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

Jointly Learning Deep Features, Deformable Parts, Occlusion and Classification for Pedestrian Detection. - Wanli Ouyang; Hui Zhou 005; Hongsheng Li 001; Quanquan Li; Junjie Yan; Xiaogang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Crafting GBD-Net for Object Detection. - Xingyu Zeng; Wanli Ouyang; Junjie Yan; Hongsheng Li 001; Tong Xiao; Kun Wang; Yu Liu 015; Yucong Zhou; Bin Yang 022; Zhe Wang 006; Hui Zhou 005; Xiaogang Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Pedestrian Detection via Body Part Semantic and Contextual Information With DNN. - Shiguang Wang; Jian Cheng 003; Haijun Liu 001; Feng Wang 015; Hui Zhou 005 (IEEE Trans. Multim., 2018)

Robust Multi-Modality Multi-Object Tracking. - Wenwei Zhang; Hui Zhou 005; Shuyang Sun; Zhe Wang 006; Jianping Shi; Chen Change Loy (ICCV, 2019)

Deep Continuous Conditional Random Fields With Asymmetric Inter-Object Constraints for Online Multi-Object Tracking. - Hui Zhou 005; Wanli Ouyang; Jian Cheng 003; Xiaogang Wang 001; Hongsheng Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud. - Hongwei Yi; Shaoshuai Shi; Mingyu Ding; Jiankai Sun; Kui Xu 004; Hui Zhou 005; Zhe Wang 006; Sheng Li 008; Guoping Wang (ICRA, 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)

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)

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

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)

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)