Zhou, Jie

227 publications

TMLR 2025 A Survey on the Honesty of Large Language Models Siheng Li, Cheng Yang, Taiqiang Wu, Chufan Shi, Yuji Zhang, Xinyu Zhu, Zesen Cheng, Deng Cai, Mo Yu, Lemao Liu, Jie Zhou, Yujiu Yang, Ngai Wong, Xixin Wu, Wai Lam
ICCV 2025 A Visual Leap in CLIP Compositionality Reasoning Through Generation of Counterfactual Sets Zexi Jia, Chuanwei Huang, Hongyan Fei, Yeshuang Zhu, Zhiqiang Yuan, Ying Deng, Jiapei Zhang, Jinchao Zhang, Jie Zhou
ICCV 2025 Authentic 4D Driving Simulation with a Video Generation Model Lening Wang, Wenzhao Zheng, Dalong Du, Yunpeng Zhang, Yilong Ren, Han Jiang, Zhiyong Cui, Haiyang Yu, Jie Zhou, Shanghang Zhang
ICLR 2025 Beyond Next Token Prediction: Patch-Level Training for Large Language Models Chenze Shao, Fandong Meng, Jie Zhou
CVPR 2025 CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering Tianyu Huai, Jie Zhou, Xingjiao Wu, Qin Chen, Qingchun Bai, Ze Zhou, Liang He
NeurIPS 2025 Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark Hanlei Zhang, Zhuohang Li, Hua Xu, Yeshuang Zhu, Peiwu Wang, Haige Zhu, Jie Zhou, Jinchao Zhang
ICML 2025 Continuous Visual Autoregressive Generation via Score Maximization Chenze Shao, Fandong Meng, Jie Zhou
ICCV 2025 D3QE: Learning Discrete Distribution Discrepancy-Aware Quantization Error for Autoregressive-Generated Image Detection Yanran Zhang, Bingyao Yu, Yu Zheng, Wenzhao Zheng, Yueqi Duan, Lei Chen, Jie Zhou, Jiwen Lu
ICLR 2025 DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory Yutong Wang, Jiali Zeng, Xuebo Liu, Derek F. Wong, Fandong Meng, Jie Zhou, Min Zhang
ICCV 2025 EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Clients Meihan Wu, Tao Chang, Cui Miao, Jie Zhou, Chun Li, Xiangyu Xu, Ming Li, Xiaodong Wang
NeurIPS 2025 Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space Zhengrui Ma, Yang Feng, Chenze Shao, Fandong Meng, Jie Zhou, Min Zhang
CVPR 2025 EfficientLLaVA: Generalizable Auto-Pruning for Large Vision-Language Models Yinan Liang, Ziwei Wang, Xiuwei Xu, Jie Zhou, Jiwen Lu
ICCV 2025 EmbodiedOcc: Embodied 3D Occupancy Prediction for Vision-Based Online Scene Understanding Yuqi Wu, Wenzhao Zheng, Sicheng Zuo, Yuanhui Huang, Jie Zhou, Jiwen Lu
ICLR 2025 EmbodiedSAM: Online Segment Any 3D Thing in Real Time Xiuwei Xu, Huangxing Chen, Linqing Zhao, Ziwei Wang, Jie Zhou, Jiwen Lu
AAAI 2025 Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection Kedi Chen, Qin Chen, Jie Zhou, Xinqi Tao, Bowen Ding, Jingwen Xie, Mingchen Xie, Peilong Li, Feng Zheng
ICCV 2025 Entropy-Adaptive Diffusion Policy Optimization with Dynamic Step Alignment RenYe Yan, Jikang Cheng, Yaozhong Gan, Shikun Sun, You Wu, Yunfan Yang, Liang Ling, Jinlong Lin, Yeshuang Zhu, Jie Zhou, Jinchao Zhang, Junliang Xing, Yimao Cai, Ru Huang
CVPR 2025 FADE: Frequency-Aware Diffusion Model Factorization for Video Editing Yixuan Zhu, Haolin Wang, Shilin Ma, Wenliang Zhao, Yansong Tang, Lei Chen, Jie Zhou
ICCV 2025 From Imitation to Innovation: The Emergence of AI's Unique Artistic Styles and the Challenge of Copyright Protection Zexi Jia, Chuanwei Huang, Yeshuang Zhu, Hongyan Fei, Ying Deng, Zhiqiang Yuan, Jiapei Zhang, Jinchao Zhang, Jie Zhou
CoRL 2025 GC-VLN: Instruction as Graph Constraints for Training-Free Vision-and-Language Navigation Hang Yin, Haoyu Wei, Xiuwei Xu, Wenxuan Guo, Jie Zhou, Jiwen Lu
CVPR 2025 GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction Sicheng Zuo, Wenzhao Zheng, Yuanhui Huang, Jie Zhou, Jiwen Lu
ICCV 2025 IGL-Nav: Incremental 3D Gaussian Localization for Image-Goal Navigation Wenxuan Guo, Xiuwei Xu, Hang Yin, Ziwei Wang, Jianjiang Feng, Jie Zhou, Jiwen Lu
ICLR 2025 InstaRevive: One-Step Image Enhancement via Dynamic Score Matching Yixuan Zhu, Haolin Wang, Ao Li, Wenliang Zhao, Yansong Tang, Jingxuan Niu, Lei Chen, Jie Zhou, Jiwen Lu
ICCV 2025 Learning Counterfactually Decoupled Attention for Open-World Model Attribution Yu Zheng, Boyang Gong, Fanye Kong, Yueqi Duan, Bingyao Yu, Wenzhao Zheng, Lei Chen, Jiwen Lu, Jie Zhou
AAAI 2025 Learning with Open-World Noisy Data via Class-Independent Margin in Dual Representation Space Linchao Pan, Can Gao, Jie Zhou, Jinbao Wang
WACV 2025 LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-Timestamp 3D Human Pose Estimation Zhiyu Pan, Zhicheng Zhong, Wenxuan Guo, Yifan Chen, Jianjiang Feng, Jie Zhou
IJCAI 2025 MC3D-AD: A Unified Geometry-Aware Reconstruction Model for Multi-Category 3D Anomaly Detection Jiayi Cheng, Can Gao, Jie Zhou, Jiajun Wen, Tao Dai, Jinbao Wang
ICCV 2025 MCID: Multi-Aspect Copyright Infringement Detection for Generated Images Chuanwei Huang, Zexi Jia, Hongyan Fei, Yeshuang Zhu, Zhiqiang Yuan, Ying Deng, Jiapei Zhang, Xiaoyue Duan, Jinchao Zhang, Jie Zhou
IJCAI 2025 MedDiT: A Knowledge-Controlled Diffusion Transformer Framework for Dynamic Medical Image Generation in Virtual Simulated Patient Yanzeng Li, Cheng Zeng, Jinchao Zhang, Jie Zhou, Lei Zou
ICLR 2025 MiniPLM: Knowledge Distillation for Pre-Training Language Models Yuxian Gu, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
NeurIPS 2025 Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory Yuqi Wu, Wenzhao Zheng, Jie Zhou, Jiwen Lu
CVPR 2025 Secret Lies in Color: Enhancing AI-Generated Images Detection with Color Distribution Analysis Zexi Jia, Chuanwei Huang, Yeshuang Zhu, Hongyan Fei, Xiaoyue Duan, Zhiqiang Yuan, Ying Deng, Jiapei Zhang, Jinchao Zhang, Jie Zhou
ICCV 2025 SpectralAR: Spectral Autoregressive Visual Generation Yuanhui Huang, Weiliang Chen, Wenzhao Zheng, Yueqi Duan, Jie Zhou, Jiwen Lu
CVPR 2025 Text-Guided Sparse Voxel Pruning for Efficient 3D Visual Grounding Wenxuan Guo, Xiuwei Xu, Ziwei Wang, Jianjiang Feng, Jie Zhou, Jiwen Lu
CVPR 2025 UniGoal: Towards Universal Zero-Shot Goal-Oriented Navigation Hang Yin, Xiuwei Xu, Linqing Zhao, Ziwei Wang, Jie Zhou, Jiwen Lu
CVPR 2025 UniPre3D: Unified Pre-Training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting Ziyi Wang, Yanran Zhang, Jie Zhou, Jiwen Lu
ICCV 2025 WalkVLM: Aid Visually Impaired People Walking by Vision Language Model Zhiqiang Yuan, Ting Zhang, Yeshuang Zhu, Jiapei Zhang, Ying Deng, Zexi Jia, Peixiang Luo, Xiaoyue Duan, Jie Zhou, Jinchao Zhang
ECCV 2024 3D Small Object Detection with Dynamic Spatial Pruning Zhihao Sun, Ziwei Wang, Hongmin Liu, Jie Zhou, Jiwen Lu, Xiuwei Xu
ICLR 2024 AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chi-Min Chan, Heyang Yu, Yaxi Lu, Yi-Hsin Hung, Chen Qian, Yujia Qin, Xin Cong, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou
CVPR 2024 Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft Hao Li, Xue Yang, Zhaokai Wang, Xizhou Zhu, Jie Zhou, Yu Qiao, Xiaogang Wang, Hongsheng Li, Lewei Lu, Jifeng Dai
ECCV 2024 Camera-LiDAR Cross-Modality Gait Recognition Wenxuan Guo, Yingping Liang, Zhiyu Pan, Ziheng Xi, Jianjiang Feng, Jie Zhou
ECCV 2024 DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation Wenliang Zhao, Haolin Wang, Jie Zhou, Jiwen Lu
CVPR 2024 DPMesh: Exploiting Diffusion Prior for Occluded Human Mesh Recovery Yixuan Zhu, Ao Li, Yansong Tang, Wenliang Zhao, Jie Zhou, Jiwen Lu
TMLR 2024 Decentralized Decoupled Training for Federated Long-Tailed Learning Wenkai Yang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
CVPR 2024 Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications Yuwen Xiong, Zhiqi Li, Yuntao Chen, Feng Wang, Xizhou Zhu, Jiapeng Luo, Wenhai Wang, Tong Lu, Hongsheng Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai
ICML 2024 Exploring the Benefit of Activation Sparsity in Pre-Training Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin, Yankai Lin, Zhiyuan Zeng, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou
NeurIPSW 2024 Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors for Extra-Long-Term Traffic Forecasting Zhiwei Zhang, Shaojun E, Fandong Meng, Jie Zhou, Wenjuan Han
ICML 2024 Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind Mo Yu, Qiujing Wang, Shunchi Zhang, Yisi Sang, Kangsheng Pu, Zekai Wei, Han Wang, Liyan Xu, Jing Li, Yue Yu, Jie Zhou
CVPR 2024 FlowIE: Efficient Image Enhancement via Rectified Flow Yixuan Zhu, Wenliang Zhao, Ao Li, Yansong Tang, Jie Zhou, Jiwen Lu
NeurIPS 2024 FlowTurbo: Towards Real-Time Flow-Based Image Generation with Velocity Refiner Wenliang Zhao, Minglei Shi, Xumin Yu, Jie Zhou, Jiwen Lu
ECCV 2024 GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, Jiwen Lu
AAAI 2024 Generative Multi-Modal Knowledge Retrieval with Large Language Models Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou, Jie Zhou
ICML 2024 Language Generation with Strictly Proper Scoring Rules Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou
ICLR 2024 Large Language Models Are Not Robust Multiple Choice Selectors Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
NeurIPS 2024 Learning 1d Causal Visual Representation with De-Focus Attention Networks Chenxin Tao, Xizhou Zhu, Shiqian Su, Lewei Lu, Changyao Tian, Xuan Luo, Gao Huang, Hongsheng Li, Yu Qiao, Jie Zhou, Jifeng Dai
ECCV 2024 Learning Dual-Level Deformable Implicit Representation for Real-World Scale Arbitrary Super-Resolution Zhiheng Li, Muheng Li, Jixuan Fan, Lei Chen, Yansong Tang, Jiwen Lu, Jie Zhou
AAAI 2024 Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding Wenjia Geng, Yong Liu, Lei Chen, Sujia Wang, Jie Zhou, Yansong Tang
CVPR 2024 LiDAR-Based Person Re-Identification Wenxuan Guo, Zhiyu Pan, Yingping Liang, Ziheng Xi, Zhicheng Zhong, Jianjiang Feng, Jie Zhou
CVPR 2024 LowRankOcc: Tensor Decomposition and Low-Rank Recovery for Vision-Based 3D Semantic Occupancy Prediction Linqing Zhao, Xiuwei Xu, Ziwei Wang, Yunpeng Zhang, Borui Zhang, Wenzhao Zheng, Dalong Du, Jie Zhou, Jiwen Lu
AAAI 2024 MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA Lang Yu, Qin Chen, Jie Zhou, Liang He
CVPR 2024 Memory-Based Adapters for Online 3D Scene Perception Xiuwei Xu, Chong Xia, Ziwei Wang, Linqing Zhao, Yueqi Duan, Jie Zhou, Jiwen Lu
CVPRW 2024 NTIRE 2024 Challenge on Short-Form UGC Video Quality Assessment: Methods and Results Xin Li, Kun Yuan, Yajing Pei, Yiting Lu, Ming Sun, Chao Zhou, Zhibo Chen, Radu Timofte, Wei Sun, Haoning Wu, Zicheng Zhang, Jun Jia, Zhichao Zhang, Linhan Cao, Qiubo Chen, Xiongkuo Min, Weisi Lin, Guangtao Zhai, Jianhui Sun, Tianyi Wang, Lei Li, Han Kong, Wenxuan Wang, Bing Li, Cheng Luo, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Fangyuan Kong, Haotian Fan, Yifang Xu, Haoran Xu, Mengduo Yang, Jie Zhou, Jiaze Li, Shijie Wen, Mai Xu, Da Li, Shunyu Yao, Jiazhi Du, Wangmeng Zuo, Zhibo Li, Shuai He, Anlong Ming, Huiyuan Fu, Huadong Ma, Yong Wu, Fie Xue, Guozhi Zhao, Lina Du, Jie Guo, Yu Zhang, Huimin Zheng, Junhao Chen, Yue Liu, Dulan Zhou, Kele Xu, Qisheng Xu, Tao Sun, Zhixiang Ding, Yuhang Hu
CVPRW 2024 NTIRE 2024 Quality Assessment of AI-Generated Content Challenge Xiaohong Liu, Xiongkuo Min, Guangtao Zhai, Chunyi Li, Tengchuan Kou, Wei Sun, Haoning Wu, Yixuan Gao, Yuqin Cao, Zicheng Zhang, Xiele Wu, Radu Timofte, Fei Peng, Huiyuan Fu, Anlong Ming, Chuanming Wang, Huadong Ma, Shuai He, Zifei Dou, Shu Chen, Huacong Zhang, Haiyi Xie, Chengwei Wang, Baoying Chen, Jishen Zeng, Jianquan Yang, Weigang Wang, Xi Fang, Xiaoxin Lv, Jun Yan, Tianwu Zhi, Yabin Zhang, Yaohui Li, Yang Li, Jingwen Xu, Jianzhao Liu, Yiting Liao, Junlin Li, Zihao Yu, Fengbin Guan, Yiting Lu, Xin Li, Hossein Motamednia, S. Farhad Hosseini-Benvidi, Ahmad Mahmoudi-Aznaveh, Azadeh Mansouri, Ganzorig Gankhuyag, Kihwan Yoon, Yifang Xu, Haotian Fan, Fangyuan Kong, Shiling Zhao, Weifeng Dong, Haibing Yin, Li Zhu, Zhiling Wang, Bingchen Huang, Avinab Saha, Sandeep Mishra, Shashank Gupta, Rajesh Sureddi, Oindrila Saha, Luigi Celona, Simone Bianco, Paolo Napoletano, Raimondo Schettini, Junfeng Yang, Jing Fu, Wei Zhang, Wenzhi Cao, Limei Liu, Han Peng, Weijun Yuan, Zhan Li, Yihang Cheng, Yifan Deng, Haohui Li, Bowen Qu, Yao Li, Shuqing Luo, Shunzhou Wang, Wei Gao, Zihao Lu, Marcos V. Conde, Xinrui Wang, Zhibo Chen, Ruling Liao, Yan Ye, Qiulin Wang, Bing Li, Zhaokun Zhou, Miao Geng, Rui Chen, Xin Tao, Xiaoyu Liang, Shangkun Sun, Xingyuan Ma, Jiaze Li, Mengduo Yang, Haoran Xu, Jie Zhou, Shiding Zhu, Bohan Yu, Pengfei Chen, Xinrui Xu, Jiabin Shen, Zhichao Duan, Erfan Asadi, Jiahe Liu, Qi Yan, Youran Qu, Xiaohui Zeng, Lele Wang, Renjie Liao
NeurIPS 2024 NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation Chaokang Jiang, Dalong Du, Jiuming Liu, Siting Zhu, Zhenqiang Liu, Zhuang Ma, Zhujin Liang, Jie Zhou
ICML 2024 On Prompt-Driven Safeguarding for Large Language Models Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng
ICLRW 2024 On Prompt-Driven Safeguarding for Large Language Models Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng
ICLR 2024 Path Choice Matters for Clear Attributions in Path Methods Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu
ECCV 2024 ProtoComp: Diverse Point Cloud Completion with Controllable Prototype Xumin Yu, Yanbo Wang, Jie Zhou, Jiwen Lu
NeurIPS 2024 Q-VLM: Post-Training Quantization for Large Vision-Language Models Changyuan Wang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu
NeurIPS 2024 SG-Nav: Online 3D Scene Graph Prompting for LLM-Based Zero-Shot Object Navigation Hang Yin, Xiuwei Xu, Zhenyu Wu, Jie Zhou, Jiwen Lu
CVPR 2024 SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction Yuanhui Huang, Wenzhao Zheng, Borui Zhang, Jie Zhou, Jiwen Lu
CVPRW 2024 Short-Form UGC Video Quality Assessment Based on Multi-Level Video Fusion with Rank-Aware Haoran Xu, Mengduo Yang, Jie Zhou, Jiaze Li
ECCV 2024 SpatialFormer: Towards Generalizable Vision Transformers with Explicit Spatial Understanding Han Xiao, Wenzhao Zheng, Sicheng Zuo, Peng Gao, Jie Zhou, Jiwen Lu
AAAI 2024 Teaching Large Language Models to Translate with Comparison Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou
ICLR 2024 ToolLLM: Facilitating Large Language Models to Master 16000+ Real-World APIs Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun
CVPR 2024 Towards Accurate Post-Training Quantization for Diffusion Models Changyuan Wang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu
ICLR 2024 Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun
AAAI 2024 Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models Kun Zhang, Jiali Zeng, Fandong Meng, Yuanzhuo Wang, Shiqi Sun, Long Bai, Huawei Shen, Jie Zhou
NeurIPS 2024 Vision Model Pre-Training on Interleaved Image-Text Data via Latent Compression Learning Chenyu Yang, Xizhou Zhu, Jinguo Zhu, Weijie Su, Junjie Wang, Xuan Dong, Wenhai Wang, Lewei Lu, Bin Li, Jie Zhou, Yu Qiao, Jifeng Dai
NeurIPS 2024 Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents Wenkai Yang, Xiaohan Bi, Yankai Lin, Sishuo Chen, Jie Zhou, Xu Sun
NeurIPS 2024 XMask3D: Cross-Modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation Ziyi Wang, Yanbo Wang, Xumin Yu, Jie Zhou, Jiwen Lu
AAAI 2023 A Simple Baseline for Multi-Camera 3D Object Detection Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Jiwen Lu, Jie Zhou
CVPR 2023 BEVFormer V2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai
CVPR 2023 Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis Xiuwei Xu, Ziwei Wang, Jie Zhou, Jiwen Lu
ICLR 2023 Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu
ICCV 2023 CLIP-Cluster: CLIP-Guided Attribute Hallucination for Face Clustering Shuai Shen, Wanhua Li, Xiaobing Wang, Dafeng Zhang, Zhezhu Jin, Jie Zhou, Jiwen Lu
CVPR 2023 Deep Factorized Metric Learning Chengkun Wang, Wenzhao Zheng, Junlong Li, Jie Zhou, Jiwen Lu
CVPR 2023 DiffSwap: High-Fidelity and Controllable Face Swapping via 3D-Aware Masked Diffusion Wenliang Zhao, Yongming Rao, Weikang Shi, Zuyan Liu, Jie Zhou, Jiwen Lu
CVPR 2023 DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation Shuai Shen, Wenliang Zhao, Zibin Meng, Wanhua Li, Zheng Zhu, Jie Zhou, Jiwen Lu
CVPR 2023 Diffusion-SDF: Text-to-Shape via Voxelized Diffusion Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu
CVPR 2023 FLAG3D: A 3D Fitness Activity Dataset with Language Instruction Yansong Tang, Jinpeng Liu, Aoyang Liu, Bin Yang, Wenxun Dai, Yongming Rao, Jiwen Lu, Jie Zhou, Xiu Li
AAAI 2023 Feature Decomposition for Reducing Negative Transfer: A Novel Multi-Task Learning Method for Recommender System (Student Abstract) Jie Zhou, Qian Yu, Chuan Luo, Jing Zhang
NeurIPS 2023 Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun
ICLR 2023 GAIN: On the Generalization of Instructional Action Understanding Junlong Li, Guangyi Chen, Yansong Tang, Jinan Bao, Kun Zhang, Jie Zhou, Jiwen Lu
IJCAI 2023 Humming2Music: Being a Composer as Long as You Can Humming Yao Qiu, Jinchao Zhang, Huiying Ren, Yong Shan, Jie Zhou
CVPR 2023 LOGO: A Long-Form Video Dataset for Group Action Quality Assessment Shiyi Zhang, Wenxun Dai, Sujia Wang, Xiangwei Shen, Jiwen Lu, Jie Zhou, Yansong Tang
IJCAI 2023 LingGe: An Automatic Ancient Chinese Poem-to-Song Generation System Yong Shan, Jinchao Zhang, Huiying Ren, Yao Qiu, Jie Zhou
NeurIPS 2023 MCUFormer: Deploying Vision Tranformers on Microcontrollers with Limited Memory Yinan Liang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu
ICCV 2023 OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu
AAAI 2023 Rephrasing the Reference for Non-Autoregressive Machine Translation Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng
CVPR 2023 Siamese Image Modeling for Self-Supervised Vision Representation Learning Chenxin Tao, Xizhou Zhu, Weijie Su, Gao Huang, Bin Li, Jie Zhou, Yu Qiao, Xiaogang Wang, Jifeng Dai
ICCV 2023 Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space Learning Zhiheng Li, Wenjia Geng, Muheng Li, Lei Chen, Yansong Tang, Jiwen Lu, Jie Zhou
ICCV 2023 SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu
ICCV 2023 TCOVIS: Temporally Consistent Online Video Instance Segmentation Junlong Li, Bingyao Yu, Yongming Rao, Jie Zhou, Jiwen Lu
ICCV 2023 Take-a-Photo: 3D-to-2D Generative Pre-Training of Point Cloud Models Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu
ICCV 2023 Token-Label Alignment for Vision Transformers Han Xiao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu
CVPR 2023 Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie Zhou, Jifeng Dai
ICLR 2023 Transformer-Patcher: One Mistake Worth One Neuron Zeyu Huang, Yikang Shen, Xiaofeng Zhang, Jie Zhou, Wenge Rong, Zhang Xiong
CVPR 2023 Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, Jiwen Lu
NeurIPS 2023 UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, Jiwen Lu
ICCV 2023 Unleashing Text-to-Image Diffusion Models for Visual Perception Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu
NeurIPS 2023 VisionLLM: Large Language Model Is Also an Open-Ended Decoder for Vision-Centric Tasks Wenhai Wang, Zhe Chen, Xiaokang Chen, Jiannan Wu, Xizhou Zhu, Gang Zeng, Ping Luo, Tong Lu, Jie Zhou, Yu Qiao, Jifeng Dai
TMLR 2023 When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun
NeurIPS 2022 A Win-Win Deal: Towards Sparse and Robust Pre-Trained Language Models Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
ECCV 2022 AMixer: Adaptive Weight Mixing for Self-Attention Free Vision Transformers Yongming Rao, Wenliang Zhao, Jie Zhou, Jiwen Lu
CVPR 2022 Attributable Visual Similarity Learning Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu
CVPR 2022 Back to Reality: Weakly-Supervised 3D Object Detection with Shape-Guided Label Enhancement Xiuwei Xu, Yifan Wang, Yu Zheng, Yongming Rao, Jie Zhou, Jiwen Lu
CVPR 2022 Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos Muheng Li, Lei Chen, Yueqi Duan, Zhilan Hu, Jianjiang Feng, Jie Zhou, Jiwen Lu
IJCAI 2022 CUP: Curriculum Learning Based Prompt Tuning for Implicit Event Argument Extraction Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He
AAAI 2022 Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-Based Super-Resolution Bin Xia, Yapeng Tian, Yucheng Hang, Wenming Yang, Qingmin Liao, Jie Zhou
CVPR 2022 DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu
CVPR 2022 Dimension Embeddings for Monocular 3D Object Detection Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Dalong Du, Jie Zhou, Jiwen Lu
ECCV 2022 Dynamic Metric Learning with Cross-Level Concept Distillation Wenzhao Zheng, Yuanhui Huang, Borui Zhang, Jie Zhou, Jiwen Lu
AAAI 2022 Efficient Non-Local Contrastive Attention for Image Super-Resolution Bin Xia, Yucheng Hang, Yapeng Tian, Wenming Yang, Qingmin Liao, Jie Zhou
CVPR 2022 FineDiving: A Fine-Grained Dataset for Procedure-Aware Action Quality Assessment Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu
IJCAI 2022 High-Resolution and Arbitrary-Sized Chinese Landscape Painting Creation Based on Generative Adversarial Networks Peixiang Luo, Jinchao Zhang, Jie Zhou
NeurIPS 2022 HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions Yongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou, Ser Nam Lim, Jiwen Lu
CVPR 2022 HyperDet3D: Learning a Scene-Conditioned 3D Object Detector Yu Zheng, Yueqi Duan, Jiwen Lu, Jie Zhou, Qi Tian
ECCV 2022 Label2Label: A Language Modeling Framework for Multi-Attribute Learning Wanhua Li, Zhexuan Cao, Jianjiang Feng, Jie Zhou, Jiwen Lu
ECCV 2022 Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis Shuai Shen, Wanhua Li, Zheng Zhu, Yueqi Duan, Jie Zhou, Jiwen Lu
ECCV 2022 Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution Cheng Ma, Jingyi Zhang, Jie Zhou, Jiwen Lu
ECCV 2022 LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou, Jiwen Lu
IJCAI 2022 Neutral Utterances Are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge Jiangnan Li, Fandong Meng, Zheng Lin, Rui Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
NeurIPS 2022 OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression Wanhua Li, Xiaoke Huang, Zheng Zhu, Yansong Tang, Xiu Li, Jie Zhou, Jiwen Lu
NeurIPS 2022 P2P: Tuning Pre-Trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu
CVPR 2022 Point-BERT: Pre-Training 3D Point Cloud Transformers with Masked Point Modeling Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, Jiwen Lu
IJCAI 2022 Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification Deli Chen, Yankai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun
CVPR 2022 SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu
ECCV 2022 Shap-CAM: Visual Explanations for Convolutional Neural Networks Based on Shapley Value Quan Zheng, Ziwei Wang, Jie Zhou, Jiwen Lu
CVPR 2022 Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search Han Xiao, Ziwei Wang, Zheng Zhu, Jie Zhou, Jiwen Lu
CVPR 2022 Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu
CoRL 2022 SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao, Guan Huang, Jiwen Lu, Jie Zhou
IJCAI 2022 Uncertainty-Aware Representation Learning for Action Segmentation Lei Chen, Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu
AAAI 2021 Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework Huimin Chen, Yankai Lin, Fanchao Qi, Jinyi Hu, Peng Li, Jie Zhou, Maosong Sun
AAAI 2021 Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds Jingyu Gong, Jiachen Xu, Xin Tan, Jie Zhou, Yanyun Qu, Yuan Xie, Lizhuang Ma
ICCV 2021 Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-Identification Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou
CVPR 2021 Deep Compositional Metric Learning Wenzhao Zheng, Chengkun Wang, Jiwen Lu, Jie Zhou
ICCV 2021 Deep Relational Metric Learning Wenzhao Zheng, Borui Zhang, Jiwen Lu, Jie Zhou
NeurIPS 2021 DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
AAAI 2021 Faster Depth-Adaptive Transformers Yijin Liu, Fandong Meng, Jie Zhou, Yufeng Chen, Jinan Xu
ICCV 2021 Frequency-Aware Spatiotemporal Transformers for Video Inpainting Detection Bingyao Yu, Wanhua Li, Xiu Li, Jiwen Lu, Jie Zhou
ICCV 2021 Gait Recognition in the Wild: A Benchmark Zheng Zhu, Xianda Guo, Tian Yang, Junjie Huang, Jiankang Deng, Guan Huang, Dalong Du, Jiwen Lu, Jie Zhou
ICCV 2021 Generalizable Mixed-Precision Quantization via Attribution Rank Preservation Ziwei Wang, Han Xiao, Jiwen Lu, Jie Zhou
NeurIPS 2021 Global Filter Networks for Image Classification Yongming Rao, Wenliang Zhao, Zheng Zhu, Jiwen Lu, Jie Zhou
ICCV 2021 Group-Aware Contrastive Regression for Action Quality Assessment Xumin Yu, Yongming Rao, Wenliang Zhao, Jiwen Lu, Jie Zhou
AAAI 2021 Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information Qiu Ran, Yankai Lin, Peng Li, Jie Zhou
ICCV 2021 Human Trajectory Prediction via Counterfactual Analysis Guangyi Chen, Junlong Li, Jiwen Lu, Jie Zhou
AAAI 2021 Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation Yunlong Liang, Fandong Meng, Ying Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
ICCV 2021 Instance Similarity Learning for Unsupervised Feature Representation Ziwei Wang, Yunsong Wang, Ziyi Wu, Jiwen Lu, Jie Zhou
CVPR 2021 Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression Wanhua Li, Xiaoke Huang, Jiwen Lu, Jianjiang Feng, Jie Zhou
CVPR 2021 Meta-Mining Discriminative Samples for Kinship Verification Wanhua Li, Shiwei Wang, Jiwen Lu, Jianjiang Feng, Jie Zhou
AAAI 2021 Multi-Proxy Wasserstein Classifier for Image Classification Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
ICCV 2021 NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, Jie Zhou
CVPR 2021 Objects Are Different: Flexible Monocular 3D Object Detection Yunpeng Zhang, Jiwen Lu, Jie Zhou
CVPR 2021 PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds Yi Wei, Ziyi Wang, Yongming Rao, Jiwen Lu, Jie Zhou
ICCV 2021 PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers Xumin Yu, Yongming Rao, Ziyi Wang, Zuyan Liu, Jiwen Lu, Jie Zhou
CVPR 2021 Pseudo Facial Generation with Extreme Poses for Face Recognition Guoli Wang, Jiaqi Ma, Qian Zhang, Jiwen Lu, Jie Zhou
ICCV 2021 RandomRooms: Unsupervised Pre-Training from Synthetic Shapes and Randomized Layouts for 3D Object Detection Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie Zhou
AAAI 2021 SIMPLE: SIngle-Network with Mimicking and Point Learning for Bottom-up Human Pose Estimation Jiabin Zhang, Zheng Zhu, Jiwen Lu, Junjie Huang, Guan Huang, Jie Zhou
CVPR 2021 Self-Supervised Video Hashing via Bidirectional Transformers Shuyan Li, Xiu Li, Jiwen Lu, Jie Zhou
CVPR 2021 Structure-Aware Face Clustering on a Large-Scale Graph with 107 Nodes Shuai Shen, Wanhua Li, Zheng Zhu, Guan Huang, Dalong Du, Jiwen Lu, Jie Zhou
NeurIPS 2021 Topology-Imbalance Learning for Semi-Supervised Node Classification Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun
ICCV 2021 Towards Interpretable Deep Metric Learning with Structural Matching Wenliang Zhao, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou
CVPR 2021 WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jiwen Lu, Dalong Du, Jie Zhou
AAAI 2020 DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou
ECCV 2020 Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-Identification Guangyi Chen, Yuhao Lu, Jiwen Lu, Jie Zhou
ECCV 2020 Deep Hashing with Active Pairwise Supervision Ziwei Wang, Quan Zheng, Jiwen Lu, Jie Zhou
AAAI 2020 Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions Yongjing Yin, Fandong Meng, Jinsong Su, Yubin Ge, Linfeng Song, Jie Zhou, Jiebo Luo
ECCV 2020 Graph-Based Social Relation Reasoning Wanhua Li, Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou
AAAI 2020 Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun
ECCV 2020 MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
AAAI 2020 Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou
AAAI 2020 Multi-Zone Unit for Recurrent Neural Networks Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou
ECCV 2020 Reinforced Axial Refinement Network for Monocular 3D Object Detection Lijie Liu, Chufan Wu, Jiwen Lu, Lingxi Xie, Jie Zhou, Qi Tian
ECCV 2020 Rotation-Robust Intersection over Union for 3D Object Detection Yu Zheng, Danyang Zhang, Sinan Xie, Jiwen Lu, Jie Zhou
IJCAI 2020 SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with a Learnable Scene Descriptor Jiachen Xu, Jingyu Gong, Jie Zhou, Xin Tan, Yuan Xie, Lizhuang Ma
ECCV 2020 Spatial Geometric Reasoning for Room Layout Estimation via Deep Reinforcement Learning Liangliang Ren, Yangyang Song, Jiwen Lu, Jie Zhou
ECCV 2020 Structural Deep Metric Learning for Room Layout Estimation Wenzhao Zheng, Jiwen Lu, Jie Zhou
ECCV 2020 Temporal Coherence or Temporal Motion: Which Is More Critical for Video-Based Person Re-Identification? Guangyi Chen, Yongming Rao, Jiwen Lu, Jie Zhou
IJCAI 2019 A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui
NeurIPSW 2019 Information Extraction from Text Regions with Complex Tabular Structure Kaixuan Zhang, Zejiang Shen, Jie Zhou, Melissa Dell
ECCV 2018 Collaborative Deep Reinforcement Learning for Multi-Object Tracking Liangliang Ren, Jiwen Lu, Zifeng Wang, Qi Tian, Jie Zhou
ECCV 2018 Deep Reinforcement Learning with Iterative Shift for Visual Tracking Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, Jie Zhou
ECCV 2018 Deep Variational Metric Learning Xudong Lin, Yueqi Duan, Qiyuan Dong, Jiwen Lu, Jie Zhou
ECCV 2018 Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking Minghao Guo, Jiwen Lu, Jie Zhou
ECCV 2018 Graininess-Aware Deep Feature Learning for Pedestrian Detection Chunze Lin, Jiwen Lu, Gang Wang, Jie Zhou
ECCV 2018 Part-Activated Deep Reinforcement Learning for Action Prediction Lei Chen, Jiwen Lu, Zhanjie Song, Jie Zhou
ECCV 2018 Relaxation-Free Deep Hashing via Policy Gradient Xin Yuan, Liangliang Ren, Jiwen Lu, Jie Zhou
AAAI 2018 SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification Qinmin Hu, Jie Zhou, Qin Chen, Liang He
ICCV 2017 Attention-Aware Deep Reinforcement Learning for Video Face Recognition Yongming Rao, Jiwen Lu, Jie Zhou
CVPR 2017 Consistent-Aware Deep Learning for Person Re-Identification in a Camera Network Ji Lin, Liangliang Ren, Jiwen Lu, Jianjiang Feng, Jie Zhou
ICCV 2017 Cross-Modal Deep Variational Hashing Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, Jie Zhou
CVPR 2017 Learning Deep Binary Descriptor with Multi-Quantization Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, Jie Zhou
ICCV 2017 Learning Discriminative Aggregation Network for Video-Based Face Recognition Yongming Rao, Ji Lin, Jiwen Lu, Jie Zhou
IJCAI 2017 ME-MD: An Effective Framework for Neural Machine Translation with Multiple Encoders and Decoders Jinchao Zhang, Qun Liu, Jie Zhou
NeurIPS 2017 Runtime Neural Pruning Ji Lin, Yongming Rao, Jiwen Lu, Jie Zhou
CVPR 2016 Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks Kevin Lin, Jiwen Lu, Chu-Song Chen, Jie Zhou
NeurIPS 2015 Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Haoyuan Gao, Junhua Mao, Jie Zhou, Zhiheng Huang, Lei Wang, Wei Xu
CVPR 2015 Deep Hashing for Compact Binary Codes Learning Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, Jie Zhou
ICCV 2015 Local Subspace Collaborative Tracking Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu, Jie Zhou
CVPR 2015 Multi-Manifold Deep Metric Learning for Image Set Classification Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin, Jie Zhou
ICCV 2015 Multiple Feature Fusion via Weighted Entropy for Visual Tracking Lin Ma, Jiwen Lu, Jianjiang Feng, Jie Zhou
ICCV 2015 Simultaneous Local Binary Feature Learning and Encoding for Face Recognition Jiwen Lu, Venice Erin Liong, Jie Zhou
ICML 2014 A Convergence Rate Analysis for LogitBoost, MART and Their Variant Peng Sun, Tong Zhang, Jie Zhou
MLJ 2014 An Improved Multiclass LogitBoost Using Adaptive-One-vs-One Peng Sun, Mark D. Reid, Jie Zhou
CVPR 2014 Smooth Representation Clustering Han Hu, Zhouchen Lin, Jianjiang Feng, Jie Zhou
ICCV 2013 Cosegmentation and Cosketch by Unsupervised Learning Jifeng Dai, Ying Nian Wu, Jie Zhou, Song-Chun Zhu
ICML 2013 Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner Peng Sun, Jie Zhou
ICML 2012 AOSO-LogitBoost: Adaptive One-vs-One LogitBoost for Multi-Class Problem Peng Sun, Mark D. Reid, Jie Zhou
CVPR 2010 Trajectory Matching from Unsynchronized Videos Han Hu, Jie Zhou
IJCAI 2009 Local Learning Regularized Nonnegative Matrix Factorization Quanquan Gu, Jie Zhou
ECML-PKDD 2009 Transductive Classification via Dual Regularization Quanquan Gu, Jie Zhou
CVPR 2004 Inference of Multiple Subspaces from High-Dimensional Data and Application to Multibody Grouping Zhimin Fan, Jie Zhou, Ying Wu
CVPR 2004 Multibody Motion Segmentation Based on Simulated Annealing Zhimin Fan, Jie Zhou, Ying Wu
CVPR 2003 A Novel Model for Orientation Field of Fingerprints Jinwei Gu, Jie Zhou
CVPR 2003 Robust Crease Detection in Fingerprint Images Chenyu Wu, Jie Zhou, Zhaoqi Bian, Gang Rong
CVPR 2001 Automated Cartridge Identification for Firearm Authentication Jie Zhou, Le-ping Xin, Dashan Gao, Changshui Zhang, David Zhang
CVPR 2000 A Novel Algorithm for Rotated Human Face Detection Xiao-guang Lv, Jie Zhou, Changshui Zhang