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个人简介

青年研究员,博士生导师。国家级青年人才计划支持,先后主持国家自然科学基金青年项目和面上项目、临港国家实验室“求索杰出青年计划”,世界人工智能大会青年优秀论文奖,上海科技青年35人引领计划 (35U35)。博士毕业于伦敦玛丽女王大学电子工程与计算机科学系,曾任职于牛津大学工程科学系博士后研究员,英国剑桥三星人工智能研究院研究科学家。其发表的论文据 Google Scholar 统计总引用次数超过 13000 次,担任 NeurIPS 2023、CVPR 2023 & 2024 领域主席 (Area Chair)。

研究领域

计算机视觉与深度学习,具体包括神经网络理论研究、2D/3D视觉感知与生成

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

A Hybrid Approach for Cross-modality Pose Estimation Between Image and Point Cloud, Ze Huang, Li Sun, Qibin He, Zhongyang Xiao, Xinhui Bai, Hongyuan Yuan, Song-Zhi Su, Li Zhang, IEEE Robotics and Automation Letters (RA-L), 2024 Softmax-free Linear Transformers, Jiachen Lu, Junge Zhang, Xiatian Zhu, Jianfeng Feng, Tao Xiang, Li Zhang, IJCV 2024 [paper] [code] Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting, Zeyu Yang, Hongye Yang, Zijie Pan, Li Zhang, ICLR 2024 [project page] [code] Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping, Zijie Pan, Jiachen Lu, Xiatian Zhu, Li Zhang, ICLR 2024 [project page] [code] Consistent4D: Consistent 360 Dynamic Object Generation from Monocular Video, Yanqin Jiang, Li Zhang, Jin Gao, Weiming Hu, Yao Yao, ICLR 2024 [project page] [code] NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields, Junge Zhang, Feihu Zhang, Shaochen Kuang, Li Zhang, AAAI 2024 (Oral) [code] LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity Enhancement, Renyuan Peng, Xinyue Cai, Hang Xu, Jiachen Lu, Feng Wen, Wei Zhang, Li Zhang, AAAI 2024 [code] Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach, Jiachen Lu, Renyuan Peng, Xinyue Cai, Hang Xu, Hongyang Li, Feng Wen, Wei Zhang, Li Zhang, ICCV 2023 (Oral) [code] PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection, Ming Nie, Yujing Xue, Chunwei Wang, Chaoqiang Ye, Hang Xu, Xinge Zhu, Qingqiu Huang, Michael Bi Mi, Xinchao Wang, Li Zhang, ICCV 2023 [code] Persistent Object Identification Leveraging Non-Visual Markers, Michael PJ Camilleri, Li Zhang, Rasneer S Bains, Andrew Zisserman, Christopher KI Williams, Machine Vision and Applications 2023 SUIT: Learning Significance-guided Information for 3D Temporal Detection, Zheyuan Zhou, Jiachen Lu, Yihan Zeng, Hang Xu, Li Zhang, IROS 2023 (Oral) Generative Semantic Segmentation, Jiaqi Chen, Jiachen Lu, Xiatian Zhu, Li Zhang, CVPR 2023 [code] FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks, Xiao Han, Xiatian Zhu, Licheng Yu, Li Zhang, Yi-Zhe Song, Tao Xiang, CVPR 2023 (Highlight) [code] S-NeRF: Neural Radiance Fields for Street Views, Ziyang Xie, Junge Zhang, Wenye Li, Feihu Zhang, Li Zhang, ICLR 2023 [project page] [code] SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation, Qiang Wan, Jiachen Lu, Zilong Huang, Gang Yu, Li Zhang, ICLR 2023 [paper] [code] PolarFormer: Multi-camera 3D Object Detection with Polar Transformers, Yanqin Jiang, Li Zhang, Zhenwei Miao, Xiatian Zhu, Jin Gao, Weiming Hu, Yu-Gang Jiang, AAAI 2023 (Oral) [paper] [code] Dynamic Graph Message Passing Network for Visual Recognition, Li Zhang, Mohan Chen, Anurag Arnab, Xiangyang Xue, Philip H.S. Torr IEEE TPAMI 2023 [paper] [code] SiamMask: A Framework for Fast Online Object Tracking and Segmentation, Weiming Hu, Qiang Wang, Li Zhang, Luca Bertinetto, Philip H.S. Torr TPAMI 2023 [code] ImpDet: Exploring Implicit Fields for 3D Object Detection, Xuelin Qian, Li Wang, Yi Zhu, Li Zhang, Yanwei Fu, Xiangyang Xue, WACV 2023 [paper] Rethinking Local and Global Feature Representation for Dense Prediction, Mohan Chen, Li Zhang, Rui Feng, Xiangyang Xue, Jianfeng Feng, Pattern Recognition 2023 DeepInteraction: 3D Object Detection via Modality Interaction, Zeyu Yang, Jiaqi Chen, Zhenwei Miao, Wei Li, Xiatian Zhu, Li Zhang, NeurIPS 2022 (Spotlight) [code] When, Where and How does it fail A Spatial-temporal Visual Analytics Approach for Interpretable Object Detection in Autonomous Driving, Junhong Wang, Yun Li, Zhaoyu Zhou, Chengshun Wang, Yijie Hou, Li Zhang, Xiangyang Xue, Michael Kamp, Xiaolong (Luke) Zhang, Siming Chen IEEE TVCG 2022 Learning Ego 3D Representation as Ray Tracing, Jiachen Lu, Zheyuan Zhou, Xiatian Zhu, Hang Xu, Li Zhang, ECCV 2022 [code] [demo] Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling, Hengyuan Ma, Li Zhang, Xiatian Zhu, Jianfeng Feng, ECCV 2022 [code] FashionViL: Fashion-Focused Vision-and-Language Representation Learning, Xiao Han, Licheng Yu, Xiatian Zhu, Li Zhang, Yi-Zhe Song, and Tao Xiang, ECCV 2022 [code] RCLane: Relay Chain Prediction for Lane Detection, Shenghua Xu, Xinyue Cai, Bin Zhao, Li Zhang, Hang Xu, Yanwei Fu, Xiangyang Xue, ECCV 2022 ONCE-3DLanes: Building Monocular 3D Lane Detection, Fan Yan, Ming Nie, Xinyue Cai, Jianhua Han, Hang Xu, Zhen Yang, Chaoqiang Ye, Yanwei Fu, Michael Bi Mi, Li Zhang CVPR 2022 [project page] SGM3D: Stereo Guided Monocular 3D Object Detection, Zheyuan Zhou, Liang Du, Xiaoqing Ye, Zhikang Zou, Xiao Tan, Errui Ding, Li Zhang, Xiangyang Xue, Jianfeng Feng, IEEE Robotics and Automation Letters (RAL) 2022, [paper] SOFT: Softmax-free Transformer with Linear Complexity, Jiachen Lu, Jinghan Yao, Junge Zhang, Xiatian Zhu, Hang Xu, Weiguo Gao, Chunjing Xu, Tao Xiang, Li Zhang, NeurIPS 2021 (Spotlight) [code] Progressive Coordinate Transforms for Monocular 3D Object Detection, Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, Xiangyang Xue, NeurIPS 2021 [code] The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection, Zhikang Zou, Xiaoqing Ye, Liang Du, Xianhui Cheng, Xiao Tan, Li Zhang, Jianfeng Feng, Xiangyang Xue, Errui Ding, ICCV 2021 Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer, Zhihe Lu, Sen He, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang, ICCV 2021 [code] Boundary-sensitive Pretraining for Temporal Localization in Videos, Mengmeng Xu, Victor Escorcia, Brais Martínez, Juan-Manuel Perez-Rua, Xiatian Zhu, Li Zhang, Bernard Ghanem, Tao Xiang, ICCV 2021 Text-Based Person Search with Limited Data, Xiao Han, Sen He, Li Zhang, Tao Xiang, BMVC 2021 Few-shot Action Recognition with Prototype-centered Attentive Learning, Xiatian Zhu, Antoine Toisoul, Juan-Manuel Prez-Ra, Li Zhang, Brais Martinez, Tao Xiang, BMVC 2021 Rethinking Local and Global Feature Representation for Semantic Segmentation, Mohan Chen, Xinxuan Zhao, Bingfei Fu, Li Zhang, Xiangyang Xue, BMVC 2021 Dual Prior Learning for Blind and Blended Image Restoration, Xin Jin, Li Zhang, Chaowei Shan, Xin Li, Zhibo Chen, IEEE TIP 2021 Towards Efficient Scene Understanding via Squeeze Reasoning, Xiangtai Li, Xia Li, Ansheng You, Li Zhang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Zhouchen Lin, IEEE TIP 2021 [code] Global Aggregation then Local Distribution for Scene Parsing, Xiangtai Li, Li Zhang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Xiatian Zhu, Tao Xiang, IEEE TIP 2021 [code] How to trust unlabeled data Instance Credibility Inference for Few-Shot Learning, Yikai Wang, Li Zhang, Yuan Yao, Yanwei Fu TPAMI 2021 [paper] [code] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers, Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip HS Torr, Li Zhang CVPR 2021 [paper] [code] Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection, Li Wang, Liang Du, Xiaoqing Ye, Yanwei Fu, Guodong Guo, Xiangyang Xue, Jianfeng Feng, Li Zhang CVPR 2021 [paper] [code] Learning Dynamic Alignment via Meta-filter for Few-shot Learning, Chengming Xu, Yanwei Fu, Chen Liu, Chengjie Wang, Jilin Li, Feiyue Huang, Li Zhang, Xiangyang Xue, CVPR 2021 [code] Delving into Data: Effectively Substitute Training for Black-box Attack, Wenxuan Wang, Bangjie Yin, Taiping Yao, Li Zhang, Yanwei Fu, Shouhong Ding, Jilin Li, Feiyue Huang, Xiangyang Xue CVPR 2021 Learning a Few-shot Embedding Model with Contrastive Learning, Chen Liu, Yanwei Fu, Chengming Xu, Siqian Yang, Jilin Li, Chengjie Wang, Li Zhang AAAI 2021 [code] Long-Term Cloth-Changing Person Re-identification, Xuelin Qian, Wenxuan Wang, Li Zhang, Fangrui Zhu, Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue ACCV 2020 (Oral) [paper] [project page] Dynamic Depth Fusion and Transformation for Monocular 3D Object Detection, Erli Ouyang*, Li Zhang*, Mohan Chen, Anurag Arnab, Yanwei Fu ACCV 2020 [paper] Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition, Yuqian Fu*, Li Zhang*, Junke Wang, Yanwei Fu, Yu-Gang Jiang ACM MM 2020 (Oral) [paper] Few-shot Action Recognition with Permutation-invariant Attention, Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H.S. Torr, Piotr Koniusz ECCV 2020 (Spotlight) [paper] XingGAN for Person Image Generation, Hao Tang, Song Bai, Li Zhang, Philip H.S. Torr, Nicu Sebe ECCV 2020 [paper] [code] Improving Semantic Segmentation via Decoupled Body and Edge Supervision, Xiangtai Li, Xia Li, Li Zhang, Guangliang Cheng, Jianping Shi, Zhouchen Lin, Shaohua Tan, Yunhai Tong ECCV 2020 [paper] [code] Dynamic Graph Message Passing Network, Li Zhang, Dan Xu, Anurag Arnab, Philip H.S. Torr CVPR 2020 (Oral) [paper] [code] Strip Pooling: Rethinking Spatial Pooling for Scene Parsing, Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng CVPR 2020 [paper] [code] Instance Credibility Inference for Few-Shot Learning, Yikai Wang, Chengming Xu, Chen Liu, Li Zhang, Yanwei Fu CVPR 2020 [paper] [code] Style Normalization and Restitution for Generalizable Person Re-identification, Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen, Li Zhang CVPR 2020 [paper] Dual Graph Convolutional Network for Semantic Segmentation, Li Zhang, Xiangtai Li, Anurag Arnab, Kuiyuan Yang, Yunhai Tong, Philip H.S. Torr BMVC 2019 [paper] [code] Global Aggregation then Local Distribution in Fully Convolutional Networks, Xiangtai Li, Li Zhang, Ansheng You, Maoke Yang, Kuiyuan Yang, Yunhai Tong BMVC 2019 [paper] [code] Fast Online Object Tracking and Segmentation: A Unifying Approach, Qiang Wang*, Li Zhang*, Luca Bertinetto*, Weiming Hu, Philip H.S. Torr CVPR 2019 [paper] [code] Learning to Compare: Relation Network for Few-Shot Learning, Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H.S. Torr, Timothy M. Hospedales CVPR 2018 [paper] [FSL code] [ZSL code] Learning a Deep Embedding Model for Zero-Shot Learning, Li Zhang, Tao Xiang, Shaogang Gong CVPR 2017 [paper] [code] Learning a Discriminative Null Space for Person Re-identification, Li Zhang, Tao Xiang, Shaogang Gong CVPR 2016 [paper] [code]

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