Journal Papers
- Ziyi Wang, Yi Wei, Yongming Rao, Jie Zhou, and Jiwen Lu, 3D Point Cloud Point-Voxel Correlation Field for Scene Flow Estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
- Shuai Shen, Wanhua Li, Zheng Zhu, Jie Zhou, and Jiwen Lu, STAR-FC: Structure-Aware Face Clustering on Ultra-Large-Scale Graphs, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
- Xumin Yu, Yongming Rao, Ziyi Wang, Jiwen Lu, and Jie Zhou, AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
- 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.
- Bingyao Yu, Xiu Li, Wanhua Li, Jie Zhou, and Jiwen Lu, Discrepancy-aware Meta-learning for Zero-shot Face Manipulation Detection, IEEE Transactions on Image Processing, 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
- Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, and Jiwen Lu, UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models, NeurIPS, 2023.
- Yinan Liang, Ziwei Xu, Xiuwei Xu, Yansong Tang, Jie Zhou, and Jiwen Lu, MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory, NeurIPS, 2023.
- Han Xiao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, and Jiwen Lu, Token-Label Alignment for Vision Transformers, ICCV, 2023.
- Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, and Jiwen Lu, Unleashing Text-to-Image Diffusion Models for Visual Perception, ICCV, 2023.
- Shuai Shen, Wanhua Li, Xiaobing Wang, Dafeng zhang, Zhezhu Jin, Jie Zhou, and Jiwen Lu, CLIP-Cluster: CLIP-Guided Attribute Hallucination for Face Clustering, ICCV, 2023.
- Junlong Li, Bingyao Yu, Yongming Rao, Jie Zhou, and Jiwen Lu, TCOVIS: Temporally Consistent Online Video Instance Segmentation, ICCV, 2023.
- Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, and Jiwen Lu, Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models, ICCV, 2023.
- Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, and Jiwen Lu, OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions, ICCV, 2023.
- Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, and Jiwen Lu, SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving, ICCV, 2023.
- Zhiheng Li, Wenjia Geng, Muheng Li, Lei Chen, Yansong Tang, Jiwen Lu, and Jie Zhou, Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space Learning, ICCV, 2023.
- Xiaofeng Wang, Zheng Zhu, Wenbo Xu, Yunpeng Zhang, Yi Wei, Xu Chi, Yun Ye, Dalong Du, Jiwen Lu, and Xingang Wang, OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception, ICCV, 2023
- 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.
- Junlong Li, Guangyi Chen, Yansong Tang, Jiana Bao, Kun Zhang, Jie Zhou, and Jiwen Lu, GAIN: On the Generalization of Instructional Action Understanding, ICLR, 2023.
- Borui Zhang. Wenzhao Zheng, Jie Zhou, and Jiwen Lu, BORT: Towards Explainable Neural Networks with Bounded Orthogonal Constraint, ICLR, 2023.
- Yunpeng Zhang, Wenzhao Zheng, Zhueng Zhu, Guang Huang, Jiwen Lu, and Jie Zhou, A Simple Baseline for Multi-Camera 3D Object Detection, AAAI, 2023.
