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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 (T-PAMI), 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 (T-PAMI), 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 (T-PAMI), 2023.
Wenzhao Zheng, Jiwen Lu, and Jie Zhou, Deep Metric Learning with Adaptively Composite Dynamic Constraints, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 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 (T-PAMI), 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 (T-PAMI), 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 (T-PAMI), 2023.
Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, 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 (T-PAMI), 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 (T-PAMI), 2023.
Haoxin Li, Wei-Shi Zheng, Jianguo Zhang, Haifeng Hu, Jiwen Lu, and Jian-Huang Lai, Egocentric Action Recognition by Automatic Relation Modeling, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 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 (T-PAMI), 2023.
Cheng Ma, Yongming Rao, Jiwen Lu, and Jie Zhou, Structure-Preserving Image Super-Resolution, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022.
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 (T-PAMI), 2022.
Kun Song, Junwei Han, Gong Cheng, Jiwen Lu, and Feiping Nie, Adaptive Neighborhood Metric Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 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 (T-PAMI), 2021.
Wenzhao Zheng, Jiwen Lu, and Jie Zhou, Hardness-Aware Deep Metric Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 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 (T-PAMI) , 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 (T-PAMI) , 2020.
Venice Erin Liong, Jiwen Lu, Ling-Yu Duan, and Yap-Peng Tan, Deep Variational and Structural Hashing, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 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 (T-PAMI), 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 (T-PAMI), 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 (T-PAMI), 2019.
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 (T-PAMI), 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 (T-PAMI) , 2018.
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 (T-PAMI) , 2018.
Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Sharable and Individual Multi-view Metric Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) , 2018.
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 (T-PAMI) , 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 (T-PAMI) , 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 (T-PAMI) , 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 (T-PAMI) , 2013.
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