Li, Jun

86 publications

CVPR 2025 Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging Xianrui Li, Yufei Cui, Jun Li, Antoni B. Chan

CVPR 2025 AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing Niu Lian, Jun Li, Jinpeng Wang, Ruisheng Luo, Yaowei Wang, Shu-Tao Xia, Bin Chen

CVPR 2025 Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Zhiqiang Yan, Zhengxue Wang, Kun Wang, Jun Li, Jian Yang

NeurIPS 2025 Convex Potential Mirror Langevin Algorithm for Efficient Sampling of Energy-Based Models Yang Zitao, Amin Ullah, Shuai Li, Li Fuxin, Jun Li

AAAI 2025 Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video Junkai Fan, Kun Wang, Zhiqiang Yan, Xiang Chen, Shangbing Gao, Jun Li, Jian Yang

ICCV 2025 DuCos: Duality Constrained Depth Super-Resolution via Foundation Model Zhiqiang Yan, Zhengxue Wang, Haoye Dong, Jun Li, Jian Yang, Gim Hee Lee

AAAI 2025 Efficient Self-Supervised Video Hashing with Selective State Spaces Jinpeng Wang, Niu Lian, Jun Li, Yuting Wang, Yan Feng, Bin Chen, Yongbing Zhang, Shu-Tao Xia

NeurIPS 2025 Enhancing Contrastive Learning with Variable Similarity Haowen Cui, Shuo Chen, Jun Li, Jian Yang

ICCV 2025 Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning Jun Li, Jinpeng Wang, Chaolei Tan, Niu Lian, Long Chen, Yaowei Wang, Min Zhang, Shu-Tao Xia, Bin Chen

AAAI 2025 Exploiting Multimodal Spatial-Temporal Patterns for Video Object Tracking Xiantao Hu, Ying Tai, Xu Zhao, Chen Zhao, Zhenyu Zhang, Jun Li, Bineng Zhong, Jian Yang

AAAI 2025 Guided Real Image Dehazing Using YCbCr Color Space Wenxuan Fang, Junkai Fan, Yu Zheng, Jiangwei Weng, Ying Tai, Jun Li

AAAI 2025 Harmonious Music-Driven Group Choreography with Trajectory-Controllable Diffusion Yuqin Dai, Wanlu Zhu, Ronghui Li, Zeping Ren, Xiangzheng Zhou, Jixuan Ying, Jun Li, Jian Yang

AAAI 2025 Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory Sizhuo Jin, Shuo Chen, Jianjun Qian, Ying Tai, Jun Li

NeurIPS 2025 NOVA: A Benchmark for Rare Anomaly Localization and Clinical Reasoning in Brain MRI Cosmin I. Bercea, Jun Li, Philipp Raffler, Evamaria Olga Riedel, Lena Schmitzer, Angela Kurz, Felix Bitzer, Paula Roßmüller, Julian Canisius, Mirjam L. Beyrle, Che Liu, Wenjia Bai, Bernhard Kainz, Julia A. Schnabel, Benedikt Wiestler

AAAI 2025 Pre-Training a Density-Aware Pose Transformer for Robust LiDAR-Based 3D Human Pose Estimation Xiaoqi An, Lin Zhao, Chen Gong, Jun Li, Jian Yang

ICCV 2025 RAGD: Regional-Aware Diffusion Model for Text-to-Image Generation Zhennan Chen, Yajie Li, Haofan Wang, Zhibo Chen, Zhengkai Jiang, Jun Li, Qian Wang, Jian Yang, Ying Tai

ICLR 2025 Reading Your Heart: Learning ECG Words and Sentences via Pre-Training ECG Language Model Jiarui Jin, Haoyu Wang, Hongyan Li, Jun Li, Jiahui Pan, Shenda Hong

CVPR 2025 Recover and Match: Open-Vocabulary Multi-Label Recognition Through Knowledge-Constrained Optimal Transport Hao Tan, Zichang Tan, Jun Li, Ajian Liu, Jun Wan, Zhen Lei

CVPR 2025 TraF-Align: Trajectory-Aware Feature Alignment for Asynchronous Multi-Agent Perception Zhiying Song, Lei Yang, Fuxi Wen, Jun Li

CVPR 2025 UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming Hao Lin, Ke Wu, Jie Li, Jun Li, Wu-Jun Li

NeurIPS 2025 Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization Xinyan Su, Zhiheng Zhang, Jiyan Qiu, Zhaojuan Yue, Jun Li

NeurIPS 2025 V2X-Radar: A Multi-Modal Dataset with 4D Radar for Cooperative Perception Lei Yang, Xinyu Zhang, Jun Li, Chen Wang, Jiaqi Ma, Zhiying Song, Tong Zhao, Ziying Song, Li Wang, Mo Zhou, Yang Shen, Kai Wu, Chen Lv

ICML 2025 Volume-Aware Distance for Robust Similarity Learning Shuo Chen, Chen Gong, Jun Li, Jian Yang

AAAI 2024 AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization Kun Wang, Zhiqiang Yan, Huang Tian, Zhenyu Zhang, Xiang Li, Jun Li, Jian Yang

AAAI 2024 Compound Text-Guided Prompt Tuning via Image-Adaptive Cues Hao Tan, Jun Li, Yizhuang Zhou, Jun Wan, Zhen Lei, Xiangyu Zhang

NeurIPS 2024 DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain Kun Wang, Zhiqiang Yan, Junkai Fan, Wanlu Zhu, Xiang Li, Jun Li, Jian Yang

ECCV 2024 Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem Qianliang Wu, Haobo Jiang, Lei Luo, Jun Li, Yaqing Ding, Jin Xie, Jian Yang

CVPR 2024 Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance Junkai Fan, Jiangwei Weng, Kun Wang, Yijun Yang, Jianjun Qian, Jun Li, Jian Yang

NeurIPS 2024 MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-Then-Local State Space Jiangwei Weng, Zhiqiang Yan, Ying Tai, Jianjun Qian, Jian Yang, Jun Li

NeurIPS 2024 Novel Object Synthesis via Adaptive Text-Image Harmony Zeren Xiong, Zedong Zhang, Zikun Chen, Shuo Chen, Xiang Li, Gan Sun, Jian Yang, Jun Li

ECCV 2024 TP2O: Creative Text Pair-to-Object Generation Using Balance Swap-Sampling Jun Li, Zedong Zhang, Jian Yang

AAAI 2024 Towards Balanced Alignment: Modal-Enhanced Semantic Modeling for Video Moment Retrieval Zhihang Liu, Jun Li, Hongtao Xie, Pandeng Li, Jiannan Ge, Sun'ao Liu, Guoqing Jin

CVPR 2024 Tri-Perspective View Decomposition for Geometry-Aware Depth Completion Zhiqiang Yan, Yuankai Lin, Kun Wang, Yupeng Zheng, Yufei Wang, Zhenyu Zhang, Jun Li, Jian Yang

CVPR 2023 BEVHeight: A Robust Framework for Vision-Based Roadside 3D Object Detection Lei Yang, Kaicheng Yu, Tao Tang, Jun Li, Kun Yuan, Li Wang, Xinyu Zhang, Peng Chen

ICCV 2023 Creative Birds: Self-Supervised Single-View 3D Style Transfer Renke Wang, Guimin Que, Shuo Chen, Xiang Li, Jun Li, Jian Yang

AAAI 2023 Curriculum Temperature for Knowledge Distillation Zheng Li, Xiang Li, Lingfeng Yang, Borui Zhao, Renjie Song, Lei Luo, Jun Li, Jian Yang

AAAI 2023 DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang

ICML 2023 Distortion and Uncertainty Aware Loss for Panoramic Depth Completion Zhiqiang Yan, Xiang Li, Kun Wang, Shuo Chen, Jun Li, Jian Yang

JMLR 2023 Online Change-Point Detection in High-Dimensional Covariance Structure with Application to Dynamic Networks Lingjun Li, Jun Li

AAAI 2023 Recurrent Structure Attention Guidance for Depth Super-Resolution Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang

ICLR 2023 Reversible Column Networks Yuxuan Cai, Yizhuang Zhou, Qi Han, Jianjian Sun, Xiangwen Kong, Jun Li, Xiangyu Zhang

AAAI 2023 ScatterFormer: Locally-Invariant Scattering Transformer for Patient-Independent Multispectral Detection of Epileptiform Discharges Ruizhe Zheng, Jun Li, Yi Wang, Tian Luo, Yuguo Yu

AAAI 2023 Structure Flow-Guided Network for Real Depth Super-Resolution Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang

ICLR 2022 A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model Jianwen Xie, Yaxuan Zhu, Jun Li, Ping Li

CVPRW 2022 CoDo: Contrastive Learning with Downstream Background Invariance for Detection Bing Zhao, Jun Li, Hong Zhu

ICLR 2022 Constructing Orthogonal Convolutions in an Explicit Manner Tan Yu, Jun Li, Yunfeng Cai, Ping Li

CVPR 2022 Industrial Style Transfer with Large-Scale Geometric Warping and Content Preservation Jinchao Yang, Fei Guo, Shuo Chen, Jun Li, Jian Yang

NeurIPS 2022 Learning Contrastive Embedding in Low-Dimensional Space Shuo Chen, Chen Gong, Jun Li, Jian Yang, Gang Niu, Masashi Sugiyama

ICML 2022 Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent Pedro J Soto, Ilia Ilmer, Haibin Guan, Jun Li

AAAI 2022 Linearity-Aware Subspace Clustering Yesong Xu, Shuo Chen, Jun Li, Jianjun Qian

ECCV 2022 Multi-Modal Masked Pre-Training for Monocular Panoramic Depth Completion Zhiqiang Yan, Xiang Li, Kun Wang, Zhenyu Zhang, Jun Li, Jian Yang

CVPR 2022 Nested Collaborative Learning for Long-Tailed Visual Recognition Jun Li, Zichang Tan, Jun Wan, Zhen Lei, Guodong Guo

ECCV 2022 RigNet: Repetitive Image Guided Network for Depth Completion Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang

CVPR 2022 Which Images to Label for Few-Shot Medical Landmark Detection? Quan Quan, Qingsong Yao, Jun Li, S. Kevin Zhou

CVPR 2021 Action Shuffle Alternating Learning for Unsupervised Action Segmentation Jun Li, Sinisa Todorovic

CVPR 2021 Anchor-Constrained Viterbi for Set-Supervised Action Segmentation Jun Li, Sinisa Todorovic

CVPR 2021 Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection Xiang Li, Wenhai Wang, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang

ICML 2021 Large-Margin Contrastive Learning with Distance Polarization Regularizer Shuo Chen, Gang Niu, Chen Gong, Jun Li, Jian Yang, Masashi Sugiyama

ICCV 2021 Regularizing Nighttime Weirdness: Efficient Self-Supervised Monocular Depth Estimation in the Dark Kun Wang, Zhenyu Zhang, Zhiqiang Yan, Xiang Li, Baobei Xu, Jun Li, Jian Yang

ICCV 2021 Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration Haobo Jiang, Yaqi Shen, Jin Xie, Jun Li, Jianjun Qian, Jian Yang

ICLR 2020 Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform Jun Li, Li Fuxin, Sinisa Todorovic

NeurIPS 2020 Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang

AAAI 2020 Learning Part Generation and Assembly for Structure-Aware Shape Synthesis Jun Li, Chengjie Niu, Kai Xu

AAAI 2020 Lifelong Spectral Clustering Gan Sun, Yang Cong, Qianqian Wang, Jun Li, Yun Fu

AAAI 2020 Robust Low-Rank Discovery of Data-Driven Partial Differential Equations Jun Li, Gan Sun, Guoshuai Zhao, Li-Wei H. Lehman

IJCAI 2019 Adversarial Graph Embedding for Ensemble Clustering Zhiqiang Tao, Hongfu Liu, Jun Li, Zhaowen Wang, Yun Fu

NeurIPS 2019 Curvilinear Distance Metric Learning Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang

AAAI 2019 Data-Adaptive Metric Learning with Scale Alignment Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li

IJCAI 2019 Dense Transformer Networks for Brain Electron Microscopy Image Segmentation Jun Li, Yongjun Chen, Lei Cai, Ian Davidson, Shuiwang Ji

ICML 2019 Dual Entangled Polynomial Code: Three-Dimensional Coding for Distributed Matrix Multiplication Pedro Soto, Jun Li, Xiaodi Fan

AAAI 2019 One-Class Adversarial Nets for Fraud Detection Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu

IJCAI 2018 Adversarial Metric Learning Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li

AAAI 2018 Predictive Coding Machine for Compressed Sensing and Image Denoising Jun Li, Hongfu Liu, Yun Fu

IJCAI 2018 Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu

ICCV 2017 A Two-Streamed Network for Estimating Fine-Scaled Depth Maps from Single RGB Images Jun Li, Reinhard Klein, Angela Yao

IJCAI 2017 Large-Scale Subspace Clustering by Fast Regression Coding Jun Li, Handong Zhao, Zhiqiang Tao, Yun Fu

IJCAI 2017 Projective Low-Rank Subspace Clustering via Learning Deep Encoder Jun Li, Hongfu Liu, Handong Zhao, Yun Fu

AAAI 2017 Sparse Subspace Clustering by Learning Approximation ℓ0 Codes Jun Li, Yu Kong, Yun Fu

CVPR 2016 ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering Zhang Zhang, Kaiqi Huang, Tieniu Tan, Peipei Yang, Jun Li

AAAI 2016 Shakeout: A New Regularized Deep Neural Network Training Scheme Guoliang Kang, Jun Li, Dacheng Tao

AAAI 2015 Sparse Deep Stacking Network for Image Classification Jun Li, Heyou Chang, Jian Yang

IJCAI 2013 A Bayesian Factorised Covariance Model for Image Analysis Jun Li, Dacheng Tao

CVPRW 2010 Boosting Dense SIFT Descriptors and Shape Contexts of Face Images for Gender Recognition Jian-Gang Wang, Jun Li, Wei-Yun Yau, Eric Sung

AISTATS 2010 Simple Exponential Family PCA Jun Li, Dacheng Tao

CVPR 2007 Hierarchical Structuring of Data on Manifolds Jun Li, Pengwei Hao

CVPR 2006 Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou