The ApolloScape Dataset for Autonomous Driving. - Xinyu Huang 001; Xinjing Cheng; Qichuan Geng; Binbin Cao; Dingfu Zhou; Peng Wang 001; Yuanqing Lin; Ruigang Yang (CVPR Workshops, 2018)

Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network. - Xinjing Cheng; Peng Wang 001; Ruigang Yang (ECCV (16), 2018)

CrowdMove: Autonomous Mapless Navigation in Crowded Scenarios. - Tingxiang Fan; Xinjing Cheng; Jia Pan 001; Dinesh Manocha; Ruigang Yang (CoRR, 2018)

Part-level Car Parsing and Reconstruction from Single Street View. - Qichuan Geng; Feixiang Lu; Xinyu Huang 001; Sen Wang 003; Xinjing Cheng; Zhong Zhou; Ruigang Yang (CoRR, 2018)

Compact Reachability Map for Excavator Motion Planning. - Yajue Yang; Liangjun Zhang; Xinjing Cheng; Jia Pan 001; Ruigang Yang (IROS, 2019)

Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds. - Tingxiang Fan; Xinjing Cheng; Jia Pan 001; Pinxin Long; Wenxi Liu; Ruigang Yang; Dinesh Manocha (IEEE Robotics Autom. Lett., 2019)

CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion. - Xinjing Cheng; Peng Wang 001; Chenye Guan; Ruigang Yang (AAAI, 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)

Omnidirectional Depth Extension Networks. - Xinjing Cheng; Peng Wang 001; Yanqi Zhou; Chenye Guan; Ruigang Yang (ICRA, 2020)

ODE-CNN: Omnidirectional Depth Extension Networks. - Xinjing Cheng; Peng Wang 001; Yanqi Zhou; Chenye Guan; Ruigang Yang (CoRR, 2020)

Learning Depth with Convolutional Spatial Propagation Network. - Xinjing Cheng; Peng Wang 001; Ruigang Yang (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

The ApolloScape Open Dataset for Autonomous Driving and Its Application. - Xinyu Huang 001; Peng Wang 001; Xinjing Cheng; Dingfu Zhou; Qichuan Geng; Ruigang Yang (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition. - Shuang Li 008; Kaixiong Gong; Chi Harold Liu; Yulin Wang 002; Feng Qiao; Xinjing Cheng (CVPR, 2021)

Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation. - Shuang Li 008; Binhui Xie; Bin Zang; Chi Harold Liu; Xinjing Cheng; Ruigang Yang; Guoren Wang (CoRR, 2021)

Active Learning for Domain Adaptation: An Energy-Based Approach. - Binhui Xie; Longhui Yuan; Shuang Li 008; Chi Harold Liu; Xinjing Cheng; Guoren Wang (AAAI, 2022)

Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation. - Binhui Xie; Longhui Yuan; Shuang Li 008; Chi Harold Liu; Xinjing Cheng (CVPR, 2022)

VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions. - Mingjia Li 003; Binhui Xie; Shuang Li 008; Chi Harold Liu; Xinjing Cheng (AAAI, 2023)

Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation. - Binhui Xie; Shuang Li 008; Qingju Guo; Chi Harold Liu; Xinjing Cheng (NeurIPS, 2023)

ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow Prediction. - Dubing Chen; Jin Fang; Wencheng Han; Xinjing Cheng; Jun Yin 003; Chenzhong Xu; Fahad Shahbaz Khan; Jianbing Shen (CoRR, 2024)