| 2026 | ACL | More Than Sum of Its Parts: Deciphering Intent Shifts in Multimodal Hate Speech Detection. | Runze Sun, Yu Zheng, Zexuan Xiong, Zhongjin Qu, Lei Chen, Jie Zhou, Jiwen Lu |
| 2025 | CVPR | UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting. | Ziyi Wang, Yanran Zhang, Jie Zhou, Jiwen Lu |
| 2025 | CVPR | Text-guided Sparse Voxel Pruning for Efficient 3D Visual Grounding. | Wenxuan Guo, Xiuwei Xu, Ziwei Wang, Jianjiang Feng, Jie Zhou, Jiwen Lu |
| 2025 | CVPR | GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction. | Yuanhui Huang, Amonnut Thammatadatrakoon, Wenzhao Zheng, Yunpeng Zhang, Dalong Du, Jiwen Lu |
| 2025 | CVPR | EfficientLLaVA: Generalizable Auto-Pruning for Large Vision-language Models. | Yinan Liang, Ziwei Wang, Xiuwei Xu, Jie Zhou, Jiwen Lu |
| 2025 | CVPR | UniGoal: Towards Universal Zero-shot Goal-oriented Navigation. | Hang Yin, Xiuwei Xu, Linqing Zhao, Ziwei Wang, Jie Zhou, Jiwen Lu |
| 2025 | CVPR | GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction. | Sicheng Zuo, Wenzhao Zheng, Yuanhui Huang, Jie Zhou, Jiwen Lu |
| 2025 | ICCV | IGL-Nav: Incremental 3D Gaussian Localization for Image-Goal Navigation. | Wenxuan Guo, Xiuwei Xu, Hang Yin, Ziwei Wang, Jianjiang Feng, Jie Zhou, Jiwen Lu |
| 2025 | ICCV | SpectralAR: Spectral Autoregressive Visual Generation. | Yuanhui Huang, Weiliang Chen, Wenzhao Zheng, Yueqi Duan, Jie Zhou, Jiwen Lu |
| 2025 | ICCV | SparseMM: Head Sparsity Emerges from Visual Concept Responses in MLLMs. | Jiahui Wang, Zuyan Liu, Yongming Rao, Jiwen Lu |
| 2025 | ICCV | EmbodiedOcc: Embodied 3D Occupancy Prediction for Vision-Based Online Scene Understanding. | Yuqi Wu, Wenzhao Zheng, Sicheng Zuo, Yuanhui Huang, Jie Zhou, Jiwen Lu |
| 2025 | ICCV | D | Yanran Zhang, Bingyao Yu, Yu Zheng, Wenzhao Zheng, Yueqi Duan, Lei Chen, Jie Zhou, Jiwen Lu |
| 2025 | ICCV | PlaneRAS: Learning Planar Primitives for 3D Plane Recovery. | Fang Zhang, Wenzhao Zheng, Linqing Zhao, Zelan Zhu, Jiwen Lu, Xiuzhuang Zhou |
| 2025 | ICCV | 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 |
| 2025 | ICLR | Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution. | Zuyan Liu, Yuhao Dong, Ziwei Liu, Winston Hu, Jiwen Lu, Yongming Rao |
| 2025 | ICLR | ThinkBot: Embodied Instruction Following with Thought Chain Reasoning. | Guanxing Lu, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang |
| 2025 | ICLR | EmbodiedSAM: Online Segment Any 3D Thing in Real Time. | Xiuwei Xu, Huangxing Chen, Linqing Zhao, Ziwei Wang, Jie Zhou, Jiwen Lu |
| 2025 | ICLR | 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 |
| 2025 | IROS | iGaussian: Real-Time Camera Pose Estimation via Feed-Forward 3D Gaussian Splatting Inversion. | Hao Wang, Linqing Zhao, Xiuwei Xu, Jiwen Lu, Haibin Yan |
| 2025 | IROS | Embodied Instruction Following in Unknown Environments. | Zhenyu Wu, ZiWei Wang, Xiuwei Xu, Hang Yin, Yinan Liang, Angyuan Ma, Jiwen Lu, Haibin Yan |
| 2025 | IROS | Anyview: General Indoor 3D Object Detection with Variable Frames. | Zhenyu Wu, Xiuwei Xu, Ziwei Wang, Chong Xia, Linqing Zhao, Jiwen Lu, Haibin Yan |
| 2025 | IROS | ManiGaussian++: General Robotic Bimanual Manipulation with Hierarchical Gaussian World Model. | Tengbo Yu, Guanxing Lu, Zaijia Yang, Haoyuan Deng, Season Si Chen, Jiwen Lu, Wenbo Ding, Guoqiang Hu, Yansong Tang, Ziwei Wang |
| 2025 | IROS | Pseudo Depth Meets Gaussian: A Feed-forward RGB SLAM Baseline. | Linqing Zhao, Xiuwei Xu, Yirui Wang, Hao Wang, Wenzhao Zheng, Yansong Tang, Haibin Yan, Jiwen Lu |
| 2024 | CVPR | MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer. | Jianjian Cao, Peng Ye, Shengze Li, Chong Yu, Yansong Tang, Jiwen Lu, Tao Chen |
| 2024 | CVPR | Segment and Caption Anything. | Xiaoke Huang, Jianfeng Wang, Yansong Tang, Zheng Zhang, Han Hu, Jiwen Lu, Lijuan Wang, Zicheng Liu |
| 2024 | CVPR | SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction. | Yuanhui Huang, Wenzhao Zheng, Borui Zhang, Jie Zhou, Jiwen Lu |
| 2024 | CVPR | MirageRoom: 3D Scene Segmentation with 2D Pre-Trained Models by Mirage Projection. | Haowen Sun, Yueqi Duan, Juncheng Yan, Yifan Liu, Jiwen Lu |
| 2024 | CVPR | X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition. | Shuofeng Sun, Yongming Rao, Jiwen Lu, Haibin Yan |
| 2024 | CVPR | Towards Accurate Post-Training Quantization for Diffusion Models. | Changyuan Wang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu |
| 2024 | CVPR | Memory-based Adapters for Online 3D Scene Perception. | Xiuwei Xu, Chong Xia, Ziwei Wang, Linqing Zhao, Yueqi Duan, Jie Zhou, Jiwen Lu |
| 2024 | CVPR | Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression. | Hancheng Ye, Chong Yu, Peng Ye, Renqiu Xia, Yansong Tang, Jiwen Lu, Tao Chen, Bo Zhang |
| 2024 | CVPR | Narrative Action Evaluation with Prompt-Guided Multimodal Interaction. | Shiyi Zhang, Sule Bai, Guangyi Chen, Lei Chen, Jiwen Lu, Junle Wang, Yansong Tang |
| 2024 | CVPR | 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 |
| 2024 | CVPR | DPMesh: Exploiting Diffusion Prior for Occluded Human Mesh Recovery. | Yixuan Zhu, Ao Li, Yansong Tang, Wenliang Zhao, Jie Zhou, Jiwen Lu |
| 2024 | CVPR | FlowIE: Efficient Image Enhancement via Rectified Flow. | Yixuan Zhu, Wenliang Zhao, Ao Li, Yansong Tang, Jie Zhou, Jiwen Lu |
| 2024 | ECCV | GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction. | Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, Jiwen Lu |
| 2024 | ECCV | 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 |
| 2024 | ECCV | Efficient Inference of Vision Instruction-Following Models with Elastic Cache. | Zuyan Liu, Benlin Liu, Jiahui Wang, Yuhao Dong, Guangyi Chen, Yongming Rao, Ranjay Krishna, Jiwen Lu |
| 2024 | ECCV | ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation. | Guanxing Lu, Shiyi Zhang, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang |
| 2024 | ECCV | DriveDreamer: Towards Real-World-Drive World Models for Autonomous Driving. | Xiaofeng Wang, Zheng Zhu, Guan Huang, Xinze Chen, Jiagang Zhu, Jiwen Lu |
| 2024 | ECCV | SpatialFormer: Towards Generalizable Vision Transformers with Explicit Spatial Understanding. | Han Xiao, Wenzhao Zheng, Sicheng Zuo, Peng Gao, Jie Zhou, Jiwen Lu |
| 2024 | ECCV | DSPDet3D: 3D Small Object Detection with Dynamic Spatial Pruning. | Xiuwei Xu, Zhihao Sun, Ziwei Wang, Hongmin Liu, Jie Zhou, Jiwen Lu |
| 2024 | ECCV | ProtoComp: Diverse Point Cloud Completion with Controllable Prototype. | Xumin Yu, Yanbo Wang, Jie Zhou, Jiwen Lu |
| 2024 | ECCV | DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation. | Wenliang Zhao, Haolin Wang, Jie Zhou, Jiwen Lu |
| 2024 | ECCV | OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving. | Wenzhao Zheng, Weiliang Chen, Yuanhui Huang, Borui Zhang, Yueqi Duan, Jiwen Lu |
| 2024 | ICLR | Path Choice Matters for Clear Attributions in Path Methods. | Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu |
| 2023 | AAAI | A Simple Baseline for Multi-Camera 3D Object Detection. | Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Jiwen Lu, Jie Zhou |
| 2023 | CVPR | Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction. | Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, Jiwen Lu |
| 2023 | CVPR | Diffusion-SDF: Text-to-Shape via Voxelized Diffusion. | Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu |
| 2023 | CVPR | Action Probability Calibration for Efficient Naturalistic Driving Action Localization. | Rongchang Li, Cong Wu, Linze Li, Zhongwei Shen, Tianyang Xu, Xiaojun Wu, Xi Li, Jiwen Lu, Josef Kittler |
| 2023 | CVPR | DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation. | Shuai Shen, Wenliang Zhao, Zibin Meng, Wanhua Li, Zheng Zhu, Jie Zhou, Jiwen Lu |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Deep Factorized Metric Learning. | Chengkun Wang, Wenzhao Zheng, Junlong Li, Jie Zhou, Jiwen Lu |
| 2023 | CVPR | Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis. | Xiuwei Xu, Ziwei Wang, Jie Zhou, Jiwen Lu |
| 2023 | CVPR | 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 |
| 2023 | CVPR | DiffSwap: High-Fidelity and Controllable Face Swapping via 3D-Aware Masked Diffusion. | Wenliang Zhao, Yongming Rao, Weikang Shi, Zuyan Liu, Jie Zhou, Jiwen Lu |
| 2023 | ICCV | Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models. | Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu |
| 2023 | ICCV | 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 |
| 2023 | ICCV | TCOVIS: Temporally Consistent Online Video Instance Segmentation. | Junlong Li, Bingyao Yu, Yongming Rao, Jie Zhou, Jiwen Lu |
| 2023 | ICCV | CLIP-Cluster: CLIP-Guided Attribute Hallucination for Face Clustering. | Shuai Shen, Wanhua Li, Xiaobing Wang, Dafeng Zhang, Zhezhu Jin, Jie Zhou, Jiwen Lu |
| 2023 | ICCV | OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception. | Xiaofeng Wang, Zheng Zhu, Wenbo Xu, Yunpeng Zhang, Yi Wei, Xu Chi, Yun Ye, Dalong Du, Jiwen Lu, Xingang Wang |
| 2023 | ICCV | OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions. | Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu |
| 2023 | ICCV | SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving. | Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu |
| 2023 | ICCV | Token-Label Alignment for Vision Transformers. | Han Xiao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu |
| 2023 | ICCV | Unleashing Text-to-Image Diffusion Models for Visual Perception. | Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu |
| 2023 | ICIP | Context-Aware Inpainter-Refiner for Skeleton-Based Human Motion Completion. | Rong He, Yansong Tang, Xiu Li, Jiwen Lu |
| 2023 | ICLR | GAIN: On the Generalization of Instructional Action Understanding. | Junlong Li, Guangyi Chen, Yansong Tang, Jinan Bao, Kun Zhang, Jie Zhou, Jiwen Lu |
| 2023 | ICLR | Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint. | Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu |
| 2023 | ICRA | Category-level Shape Estimation for Densely Cluttered Objects. | Zhenyu Wu, Zi-wei Wang, Jiwen Lu, Haibin Yan |
| 2022 | CoRL | 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 |
| 2022 | CVPR | Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion. | Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu |
| 2022 | CVPR | Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos. | Muheng Li, Lei Chen, Yueqi Duan, Zhilan Hu, Jianjiang Feng, Jie Zhou, Jiwen Lu |
| 2022 | CVPR | 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 |
| 2022 | CVPR | SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation. | Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu |
| 2022 | CVPR | Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search. | Han Xiao, Ziwei Wang, Zheng Zhu, Jie Zhou, Jiwen Lu |
| 2022 | CVPR | FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment. | Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu |
| 2022 | CVPR | 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 |
| 2022 | CVPR | Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling. | Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, Jiwen Lu |
| 2022 | CVPR | Attributable Visual Similarity Learning. | Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu |
| 2022 | CVPR | Dimension Embeddings for Monocular 3D Object Detection. | Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Dalong Du, Jie Zhou, Jiwen Lu |
| 2022 | CVPR | HyperDet3D: Learning a Scene-conditioned 3D Object Detector. | Yu Zheng, Yueqi Duan, Jiwen Lu, Jie Zhou, Qi Tian |
| 2022 | ECCV | Label2Label: A Language Modeling Framework for Multi-attribute Learning. | Wanhua Li, Zhexuan Cao, Jianjiang Feng, Jie Zhou, Jiwen Lu |
| 2022 | ECCV | Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution. | Cheng Ma, Jingyi Zhang, Jie Zhou, Jiwen Lu |
| 2022 | ECCV | AMixer: Adaptive Weight Mixing for Self-attention Free Vision Transformers. | Yongming Rao, Wenliang Zhao, Jie Zhou, Jiwen Lu |
| 2022 | ECCV | Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis. | Shuai Shen, Wanhua Li, Zheng Zhu, Yueqi Duan, Jie Zhou, Jiwen Lu |
| 2022 | ECCV | LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection. | Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou, Jiwen Lu |
| 2022 | ECCV | Spike Transformer: Monocular Depth Estimation for Spiking Camera. | Jiyuan Zhang, Lulu Tang, Zhaofei Yu, Jiwen Lu, Tie-Jun Huang |
| 2022 | ECCV | Dynamic Metric Learning with Cross-Level Concept Distillation. | Wenzhao Zheng, Yuan Huang, Borui Zhang, Jie Zhou, Jiwen Lu |
| 2022 | ECCV | Shap-CAM: Visual Explanations for Convolutional Neural Networks Based on Shapley Value. | Quan Zheng, ZiWei Wang, Jie Zhou, Jiwen Lu |
| 2022 | IJCAI | Uncertainty-Aware Representation Learning for Action Segmentation. | Lei Chen, Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu |
| 2022 | IROS | GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter. | Zhan Liu, Ziwei Wang, Sichao Huang, Jie Zhou, Jiwen Lu |
| 2022 | IUI | Estimating 3D Finger Pose via 2D-3D Fingerprint Matching. | Yongjie Duan, Ke He, Jianjiang Feng, Jiwen Lu, Jie Zhou |
| 2021 | AAAI | Multi-Proxy Wasserstein Classifier for Image Classification. | Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh |
| 2021 | AAAI | 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 |
| 2021 | CVPR | Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression. | Wanhua Li, Xiaoke Huang, Jiwen Lu, Jianjiang Feng, Jie Zhou |
| 2021 | CVPR | Meta-Mining Discriminative Samples for Kinship Verification. | Wanhua Li, Shiwei Wang, Jiwen Lu, Jianjiang Feng, Jie Zhou |
| 2021 | CVPR | Self-Supervised Video Hashing via Bidirectional Transformers. | Shuyan Li, Xiu Li, Jiwen Lu, Jie Zhou |
| 2021 | CVPR | 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 |
| 2021 | CVPR | Pseudo Facial Generation With Extreme Poses for Face Recognition. | Guoli Wang, Jiaqi Ma, Qian Zhang, Jiwen Lu, Jie Zhou |
| 2021 | CVPR | PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds. | Yi Wei, Ziyi Wang, Yongming Rao, Jiwen Lu, Jie Zhou |
| 2021 | CVPR | Objects Are Different: Flexible Monocular 3D Object Detection. | Yunpeng Zhang, Jiwen Lu, Jie Zhou |
| 2021 | CVPR | Deep Compositional Metric Learning. | Wenzhao Zheng, Chengkun Wang, Jiwen Lu, Jie Zhou |
| 2021 | CVPR | 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 |
| 2021 | ICCV | Human Trajectory Prediction via Counterfactual Analysis. | Guangyi Chen, Junlong Li, Jiwen Lu, Jie Zhou |
| 2021 | ICCV | Personalized Trajectory Prediction via Distribution Discrimination. | Guangyi Chen, Junlong Li, Nuoxing Zhou, Liangliang Ren, Jiwen Lu |
| 2021 | ICCV | Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification. | Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou |
| 2021 | ICCV | 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 |
| 2021 | ICCV | Instance Similarity Learning for Unsupervised Feature Representation. | Ziwei Wang, Yunsong Wang, Ziyi Wu, Jiwen Lu, Jie Zhou |
| 2021 | ICCV | Generalizable Mixed-Precision Quantization via Attribution Rank Preservation. | Ziwei Wang, Han Xiao, Jiwen Lu, Jie Zhou |
| 2021 | ICCV | NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo. | Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, Jie Zhou |
| 2021 | ICCV | Frequency-Aware Spatiotemporal Transformers for Video Inpainting Detection. | Bingyao Yu, Wanhua Li, Xiu Li, Jiwen Lu, Jie Zhou |
| 2021 | ICCV | PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers. | Xumin Yu, Yongming Rao, Ziyi Wang, Zuyan Liu, Jiwen Lu, Jie Zhou |
| 2021 | ICCV | Group-aware Contrastive Regression for Action Quality Assessment. | Xumin Yu, Yongming Rao, Wenliang Zhao, Jiwen Lu, Jie Zhou |
| 2021 | ICCV | Towards Interpretable Deep Metric Learning with Structural Matching. | Wenliang Zhao, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou |
| 2021 | ICCV | Deep Relational Metric Learning. | Wenzhao Zheng, Borui Zhang, Jiwen Lu, Jie Zhou |
| 2021 | IROS | Similarity-Aware Fusion Network for 3D Semantic Segmentation. | Linqing Zhao, Jiwen Lu, Jie Zhou |
| 2021 | ICRA | FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection. | Yi Wei, Shang Su, Jiwen Lu, Jie Zhou |
| 2020 | ACCV | Domain-Transferred Face Augmentation Network. | Hao-Chiang Shao, Kang-Yu Liu, Chia-Wen Lin, Jiwen Lu |
| 2020 | CVPR | Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation. | Cheng Ma, Zhenyu Jiang, Yongming Rao, Jiwen Lu, Jie Zhou |
| 2020 | CVPR | Structure-Preserving Super Resolution With Gradient Guidance. | Cheng Ma, Yongming Rao, Yean Cheng, Ce Chen, Jiwen Lu, Jie Zhou |
| 2020 | CVPR | Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds. | Yongming Rao, Jiwen Lu, Jie Zhou |
| 2020 | CVPR | Uncertainty-Aware Score Distribution Learning for Action Quality Assessment. | Yansong Tang, Zanlin Ni, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, Jie Zhou |
| 2020 | CVPR | BiDet: An Efficient Binarized Object Detector. | Ziwei Wang, Ziyi Wu, Jiwen Lu, Jie Zhou |
| 2020 | CVPR | Deep Metric Learning via Adaptive Learnable Assessment. | Wenzhao Zheng, Jiwen Lu, Jie Zhou |
| 2020 | ECCV | Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification. | Guangyi Chen, Yuhao Lu, Jiwen Lu, Jie Zhou |
| 2020 | ECCV | Temporal Coherence or Temporal Motion: Which Is More Critical for Video-Based Person Re-identification? | Guangyi Chen, Yongming Rao, Jiwen Lu, Jie Zhou |
| 2020 | ECCV | Graph-Based Social Relation Reasoning. | Wanhua Li, Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou |
| 2020 | ECCV | MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation. | Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh |
| 2020 | ECCV | Reinforced Axial Refinement Network for Monocular 3D Object Detection. | Lijie Liu, Chufan Wu, Jiwen Lu, Lingxi Xie, Jie Zhou, Qi Tian |
| 2020 | ECCV | Spatial Geometric Reasoning for Room Layout Estimation via Deep Reinforcement Learning. | Liangliang Ren, Yangyang Song, Jiwen Lu, Jie Zhou |
| 2020 | ECCV | Deep Hashing with Active Pairwise Supervision. | Ziwei Wang, Quan Zheng, Jiwen Lu, Jie Zhou |
| 2020 | ECCV | Structural Deep Metric Learning for Room Layout Estimation. | Wenzhao Zheng, Jiwen Lu, Jie Zhou |
| 2020 | ECCV | Rotation-Robust Intersection over Union for 3D Object Detection. | Yu Zheng, Danyang Zhang, Sinan Xie, Jiwen Lu, Jie Zhou |
| 2019 | CVPR | Deep Embedding Learning With Discriminative Sampling Policy. | Yueqi Duan, Lei Chen, Jiwen Lu, Jie Zhou |
| 2019 | CVPR | UniformFace: Learning Deep Equidistributed Representation for Face Recognition. | Yueqi Duan, Jiwen Lu, Jie Zhou |
| 2019 | CVPR | Structural Relational Reasoning of Point Clouds. | Yueqi Duan, Yu Zheng, Jiwen Lu, Jie Zhou, Qi Tian |
| 2019 | CVPR | BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation. | Wanhua Li, Jiwen Lu, Jianjiang Feng, Chunjing Xu, Jie Zhou, Qi Tian |
| 2019 | CVPR | Deep Fitting Degree Scoring Network for Monocular 3D Object Detection. | Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou |
| 2019 | CVPR | Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition. | Yongming Rao, Jiwen Lu, Jie Zhou |
| 2019 | CVPR | COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis. | Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou |
| 2019 | CVPR | Learning Channel-Wise Interactions for Binary Convolutional Neural Networks. | Ziwei Wang, Jiwen Lu, Chenxin Tao, Jie Zhou, Qi Tian |
| 2019 | CVPR | Conditional Single-View Shape Generation for Multi-View Stereo Reconstruction. | Yi Wei, Shaohui Liu, Wang Zhao, Jiwen Lu |
| 2019 | CVPR | Enhanced Bayesian Compression via Deep Reinforcement Learning. | Xin Yuan, Liangliang Ren, Jiwen Lu, Jie Zhou |
| 2019 | CVPR | Hardness-Aware Deep Metric Learning. | Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou |
| 2019 | ICCV | Self-Critical Attention Learning for Person Re-Identification. | Guangyi Chen, Chunze Lin, Liangliang Ren, Jiwen Lu, Jie Zhou |
| 2019 | ICCV | Deep Meta Metric Learning. | Guangyi Chen, Tianren Zhang, Jiwen Lu, Jie Zhou |
| 2019 | ICCV | Neighborhood Preserving Hashing for Scalable Video Retrieval. | Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou |
| 2019 | ICCV | DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing. | Yongcheng Liu, Bin Fan, Gaofeng Meng, Jiwen Lu, Shiming Xiang, Chunhong Pan |
| 2019 | ICIP | Multi-View Geometric Mean Metric Learning for Kinship Verification. | Junlin Hu, Jiwen Lu, Li Liu, Jie Zhou |
| 2019 | MICCAI | Breast Mass Detection in Mammograms via Blending Adversarial Learning. | Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, Jie Zhou |
| 2018 | CVPR | Deep Hashing via Discrepancy Minimization. | Zhixiang Chen, Xin Yuan, Jiwen Lu, Qi Tian, Jie Zhou |
| 2018 | CVPR | GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning. | Yueqi Duan, Ziwei Wang, Jiwen Lu, Xudong Lin, Jie Zhou |
| 2018 | CVPR | Deep Adversarial Metric Learning. | Yueqi Duan, Wenzhao Zheng, Xudong Lin, Jiwen Lu, Jie Zhou |
| 2018 | CVPR | Learning Globally Optimized Object Detector via Policy Gradient. | Yongming Rao, Dahua Lin, Jiwen Lu, Jie Zhou |
| 2018 | CVPR | Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition. | Yansong Tang, Yi Tian, Jiwen Lu, Peiyang Li, Jie Zhou |
| 2018 | ECCV | Part-Activated Deep Reinforcement Learning for Action Prediction. | Lei Chen, Jiwen Lu, Zhanjie Song, Jie Zhou |
| 2018 | ECCV | Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking. | Minghao Guo, Jiwen Lu, Jie Zhou |
| 2018 | ECCV | Deep Variational Metric Learning. | Xudong Lin, Yueqi Duan, Qiyuan Dong, Jiwen Lu, Jie Zhou |
| 2018 | ECCV | Graininess-Aware Deep Feature Learning for Pedestrian Detection. | Chunze Lin, Jiwen Lu, Gang Wang, Jie Zhou |
| 2018 | ECCV | Collaborative Deep Reinforcement Learning for Multi-object Tracking. | Liangliang Ren, Jiwen Lu, Zifeng Wang, Qi Tian, Jie Zhou |
| 2018 | ECCV | Deep Reinforcement Learning with Iterative Shift for Visual Tracking. | Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, Jie Zhou |
| 2018 | ECCV | Relaxation-Free Deep Hashing via Policy Gradient. | Xin Yuan, Liangliang Ren, Jiwen Lu, Jie Zhou |
| 2018 | IROS | Adversarial Transfer Networks for Visual Tracking. | Lijie Liu, Jiwen Lu, Jie Zhou |
| 2018 | MICCAI | Order-Sensitive Deep Hashing for Multimorbidity Medical Image Retrieval. | Zhixiang Chen, Ruojin Cai, Jiwen Lu, Jianjiang Feng, Jie Zhou |
| 2018 | MICCAI | Endo3D: Online Workflow Analysis for Endoscopic Surgeries Based on 3D CNN and LSTM. | Weixiang Chen, Jianjiang Feng, Jiwen Lu, Jie Zhou |
| 2018 | MICCAI | Context Aware 3D Fully Convolutional Networks for Coronary Artery Segmentation. | Yongjie Duan, Jianjiang Feng, Jiwen Lu, Jie Zhou |
| 2018 | MICCAI | A Vessel-Focused 3D Convolutional Network for Automatic Segmentation and Classification of Coronary Artery Plaques in Cardiac CTA. | Jiang Liu, Cheng Jin, Jianjiang Feng, Yubo Du, Jiwen Lu, Jie Zhou |
| 2018 | MICCAI | Towards Accurate and Complete Registration of Coronary Arteries in CTA Images. | Shaowen Zeng, Jianjiang Feng, Yunqiang An, Bin Lu, Jiwen Lu, Jie Zhou |
| 2018 | VCIP | Multi-scale Deep Representation Learning for Face Detection. | Jifei Han, Jiwen Lu, Jianjiang Feng, Jie Zhou |
| 2018 | VCIP | Multi-Label Deep Sparse Hashing. | Venice Erin Liong, Jiwen Lu, Yap-Peng Tan |
| 2017 | AAAI | Cascade Subspace Clustering. | Xi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, Zhang Yi |
| 2017 | CVPR | Learning Deep Binary Descriptor with Multi-quantization. | Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, Jie Zhou |
| 2017 | CVPR | Consistent-Aware Deep Learning for Person Re-identification in a Camera Network. | Ji Lin, Liangliang Ren, Jiwen Lu, Jianjiang Feng, Jie Zhou |
| 2017 | ICCV | Cross-Modal Deep Variational Hashing. | Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, Jie Zhou |
| 2017 | ICCV | 3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-Scale 3D Point Clouds. | Fangyu Liu, Shuaipeng Li, Liqiang Zhang, Chenghu Zhou, Rongtian Ye, Yuebin Wang, Jiwen Lu |
| 2017 | ICCV | Attention-Aware Deep Reinforcement Learning for Video Face Recognition. | Yongming Rao, Jiwen Lu, Jie Zhou |
| 2017 | ICCV | Learning Discriminative Aggregation Network for Video-Based Face Recognition. | Yongming Rao, Ji Lin, Jiwen Lu, Jie Zhou |
| 2017 | ICIP | Localized multi-kernel discriminative canonical correlation analysis for video-based person re-identification. | Guangyi Chen, Jiwen Lu, Jianjiang Feng, Jie Zhou |
| 2017 | ICIP | Learning a cross-modal hashing network for multimedia search. | Venice Erin Liong, Jiwen Lu, Yap-Peng Tan |
| 2017 | ICIP | Action recognition in RGB-D egocentric videos. | Yansong Tang, Yi Tian, Jiwen Lu, Jianjiang Feng, Jie Zhou |
| 2017 | ICIP | Latent fingerprint enhancement using Gabor and minutia dictionaries. | Miao Xu, Jianjiang Feng, Jiwen Lu, Jie Zhou |
| 2017 | ICIP | Nonlinear subspace clustering. | Wencheng Zhu, Jiwen Lu, Jie Zhou |
| 2017 | MICCAI | Left Atrial Appendage Neck Modeling for Closure Surgery. | Cheng Jin, Heng Yu, Jianjiang Feng, Lei Wang, Jiwen Lu, Jie Zhou |
| 2017 | MICCAI | Detection of Substances in the Left Atrial Appendage by Spatiotemporal Motion Analysis Based on 4D-CT. | Cheng Jin, Heng Yu, Jianjiang Feng, Lei Wang, Jiwen Lu, Jie Zhou |
| 2017 | MICCAI | Left Atrium Segmentation in CT Volumes with Fully Convolutional Networks. | Honghui Liu, Jianjiang Feng, Zishun Feng, Jiwen Lu, Jie Zhou |
| 2016 | CVPR | Modality and Component Aware Feature Fusion for RGB-D Scene Classification. | Anran Wang, Jianfei Cai, Jiwen Lu, Tat-Jen Cham |
| 2016 | CVPR | Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks. | Kevin Lin, Jiwen Lu, Chu-Song Chen, Jie Zhou |
| 2016 | ECCV | A Siamese Long Short-Term Memory Architecture for Human Re-identification. | Rahul Rama Varior, Bing Shuai, Jiwen Lu, Dong Xu, Gang Wang |
| 2016 | MICCAI | Left Atrial Appendage Segmentation Based on Ranking 2-D Segmentation Proposals. | Lei Wang, Jianjiang Feng, Cheng Jin, Jiwen Lu, Jie Zhou |
| 2015 | CVPR | Deep transfer metric learning. | Junlin Hu, Jiwen Lu, Yap-Peng Tan |
| 2015 | CVPR | Deep hashing for compact binary codes learning. | Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, Jie Zhou |
| 2015 | CVPR | Multi-manifold deep metric learning for image set classification. | Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin, Jie Zhou |
| 2015 | ICCV | MMSS: Multi-modal Sharable and Specific Feature Learning for RGB-D Object Recognition. | Anran Wang, Jianfei Cai, Jiwen Lu, Tat-Jen Cham |
| 2015 | ICCV | Multi-View Complementary Hash Tables for Nearest Neighbor Search. | Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, Bo Lang |
| 2015 | ICCV | Simultaneous Local Binary Feature Learning and Encoding for Face Recognition. | Jiwen Lu, Venice Erin Liong, Jie Zhou |
| 2015 | ICCV | Multiple Feature Fusion via Weighted Entropy for Visual Tracking. | Lin Ma, Jiwen Lu, Jianjiang Feng, Jie Zhou |
| 2015 | ICCV | Local Subspace Collaborative Tracking. | Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu, Jie Zhou |
| 2014 | ACCV | Large Margin Multi-metric Learning for Face and Kinship Verification in the Wild. | Junlin Hu, Jiwen Lu, Junsong Yuan, Yap-Peng Tan |
| 2014 | CVPR | Discriminative Deep Metric Learning for Face Verification in the Wild. | Junlin Hu, Jiwen Lu, Yap-Peng Tan |
| 2014 | ECCV | Efficient Sparsity Estimation via Marginal-Lasso Coding. | Tzu-Yi Hung, Jiwen Lu, Yap-Peng Tan, Shenghua Gao |
| 2014 | ECCV | Regularized Bayesian Metric Learning for Person Re-identification. | Venice Erin Liong, Jiwen Lu, Yongxin Ge |
| 2014 | ECCV | Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition. | Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin |
| 2014 | ECCV | Multi-modal Unsupervised Feature Learning for RGB-D Scene Labeling. | Anran Wang, Jiwen Lu, Gang Wang, Jianfei Cai, Tat-Jen Cham |
| 2014 | ECCV | Activity-Based Person Identification Using Discriminative Sparse Projections and Orthogonal Ensemble Metric Learning. | Haibin Yan, Jiwen Lu, Xiuzhuang Zhou |
| 2014 | MMSP | Estimating spatial layout of rooms from RGB-D videos. | Anran Wang, Jiwen Lu, Jianfei Cai, Gang Wang, Tat-Jen Cham |
| 2013 | ICASSP | Age estimation from human body images. | Yongxin Ge, Jiwen Lu, Wu Fan, Dan Yang |
| 2013 | ICASSP | Makeup-robust face verification. | Junlin Hu, Yongxin Ge, Jiwen Lu, Xin Feng |
| 2013 | ICASSP | Activity-based human identification. | Tzu-Yi Hung, Jiwen Lu, Junlin Hu, Yap-Peng Tan, Yongxin Ge |
| 2013 | ICCV | Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-kernel Metric Learning. | Jiwen Lu, Gang Wang, Pierre Moulin |
| 2013 | ICCV | Robust Feature Set Matching for Partial Face Recognition. | Renliang Weng, Jiwen Lu, Junlin Hu, Gao Yang, Yap-Peng Tan |
| 2013 | ISCAS | Cross-scene abnormal event detection. | Tzu-Yi Hung, Jiwen Lu, Yap-Peng Tan |
| 2013 | VCIP | Robust partial face recognition using instance-to-class distance. | Junlin Hu, Jiwen Lu, Yap-Peng Tan |
| 2012 | CVPR | Neighborhood repulsed metric learning for kinship verification. | Jiwen Lu, Junlin Hu, Xiuzhuang Zhou, Yuanyuan Shang, Yap-Peng Tan, Gang Wang |
| 2012 | ECCV | Human-Centric Indoor Environment Modeling from Depth Videos. | Jiwen Lu, Gang Wang |
| 2012 | ICPR | Learning modality-invariant features for heterogeneous face recognition. | Likun Huang, Jiwen Lu, Yap-Peng Tan |
| 2012 | ICPR | Gait-based gender classification in unconstrained environments. | Jiwen Lu, Gang Wang, Thomas S. Huang |
| 2012 | ISCAS | Generalized subspace distance for set-to-set image classification. | Likun Huang, Jiwen Lu, Gao Yang, Yap-Peng Tan |
| 2011 | ICASSP | Fusing shape and texture information for facial age estimation. | Jiwen Lu, Yap-Peng Tan |
| 2011 | ICCV | Discriminative multi-manifold analysis for face recognition from a single training sample per person. | Jiwen Lu, Yap-Peng Tan, Gang Wang |
| 2011 | VCIP | Face recognition using an enhanced age simulation method. | Tian Xia, Jiwen Lu, Yap-Peng Tan |
| 2010 | CVPR | Cost-sensitive subspace learning for face recognition. | Jiwen Lu, Yap-Peng Tan |
| 2010 | CVPR | Ordinary preserving manifold analysis for human age estimation. | Jiwen Lu, Yap-Peng Tan |
| 2010 | ICARCV | A comparative study of age-invariant face recognition with different feature representations. | Cui Meng, Jiwen Lu, Yap-Peng Tan |
| 2010 | ICASSP | Gait-based human age estimation. | Jiwen Lu, Yap-Peng Tan |
| 2010 | ICIP | Cost-sensitive subspace learning for human age estimation. | Jiwen Lu, Yap-Peng Tan |
| 2010 | ICIP | View recognition of human gait sequences in videos. | Jiwen Lu, Yap-Peng Tan |
| 2009 | ICASSP | Doubly weighted nonnegative matrix factorization for imbalanced face recognition. | Jiwen Lu, Yap-Peng Tan |
| 2009 | ICASSP | Two-directional two-dimensional discriminant locality preserving projections for image recognition. | Jiwen Lu, Yap-Peng Tan |
| 2009 | ICIP | Enhanced gait recognition based on weighted dynamic feature. | Nini Liu, Jiwen Lu, Yap-Peng Tan, Zhenzhong Chen |
| 2009 | ISCAS | Uncorrelated Multilinear Geometry Preserving Projections for Multimodal Biometrics Recognition. | Jiwen Lu, Yap-Peng Tan |
| 2008 | ICIP | Enhanced face recognition using tensor neighborhood preserving discriminant projections. | Jiwen Lu, Yap-Peng Tan |
| 2006 | ISNN | Gait Recognition Using Wavelet Descriptors and Independent Component Analysis. | Jiwen Lu, Erhu Zhang, Cuining Jing |
| 2005 | ICNC | Gait Recognition via Independent Component Analysis Based on Support Vector Machine and Neural Network. | Erhu Zhang, Jiwen Lu, Ganglong Duan |
| 2005 | ISNN | Gait Recognition Using Independent Component Analysis. | Jiwen Lu, Erhu Zhang, Zhigang Zhang, Yanxue Xue |