Lu, Jiwen

174 publications

NeurIPS 2025 Collaborating Vision, Depth, and Thermal Signals for Multi-Modal Tracking: Dataset and Algorithm Xue-Feng Zhu, Tianyang Xu, Yifan Pan, Jinjie Gu, Xi Li, Jiwen Lu, Xiaojun Wu, Josef Kittler
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
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
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 GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction Yuanhui Huang, Amonnut Thammatadatrakoon, Wenzhao Zheng, Yunpeng Zhang, Dalong Du, 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
CoRL 2025 MoTo: A Zero-Shot Plug-in Interaction-Aware Navigation for General Mobile Manipulation Zhenyu Wu, Angyuan Ma, Xiuwei Xu, Hang Yin, Yinan Liang, Ziwei Wang, Jiwen Lu, Haibin Yan
ICLR 2025 Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution Zuyan Liu, Yuhao Dong, Ziwei Liu, Winston Hu, Jiwen Lu, Yongming Rao
ICCV 2025 PlaneRAS: Learning Planar Primitives for 3D Plane Recovery Fang Zhang, Wenzhao Zheng, Linqing Zhao, Zelan Zhu, Jiwen Lu, Xiuzhuang Zhou
NeurIPS 2025 Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory Yuqi Wu, Wenzhao Zheng, Jie Zhou, Jiwen Lu
NeurIPS 2025 QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Sicheng Zuo, Wenzhao Zheng, Xiaoyong Han, Longchao Yang, Yong Pan, Jiwen Lu
ICCV 2025 SparseMM: Head Sparsity Emerges from Visual Concept Responses in MLLMs Jiahui Wang, Zuyan Liu, Yongming Rao, Jiwen Lu
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
ICLR 2025 ThinkBot: Embodied Instruction Following with Thought Chain Reasoning Guanxing Lu, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang
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
ECCV 2024 3D Small Object Detection with Dynamic Spatial Pruning Zhihao Sun, Ziwei Wang, Hongmin Liu, Jie Zhou, Jiwen Lu, Xiuwei Xu
NeurIPS 2024 Bridging the Divide: Reconsidering SoftMax and Linear Attention Dongchen Han, Yifan Pu, Zhuofan Xia, Yizeng Han, Xuran Pan, Xiu Li, Jiwen Lu, Shiji Song, Gao Huang
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
ECCV 2024 DriveDreamer: Towards Real-World-Driven World Models for Autonomous Driving Xiaofeng Wang, Zheng Zhu, Guan Huang, Chen Xinze, Jiagang Zhu, Jiwen Lu
ECCV 2024 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
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
NeurIPS 2024 GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation Chubin Zhang, Hongliang Song, Yi Wei, Yu Chen, Jiwen Lu, Yansong Tang
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
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
CVPR 2024 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
ECCV 2024 ManiGaussian: Dynamic Gaussian Splatting for Multi-Task Robotic Manipulation Guanxing Lu, Shiyi Zhang, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang
CVPR 2024 Memory-Based Adapters for Online 3D Scene Perception Xiuwei Xu, Chong Xia, Ziwei Wang, Linqing Zhao, Yueqi Duan, Jie Zhou, Jiwen Lu
CVPR 2024 MirageRoom: 3D Scene Segmentation with 2D Pre-Trained Models by Mirage Projection Haowen Sun, Yueqi Duan, Juncheng Yan, Yifan Liu, Jiwen Lu
CVPR 2024 Narrative Action Evaluation with Prompt-Guided Multimodal Interaction Shiyi Zhang, Sule Bai, Guangyi Chen, Lei Chen, Jiwen Lu, Junle Wang, Yansong Tang
ECCV 2024 OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving Wenzhao Zheng, Weiliang Chen, Yuanhui Huang, Borui Zhang, Yueqi Duan, Jiwen Lu
CVPR 2024 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
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 Segment and Caption Anything Xiaoke Huang, Jianfeng Wang, Yansong Tang, Zheng Zhang, Han Hu, Jiwen Lu, Lijuan Wang, Zicheng Liu
CVPR 2024 SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction Yuanhui Huang, Wenzhao Zheng, Borui Zhang, Jie Zhou, Jiwen Lu
ECCV 2024 SpatialFormer: Towards Generalizable Vision Transformers with Explicit Spatial Understanding Han Xiao, Wenzhao Zheng, Sicheng Zuo, Peng Gao, Jie Zhou, Jiwen Lu
CVPR 2024 Towards Accurate Post-Training Quantization for Diffusion Models Changyuan Wang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu
CVPR 2024 X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition Shuofeng Sun, Yongming Rao, Jiwen Lu, Haibin Yan
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
CVPRW 2023 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
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
ICLR 2023 GAIN: On the Generalization of Instructional Action Understanding Junlong Li, Guangyi Chen, Yansong Tang, Jinan Bao, Kun Zhang, Jie Zhou, Jiwen Lu
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
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
ICCV 2023 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
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 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
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
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
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
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
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
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
ECCV 2022 Spike Transformer: Monocular Depth Estimation for Spiking Camera Jiyuan Zhang, Lulu Tang, Zhaofei Yu, Jiwen Lu, Tiejun Huang
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
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
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
ICCV 2021 Human Trajectory Prediction via Counterfactual Analysis Guangyi Chen, Junlong Li, Jiwen Lu, 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 Personalized Trajectory Prediction via Distribution Discrimination Guangyi Chen, Junlong Li, Nuoxing Zhou, Liangliang Ren, Jiwen Lu
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
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
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
ECCV 2020 Graph-Based Social Relation Reasoning Wanhua Li, Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou
ECCV 2020 MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
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
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
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
ICCV 2017 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
ICCV 2017 Attention-Aware Deep Reinforcement Learning for Video Face Recognition Yongming Rao, Jiwen Lu, Jie Zhou
AAAI 2017 Cascade Subspace Clustering Xi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, Zhang Yi
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
NeurIPS 2017 Runtime Neural Pruning Ji Lin, Yongming Rao, Jiwen Lu, Jie Zhou
ECCV 2016 A Siamese Long Short-Term Memory Architecture for Human Re-Identification Rahul Rama Varior, Bing Shuai, Jiwen Lu, Dong Xu, Gang Wang
CVPR 2016 Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks Kevin Lin, Jiwen Lu, Chu-Song Chen, Jie Zhou
CVPR 2016 Modality and Component Aware Feature Fusion for RGB-D Scene Classification Anran Wang, Jianfei Cai, Jiwen Lu, Tat-Jen Cham
CVPR 2015 Deep Hashing for Compact Binary Codes Learning Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, Jie Zhou
CVPR 2015 Deep Transfer Metric Learning Junlin Hu, Jiwen Lu, Yap-Peng Tan
ICCV 2015 Local Subspace Collaborative Tracking Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu, Jie Zhou
ICCV 2015 MMSS: Multi-Modal Sharable and Specific Feature Learning for RGB-D Object Recognition Anran Wang, Jianfei Cai, Jiwen Lu, Tat-Jen Cham
CVPR 2015 Multi-Manifold Deep Metric Learning for Image Set Classification Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin, Jie Zhou
ICCV 2015 Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, Bo Lang
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
ECCVW 2014 Activity-Based Person Identification Using Discriminative Sparse Projections and Orthogonal Ensemble Metric Learning Haibin Yan, Jiwen Lu, Xiuzhuang Zhou
CVPR 2014 Discriminative Deep Metric Learning for Face Verification in the Wild Junlin Hu, Jiwen Lu, Yap-Peng Tan
ECCV 2014 Efficient Sparsity Estimation via Marginal-Lasso Coding Tzu-Yi Hung, Jiwen Lu, Yap-Peng Tan, Shenghua Gao
ECCV 2014 Multi-Modal Unsupervised Feature Learning for RGB-D Scene Labeling Anran Wang, Jiwen Lu, Gang Wang, Jianfei Cai, Tat-Jen Cham
ECCV 2014 Regularized Bayesian Metric Learning for Person Re-Identification Venice Erin Liong, Jiwen Lu, Yongxin Ge
ECCVW 2014 Regularized Bayesian Metric Learning for Person Re-Identification Venice Erin Liong, Jiwen Lu, Yongxin Ge
ECCV 2014 Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin
ICCV 2013 Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-Kernel Metric Learning Jiwen Lu, Gang Wang, Pierre Moulin
ICCV 2013 Robust Feature Set Matching for Partial Face Recognition Renliang Weng, Jiwen Lu, Junlin Hu, Gao Yang, Yap-Peng Tan
ECCV 2012 Human-Centric Indoor Environment Modeling from Depth Videos Jiwen Lu, Gang Wang
ECCVW 2012 Human-Centric Indoor Environment Modeling from Depth Videos Jiwen Lu, Gang Wang
CVPR 2012 Neighborhood Repulsed Metric Learning for Kinship Verification Jiwen Lu, Junlin Hu, Xiuzhuang Zhou, Yuanyuan Shang, Yap-Peng Tan, Gang Wang
ICCV 2011 Discriminative Multi-Manifold Analysis for Face Recognition from a Single Training Sample per Person Jiwen Lu, Yap-Peng Tan, Gang Wang
CVPR 2010 Cost-Sensitive Subspace Learning for Face Recognition Jiwen Lu, Yap-Peng Tan
CVPRW 2010 Ordinary Preserving Manifold Analysis for Human Age Estimation Jiwen Lu, Yap-Peng Tan