Journal Papers
- 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.
Conference Papers
- 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.
