin Shen, Meixiao Shen, Fan Tan, Connor S. Qiu:
Deep learning based early stage diabetic retinopathy detection using optical coherence tomography. Neurocomputing 369: 134-144 (2019) - [j56]Xiao-Li Hu, Jiajun Wen, Zhihui Lai, Wai Keung Wong, Linlin Shen:
Binary sparse signal recovery algorithms based on logic observation. Pattern Recognit. 90: 147-160 (2019) - [j55]Weicheng Xie, Xi Jia, Linlin Shen, Meng Yang:
Sparse deep feature learning for facial expression recognition. Pattern Recognit. 96 (2019) - [j54]Chunyan Xu, Jian Yang, Hanjiang Lai, Junbin Gao, Linlin Shen, Shuicheng Yan:
UP-CNN: Un-pooling augmented convolutional neural network. Pattern Recognit. Lett. 119: 34-40 (2019) - [j53]Zhihui Lai, Dongmei Mo, Jiajun Wen, Linlin Shen, Wai Keung Wong:
Generalized Robust Regression for Jointly Sparse Subspace Learning. IEEE Trans. Circuits Syst. Video Technol. 29(3): 756-772 (2019) - [j52]Yuwu Lu, Chun Yuan, Xuelong Li, Zhihui Lai, David Zhang, Linlin Shen:
Structurally Incoherent Low-Rank 2DLPP for Image Classification. IEEE Trans. Circuits Syst. Video Technol. 29(6): 1701-1714 (2019) - [c87]Zhiwei Wen, Zhiwei Ke, Weicheng Xie, Linlin Shen:
Clustering-Based Adaptive Dropout for CNN-Based Classification. ACPR (1) 2019: 46-58 - [c86]Zhongliang Li, Juan Yu, Xuechen Li, Yingqi Li, Weicai Dai, Linlin Shen, Lisha Mou, Zuhui Pu:
PNet: An Efficient Network for Pneumonia Detection. CISP-BMEI 2019: 1-5 - [c85]Shisong Lin, Xiaodong Zhuang, Shiyun Huang, Yahui Liu, Linlin Shen, Xinxue Liao:
Face Analysis for Coronary Heart Disease Diagnosis. CISP-BMEI 2019: 1-5 - [c84]Parvez Ahmad, Saqib Qamar, Seyed Raein Hashemi, Linlin Shen:
Hybrid Labels for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2019: 158-166 - [c83]Jingtian Xia, Yan Tang, Xi Jia, Linlin Shen, Zhihui Lai:
Latent Spatial Features Based on Generative Adversarial Networks for Face Anti-spoofing. CCBR 2019: 240-249 - [c82]Shisong Lin, Feng Liu, Yahui Liu, Linlin Shen:
Local Feature Tensor Based Deep Learning for 3D Face Recognition. FG 2019: 1-5 - [c81]Yuan Liu, Xi Jia, Linlin Shen, Zhong Ming, Jinming Duan:
Local Normalization Based BN Layer Pruning. ICANN (2) 2019: 334-346 - [c80]Siyang Song, Enrique Sánchez-Lozano, Mani Kumar Tellamekala, Linlin Shen, Alan Johnston, Michel F. Valstar:
Dynamic Facial Models for Video-Based Dimensional Affect Estimation. ICCV Workshops 2019: 1608-1617 - [c79]Mengchao Bai, Weicheng Xie, Linlin Shen:
Disentangled Feature Based Adversarial Learning for Facial Expression Recognition. ICIP 2019: 31-35 - [c78]Yi Tian, Zhiwei Wen, Weicheng Xie, Xi Zhang, Linlin Shen, Jinming Duan:
Outlier-Suppressed Triplet Loss with Adaptive Class-Aware Margins for Facial Expression Recognition. ICIP 2019: 46-50 - [c77]Yuanhao Zhao, Guojie Liu, Feng Liu, Linlin Shen, Qin Li:
DEEPPOREID: An Effective Pore Representation Descriptor in Direct Pore Matching. ICIP 2019: 1690-1694 - [c76]Wenting Chen, Linlin Shen, Zhihui Lai:
Introspective Gan for Meshface Recognition. ICIP 2019: 3472-3476 - [c75]Yuanlue Zhu, Mengchao Bai, Linlin Shen, Zhiwei Wen:
SwitchGAN for Multi-domain Facial Image Translation. ICME 2019: 1198-1203 - [c74]Jingxin Liu, Libo Liu, Bolei Xu, Xianxu Hou, Bozhi Liu, Xin Chen, Linlin Shen, Guoping Qiu:
Bladder Cancer Multi-Class Segmentation in MRI With Pyramid-In-Pyramid Network. ISBI 2019: 28-31 - [c73]Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu:
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification. ISBI 2019: 914-918 - [c72]Mengchao Bai, Xi Jia, Weicheng Xie, Linlin Shen:
Adversarial Feature Distillation for Facial Expression Recognition. PRICAI (3) 2019: 80-92 - [c71]Wenting Chen, Xinpeng Xie, Xi Jia, Linlin Shen:
Texture Deformation Based Generative Adversarial Networks for Multi-domain Face Editing. PRICAI (1) 2019: 257-269 - [i15]Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu:
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification. CoRR abs/1902.10946 (2019) - [i14]Siyang Song, Enrique Sánchez-Lozano, Linlin Shen, Alan Johnston, Michel F. Valstar:
Inferring Dynamic Representations of Facial Actions from a Still Image. CoRR abs/1904.02382 (2019) - [i13]Xianxu Hou, Ke Sun, Linlin Shen, Guoping Qiu:
Improving Variational Autoencoder with Deep Feature Consistent and Generative Adversarial Training. CoRR abs/1906.01984 (2019) - 2018
- [j51]Yuexiang Li, Linlin Shen:
cC-GAN: A Robust Transfer-Learning Framework for HEp-2 Specimen Image Segmentation. IEEE Access 6: 14048-14058 (2018) - [j50]Xianxu Hou, Jiasong Zhu, Ke Sun, Linlin Shen, Guoping Qiu:
Object Specific Deep Feature for Face Detection. IEICE Trans. Inf. Syst. 101-D(5): 1270-1277 (2018) - [j49]Weicheng Xie, Jinming Duan, Linlin Shen, Yuexiang Li, Meng Yang, Guojun Lin:
Open snake model based on global guidance field for embryo vessel location. IET Comput. Vis. 12(2): 129-137 (2018) - [j48]Di Chen, Chunyan Xu, Jian Yang, Jianjun Qian, Yuhui Zheng, Linlin Shen:
Joint Bayesian guided metric learning for end-to-end face verification. Neurocomputing 275: 560-567 (2018) - [j47]Guojun Lin, Meng Yang, Linlin Shen, Mingzhong Yang, Mei Xie:
Robust and discriminative dictionary learning for face recognition. Int. J. Wavelets Multiresolution Inf. Process. 16(2): 1840004:1-1840004:16 (2018) - [j46]Weicheng Xie, Linlin Shen, Meng Yang, Jianmin Jiang:
Facial expression synthesis with direction field preservation based mesh deformation and lighting fitting based wrinkle mapping. Multim. Tools Appl. 77(6): 7565-7593 (2018) - [j45]Guojun Lin, Meng Yang, Jian Yang, Linlin Shen, Weicheng Xie:
Robust, discriminative and comprehensive dictionary learning for face recognition. Pattern Recognit. 81: 341-356 (2018) - [j44]Linlin Shen, Xi Jia, Yuexiang Li:
Deep cross residual network for HEp-2 cell staining pattern classification. Pattern Recognit. 82: 68-78 (2018) - [j43]Yuexiang Li, Linlin Shen:
Skin Lesion Analysis towards Melanoma Detection Using Deep Learning Network. Sensors 18(2): 556 (2018) - [j42]Sen Jia, Linlin Shen, Jiasong Zhu, Qingquan Li:
A 3-D Gabor Phase-Based Coding and Matching Framework for Hyperspectral Imagery Classification. IEEE Trans. Cybern. 48(4): 1176-1188 (2018) - [j41]Xuechen Li, Linlin Shen, Suhuai Luo:
A Solitary Feature-Based Lung Nodule Detection Approach for Chest X-Ray Radiographs. IEEE J. Biomed. Health Informatics 22(2): 516-524 (2018) - [j40]Yudong Chen, Zhihui Lai, Wai Keung Wong, Linlin Shen, Qinghua Hu:
Low-Rank Linear Embedding for Image Recognition. IEEE Trans. Multim. 20(12): 3212-3222 (2018) - [c70]Yuanhao Zhao, Feng Liu, Linlin Shen:
Fingerprint Pore Extraction Using Convolutional Neural Networks and Logical Operation. CCBR 2018: 38-47 - [c69]Yan Tang, Xing Wang, Xi Jia, Linlin Shen:
Fusing Multiple Deep Features for Face Anti-spoofing. CCBR 2018: 321-330 - [c68]Siyang Song, Linlin Shen, Michel F. Valstar:
Human Behaviour-Based Automatic Depression Analysis Using Hand-Crafted Statistics and Deep Learned Spectral Features. FG 2018: 158-165 - [c67]Guohang Zeng, Jiancan Zhou, Xi Jia, Weicheng Xie, Linlin Shen:
Hand-Crafted Feature Guided Deep Learning for Facial Expression Recognition. FG 2018: 423-430 - [c66]Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang:
A Self-Organizing Tensor Architecture for Multi-view Clustering. ICDM 2018: 1007-1012 - [c65]Wei Wen, Xing Wang, Linlin Shen, Meng Yang:
Adaptive convolution local and global learning for class-level joint representation of face recognition with single sample per person. ICPR 2018: 3537-3542 - [c64]Yuexiang Li, Xinpeng Xie, Shaoxiong Liu, Xuechen Li, Linlin Shen:
GT-Net: A Deep Learning Network for Gastric Tumor Diagnosis. ICTAI 2018: 20-24 - [c63]Siyang Song, Shuimei Zhang, Björn W. Schuller, Linlin Shen, Michel F. Valstar:
Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification. IJCNN 2018: 1-8 - [c62]Yuexiang Li, Xuechen Li, Xinpeng Xie, Linlin Shen:
Deep learning based gastric cancer identification. ISBI 2018: 182-185 - [c61]Xuechen Li, Linlin Shen, Jiang Duan:
Optic Disc and Fovea Detection Using Multi-Stage Region-Based Convolutional Neural Network. ISICDM 2018: 7-11 - [c60]Xinpeng Xie, Yuexiang Li, Menglu Zhang, Linlin Shen:
Robust Segmentation of Nucleus in Histopathology Images via Mask R-CNN. BrainLes@MICCAI (1) 2018: 428-436 - [i12]Xinpeng Xie, Yuexiang Li, Linlin Shen:
Active Learning for Breast Cancer Identification. CoRR abs/1804.06670 (2018) - [i11]Siyang Song, Shuimei Zhang, Björn W. Schuller, Linlin Shen, Michel F. Valstar:
Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification. CoRR abs/1805.01259 (2018) - [i10]Yuexiang Li, Xinpeng Xie, Linlin Shen, Shaoxiong Liu:
Reversed Active Learning based Atrous DenseNet for Pathological Image Classification. CoRR abs/1807.02420 (2018) - [i9]Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang:
A Self-Organizing Tensor Architecture for Multi-View Clustering. CoRR abs/1810.07874 (2018) - [i8]Wenting Chen, Xinpeng Xie, Xi Jia, Linlin Shen:
Texture Deformation Based Generative Adversarial Networks for Face Editing. CoRR abs/1812.09832 (2018) - 2017
- [j39]Shiqi Yu, Haifeng Chen, Qing Wang, Linlin Shen, Yongzhen Huang:
Invariant feature extraction for gait recognition using only one uniform model. Neurocomputing 239: 81-93 (2017) - [j38]Meng Yang, Xing Wang, Weiyang Liu, Linlin Shen:
Joint regularized nearest points for image set based face recognition. Image Vis. Comput. 58: 47-60 (2017) - [j37]Meng Yang, Xing Wang, Guohang Zeng, Linlin Shen:
Joint and collaborative representation with local adaptive convolution feature for face recognition with single sample per person. Pattern Recognit. 66: 117-128 (2017) - [j36]Weicheng Xie, Linlin Shen, Meng Yang, Zhihui Lai:
Active AU Based Patch Weighting for Facial Expression Recognition. Sensors 17(2): 275 (2017) - [j35]Zhihui Lai, Yong Xu, Jian Yang, Linlin Shen, David Zhang:
Rotational Invariant Dimensionality Reduction Algorithms. IEEE Trans. Cybern. 47(11): 3733-3746 (2017) - [j34]Yuexiang Li, Linlin Shen, Shiqi Yu:
HEp-2 Specimen Image Segmentation and Classification Using Very Deep Fully Convolutional Network. IEEE Trans. Medical Imaging 36(7): 1561-1572 (2017) - [j33]Weicheng Xie, Linlin Shen, Jianmin Jiang:
A Novel Transient Wrinkle Detection Algorithm and Its Application for Expression Synthesis. IEEE Trans. Multim. 19(2): 279-292 (2017) - [j32]Baochang Zhang, Zhigang Li, Xianbin Cao, Qixiang Ye, Chen Chen, Linlin Shen, Alessandro Perina, Rongrong Ji:
Output Constraint Transfer for Kernelized Correlation Filter in Tracking. IEEE Trans. Syst. Man Cybern. Syst. 47(4): 693-703 (2017) - [c59]Jiancan Zhou, Yuexiang Li, Xiande Zhou, Linlin Shen:
Positive and negative HEp-2 image classification fusing global and local features. CISP-BMEI 2017: 1-5 - [c58]Jiancan Zhou, Guohang Zeng, Jia He, Xi Jia, Linlin Shen:
Synthesis and Recognition of Internet Celebrity Face Based on Deep Learning. CCBR 2017: 145-153 - [c57]Feng Liu, Yuanhao Zhao, Linlin Shen:
Feature Guided Fingerprint Pore Matching. CCBR 2017: 334-343 - [c56]Mian Li, Weicheng Xie, Linlin Shen:
Fusing 3D Gabor and Block-Wise Spatial Features for Hyperspectral Palmprint Recognition. CCBR 2017: 361-369 - [c55]Lifang He, Chun-Ta Lu, Hao Ding, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin:
Multi-way Multi-level Kernel Modeling for Neuroimaging Classification. CVPR 2017: 6846-6854 - [c54]Sen Jia, Huimin Xie, Lin Deng, Linlin Shen:
Gabor phase feature-based hyperspectral imagery classification. ICME 2017: 1291-1296 - [c53]Lifang He, Chun-Ta Lu, Guixiang Ma, Shen Wang, LinLin Shen, Philip S. Yu, Ann B. Ragin:
Kernelized Support Tensor Machines. ICML 2017: 1442-1451 - [c52]Jingxin Liu, Bolei Xu, LinLin Shen, Jon Garibaldi, Guoping Qiu:
HEp-2 cell classification based on a Deep Autoencoding-Classification convolutional neural network. ISBI 2017: 1019-1023 - [c51]Yuexiang Li, Linlin Shen:
A Deep Residual Inception Network for HEp-2 Cell Classification. DLMIA/ML-CDS@MICCAI 2017: 12-20 - [c50]Yuexiang Li, Linlin Shen:
Deep Learning Based Multimodal Brain Tumor Diagnosis. BrainLes@MICCAI 2017: 149-158 - [c49]Xianxu Hou, Jiasong Zhu, Ke Sun, LinLin Shen, Guoping Qiu:
Object specific deep feature and its application to face detection. MVA 2017: 173-176 - [c48]Xianxu Hou, LinLin Shen, Ke Sun, Guoping Qiu:
Deep Feature Consistent Variational Autoencoder. WACV 2017: 1133-1141 - [e1]Jie Zhou, Yunhong Wang, Zhenan Sun, Yong Xu, Linlin Shen, Jianjiang Feng, Shiguang Shan, Yu Qiao, Zhenhua Guo, Shiqi Yu:
Biometric Recognition - 12th Chinese Conference, CCBR 2017, Shenzhen, China, October 28-29, 2017, Proceedings. Lecture Notes in Computer Science 10568, Springer 2017, ISBN 978-3-319-69922-6 [contents] - [i7]Yuexiang Li, Linlin Shen:
Skin Lesion Analysis Towards Melanoma Detection Using Deep Learning Network. CoRR abs/1703.00577 (2017) - [i6]Xi Jia, Linlin Shen:
Skin Lesion Classification using Class Activation Map. CoRR abs/1703.01053 (2017) - 2016
- [j31]Xianbiao Qi, Guoying Zhao, Linlin Shen, Qingquan Li, Matti Pietikäinen:
LOAD: Local orientation adaptive descriptor for texture and material classification. Neurocomputing 184: 28-35 (2016) - [j30]Yujuan Sun, Muwei Jian, Xiaofeng Zhang, Junyu Dong, Linlin Shen, Beijing Chen:
Reconstruction of normal and albedo of convex Lambertian objects by solving ambiguity matrices using SVD and optimization method. Neurocomputing 207: 95-104 (2016) - [j29]Xing Wang, Meng Yang, Linlin Shen:
Structured regularized robust coding for face recognition. Neurocomputing 216: 18-27 (2016) - [j28]Lei Wang, Baochang Zhang, Jungong Han, Linlin Shen, Chengshan Qian:
Robust object representation by boosting-like deep learning architecture. Signal Process. Image Commun. 47: 490-499 (2016) - [j27]Sen Jia, Jie Hu, Yao Xie, LinLin Shen, Xiuping Jia, Qingquan Li:
Gabor Cube Selection Based Multitask Joint Sparse Representation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 54(6): 3174-3187 (2016) - [c47]Meng Yang, Weiyang Liu, Weixin Luo, Linlin Shen:
Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification. AAAI 2016: 2251-2257 - [c46]Guojun Lin, Meng Yang, Linlin Shen, Weicheng Xie, Zhonglong Zheng:
Sample Diversity, Discriminative and Comprehensive Dictionary Learning for Face Recognition. CCBR 2016: 102-111 - [c45]Xi Jia, LinLin Shen, Xiande Zhou, Shiqi Yu:
Deep convolutional neural network based HEp-2 cell classification. ICPR 2016: 77-80 - [c44]Yuexiang Li, LinLin Shen, Xiande Zhou, Shiqi Yu:
HEp-2 specimen classification with fully convolutional network. ICPR 2016: 96-100 - [c43]Shiqi Yu, Qing Wang, LinLin Shen, Yongzhen Huang:
View invariant gait recognition using only one uniform model. ICPR 2016: 889-894 - [c42]Lifang He, Chun-Ta Lu, Jiaqi Ma, Jianping Cao, Linlin Shen, Philip S. Yu:
Joint Community and Structural Hole Spanner Detection via Harmonic Modularity. KDD 2016: 875-884 - [c41]Jingxin Liu, Guoping Qiu, LinLin Shen:
Luminance Adaptive Biomarker Detection in Digital Pathology Images. MIUA 2016: 113-118 - [c40]Guixiang Ma, Lifang He, Chun-Ta Lu, Philip S. Yu, Linlin Shen, Ann B. Ragin:
Spatio-Temporal Tensor Analysis for Whole-Brain fMRI Classification. SDM 2016: 819-827 - [i5]Xianxu Hou, Ke Sun, Linlin Shen, Guoping Qiu:
Object Specific Deep Learning Feature and Its Application to Face Detection. CoRR abs/1609.01366 (2016) - [i4]Xianxu Hou, LinLin Shen, Ke Sun, Guoping Qiu:
Deep Feature Consistent Variational Autoencoder. CoRR abs/1610.00291 (2016) - [i3]Baochang Zhang, Zhigang Li, Xianbin Cao, Qixiang Ye, Chen Chen, LinLin Shen, Alessandro Perina, Rongrong Ji:
Output Constraint Transfer for Kernelized Correlation Filter in Tracking. CoRR abs/1612.05365 (2016) - 2015
- [j26]Meng Yang, Pengfei Zhu, Feng Liu, Linlin Shen:
Joint representation and pattern learning for robust face recognition. Neurocomputing 168: 70-80 (2015) - [j25]Feng Liu, David Zhang, LinLin Shen:
Study on novel Curvature Features for 3D fingerprint recognition. Neurocomputing 168: 599-608 (2015) - [j24]Zexuan Zhu, Sen Jia, Shan He, Yiwen Sun, Zhen Ji, LinLin Shen:
Three-dimensional Gabor feature extraction for hyperspectral imagery classification using a memetic framework. Inf. Sci. 298: 274-287 (2015) - [j23]Xianbiao Qi, LinLin Shen, Guoying Zhao, Qingquan Li, Matti Pietikäinen:
Globally rotation invariant multi-scale co-occurrence local binary pattern. Image Vis. Comput. 43: 16-26 (2015) - [j22]Xiaole Shen, Qingquan Li, Yingjie Tian, LinLin Shen:
An Uneven Illumination Correction Algorithm for Optical Remote Sensing Images Covered with Thin Clouds. Remote. Sens. 7(9): 11848-11862 (2015) - [j21]Muwei Jian, Kin-Man Lam, Junyu Dong, Linlin Shen:
Visual-Patch-Attention-Aware Saliency Detection. IEEE Trans. Cybern. 45(8): 1575-1586 (2015) - [j20]Sen Jia, LinLin Shen, Qingquan Li:
Gabor Feature-Based Collaborative Representation for Hyperspectral Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 53(2): 1118-1129 (2015) - [c39]Xing Wang, Meng Yang, LinLin Shen, Heyou Chang:
Robust local representation for face recognition with single sample per person. ACPR 2015: 11-15 - [c38]Meng Yang, Tiancheng Song, Shiqi Yu, Linlin Shen:
Local Variation Joint Representation for Face Recognition with Single Sample per Person. CCCV (2) 2015: 41-50 - [c37]Meng Yang, Tiancheng Song, Feng Liu, Linlin Shen:
Structured Regularized Robust Coding for Face Recognition. CCCV (2) 2015: 80-89 - [c36]Feng Liu, Linlin Shen, David Zhang:
Feature-Based 3D Reconstruction Model for Close-Range Objects and Its Application to Human Finger. CCCV (2) 2015: 379-393 - [c35]Meng Yang, Weiyang Liu, LinLin Shen:
Joint regularized nearest points for image set based face recognition. FG 2015: 1-7 - [c34]Linlin Shen, Ziyi Dai, Sen Jia, Meng Yang, Zhihui Lai, Shiqi Yu:
Band selection for Gabor feature based hyperspectral palmprint recognition. ICB 2015: 416-421 - [c33]Ziyi Dai, Zehua Pan, Yewei Wu, Linlin Shen, Qibin Hou:
Facial memorability prediction fusing geometric and texture features. ICIA 2015: 998-1002 - [c32]Xiaozhao Fang, Yong Xu, Zheng Zhang, Zhihui Lai, Linlin Shen:
Orthogonal self-guided similarity preserving projections. ICIP 2015: 344-348 - [c31]Sen Jia, Jie Hu, Guihua Tang, Linlin Shen, Lin Deng:
Gabor feature based dictionary fusion for hyperspectral imagery classification. IGARSS 2015: 433-436 - [c30]Meng Yang, Weixin Luo, Linlin Shen:
Dictionary Pair Learning with Block-Diagonal Structure for Image Classification. IScIDE (1) 2015: 288-299 - [c29]Sen Jia, Yao Xie, Linlin Shen, Lin Deng:
Hyperspectral image classification using Fisher criterion-based Gabor cube selection and multi-task joint sparse representation. WHISPERS 2015: 1-4 - [i2]Xianbiao Qi, Guoying Zhao, LinLin Shen, Qingquan Li, Matti Pietikäinen:
LOAD: Local Orientation Adaptive Descriptor for Texture and Material Classification. CoRR abs/1504.05809 (2015) - 2014
- [j19]Baochang Zhang, Wanquan Liu, Zhili Mao, Jianzhuang Liu, LinLin Shen:
Cooperative and Geometric Learning Algorithm (CGLA) for path planning of UAVs with limited information. Autom. 50(3): 809-820 (2014) - [j18]Juan Liu, Baochang Zhang, Haoran Zeng, LinLin Shen, Jianzhuang Liu, Jason Zhao:
The BeiHang Keystroke Dynamics Systems, Databases and baselines. Neurocomputing 144: 271-281 (2014) - [j17]LinLin Shen, Jiaming Lin, Shengyin Wu, Shiqi Yu:
HEp-2 image classification using intensity order pooling based features and bag of words. Pattern Recognit. 47(7): 2419-2427 (2014) - [j16]Sen Jia, Zexuan Zhu, Linlin Shen, Qingquan Li:
A Two-Stage Feature Selection Framework for Hyperspectral Image Classification Using Few Labeled Samples. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(4): 1023-1035 (2014) - [c28]Meng Yang, Linlin Shen:
Robust Face Recognition via Facial Disguise Learning. CCPR (2) 2014: 311-320 - [c27]Sen Jia, Lin Deng, LinLin Shen:
An effective collaborative representation algorithm for hyperspectral image classification. ICME 2014: 1-6 - [c26]LinLin Shen, Wenfeng Wu, Sen Jia, Zhenhuan Guo:
Coding 3D Gabor Features for Hyperspectral Palmprint Recognition. ICMB 2014: 169-173 - 2013
- [j15]LinLin Shen, Zexuan Zhu, Sen Jia, Jiasong Zhu, Yiwen Sun:
Discriminative Gabor Feature Selection for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 10(1): 29-33 (2013) - [c25]LinLin Shen, Bojie Liu, Jinwen He:
A Boosted Cascade of Directional Local Binary Patterns for Multispectral Palmprint Recognition. CCBR 2013: 233-240 - [i1]Juan Liu, Baochang Zhang, LinLin Shen, Jianzhuang Liu, Jason Zhao:
The BeiHang Keystroke Dynamics Authentication System. CoRR abs/1310.4485 (2013) - 2012
- [j14]Linlin Shen, Shipei Wu, Songhao Zheng, Zhen Ji:
Embedded Palmprint Recognition System Using OMAP 3530. Sensors 12(2): 1482-1493 (2012) - [j13]Sen Jia, Zhen Ji, Yuntao Qian, Linlin Shen:
Unsupervised Band Selection for Hyperspectral Imagery Classification Without Manual Band Removal. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(2): 531-543 (2012) - [c24]LinLin Shen, Songhao Zheng:
Hyperspectral face recognition using 3D Gabor wavelets. ICPR 2012: 1574-1577 - [c23]Zexuan Zhu, LinLin Shen, Yiwen Sun, Shan He, Zhen Ji:
Memetic Three-Dimensional Gabor Feature Extraction for Hyperspectral Imagery Classification. ICSI (1) 2012: 479-488 - [c22]Sen Jia, Linlin Shen, Lin Deng:
Band selection-based Gabor wavelet feature extraction for hyperspectral imagery classification. WHISPERS 2012: 1-4 - 2011
- [j12]Jianyong Chen, Guihua Wu, LinLin Shen, Zhen Ji:
Differentiated security levels for personal identifiable information in identity management system. Expert Syst. Appl. 38(11): 14156-14162 (2011) - [j11]Jianyong Chen, Qiuzhen Lin, LinLin Shen:
An Immune-Inspired Evolution Strategy for Constrained Optimization Problems. Int. J. Artif. Intell. Tools 20(3): 549-561 (2011) - [j10]LinLin Shen, Li Bai, Zhen Ji:
Fpcode: an Efficient Approach for Multi-Modal Biometrics. Int. J. Pattern Recognit. Artif. Intell. 25(2): 273-286 (2011) - [j9]LinLin Shen, Sen Jia:
Three-Dimensional Gabor Wavelets for Pixel-Based Hyperspectral Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 49(12): 5039-5046 (2011) - [c21]LinLin Shen, Jinwen He:
Face Recognition with Directional Local Binary Patterns. CCBR 2011: 10-16 - [c20]LinLin Shen, Jinwen He, Shipei Wu, Songhao Zheng:
Face Recognition from Visible and Near-Infrared Images Using Boosted Directional Binary Code. ICIC (2) 2011: 404-411 - [c19]Jiarui Zhou, Zhen Ji, LinLin Shen, Zexuan Zhu, Siping Chen:
PSO based memetic algorithm for face recognition Gabor filters selection. Memetic Computing 2011: 9-14 - 2010
- [j8]Baochang Zhang, Lei Zhang, David Zhang, LinLin Shen:
Directional binary code with application to PolyU near-infrared face database. Pattern Recognit. Lett. 31(14): 2337-2344 (2010) - [c18]Weixiang Liu, Songfeng Zheng, Sen Jia, LinLin Shen, Xianghua Fu:
Sparse nonnegative matrix factorization with the elastic net. BIBM 2010: 265-268
2000 – 2009
- 2009
- [j7]LinLin Shen, Li Bai, Dorothee Auer:
Erratum to "3D Gabor wavelets for evaluating SPM normalization algorithm". Medical Image Anal. 13(3): 542 (2009) - [j6]Ian L. Dryden, Li Bai, Christopher J. Brignell, LinLin Shen:
Factored principal components analysis, with applications to face recognition. Stat. Comput. 19(3): 229-238 (2009) - [c17]Hieu V. Nguyen, Li Bai, LinLin Shen:
Local Gabor Binary Pattern Whitened PCA: A Novel Approach for Face Recognition from Single Image Per Person. ICB 2009: 269-278 - 2008
- [j5]LinLin Shen, Li Bai:
3D Gabor wavelets for evaluating SPM normalization algorithm. Medical Image Anal. 12(3): 375-383 (2008) - 2007
- [j4]LinLin Shen, Li Bai, Michael C. Fairhurst:
Gabor wavelets and General Discriminant Analysis for face identification and verification. Image Vis. Comput. 25(5): 553-563 (2007) - [c16]LinLin Shen, Zhen Ji, Li Bai:
Tuning Kernel Parameters with Different Gabor Features for Face Recognition. ICIC (2) 2007: 881-890 - [c15]Ángel Serrano, Isaac Martín de Diego, Cristina Conde, Enrique Cabello, LinLin Shen, Li Bai:
Influence of Wavelet Frequency and Orientation in an SVM-Based Parallel Gabor PCA Face Verification System. IDEAL 2007: 219-228 - [c14]Ángel Serrano, Isaac Martín de Diego, Cristina Conde, Enrique Cabello, Li Bai, LinLin Shen:
Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification. MCS 2007: 141-150 - [c13]Ángel Serrano, Cristina Conde, Isaac Martín de Diego, Enrique Cabello, Li Bai, LinLin Shen:
Parallel gabor PCA with fusion of SVM scores for face verification. VISAPP (2) 2007: 149-154 - [c12]LinLin Shen, Li Bai, Zhen Ji:
A SVM Face Recognition Method Based on Optimized Gabor Features. VISUAL 2007: 165-174 - 2006
- [j3]LinLin Shen, Li Bai:
Information Theory for Gabor Feature Selection for Face Recognition. EURASIP J. Adv. Signal Process. 2006 (2006) - [j2]LinLin Shen, Li Bai:
A review on Gabor wavelets for face recognition. Pattern Anal. Appl. 9(2-3): 273-292 (2006) - [j1]LinLin Shen, Li Bai:
MutualBoost learning for selecting Gabor features for face recognition. Pattern Recognit. Lett. 27(15): 1758-1767 (2006) - [c11]Li Bai, LinLin Shen, Yan Wang:
A Novel Eye Location Algorithm based on Radial Symmetry Transform. ICPR (3) 2006: 511-514 - [c10]LinLin Shen, Dorothee Auer, Li Bai:
3D Gabor Wavelets for Evaluating Medical Image Registration Algorithms. MIAR 2006: 261-268 - 2005
- [c9]LinLin Shen, Li Bai:
Kernel Enhanced Informative Gabor Features for Face Recognition. BMVC 2005 - [c8]Li Bai, LinLin Shen:
InfoBoost for Selecting Discriminative Gabor Features. CAIP 2005: 423-432 - [c7]LinLin Shen, Li Bai, Daniel Bardsley, Yangsheng Wang:
Gabor Feature Selection for Face Recognition Using Improved AdaBoost Learning. IWBRS 2005: 39-49 - 2004
- [c6]LinLin Shen, Li Bai:
Gabor Feature Based Face Recognition Using Kernel Methods. FGR 2004: 170-176 - [c5]LinLin Shen, Li Bai, Phil D. Picton:
Facial recognition/verification using gabor wavelets and kernel methods. ICIP 2004: 1433-1436 - [c4]LinLin Shen, Li Bai:
Gabor Wavelets and Kernel Direct Discriminant Analysis for Face Recognition. ICPR (1) 2004: 284-287 - [c3]Kieron Messer, Josef Kittler, Mohammad Sadeghi, Miroslav Hamouz, Alexey Kostin, Fabien Cardinaux, Sébastien Marcel, Samy Bengio, Conrad Sanderson, Jacek Czyz, Luc Vandendorpe, Chris McCool, Scott Lowther, Sridha Sridharan, Vinod Chandran, Roberto Paredes Palacios, Enrique Vidal, Li Bai, LinLin Shen, Yan Wang, Yueh-Hsuan Chiang, Hsien-Chang Liu, Yi-Ping Hung, Alexander Heinrichs, Marco K. Müller, Andreas Tewes, Christoph von der Malsburg, Rolf P. Würtz, Zhenger Wang, Feng Xue, Yong Ma, Qiong Yang, Chi Fang, Xiaoqing Ding, Simon Lucey, Ralph Goss, Henry Schneiderman, Norman Poh, Yann Rodriguez:
Face Authentication Test on the BANCA Database. ICPR (4) 2004: 523-532 - 2003
- [c2]Li Bai, Linlin Shen:
Combining Wavelets with HMM for Face Recognition. SGAI Conf. (Applications) 2003: 227-233 - 2001
- [c1]LinLin Shen, Alex ChiChung Kot, Wai Mun Koo:
Quality Measures of Fingerprint Images. AVBPA 2001: 266-271
Coauthor Index
[j138] [j129] [j126] [c195] [c193] [c190] [c188] [c187] [c186] [c185] [c183] [c174] [i102] [i97] [i82] [i80] [i79] [j104] [c169] [c165] [c163] [i76] [i71] [i69] [j94] [c146] [c142] [c141] [c137] [i61] [i59] [i58] [i52] [i46] [j80] [j76] [c119] [c117] [i42] [i41] [c109] [c103] [c101] [c93] [i25] [j55] [c87] [c79] [c78] [c72] [j49] [j46] [j45] [c67] [j36] [j33] [c56] [c46]
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