[2023]        [2022]       [2021]       [2020]       [2019]       [2018]       [2017]       [2016]       [Before 2016]

Journal Papers

  • Yongming Rao, Zuyan Liu, Wenliang Zhao, Jie Zhou and Jiwen Lu, Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
  • Yongming Rao, Wenliang Zhao, Zheng Zhu, Jie Zhou, and Jiwen Lu, GFNet: Global Filter Networks for Visual Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
  • Yi Wei, Shaohui Liu, Jie Zhou, and Jiwen Lu, Depth-Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
  • Ziwei Wang, Changyuan Wang, Xiuwei Xu, Jie Zhou, and Jiwen Lu, Quantformer: Learning Extremely Low-precision Vision Transformers, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
  • Wenzhao Zheng, Jiwen Lu, and Jie Zhou, Deep Metric Learning with Dynamic Constraints, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
  • Mantang Guo, Junhui Hou, Jing Jin, Hui Liu, Huanqiang Zeng, and Jiwen Lu, Content-aware Warping for View Synthesis, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
  • Hui Li, Tianyang Xu, Xiao-Jun Wu, Jiwen Lu, and Josef Kittler, LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
  • Haotong Qin, Yifu Ding, Xiangguo Zhang, Jiakai Wang, Xianglong Liu, and Jiwen Lu, Diverse Sample Generation: Pushing the Limit of Generative Data-free Quantization, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
  • Ziwei Wang, Han Xiao, Yueqi Duan, Jie Zhou, and Jiwen Lu, Learning Deep Binary Descriptors via Bitwise Interaction Mining, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
  • Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Chen Xinze, Jiagang Zhu, Tian Yang, Dalong Du, Jiwen Lu, and Jie Zhou, WebFace260M: A Benchmark for Million-Scale Deep Face Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
  • Yongming Rao, Jiwen Lu, and Jie Zhou, PointGLR: Unsupervised Structural Representation Learning of 3D Point Clouds, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
  • Haoxin Li, Wei-Shi Zheng, Jianguo Zhang, Haifeng Hu, Jiwen Lu, and Jianhuang Lai, Egocentric Action Recognition by Automatic Relation Modeling, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
  • Ziwei Wang, Jiwen Lu, Han Xiao, Shengyu Liu, and Jie Zhou, Learning Accurate Performance Predictors for Ultrafast Automated Model Compression, International Journal of Computer Vision, 2023.
  • Hongyi Sun, Wanhua Li, Yueqi Duan, Jie Zhou, and Jiwen Lu, Learning Adaptive Patch Generators for Mask-Robust Image Inpainting, IEEE Transactions on Multimedia, 2023.
  • Bin Fan, Yuzhu Yang, Wensen Feng, Fuchao Wu, Jiwen Lu, and Hongmin Liu, Seeing through Darkness: Visual Localization at Night via Weakly Supervised Learning of Domain Invariant Features, IEEE Transactions on Multimedia, 2023.
  • Sichao Huang, Ziwei Wang, Jie Zhou, and Jiwen Lu, Planning Irregular Object Packing via Hierarchical Reinforcement Learning, IEEE Robotics and Automation Letters, vol. 8, no. 1, pp. 81-88, 2023.
  • Yuejian Wu, Linqing Zhao, Jiwen Lu, and Haibin Yan, Dense Hybrid Proposal Modulation for Lane Detection, IEEE Transactions on Circuits and Systems for Video Technology, 2023.
  • Yongjie Duan, Jianjiang Feng, Jiwen Lu and Jie Zhou, Estimating Fingerprint Pose via Dense Voting, IEEE Transactions on Information Forensics and Security, vol. 18, pp. 2493-2507, 2023.
  • Ziwei Wang, Jiwen Lu, Ziyi Wu, and Jie Zhou, Learning Efficient Binarized Object Detectors with Information Compression, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 6, pp. 3082-3095, 2022.
  • Cheng Ma, Yongming Rao, Jiwen Lu, and Jie Zhou, Structure-Preserving Image Super-Resolution, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 11, pp. 7898-7911, 2022.
  • Kun Song, Junwei Han, Gong Cheng, Jiwen Lu, and Feiping Nie, Adaptive Neighborhood Metric Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 9, pp. 4591-4604, 2022.
  • Wencheng Zhu, Yucheng Han, Jiwen Lu, and Jie Zhou, Relational Reasoning over Spatial-Temporal Graphs for Video Summarization, IEEE Transactions on Image Processing, vol. 31, pp. 3017-3031, 2022.
  • Jinglin Xu, Guangyi Chen, Nuoxing Zhou, Wei-Shi Zheng, and Jiwen Lu, Probabilistic Temporal Modeling for Unintentional Action Localization, IEEE Transactions on Image Processing, vol. 31, pp. 3081-3094, 2022.
  • Jinglin Xu, Guangyi Chen, Jiwen Lu, and Jie Zhou, Unintentional Action Localization via Counterfactual Examples, IEEE Transactions on Image Processing, vol. 31, pp. 3281-3294, 2022.
  • Cheng Ma, Peiqi Yu, Jiwen Lu, and Jie Zhou, Recovering Realistic Details for Magnification-Arbitrary Image Super-Resolution, IEEE Transactions on Image Processing, vol. 31, pp. 3669-3683, 2022.
  • Wanhua Li, Jiwen Lu, Abudukelimu Wuerkaixi, Jianjiang Feng, and Jie Zhou, MetaAge: Meta-Learning Personalized Age Estimators, IEEE Transactions on Image Processing, vol. 31, pp. 4761-4765, 2022.
  • An Tao, Yueqi Duan, Yi Wei, Jiwen Lu, and Jie Zhou, SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation, IEEE Transactions on Image Processing, vol. 31, pp. 4952-4965, 2022.
  • Yu Zheng, Xiuwei Xu, Jiwen Lu, and Jie Zhou, PointRas: Point Cloud Segmentation as Rasterization, IEEE Transactions on Image Processing, vol. 31, pp. 6002-6016, 2022.
  • Wenliang Zhao, Yongming Rao, Yansong Tang, Jie Zhou, and Jiwen Lu, VideoABC: A Real-World Video Dataset for Abductive Visual Reasoning, IEEE Transactions on Image Processing, vol. 31, pp. 6048-6061, 2022.
  • Cheng Ma, Haowen Sun, Yongming Rao, Jie Zhou, and Jiwen Lu, Video Saliency Forecasting Transformer, IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 10, pp. 6850-6862, 2022.
  • Lei Chen, Jiwen Lu, Zhanjie Song, and Jie Zhou, Ambiguousness-Aware State Evolution for Action Prediction, IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 9, pp. 6058-6072, 2022.
  • Muheng Li, Lei Chen, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Order-Constrained Representation Learning for Instructional Video Prediction, IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 8, pp. 5438-5452, 2022.
  • Yi Wei, Hengkai Guo, Jiwen Lu, and Jie Zhou, Iterative Feature Matching for Self-Supervised Indoor Depth Estimation, IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 6, pp. 3839-3852, 2022.
  • Shuyan Li, Xiu Li, Jiwen Lu, and Jie Zhou, Structure-adaptive Neighborhood Preserving Hashing for Scalable Video Search, IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 4, pp. 2441-2454, 2022.
  • Wencheng Zhu, Jiahao Li, Jiwen Lu, and Jie Zhou, Separable Structure Modeling for Semi-Supervised Video Object Segmentation, IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 1, pp. 330-344, 2022.
  • Bingyao Yu, Jiwen Lu, Xiu Li, and Jie Zhou, Salience-Aware Face Anti-Spoofing via Deep Reinforcement Learning, IEEE Transactions on Information Forensics and Security, vol. 17, pp. 413-427, 2022.
  • Yansong Tang, Xingyu Liu, Xumin Yu, Danyang Zhang, Jiwen Lu, and Jie Zhou, Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition, ACM Transactions on Multimedia Computing, Communications and Applications, vol. 18, no. 2, pp. 1-24, 2022.
  • Wencheng Zhu, Jiwen Lu, Yucheng Han, and Jie Zhou, Learning Multiscale Hierarchical Attention for Video Summarization, Pattern Recognition, vol. 122, article no. 108312, 2022.
  • Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, and Yang Gao, Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation, IEEE Transactions on Medical Imaging, vol. 41, no. 3, pp. 608-620, 2022.
  • Ziwei Wang, Jiwen Lu, and Jie Zhou, Learning Channel-wise Interactions for Binary Convolutional Neural Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 10, pp. 3432-3445, 2021.
  • Wenzhao Zheng, Jiwen Lu, and Jie Zhou, Hardness-aware Deep Metric Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 9, pp. 3214-3228, 2021.
  • Yansong Tang, Jiwen Lu, and Jie Zhou, Comprehensive Instructional Video Analysis: The COIN Dataset and Performance Evaluation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 9, pp. 3138-3153, 2021.
  • Jiwen Lu, Venice Erin Liong, and Yap-Peng Tan, Adversarial Multi-label Variational Hashing, IEEE Transactions on Image Processing, vol. 30, pp. 332-344, 2021.
  • Wencheng Zhu, Jiwen Lu, Jiahao Li, and Jie Zhou, DSNet: A Flexible Detect-to-Summarize Network for Video Summarization, IEEE Transactions on Image Processing, vol. 30, pp. 948-962, 2021.
  • Guangyi Chen, Tianpei Gu, Jiwen Lu, Jin-An Bao, and Jie Zhou, Person Re-identification via Attention Pyramid, IEEE Transactions on Image Processing, vol. 30, pp. 948-962, 2021.
  • Chunze Lin, Beier Zhu, Quan Wang, Renjie Liao, Chen Qian, Jiwen Lu, and Jie Zhou, Structure-Coherent Deep Feature Learning for Robust Face Alignment, IEEE Transactions on Image Processing, vol. 30, pp. 5313-5326, 2021.
  • Wanhua Li, Jiwen Lu, Abudukelimu Wuerkaixi, Jianjiang Feng, and Jie Zhou, Reasoning Graph Networks for Kinship Verification: from Star-shaped to Hierarchical, IEEE Transactions on Image Processing, vol. 30, pp. 948-962, 2021.
  • Hao-Chiang Shao, Kang-Yu Liu, Weng-Tai Su, Chia-Wen Lin, and Jiwen Lu, DotFAN: A Domain-Transferred Face Augmentation Net, IEEE Transactions on Image Processing, vol. 30, pp. 948-962, 2021.
  • Lei Chen, Jiwen Lu, Zhanjie Song, and Jie Zhou, Recurrent Semantic Preserving Generation for Action Prediction, IEEE Transactions on Circuits and Systems for Video Technology, vol. 31 no. 1, pp. 231-245, 2021.
  • Cheng Ma, Jiwen Lu, and Jie Zhou, Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search, IEEE Transactions on Multimedia, pp. 3943-3956, 2021.
  • Shan Gu, Jianjiang Feng, Jiwen Lu, and Jie Zhou, Latent Fingerprint Registration via Matching Densely Sampled Points, IEEE Transactions on Information Forensics and Security, vol. 16, pp. 1231-1244, 2021.
  • Qihao Yin, Jianjiang Feng, Jiwen Lu, and Jie Zhou, Joint Estimation of Pose and Singular Points of Fingerprints, IEEE Transactions on Information Forensics and Security, vol. 16, pp. 1467-1479, 2021.
  • Hao Liu, Jiwen Lu, Minghao Guo, Suping Wu, and Jie Zhou, Learning Reasoning-Decision Networks for Robust Face Alignment, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, no. 3, pp. 679-693, 2020.
  • Venice Erin Liong, Jiwen Lu, Lin-Yu Duan, and Yap-Peng Tan, Deep Variational and Structural Hashing, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, no. 3, pp. 580-595, 2020.
  • Yueqi Duan, Jiwen Lu, Wenzhao Zheng and Jie Zhou, Deep Adversarial Metric Learning, IEEE Transactions on Image Processing, vol. 29, no. 1, pp. 2037-2051, 2020.
  • Chunze Lin, Jiwen Lu, Gang Wang, and Jie Zhou, Graininess-Aware Deep Feature Learning for Robust Pedestrian Detection, IEEE Transactions on Image Processing, vol. 29, pp. 3820-3834, 2020.
  • Guangyi Chen, Jiwen Lu, Ming Yang, and Jie Zhou, Learning Recurrent 3D Attention for Video-based Person Re-identification, IEEE Transactions on Image Processing, vol. 29, pp. 6963-6976, 2020.
  • Yansong Tang, Yi Wei, Xumin Yu, Jiwen Lu, and Jie Zhou, Graph Interaction Networks for Relation Transfer in Human Activity Videos, IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 9, pp. 2872-2886, 2020.
  • Xiaojuan Cheng, Jiwen Lu, Bo Yuan, and Jie Zhou, Identity-Preserving Face hallucination via Deep Reinforcement Learning, IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 12, pp. 4796-4809, 2020.
  • Shuyan Li, Zhixiang Chen, Xiu Li, Jiwen Lu, and Jie Zhou, Unsupervised Variational Video Hashing With 1D-CNN-LSTM Networks, IEEE Transactions on Multimedia, vol. 22, no. 6, pp. 1542-1554, 2020.
  • Bin Fan, Qingqun Kong, Baoqian Zhang, Hongmin Liu, Chunhong Pan, and Jiwen Lu, Efficient Nearest Neighbor Search in High Dimensional Hamming Space, Pattern Recognition, vol. 99, 2020.
  • Yongming Rao, Jiwen Lu, Ji Lin, and Jie Zhou, Runtime Network Routing for Efficient Image Classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 10, pp. 2291-2304, 2019.
  • Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, and Jie Zhou, Learning Deep Binary Descriptor with Multi-Quantization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 8, pp. 1924-1938, 2019.
  • Kevin Lin, Jiwen Lu, Chu-Song Chen, Jie Zhou, and Ming-Ting Sun, Unsupervised Deep Learning of Compact Binary Descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 6, pp. 1501-1514, 2019.
  • Yongming Rao, Jiwen Lu, and Jie Zhou, Learning Discriminative Aggregation Network for Video-based Face Recognition and Person Re-identification, International Journal of Computer Vision, vol. 127, no. 6-7, pp. 701-718, 2019.
  • Guangyi Chen, Jiwen Lu, Ming Yang, and Jie Zhou, Spatial-Temporal Attention-aware Learning for Video-based Person Re-identification, IEEE Transactions on Image Processing, vol. 28, no. 9, pp. 4192-4205, 2019.
  • Liangliang Ren, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Uniform and Variational Deep Learning for RGB-D Object Recognition and Person Re-identification, IEEE Transactions on Image Processing, vol. 28, no. 10, pp. 4970-4983, 2019.
  • Yansong Tang, Jiwen Lu, Zian Wang, Ming Yang, and Jie Zhou, Learning Semantics-Preserving Attention and Contextual Interaction for Group Activity Recognition, IEEE Transactions on Image Processing, vol. 28, no. 10, pp. 4997-5102, 2019.
  • Yansong Tang, Zian Wang, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Multi-Stream Deep Neural Networks for RGB-D Egocentric Action Recognition, IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 10, pp. 3001-3015, 2019.
  • Chunze Lin, Jiwen Lu, and Jie Zhou, Multi-Grained Deep Feature Learning for Robust Pedestrian Detection, IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 12, pp. 3608-3621, 2019.
  • Hao Liu, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Ordinal Deep Learning for Facial Age Estimation, IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 2, pp. 486-501, 2019.
  • Xiaojuan Cheng, Jiwen Lu, Bo Yuan, and Jie Zhou, Semantics-Enhanced Deep Feature Learning for Face Recognition, IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 1, no. 4, pp. 223-237, 2019.
  • Wencheng Zhu, Jiwen Lu, and Jie Zhou, Structure Induced General and Specific Multi-view Subspace Clustering, Pattern Recognition, vol. 93, pp. 392-403, 2019.
  • Lei Chen, Zhanjie Song, Jiwen Lu, and Jie Zhou, Learning Principal Orientations and Residual Descriptor for Action Recognition, Pattern Recognition, vol. 86, pp. 14-26, 2019.
  • Hao Liu, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Two-stream Transformer Networks for Video-Based Face Alignment, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 11, pp. 2546-2554, 2018.
  • Jiwen Lu, Venice Erin Liong, and Jie Zhou, Simultaneous Local Binary Feature Learning and Encoding for Homogeneous and Heterogeneous Face Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 8, pp. 1979-1993, 2018.
  • Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Context-Aware Local Binary Feature Learning for Face Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 5, pp. 1139-1153, 2018.
  • Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Sharable and Individual Multi-view Metric Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 9, pp. 2281-2288, 2018.
  • Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Deep Localized Metric Learning, IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 10, pp. 2644-2656, 2018.
  • Junlin Hu, Jiwen Lu, Yap-Peng Tan, Junsong Yuan, and Jie Zhou, Local Large-Margin Multimetric Learning for Face and Kinship Verification, IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 8, pp. 1875-1891, 2018.
  • Zhixiang Chen, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Nonlinear Structural Hashing for Scalable Video Search, IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 6, pp. 1421-1433, 2018.
  • Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Topology Preserving Structural Matching for Automatic Partial Face Recognition, IEEE Transactions on Information Forensics and Security, vol. 13, no. 7, pp. 1823-1837, 2018.
  • Hao Liu, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Label-sensitive Deep Metric Learning for Facial Age Estimation, IEEE Transactions on Information Forensics and Security, vol. 13, no. 2, pp. 292-305, 2018.
  • Shan Gu, Jianfeng Feng, Jiwen Lu, and Jie Zhou, Efficient Rectification of Distorted Fingerprints, IEEE Transactions on Information Forensics and Security, vol. 13, no. 1, pp. 156-169, 2018.
  • Zhe Cui, Jianfeng Feng, Shihao Li, Jiwen Lu, and Jie Zhou, 2-D Phase Demodulation for Deformable Fingerprint Registration, IEEE Transactions on Information Forensics and Security, vol. 13, no. 12, pp. 3153-3165, 2018.
  • Xiaojuan Cheng, Jiwen Lu, Jianjiang Feng, Bo Yuan, and Jie Zhou, Scene Recognition with Objectness, Pattern Recognition, vol. 74, pp. 474-487, 2018.
  • Xin Yuan, Zhixiang Chen, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Reconstruction-Based Supervised Hashing, Pattern Recognition, vol. 79, pp. 147-161, 2018.
  • Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, Cross-modal Discrete Hashing, Pattern Recognition, vol. 79, pp. 114-129, 2018.
  • Wencheng Zhu, Jiwen Lu, and Jie Zhou, Nonlinear Subspace Clustering for Image Clustering, Pattern Recognition Letters, vol. 107, pp. 131-136, 2018.
  • Anran Wang, Jianfei Cai, Jiwen Lu, and Tat-Jen Cham, Structure-Aware Multimodal Feature Fusion for RGB-D Scene Classification and Beyond, ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 14, no. 2, pp. 1-39, 2018.
  • Jiwen Lu, Junlin Hu, and Jie Zhou, Deep Metric Learning for Visual Understanding: An Overview of Recent Advances, IEEE Signal Processing Magazine, vol. 34, no. 6, pp. 76-84, 2017.
  • Jiwen Lu, Venice Erin Liong, and Jie Zhou, Deep Hashing for Scalable Image Search, IEEE Transactions on Image Processing, vol. 26, no. 5, pp. 2352-2367, 2017.
  • Jiwen Lu, Gang Wang, and Jie Zhou, Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition, IEEE Transactions on Image Processing, vol. 26, no. 8, pp. 4042-4054, 2017.
  • Jiwen Lu, Junlin Hu, and Yap-Peng Tan, Discriminative Deep Metric Learning for Face and Kinship Verification, IEEE Transactions on Image Processing, vol. 26, no. 9, pp. 4269-4282, 2017.
  • Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Learning Rotation-invariant Local Binary Descriptor, IEEE Transactions on Image Processing, vol. 26, no. 8, pp. 3636-3651, 2017.
  • Hao Liu, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Learning Deep Sharable and Structural Detectors for Face Alignment, IEEE Transactions on Image Processing, vol. 26, no. 4, pp. 1666-1678, 2017.
  • Zhixiang Chen, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Nonlinear Discrete Hashing, IEEE Transactions on Multimedia, vol. 19, no. 1, pp. 123-135, 2017.
  • Zhixiang Chen, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Nonlinear Sparse Hashing, IEEE Transactions on Multimedia, vol. 19, no. 9, pp. 1996-2009, 2017.
  • Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Deep Video Hashing, IEEE Transactions on Multimedia, vol. 19, no. 6, pp. 1209-1219, 2017.
  • Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Deep Coupled Metric Learning for Cross-modal Matching, IEEE Transactions on Multimedia, vol. 19, no. 6, pp. 1234-1244, 2017.
  • Xi Peng, Jiwen Lu, Zhan Yi, and Rui Yan, Automatic Subspace Learning via Principal Coefficients Embedding, IEEE Transactions on Cybernetics, vol. 47, no. 11, pp.3583-3596, 2017.
  • Yuebin Wang, Liqiang Zhang, Hao Deng, Jiwen Lu, Haiyang Huang, Liang Zhang, Jun Liu, Hong Tang, and Xiaoyun Xing, Learning a Discriminative Distance Metric with Label Consistency for Scene Classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 8, pp. 4427-4440, 2017.
  • Hao Liu, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Group-aware Deep Feature Learning for Facial Age Estimation, Pattern Recognition, vol. 66, pp. 82-94, 2017.
  • Liangliang Ren, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Multi-Modal Uniform Deep Learning for RGB-D Person Re-identification, Pattern Recognition, vol. 72, pp. 446-457, 2017.
  • Renliang Weng, Jiwen Lu, and Yap-Peng Tan, Robust Point Set Matching for Partial Face Recognition, IEEE Transactions on Image Processing, vol. 25, no. 3, pp. 1163-1176, 2016.
  • Junlin Hu, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Deep Transfer Metric Learning, IEEE Transactions on Image Processing, vol. 25, no. 12, pp. 5576-5588, 2016.
  • Rahul Rama Varior, Gang Wang, Jiwen Lu, and Ting Liu, Learning Invariant Color Features for Person Re-identification, IEEE Transactions on Image Processing, vol. 25, no. 7, pp. 3395-3410, 2016.
  • Jiwen Lu, Gang Wang, and Pierre Moulin, Localized Multi-Feature Metric Learning for Image Set Based Face Recognition, IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 3, pp. 529-540, 2016.
  • Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Deep Metric Learning for Visual Tracking, IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 11, 2056-2068, 2016.
  • Renliang Weng, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Learning Cascaded Deep Auto-encoder Networks for Face Alignment, IEEE Transactions on Multimedia, vol. 18, no. 10, pp. 2066-2078, 2016.
  • Jiwen Lu, Venice Erin Liong, Xiuzhuang Zhou, and Jie Zhou, Learning Compact Binary Face Descriptor for Face Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 10, pp. 2041-2056, 2015.
  • Jiwen Lu, Venice Erin Liong, and Jie Zhou, Cost-sensitive Local Binary Feature Learning for Facial Age Estimation, IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5356-5368, 2015.
  • Jiwen Lu, Venice Erin Liong, Gang Wang, and Pierre Moulin, Joint Feature Learning for Face Recognition, IEEE Transactions on Information Forensics and Security, vol. 10, no. 7. pp. 1371-1383, 2015.
  • Jiwen Lu, Gang Wang, Weihong Deng, and Kui Jia, Reconstruction-Based Metric Learning for Unconstrained Face Verification, IEEE Transactions on Information Forensics and Security, vol. 10, no. 1, pp. 79-89, 2015.
  • Yi Jin, Jiwen Lu, and Qiuqi Ruan, Coupled Discriminative Feature Learning for Heterogeneous Face Recognition, IEEE Transactions on Information Forensics and Security, vol. 10, no. 3, pp. 640-652, 2015.
  • Anran Wang, Jiwen Lu, Jianfei Cai, Tat-Jen Cham and Gang Wang, Large-margin Multi-modal Deep Learning for RGB-D Object Recognition, IEEE Transactions on Multimedia, vol. 17, no. 11, pp. 1887-1898, 2015.
  • Abrar H. Abdulnabi, Gang Wang, Jiwen Lu, and Kui Jia, Multi-task CNN Models for Attribute Prediction, IEEE Transactions on Multimedia, vol. 17, no. 11, pp.1949-1959, 2015.
  • Haibin Yan, Jiwen Lu, and Xiuzhuang Zhou, Prototype-based Discriminative Feature Learning for Kinship Verification, IEEE Transactions on Cybernetics, vol. 45, no. 11, pp. 2535-2545, 2015.
  • Anran Wang, Jiwen Lu, Jianfei Cai, Gang Wang, and Tat-Jen Cham, Unsupervised Joint Feature Learning and Encoding for RGB-D Scene Labeling, IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 4459-4473, 2015.
  • Tsung-Han Chan, Kui Jia, Shenghua Gao, Jiwen Lu, Zinan Zeng, and Yi Ma, PCANet: A Simple Deep Learning Baseline for Image Classification?, IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5017-5032, 2015.
  • Sheng Huang, Ahmed Elgammal, Jiwen Lu, and Dan Yang, Cross-speed Gait Recognition Using Speed-invariant Gait Templates and Globality-locality Preserving Projections, IEEE Transactions on Information Forensics and Security, vol. 10, no. 10, pp. 2071-2083, 2015.
  • Shenghua Gao, Yuting Zhang, Kui Jia, Jiwen Lu, and Yingying Zhang, Single Sample Face Recognition via Learning Deep Supervised Autoencoders, IEEE Transactions on Information Forensics and Security, vol. 10, no. 10, pp. 2108-2118, 2015.
  • Venice Erin Liong, Jiwen Lu, and Yongxin Ge, Regularized Local Metric Learning for Person Re-identification, Pattern Recognition Letters, vol. 68, no. 16, pp. 288-296, 2015.
  • Abrar H. Abdulnabi, Gang Wang, Jiwen Lu, and Kui Jia, Multi-Task CNN Model for Attribute Prediction, IEEE Transactions on Multimedia, vol. 17, no.11, pp. 1949-1959, 2015.
  • Jiwen Lu, Xiuzhuang Zhou, Yap-Peng Tan, Yuanyuan Shang, and Jie Zhou, Neighborhood Repulsed Metric Learning for Kinship Verification, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 2, pp. 331-345, 2014.
  • Jiwen Lu, Gang Wang, and Pierre Moulin, Human identity and gender Recognition from Gait Sequences with Arbitrary Walking Directions, IEEE Transactions on Information Forensics and Security, vol. 9, no. 1, pp. 51-61, 2014.
  • Weihong Deng, Jiani Hu, Jiwen Lu, and Jun Guo, Transform-invariant PCA: A Unified Approach to Fully Automatic Face Alignment, Representation, and Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 6, pp. 1275-1284, 2014.
  • Haibin Yan, Jiwen Lu, Weihong Deng, and Xiuzhuang Zhou, Discriminative Multimetric Learning for Kinship Verification, IEEE Transactions on Information Forensics and Security, vol. 9, no. 7, pp. 1169-1178, 2014.
  • Jiwen Lu, Yap-Peng Tan, and Gang Wang, Discriminative Multimanifold Analysis for Face Recognition from a Single Training Sample Per Person, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 1, pp. 39-51, 2013.
  • Jiwen Lu, Yap-Peng Tan, Gang Wang, and Gao Yang, Image-to-Set Face Recognition Using Locality Repulsion Projections and Sparse Reconstruction-based Similarity Measure, IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 6, pp. 1070-1080, 2013.
  • Jiwen Lu and Yap-Peng Tan, Cost-sensitive Subspace Analysis and Extensions for Face Recognition, IEEE Transactions on Information Forensics and Security, vol. 8, no. 3, pp. 510-519, 2013.
  • Jiwen Lu and Yap-Peng Tan, Ordinary Preserving Manifold Analysis for Human Age and Head Pose Estimation, IEEE Transactions on Human-Machine Systems, vol. 43, no. 2, pp. 249-258, 2013.
  • Jiwen Lu, Xiuzhuang Zhou, Yap-Peng Tan, Yuanyuan Shang, and Jie Zhou, Cost-sensitive Semi-supervised Discriminant Analysis for Face Recognition, IEEE Transactions on Information Forensics and Security, vol. 7, no. 3, pp. 944-953, 2012.
  • Xiuzhuang Zhou, Yao Lu, Jiwen Lu, and Jie Zhou, Abrupt Motion Tracking via Intensively Adaptive Markov-Chain Monte Carlo Sampling, IEEE Transactions on Image Processing, vol. 21, no. 2, pp. 789-801, 2012.
  • Jiwen Lu and Yap-Peng Tan, Nearest Feature Space Analysis for Classification, IEEE Signal Processing Letters, vol. 18, no. 1, pp. 55-58, 2011.
  • Jiwen Lu and Yap-Peng Tan, Gait-based Human Age Estimation, IEEE Transactions on Information Forensics and Security, vol. 5, no. 4, pp. 761-770, 2010.
  • Jiwen Lu and Yap-Peng Tan, A Doubly Weighted Approach for Appearance -based Subspace Learning Methods, IEEE Transactions on Information Forensics and Security, vol. 5, no. 1, pp. 71-81, 2010.
  • Jiwen Lu and Yap-Peng Tan, Regularized Locality Preserving Projections and Its Extensions for Face Recognition, IEEE Transactions on Systems, Mans, and Cybernetics, Part B, vol. 40, no. 3, pp. 958-963, 2010.
  • Jiwen Lu and Yap-Peng Tan, Uncorrelated Discriminant Nearest Feature Line Analysis for Face Recognition, IEEE Signal Processing Letters, vol. 17, no. 2, pp. 185-188, 2010.
  • Jiwen Lu and Yap-Peng Tan, Uncorrelated Discriminant Simplex Analysis for View-invariant Gait signal Computing, Pattern Recognition Letters, vol. 31, no. 5, pp. 382-393, 2010.
  • Jiwen Lu and Erhu Zhang, Gait Recognition for Human Identification Based on ICA and Fuzzy SVM through Multiple Views Fusion, Pattern Recognition Letters, vol. 28, no. 16, pp. 2401-2411, 2007.


Conference Papers

  • Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, and Jiwen Lu, Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction, CVPR, 2023.
  • Wenliang Zhao, Yongming Rao, Weikang Shi, Zuyan Liu, Jie Zhou, and Jiwen Lu, DiffSwap: High-Fidelity and Controllable Face Swapping via 3D-Aware Masked Diffusion, CVPR, 2023.
  • Shuai Shen, Wenliang Zhao, Zibin Meng, Wanhua Li, Zheng Zhu, Jie Zhou, and Jiwen Lu, DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation, CVPR, 2023.
  • Chengkun Wang, Wenzhao Zheng, Junlong Li, Jie Zhou, and Jiwen Lu, Deep Factorized Metric Learning, CVPR, 2023.
  • Xiuwei Xu, Ziwei Wang, Jie Zhou, and Jiwen Lu, Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis, CVPR, 2023.
  • Muheng Li, Yueqi Duan, Jie Zhou, and Jiwen Lu, Diffusion-SDF: Text-to-Shape via Voxelized Diffusion, CVPR, 2023.
  • Yansong Tang, Jinpeng Liu, Aoyang Liu, Bin Yang, Wenxun Dai, Yongming Rao, Jiwen Lu, Jie Zhou, and Xiu Li, FLAG3D: A 3D Fitness Activity Dataset with Language Instruction, CVPR, 2023.
  • Shiyi Zhang, Wenxun Dai, Sujia Wang, Xiangwei Shen, Jiwen Lu, Jie Zhou, and Yansong Tang, LOGO: A Long-Form Video Dataset for Group Action Quality Assessment, CVPR, 2023.
  • Yongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou, Ser-Nam Lim, and Jiwen Lu, HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions, NeurIPS, 2022.
  • Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, and Jiwen Lu, P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting, NeurIPS, 2022.
  • Wanhua Li, Xiaoke Huang, Zheng Zhu, Yansong Tang, Xiu Li, Jie Zhou, and Jiwen Lu, OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression, NeurIPS, 2022.
  • Wanhua Li, Zhexuan Cao, Jianjiang Feng, Jie Zhou and Jiwen Lu, Label2Label: A Language Modeling Framework for Multi-Attribute Learning, ECCV, 2022.
  • Wenzhao Zheng, Yuanhui Huang, Borui Zhang, Jie Zhou and Jiwen Lu, Dynamic Metric Learning with Cross-Level Concept Distillation, ECCV, 2022.
  • Shuai Shen, Wanhua Li, Zheng Zhu, Yueqi Duan, Jie Zhou, and Jiwen Lu, Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis, ECCV, 2022.
  • Yongming Rao, Wenliang Zhao, Jie Zhou and Jiwen Lu, AdaMixer: Adaptive Weight Mixing for Self-Attention Free Vision Transformers, ECCV, 2022.
  • Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou and Jiwen Lu, LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection, ECCV, 2022.
  • Cheng Ma, Jingyi Zhang, Jie Zhou and Jiwen Lu, Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution, ECCV, 2022.
  • Quan Zheng, Ziwei Wang, Jie Zhou and Jiwen Lu, Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value, ECCV, 2022.
  • Jiyuan Zhang, Lulu Tang, Zhaofei Yu, Jiwen Lu, and Tiejun Huang, Spike Transformer: Monocular Depth Estimation for Spiking Camera, ECCV, 2022.
  • Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao, Guan Huang, Jiwen Lu, and Jie Zhou, SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation, CoRL, 2022.
  • Zhan Liu, Ziwei Wang, Sichao Huang, Jie Zhou, and Jiwen Lu, GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutters, IROS, 2022.
  • Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, and Jiwen Lu, FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment, CVPR, 2022. (oral)
  • Yu Zheng, Yueqi Duan, Jiwen Lu, Jie Zhou, and Qi Tian, HyperDet3D: Learning a Scene-conditioned 3D Object Detector, CVPR, 2022. (oral)
  • Borui Zhang, Wenzhao Zheng, Jie Zhou, and Jiwen Lu, Attributable Visual Similarity Learning, CVPR, 2022.
  • Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, and Jiwen Lu, Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion, CVPR, 2022.
  • Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, and Jiwen Lu, DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting, CVPR, 2022.
  • Muheng Li, Lei Chen, Yueqi Duan, Zhilan Hu, Jianjiang Feng, Jie Zhou, and Jiwen Lu, Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos, CVPR, 2022.
  • Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Dalong Du, Jie Zhou, and Jiwen Lu, Dimension Embeddings for Monocular 3D Object Detection, CVPR, 2022.
  • Xiuwei Xu, Yifan Wang, Yu Zheng, Yongming Rao, Jie Zhou, and Jiwen Lu, Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement, CVPR, 2022.
  • Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, and Jiwen Lu, SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation, CVPR, 2022.
  • Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, and Jiwen Lu, Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling, CVPR, 2022.
  • Han Xiao, Ziwei Wang, Zheng Zhu, Jie Zhou, and Jiwen Lu, Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search, CVPR, 2022.
  • Yongming Rao, Wenliang Zhao, Zheng Zhu, Jiwen Lu, Jie Zhou, Global Filter Networks for Image Classification, NeurIPS, 2021.
  • Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh, DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification, NeurIPS, 2021.
  • Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, and Jie Zhou, Guided Optimization of Neural Radiance Fields for Indoor Multi-view Depth Estimation, ICCV,2021. (oral)
  • Xumin Yu, Yongming Rao, Ziyi Wang, Zuyan Liu, Jiwen Lu, and Jie Zhou, PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers, ICCV, 2021. (oral)
  • Xuming Yu, Yongming Rao, Wenliang Zhao, Jiwen Lu, and Jie Zhou, Group-aware Contrastive Regression for Action Quality Assessment, ICCV, 2021.
  • Yongming Rao, Guangyi Chen, Jiwen Lu, and Jie Zhou, Counterfactual Attention Learning for Fine-Grained Visual Recognition, ICCV, 2021.
  • Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, and Jie Zhou, RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection, ICCV, 2021.
  • Wenliang Zhao, Yongming Rao, Ziyi Wang, Jiwen Lu, and Jie Zhou, Towards Interpretable Deep Metric Learning with Structural Matching, ICCV, 2021.
  • Guangyi Chen, Junlong Li, Nuoxing Zhou, Liangliang Ren, and Jiwen Lu, Personalized Trajectory Prediction via Distribution Discrimination, ICCV, 2021.
  • Guangyi Chen, Junlong Li, Jiwen Lu, and Jie Zhou, Human Trajectory Prediction via Counterfactual Analysis, ICCV, 2021.
  • Ziwei Wang, Han Xiao, Jiwen Lu, and Jie Zhou, Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, ICCV, 2021.
  • Ziwei Wang, Yunsong Wang, Ziyi Wu, Jiwen Lu, and Jie Zhou, Instance Similarity Learning for Unsupervised Feature Representation, ICCV, 2021.
  • Wenzhao Zheng, Borui Zhang, Jiwen Lu, and Jie Zhou, Deep Relational Metric Learning, ICCV, 2021.
  • Bingyao Yu, Wanhua Li, Xiu Li, Jiwen Lu, and Jie Zhou, Frequency-aware Spatiotemporal Transformers for Video Inpainting Detection, ICCV, 2021.
  • Zheng Zhu, Xianda Guo, Tian Yang, Junjie Huang, Jiankang Deng, Guan Huang, Dalong Du, Jiwen Lu, and Jie Zhou, Gait Recognition in the Wild: A Benchmark, ICCV, 2021.
  • Linqing Zhao, Jiwen Lu, and Jie Zhou, Similarity-Aware Fusion Network for 3D Semantic Segmentation, IROS, 2021.
  • Shuai Shen, Wanhua Li, Zheng Zhu, Guan Huang, Dalong Du, Jiwen Lu, and Jie Zhou, Structure-Aware Face Clustering on a Large-scale Graph with 10^7 Nodes, CVPR, 2021.
  • Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Chen Xinze, Jiagang Zhu, Tian Yang, Jiwen Lu, Dalong Du, and Jie Zhou, WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition, CVPR, 2021.
  • Wanhua Li, Shiwei Wang, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Meta-Mining Discriminative Samples for Kinship Verification, CVPR, 2021.
  • Guoli Wang, Jiaqi Ma, Qian Zhang, Jiwen Lu, and Jie Zhou, Pseudo Facial Generation with Extreme Poses for Face Recognition, CVPR, 2021.
  • Wenzhao Zheng, Chengkun Wang, Jiwen Lu, and Jie Zhou, Deep Compositional Metric Learning, CVPR, 2021.
  • Wanhua Li, Xiaoke Huang, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression, CVPR, 2021.
  • Shuyan Li, Xiu Li, Jiwen Lu, and Jie Zhou, Self-Supervised Video Hashing via Bidirectional Transformers, CVPR, 2021.
  • Yunpeng Zhang, Jiwen Lu, and Jie Zhou, Objects are Different: Flexible Monocular 3D Object Detection, CVPR, 2021.
  • Yi Wei, Ziyi Wang, Yongming Rao, Jiwen Lu, and Jie Zhou, PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds, CVPR, 2021.
  • Wanhua Li, Yueqi Duan, Jiwen Lu, Jianjiang Feng and Jie Zhou, Graph-based Social Relation Reasoning, ECCV, 2020.
  • Guangyi Lin, Yongming Rao, Jiwen Lu, and Jie Zhou, Temporal Coherence or Temporal Motion: Which is More Critical for Video-based Person Re-identification?, ECCV, 2020.
  • Guangyi Chen, Yuhao Lu, Jiwen Lu, and Jie Zhou, Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification, ECCV, 2020.
  • Ziwei Wang, Quan Zheng, Jiwen Lu, and Jie Zhou, Deep Hashing with Active Pairwise Supervision, ECCV, 2020.
  • Lijie Liu, Chufan Wu, Jiwen Lu, Lingxi Xie, and Jie Zhou, Reinforced Axial Refinement Network for Monocular 3D Object Detection, ECCV, 2020.
  • Yu Zheng, Danyang Zhang, Jiwen Lu, and Jie Zhou, Rotation-robust Intersection over Union for 3D Object Detection, ECCV, 2020.
  • Wenzhao Zheng, Jiwen Lu, and Jie Zhou, Structural Deep Metric Learning for Room Layout Estimation, ECCV, 2020.
  • Liangliang Ren, Yangyang Song, Jiwen Lu, and Jie Zhou, Spatial Geometric Reasoning for Room Layout Estimation via Deep Reinforcement Learning, ECCV, 2020.
  • Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, and Cho-Jui Hsieh, MetaDistiller: Network Self-boosting via Meta-learned Top-down Distillation, ECCV, 2020.
  • Wanhua Li, Yingqiang Zhang, Kangchen Lv, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Graph-Based Kinship Reasoning Network, ICME, 2020.
  • Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, and Jie Zhou, Deep Feature Disentanglement Learning for Bone Suppression in Chest Radiographs, ISBI, 2020.
  • Yansong Tang, Zanlin Ni, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, and Jie Zhou, Uncertainty-aware Score Distribution Learning for Action Quality Assessment, CVPR, 2020. (oral)
  • Yongming Rao, Jiwen Lu, and Jie Zhou, Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds, CVPR, 2020.
  • Wenzhao Zheng, Jiwen Lu, and Jie Zhou, Deep Metric Learning via Adaptive Learnable Assessment, CVPR, 2020.
  • Ziwei Wang, Ziyi Wu, Jiwen Lu, and Jie Zhou, BiDet: An Efficient Binarized Object Detector, CVPR, 2020.
  • Cheng Ma, Zhengyu Jiang, Yongming Rao, Jiwen Lu, and Jie Zhou, Deep Face Super-resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation, CVPR, 2020.
  • Cheng Ma, Yongming Rao, Yian Cheng, Ce Chen, Jiwen Lu, and Jie Zhou, Structure-preserving Super Resolution with Gradient Guidance, CVPR, 2020.
  • Guangyi Chen, Tianren Zheng, Jiwen Lu, and Jie Zhou, Deep Meta Metric Learning, ICCV, 2019.
  • Guangyi Chen, Chunze Lin, Liangliang Ren, Jiwen Lu, and Jie Zhou, Self-critical Attention Learning for Person Re-identification, ICCV, 2019.
  • Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, and Jie Zhou, Neighborhood Preserving Hashing for Scalable Video Retrieval, ICCV, 2019.
  • Yongcheng Liu, Bin Fan, Gaofeng Meng, Jiwen Lu, Shiming Xiang, and Chunhong Pan, DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing, ICCV, 2019.
  • Junlin Hu, Jiwen Lu, Li Liu, and Jie Zhou, Multi-View Geometric Mean Metric Learning for Kinship Verification, ICIP, 2019.
  • Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, and Jie Zhou, Breast Mass Detection in Mammograms via Blending Adversarial Learning, ISBI, 2019.
  • Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, and Jie Zhou, Hardness-aware Deep Metric Learning, CVPR, 2019. (oral)
  • Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou, COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis, CVPR, 2019.
  • Yueqi Duan, Jiwen Lu, and Jie Zhou, Uniformface: Learning Deep Equidistributed Representation for Face Recognition, CVPR, 2019.
  • Yueqi Duan, Lei Chen, Jiwen Lu, and Jie Zhou, Deep Embedding Learning with Discriminative Sampling Policy, CVPR, 2019.
  • Yueqi Duan, Yu Zheng, Jiwen Lu, Jie Zhou, and Qi Tian, Structural Relational Reasoning of Point Clouds, CVPR, 2019.
  • Wanhua Li, Jiwen Lu, Jianjiang Feng, Chunjing Xu, Jie Zhou, and Qi Tian, BridgeNet: A Continuity-aware Probabilistic Network for Age Estimation, CVPR, 2019.
  • Yongming Rao, Jiwen Lu, and Jie Zhou, Spherical Fractal Convolution Neural Networks for Point Cloud Recognition, CVPR, 2019.
  • Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou, Deep Fitting Degree Scoring Network for Monocular 3D Object Detection, CVPR, 2019.
  • Ziwei Wang, Jiwen Lu, Chenxin Tao, Jie Zhou, and Qi Tian, Learning Channel-wise Interactions for Binary Convolutional Neural Networks, CVPR, 2019.
  • Xin Yuan, Liangliang Ren, Jiwen Lu, and Jie Zhou, Enhanced Bayesian Compression via Deep Reinforcement Learning, CVPR, 2019.
  • Shaohui Liu, Yi Wei, Wang Zhao, and Jiwen Lu, Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction, CVPR, 2019.
  • Minghao Guo, Jiwen Lu, and Jie Zhou, Dual-agent Deep Reinforcement Learning for Deformable Face Tracking, ECCV, 2018. (oral)
  • Chunze Lin, Jiwen Lu, Gang Wang, and Jie Zhou, Graininess-aware Deep Feature Learning for Pedestrian Detection, ECCV, 2018.
  • Liangliang Ren, Jiwen Lu, Zifeng Wang, Qi Tian, and Jie Zhou, Collaborative Deep Reinforcement Learning for Multi-object Tracking, ECCV, 2018.
  • Lei Chen, Jiwen Lu, Zhanjie Song, and Jie Zhou, Part-activated Deep Reinforcement Learning for Action Prediction, ECCV, 2018.
  • Xin Yuan, Liangliang Ren, Jiwen Lu, and Jie Zhou, Relaxation-Free Deep Hashing via Policy Gradient, ECCV, 2018.
  • Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, and Jie Zhou, Deep Reinforcement Learning with Iterative Shift for Visual Tracking, ECCV, 2018.
  • Xudong Lin, Yueqi Duan, Jiwen Lu, and Jie Zhou, Deep Variational Metric Learning, ECCV, 2018.
  • Yansong Tang, Zian Wang, Jiwen Lu, Ming Yang, and Jie Zhou, Mining Semantics-preserving Attention for Group Activity Recognition, ACM MM, 2018. (oral)
  • Lijie Liu, Jiwen Lu, and Jie Zhou, Adversarial Transfer Networks for Visual Tracking, IROS, 2018.
  • Chunze Lin, Jiwen Lu, and Jie Zhou, Multi-grained Deep Feature Learning for Pedestrian Detection, ICME, 2018.
  • Cheng Ma, Zhixiang Chen, Jiwen Lu, and Jie Zhou, Rank-consistency Multi-label Deep Hashing, ICME, 2018. (Platinum Best Paper Award)
  • Yueqi Duan, Wenzhao Zheng, Xudong Lin, Jiwen Lu, and Jie Zhou, Deep Adversarial Metric Learning, CVPR, 2018.
  • Yueqi Duan, Ziwei Wang, Jiwen Lu, Xudong Lin, and Jie Zhou, GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning, CVPR, 2018.
  • Zhixiang Chen, Xin Yuan, Jiwen Lu, Qi Tian, and Jie Zhou, Deep Hashing via Discrepancy Minimization, CVPR, 2018.
  • Yansong Tang, Yi Tian, Jiwen Lu, Peiyang Li, and Jie Zhou, Deep Progressive Reinforcement Learning for Skeleton-based Action Recognition, CVPR, 2018.
  • Yongming Rao, Dahua Lin, Jiwen Lu, and Jie Zhou, Learning Globally Optimized Object Detector via Policy Gradient, CVPR, 2018.
  • Zhixiang Chen, Ruojin Cai, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Order-Sensitive Deep Hashing for Multimorbidity Medical Image Retrieval, MICCAI, 2018.
  • Jifei Han, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Multi-scale Deep Representation Learning for Face Detection, VCIP, 2018.
  • Venice Erin Liong, Jiwen Lu, and Yap-Peng Tan, Multi-Label Deep Sparse Hashing, VCIP, 2018.
  • Venice Erin Liong, Jiwen Lu, and Yap-Peng Tan, Learning a Cross-modal Hashing Network for Multimedia Search, ICIP, 2018.
  • Ji Lin, Yongming Rao, Jiwen Lu, and Jie Zhou, Runtime Neural Pruning, NeurIPS, 2017.
  • Yongming Rao, Jiwen Lu, and Jie Zhou, Attention-aware Deep Reinforcement Learning for Video Based Face Recognition, ICCV, 2017.
  • Yongming Rao, Ji Lin, Jiwen Lu, and Jie Zhou, Learning Discriminative Aggregation Network for Video-Based Face Recognition, ICCV, 2017.
  • Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Cross-modal Deep Variational Hashing, ICCV, 2017.
  • Fangyu Liu, Shuaipeng Li, Liqiang Zhang, Chenghu Zhou, Rongtian Ye, Yuebin Wang and Jiwen Lu, 3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds, ICCV, 2017.
  • Guangyi Chen, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Localized Multi-Kernel Discriminative Canonical Correlation Analysis for Video-based Person Re-identification, ICIP, 2017.
  • Yansong Tang, Yi Tian, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Action Recognition in RGB-D Egocentric Videos, ICIP, 2017.
  • Wencheng Zhu, Jiwen Lu, and Jie Zhou, Nonlinear Subspace Clustering, ICIP, 2017.
  • Miao Xu, Jianjiang Feng, Jiwen Lu, and Jie Zhou, Latent Fingerprint Enhancement Using Gabor and Minutia Dictionaries, ICIP, 2017.
  • Venice Erin Liong, Jiwen Lu, and Yap-Peng Tan, Learning a Cross-modal Deep Hashing Network for Image Search, ICIP, 2017.
  • Jiahong Ouyang, Jianjiang Feng, Jiwen Lu, Zhenhua Guo, and Jie Zhou, Fingerprint Pose Estimation Based on Faster R-CNN, IJCB, 2017.
  • Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, and Jie Zhou, Learning Deep Binary Descriptor with Multi-Quantization, CVPR, 2017.
  • Ji Lin, Liangliang Ren, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Consistent-aware Deep Learning for Person Re-identification in a Camera Network, CVPR, 2017.
  • Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Topology Preserving Graph Matching for Partial Face Recognition, ICME, 2017.
  • Xin Yuan, Jiwen Lu, Zhixiang Chen, Jianjiang Feng, and Jie Zhou, Reconstruction-based Supervised Hashing, ICME, 2017.
  • Hao Liu, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Ordinal Deep Feature Learning for Facial Age Estimation, FG, 2017.
  • Xi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, and Zhang Yi, Cascade Subspace Clustering, AAAI, 2017.
  • Rahul Rama Varior, Bing Shuai, Jiwen Lu, Dong Xu, and Gang Wang, A Siamese Long Short-Term Memory Architecture for Human Re-identification, ECCV, 2016.
  • Junlin Hu, Jiwen Lu, Junsong Yuan, and Yap-Peng Tan, Collaborative Multi-view Metric Learning for Visual Classification, ICME, 2016.
  • Kevin Lin, Jiwen Lu, Chu-Song Chen, and Jie Zhou, Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks, CVPR, 2016.
  • Anran Wang, Jianfei Cai, Jiwen Lu, and Tat Jen Cham, Modality and Component Aware Feature Fusion for RGB-D Scene Classification, CVPR, 2016.
  • Jiwen Lu, Venice Erin Liong, and Jie Zhou, Simultaneous Local Binary Feature Learning and Encoding for Face Recognition, ICCV, 2015.
  • Lin Ma, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Multiple Feature fusion via Weighted Entropy for Visual Tracking, ICCV, 2015.
  • Anran Wang, Jianfei Cai, Jiwen Lu, and Tat Jen Cham, MMSS: Multi-modal Sharable and Specific Feature Learning for RGB-D Object Recognition, ICCV, 2015.
  • Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, and Bo Lang, Multi-view complementary Hash Tables for Nearest Neighbor Search, ICCV, 2015.
  • Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu, and Jie Zhou, Local Subspace Collaborated Tracking, ICCV, 2015.
  • Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin, and Jie Zhou, Multi-manifold Deep Metric Learning for Image Set Classification, CVPR, 2015.
  • Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, and Jie Zhou, Deep Hashing for Compact Binary Codes Learning, CVPR, 2015.
  • Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Deep Transfer Metric Learning, CVPR, 2015.
  • Jiwen Lu, Junlin Hu, Venice Erin Liong, Xiuzhuang Zhou, Andrea Bottino, Ihtesham Ul Islam, Tiago Figueiredo Vieira, Xiaoqian Qin, Xiaoyang Tan, Songcan Chen, Shahar Mahpod, Yosi Keller, Lilei Zheng, Khalid Idrissi, Christophe Garcia, Stefan Duffner, Atilla Baskurt, Modesto Castrillon-Santana, and Javier Lorenzo-Navarro, The FG 2015 Kinship Verification in the Wild Evaluation, FG, 2015. (oral)
  • Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Fine-grained Face Verification: Dataset and Baseline Results, ICB, 2015.
  • Junlin Hu, Jiwen Lu, Xiuzhuang Zhou, and Yap-Peng Tan, Discriminative Transfer Learning for Single-sample Face Recognition, ICB, 2015.
  • Yi Jin, Jiwen Lu, and Qiuqi Ruan, Large Margin Coupled Feature Learning for Cross-modal Face Recognition, ICB, 2015.
  • Venice Erin Liong, Yongxin Ge, and Jiwen Lu, Discriminative Regularized Metric Learning for Person Re-identification, ICB, 2015.
  • Junlin Hu, Jiwen Lu, Junsong Yuan, and Yap-Peng Tan, Large Margin Multi-metric Learning for Face and Kinship Verification in the wild, ACCV, 2014.
  • Viet Anh Nguyen, Jiwen Lu, Minh N. Do, Supervised Discriminative Hashing for Compact Binary Codes, ACM MM, 2014. (short paper)
  • Jiwen Lu, Junlin Hu, Xiuzhuang Zhou, Jie Zhou, Modesto Castrillon-Santana, Javier Lorenzo-Navarro, Lu Kou, Yuanyuan Shang, Andrea Bottino, and Tiago Figueiredo Vieira, Kinship Verification in the Wild: The First Kinship Verification Competition, IJCB, 2014. (oral)
  • Jiwen Lu, Gang Wang, Weihong Deng, and Pierre Moulin, Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition, ECCV, 2014.
  • Tzu-Yi Hung, Jiwen Lu, Yap-Peng Tan, and Shenghua Gao, Efficient Sparsity Estimation via Marginal-Lasso Coding, ECCV, 2014.
  • Anran Wang, Jiwen Lu, Gang Wang, Jianfei Cai, and Tat-Jen Cham, Multi-modal Unsupervised Feature Learning for RGB-D Scene Labeling, ECCV, 2014.
  • Yi Jin, Jiwen Lu, Qiuqi Ruan, and Yap-Peng Tan, Complete Discriminative Feature Learning: A New Approach for Heterogeneous Face Recognition, ICME, 2014.
  • Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Discriminative Deep Metric Learning for Face Verification in the Wild, CVPR, 2014.
  • Anran Wang, Jiwen Lu, Jianfei Cai, Gang Wang, and Tat-Jen Cham, Estimating Spatial Layout of Rooms from RGB-D Videos, MMSP, 2014. (Top 10% Paper Award)
  • Jiwen Lu, Gang Wang, and Pierre Moulin, Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-kernel Metric Learning, ICCV, 2013.
  • Renliang Weng, Jiwen Lu, Junlin Hu, Gao Yang, and Yap-Peng Tan, Robust Feature Set Matching for Partial Face Recognition, ICCV, 2013.
  • Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Robust Partial Face Recognition Using Instance-to-class Distance, VCIP, 2013.
  • Tzu-Yi Hung, Jiwen Lu, Yap-Peng Tan, Graph-based Sparse Coding and Embedding for Activity-based Human Identification, ICME, 2013. (oral)
  • Likun Huang, Jiwen Lu, Yap-Peng Tan, Collaborative Reconstruction-based Manifold-manifold Distance for Face Recognition with Image Sets, ICME, 2013.
  • Junlin Hu, Yongxin Ge, Jiwen Lu, and Xin Feng Makeup-robust Face Verification, ICASSP, 2013.
  • Yongxin Ge, Jiwen Lu, Wu Fan, and Dan Yang, Age Estimation from Human Body Images, ICASSP, 2013.
  • Tzu-Yi Hung, Jiwen Lu, Junlin Hu, Yap-Peng Tan, and Yongxin Ge, Activity-based Human Identification, ICASSP, 2013.
  • Tzu-Yi Huang, Jiwen Lu, Yap-Peng Tan, Cross-Scene Abnormal Event Detection, ISCAS, 2013.
  • Diana Sungatullina, Jiwen Lu, Gang Wang, Pierre Moulin, Multiview Discriminative Learning for Age-Invariant Face Recognition, FG, 2013.
  • Renliang Weng, Jiwen Lu, Gao Yang, Yap-Peng Tan, Multi-Feature Ordinal Ranking for Facial Age Estimation, FG, 2013.
  • Jiwen Lu, Gang Wang, and Thomas Huang, Gait-based Gender Classification in Unconstrained Environments, ICPR, 2012. (oral)
  • Likun Huang, Jiwen Lu, and Yap-Peng Tan, Learning Modality-invariant Features for Heterogeneous Face Recognition, ICPR, 2012. (oral)
  • Jiwen Lu, Junlin Hu, Xiuzhuang Zhou, and Yuanyuan Shang, Activity-based Person Identification Using Sparse Coding and Discriminative Metric Learning, ACM MM, 2012. (short paper)
  • Jiwen Lu, Junlin Hu, Xiuzhuang Zhou, Yuanyuan Shang, Yap-Peng Tan, and Gang Wang, Neighborhood Repulsed Metric Learning for Kinship Verification, CVPR, 2012.
  • Xiuzhuang Zhou, Jiwen Lu, Junlin Hu, and Yuanyuan Shang, Gabor-based Gradient Orientation Pyramid for Kinship Verification under Uncontrolled Environments, ACM MM,2012. (short paper)
  • Likun Huang, Jiwen Lu, Gao Yang, and Yap-Peng Tan, Generalized Subspace Distance for Set-to-set Image Classification, ISCAS, 2012. (oral)
  • Jiwen Lu, Yap-Peng Tan, and Gang Wang, Discriminative Multi-manifold Analysis for Face Recognition from a Single Training Sample Per Person, ICCV, 2011.
  • Jiwen Lu and Yap-Peng Tan, Adaptive Maximum Margin Criterion for Image Classification, ICME, 2011. (oral)
  • Jiwen Lu and Yap-Peng Tan, Locality Repulsion Projections for Image-to-set Face Recognition, ICME, 2011. (oral)
  • Nini Liu, Jiwen Lu, Yap-Peng Tan, and Maodong Li, Set-to-set Gait Recognition Across Varying Views and Walking Conditions, ICME, 2011. (oral)
  • Jiwen Lu and Yap-Peng Tan, Fusing Shape and Texture Information for Facial Age Estimation, ICASSP, 2011.
  • Xiuzhuang Zhou, Junlin Hu, Jiwen Lu, Yuanyuan Shang, and Yong Guan, Kinship Verification from Facial Images under Uncontrolled Conditions, ACM MM, 2011 (short)
  • Tian Xia, Jiwen Lu, and Yap-Peng Tan, Face Recognition Using an Enhanced Age Simulation Method, VCIP, 2011. (oral)
  • Jiwen Lu and Yap-Peng Tan, Cost-sensitive Subspace Learning for Human Age Estimation, ICIP, 2010. (oral)
  • Jiwen Lu and Yap-Peng Tan, View Recognition of Human Gait Sequences in Videos, ICIP, 2010. (oral)
  • Jiwen Lu and Yap-Peng Tan, Cost-sensitive Subspace Learning for Face Recognition, CVPR, 2010.
  • Jiwen Lu and Yap-Peng Tan, Gait-based Human Age Estimation, ICASSP, 2010. (oral)
  • Jiwen Lu and Yap-Peng Tan, Doubly Weighted Nonnegative Matrix Factorization for Imbalanced Face Recognition, ICASSP, 2009.
  • Jiwen Lu and Yap-Peng Tan, Two-directional Two-dimensional Discriminant Locality Preserving Projections for Image Recognition, ICASSP, 2009.
  • Jiwen Lu and Yap-Peng Tan, Uncorrelated Multilinear Geometry Preserving Projections for Multimodal Biometrics Recognition, ISCAS, 2009. (oral)
  • Nini Liu, Jiwen Lu, Yap-Peng Tan, and Zhenzhong Chen, Enhanced Gait Recognition Based on Weighted Dynamic Feature, ICIP, 2009.