Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition. - Xinge Zhu; Liang Li 003; Weigang Zhang; Tianrong Rao; Min Xu 001; Qingming Huang; Dong Xu 001 (IJCAI, 2017)

Image Tagging by Joint Deep Visual-Semantic Propagation. - Yuexin Ma; Xinge Zhu; Yujing Sun 001; Bingzheng Yan (PCM (1), 2017)

Generative Adversarial Frontal View to Bird View Synthesis. - Xinge Zhu; Zhichao Yin; Jianping Shi; Hongsheng Li 001; Dahua Lin (3DV, 2018)

Pose Guided Human Video Generation. - Ceyuan Yang; Zhe Wang 006; Xinge Zhu; Chen Huang 001; Jianping Shi; Dahua Lin (ECCV (10), 2018)

Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation. - Xinge Zhu; Hui Zhou 005; Ceyuan Yang; Jianping Shi; Dahua Lin (ECCV (7), 2018)

TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents. - Yuexin Ma; Xinge Zhu; Sibo Zhang; Ruigang Yang; Wenping Wang 001; Dinesh Manocha (AAAI, 2019)

Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection. - Ruoqi Sun; Xinge Zhu; Chongruo Wu; Chen Huang 001; Jianping Shi; Lizhuang Ma (CVPR, 2019)

Adapting Object Detectors via Selective Cross-Domain Alignment. - Xinge Zhu; Jiangmiao Pang; Ceyuan Yang; Jianping Shi; Dahua Lin (CVPR, 2019)

Depth Completion From Sparse LiDAR Data With Depth-Normal Constraints. - Yan Xu; Xinge Zhu; Jianping Shi; Guofeng Zhang 001; Hujun Bao; Hongsheng Li 001 (ICCV, 2019)

High Performance Gesture Recognition via Effective and Efficient Temporal Modeling. - Yang Yi; Feng Ni; Yuexin Ma; Xinge Zhu; Yuankai Qi; Riming Qiu; Shijie Zhao; Feng Li; Yongtao Wang (IJCAI, 2019)

Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds. - Tai Wang; Xinge Zhu; Dahua Lin (CoRL, 2020)

SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks. - Yan Xu; Zhaoyang Huang; Kwan-Yee Lin; Xinge Zhu; Jianping Shi; Hujun Bao; Guofeng Zhang 001; Hongsheng Li 001 (CoRL, 2020)

Tensor Low-Rank Reconstruction for Semantic Segmentation. - Wanli Chen; Xinge Zhu; Ruoqi Sun; Junjun He; Ruiyu Li; Xiaoyong Shen; Bei Yu 001 (ECCV (17), 2020)

AutoTrajectory: Label-Free Trajectory Extraction and Prediction from Videos Using Dynamic Points. - Yuexin Ma; Xinge Zhu; Xinjing Cheng; Ruigang Yang; Jiming Liu 001; Dinesh Manocha (ECCV (13), 2020)

SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds. - Xinge Zhu; Yuexin Ma; Tai Wang; Yan Xu; Jianping Shi; Dahua Lin (ECCV (25), 2020)

Adversarial Attacks on Monocular Depth Estimation. - Ziqi Zhang; Xinge Zhu; Yingwei Li; Xiangqun Chen; Yao Guo 001 (CoRR, 2020)

Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation. - Hui Zhou 005; Xinge Zhu; Xiao Song 002; Yuexin Ma; Zhe Wang 006; Hongsheng Li 001; Dahua Lin (CoRR, 2020)

Channel-wise Alignment for Adaptive Object Detection. - Hang Yang; Shan Jiang; Xinge Zhu; Mingyang Huang; Zhiqiang Shen; Chunxiao Liu; Jianping Shi (CoRR, 2020)

Probabilistic and Geometric Depth: Detecting Objects in Perspective. - Tai Wang; Xinge Zhu; Jiangmiao Pang; Dahua Lin (CoRL, 2021)

LiDAR-Based Panoptic Segmentation via Dynamic Shifting Network. - Fangzhou Hong; Hui Zhou 005; Xinge Zhu; Hongsheng Li 001; Ziwei Liu 002 (CVPR, 2021)

AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching. - Xiao Song 002; Guorun Yang; Xinge Zhu; Hui Zhou 005; Zhe Wang 006; Jianping Shi (CVPR, 2021)

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation. - Xinge Zhu; Hui Zhou 005; Tai Wang; Fangzhou Hong; Yuexin Ma; Wei Li 111; Hongsheng Li 001; Dahua Lin (CVPR, 2021)

FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection. - Tai Wang; Xinge Zhu; Jiangmiao Pang; Dahua Lin (ICCVW, 2021)

Input-Output Balanced Framework for Long-Tailed Lidar Semantic Segmentation. - Peishan Cong; Xinge Zhu; Yuexin Ma (ICME, 2021)

TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers. - Xuyang Bai; Zeyu Hu; Xinge Zhu; Qingqiu Huang; Yilun Chen; Hongbo Fu 001; Chiew-Lan Tai (CVPR, 2022)

STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes. - Peishan Cong; Xinge Zhu; Feng Qiao; Yiming Ren; Xidong Peng; Yuenan Hou; Lan Xu; Ruigang Yang; Dinesh Manocha; Yuexin Ma (CVPR, 2022)

Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation. - Yuenan Hou; Xinge Zhu; Yuexin Ma; Chen Change Loy; Yikang Li 002 (CVPR, 2022)

Efficient Point Cloud Analysis Using Hilbert Curve. - Wanli Chen; Xinge Zhu; Guojin Chen; Bei Yu 001 (ECCV (2), 2022)

Self-Supervised Point Cloud Completion on Real Traffic Scenes Via Scene-Concerned Bottom-Up Mechanism. - Yiming Ren; Peishan Cong; Xinge Zhu; Yuexin Ma (ICME, 2022)

SIDE: Center-based Stereo 3D Detector with Structure-aware Instance Depth Estimation. - Xidong Peng; Xinge Zhu; Tai Wang; Yuexin Ma (WACV, 2022)

LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network. - Fangzhou Hong; Hui Zhou 005; Xinge Zhu; Hongsheng Li 001; Ziwei Liu 002 (CoRR, 2022)

Towards 3D Scene Understanding by Referring Synthetic Models. - Runnan Chen; Xinge Zhu; Nenglun Chen; Dawei Wang 006; Wei Li 111; Yuexin Ma; Ruigang Yang; Wenping Wang 001 (CoRR, 2022)

MV-FCOS3D++: Multi-View Camera-Only 4D Object Detection with Pretrained Monocular Backbones. - Tai Wang; Qing Lian; Chenming Zhu; Xinge Zhu; Wenwei Zhang (CoRR, 2022)

Vision-Centric BEV Perception: A Survey. - Yuexin Ma; Tai Wang; Xuyang Bai; Huitong Yang; Yuenan Hou; Yaming Wang; Yu Qiao 001; Ruigang Yang; Dinesh Manocha; Xinge Zhu (CoRR, 2022)

Rethinking Trajectory Prediction via "Team Game". - Zikai Wei; Xinge Zhu; Bo Dai 002; Dahua Lin (CoRR, 2022)

Zero-shot Point Cloud Segmentation by Transferring Geometric Primitives. - Runnan Chen; Xinge Zhu; Nenglun Chen; Wei Li 111; Yuexin Ma; Ruigang Yang; Wenping Wang 001 (CoRR, 2022)

AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach. - Xiao Song 002; Guorun Yang; Xinge Zhu; Hui Zhou 005; Yuexin Ma; Zhe Wang 006; Jianping Shi (Int. J. Comput. Vis., 2022)

Correction to: AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach. - Xiao Song 002; Guorun Yang; Xinge Zhu; Hui Zhou 005; Yuexin Ma; Zhe Wang 006; Jianping Shi (Int. J. Comput. Vis., 2022)

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-Based Perception. - Xinge Zhu; Hui Zhou 005; Tai Wang; Fangzhou Hong; Wei Li 111; Yuexin Ma; Hongsheng Li 001; Ruigang Yang; Dahua Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection. - Xidong Peng; Xinge Zhu; Yuexin Ma (AAAI, 2023)

CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP. - Runnan Chen; Youquan Liu; Lingdong Kong; Xinge Zhu; Yuexin Ma; Yikang Li 002; Yuenan Hou; Yu Qiao 001; Wenping Wang 001 (CVPR, 2023)

SCPNet: Semantic Scene Completion on Point Cloud. - Zhaoyang Xia; Youquan Liu; Xin Li 110; Xinge Zhu; Yuexin Ma; Yikang Li 002; Yuenan Hou; Yu Qiao 001 (CVPR, 2023)

Rethinking Range View Representation for LiDAR Segmentation. - Lingdong Kong; Youquan Liu; Runnan Chen; Yuexin Ma; Xinge Zhu; Yikang Li 002; Yuenan Hou; Yu Qiao 001; Ziwei Liu 002 (ICCV, 2023)

UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase. - Youquan Liu; Runnan Chen; Xin Li 110; Lingdong Kong; Yuchen Yang 003; Zhaoyang Xia; Yeqi Bai; Xinge Zhu; Yuexin Ma; Yikang Li 002; Yu Qiao 001; Yuenan Hou (ICCV, 2023)

See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data. - Yuhang Lu; Qi Jiang; Runnan Chen; Yuenan Hou; Xinge Zhu; Yuexin Ma (ICCV, 2023)

PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection. - Ming Nie; Yujing Xue; Chunwei Wang; Chaoqiang Ye; Hang Xu 004; Xinge Zhu; Qingqiu Huang; Michael Bi Mi; Xinchao Wang; Li Zhang 040 (ICCV, 2023)

Human-centric Scene Understanding for 3D Large-scale Scenarios. - Yiteng Xu; Peishan Cong; Yichen Yao; Runnan Chen; Yuenan Hou; Xinge Zhu; Xuming He 001; Jingyi Yu; Yuexin Ma (ICCV, 2023)

GANet: Goal Area Network for Motion Forecasting. - Mingkun Wang; Xinge Zhu; Changqian Yu; Wei Li 111; Yuexin Ma; Ruochun Jin; Xiaoguang Ren; Dongchun Ren; Mingxu Wang; Wenjing Yang 002 (ICRA, 2023)

One Training for Multiple Deployments: Polar-based Adaptive BEV Perception for Autonomous Driving. - Huitong Yang; Xuyang Bai; Xinge Zhu; Yuexin Ma (ICRA, 2023)

ContrastMotion: Self-supervised Scene Motion Learning for Large-Scale LiDAR Point Clouds. - Xiangze Jia; Hui Zhou 005; Xinge Zhu; Yandong Guo; Ji Zhang; Yuexin Ma (IJCAI, 2023)

Bridging Language and Geometric Primitives for Zero-shot Point Cloud Segmentation. - Runnan Chen; Xinge Zhu; Nenglun Chen; Wei Li 111; Yuexin Ma; Ruigang Yang; Wenping Wang 001 (ACM Multimedia, 2023)

Towards Label-free Scene Understanding by Vision Foundation Models. - Runnan Chen; Youquan Liu; Lingdong Kong; Nenglun Chen; Xinge Zhu; Yuexin Ma; Tongliang Liu; Wenping Wang 001 (NeurIPS, 2023)

Cross-Modal and Cross-Domain Knowledge Transfer for Label-Free 3D Segmentation. - Jingyu Zhang; Huitong Yang; Daijie Wu; Jacky Keung; Xuesong Li 001; Xinge Zhu; Yuexin Ma (PRCV (3), 2023)

WildRefer: 3D Object Localization in Large-scale Dynamic Scenes with Multi-modal Visual Data and Natural Language. - Zhenxiang Lin; Xidong Peng; Peishan Cong; Yuenan Hou; Xinge Zhu; Sibei Yang; Yuexin Ma (CoRR, 2023)

Cross-modal and Cross-domain Knowledge Transfer for Label-free 3D Segmentation. - Jingyu Zhang; Huitong Yang; Daijie Wu; Xuesong Li 001; Xinge Zhu; Yuexin Ma (CoRR, 2023)

Model2Scene: Learning 3D Scene Representation via Contrastive Language-CAD Models Pre-training. - Runnan Chen; Xinge Zhu; Nenglun Chen; Dawei Wang 006; Wei Li 111; Yuexin Ma; Ruigang Yang; Tongliang Liu; Wenping Wang 001 (CoRR, 2023)

SAM-guided Unsupervised Domain Adaptation for 3D Segmentation. - Xidong Peng; Runnan Chen; Feng Qiao; Lingdong Kong; Youquan Liu; Tai Wang; Xinge Zhu; Yuexin Ma (CoRR, 2023)

TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation. - Xiaopei Wu; Yuenan Hou; Xiaoshui Huang; Binbin Lin; Tong He 001; Xinge Zhu; Yuexin Ma; Boxi Wu; Haifeng Liu 001; Deng Cai 001; Wanli Ouyang (CVPR, 2024)

A Unified Framework for Human-centric Point Cloud Video Understanding. - Yiteng Xu; Kecheng Ye; Xiao Han; Yiming Ren; Xinge Zhu; Yuexin Ma (CVPR, 2024)

HUNTER: Unsupervised Human-Centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes. - Yichen Yao; Zimo Jiang; Yujing Sun 001; Zhencai Zhu; Xinge Zhu; Runnan Chen; Yuexin Ma (CVPR, 2024)

WildRefer: 3D Object Localization in Large-Scale Dynamic Scenes with Multi-modal Visual Data and Natural Language. - Zhenxiang Lin; Xidong Peng; Peishan Cong; Ge Zheng; Yujing Sun 001; Yuenan Hou; Xinge Zhu; Sibei Yang; Yuexin Ma (ECCV (46), 2024)

Learning to Adapt SAM for Segmenting Cross-Domain Point Clouds. - Xidong Peng; Runnan Chen; Feng Qiao; Lingdong Kong; Youquan Liu; Yujing Sun 001; Tai Wang; Xinge Zhu; Yuexin Ma (ECCV (43), 2024)

OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries. - Yuhang Lu; Xinge Zhu; Tai Wang; Yuexin Ma (NeurIPS, 2024)

LaserHuman: Language-guided Scene-aware Human Motion Generation in Free Environment. - Peishan Cong; Ziyi Wang; Zhiyang Dou; Yiming Ren; Wei Yin 006; Kai Cheng; Yujing Sun 001; Xiaoxiao Long; Xinge Zhu; Yuexin Ma (CoRR, 2024)

MCPDepth: Omnidirectional Depth Estimation via Stereo Matching from Multi-Cylindrical Panoramas. - Feng Qiao; Zhexiao Xiong; Xinge Zhu; Yuexin Ma; Qiumeng He; Nathan Jacobs (CoRR, 2024)

Registration between Point Cloud Streams and Sequential Bounding Boxes via Gradient Descent. - Xuesong Li 001; Xinge Zhu; Yuexin Ma; Subhan Khan; José E. Guivant (CoRR, 2024)

LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation. - Lin Zhao 012; Hui Zhou 005; Xinge Zhu; Xiao Song 002; Hongsheng Li 001; Wenbing Tao (IEEE Trans. Multim., 2024)

Unified 3D and 4D Panoptic Segmentation via Dynamic Shifting Networks. - Fangzhou Hong; Lingdong Kong; Hui Zhou 005; Xinge Zhu; Hongsheng Li 001; Ziwei Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Vision-Centric BEV Perception: A Survey. - Yuexin Ma; Tai Wang; Xuyang Bai; Huitong Yang; Yuenan Hou; Yaming Wang; Yu Qiao 001; Ruigang Yang; Xinge Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Can LVLMs Obtain a Driver's License? A Benchmark Towards Reliable AGI for Autonomous Driving. - Yuhang Lu; Yichen Yao; Jiadong Tu; Jiangnan Shao; Yuexin Ma; Xinge Zhu (AAAI, 2025)

FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments. - Aoru Xue; Yiming Ren; Zining Song; Mao Ye; Xinge Zhu; Yuexin Ma (AAAI, 2025)

EvolvingGrasp: Evolutionary Grasp Generation via Efficient Preference Alignment. - Yufei Zhu; Yiming Zhong; Zemin Yang; Peishan Cong; Jingyi Yu; Xinge Zhu; Yuexin Ma (CoRR, 2025)

FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens. - Yiming Zhong; Yumeng Liu; Chuyang Xiao; Zemin Yang; Youzhuo Wang; Yufei Zhu; Ye Shi 001; Yujing Sun 001; Xinge Zhu; Yuexin Ma (CoRR, 2025)

HUMOF: Human Motion Forecasting in Interactive Social Scenes. - Caiyi Sun; Yujing Sun 001; Xiao Han; Zemin Yang; Jiawei Liu; Xinge Zhu; Siu Ming Yiu; Yuexin Ma (CoRR, 2025)

STAGE: A Stream-Centric Generative World Model for Long-Horizon Driving-Scene Simulation. - Jiamin Wang; Yichen Yao; Xiang Feng; Hang Wu; Yaming Wang; Qingqiu Huang; Yuexin Ma; Xinge Zhu (CoRR, 2025)

ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving. - Yuhang Lu; Jiadong Tu; Yuexin Ma; Xinge Zhu (CoRR, 2025)