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.
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.
