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2020 – today
- 2023
[c11]Mingjia Li, Binhui Xie, Shuang Li, Chi Harold Liu, Xinjing Cheng:
VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions. AAAI 2023: 8605-8613- [c10]Binhui Xie, Shuang Li, Qingju Guo, Chi Harold Liu, Xinjing Cheng:
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation. NeurIPS 2023 - [i15]Binhui Xie, Shuang Li, Qingju Guo, Chi Harold Liu, Xinjing Cheng:
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation. CoRR abs/2310.20293 (2023) - 2022
- [c9]Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng, Guoren Wang:
Active Learning for Domain Adaptation: An Energy-Based Approach. AAAI 2022: 8708-8716 - [c8]Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng:
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation. CVPR 2022: 8058-8068 - [i14]Mingjia Li, Binhui Xie, Shuang Li, Chi Harold Liu, Xinjing Cheng:
VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions. CoRR abs/2211.12256 (2022) - 2021
- [c7]Shuang Li, Kaixiong Gong
, Chi Harold Liu, Yulin Wang, Feng Qiao, Xinjing Cheng:
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition. CVPR 2021: 5212-5221 - [i13]Shuang Li, Kaixiong Gong, Chi Harold Liu, Yulin Wang, Feng Qiao, Xinjing Cheng:
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition. CoRR abs/2103.12579 (2021) - [i12]Shuang Li, Binhui Xie, Bin Zang, Chi Harold Liu, Xinjing Cheng, Ruigang Yang, Guoren Wang:
Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation. CoRR abs/2105.05013 (2021) - [i11]Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng:
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation. CoRR abs/2111.12940 (2021) - [i10]Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng, Guoren Wang:
Active Learning for Domain Adaptation: An Energy-based Approach. CoRR abs/2112.01406 (2021) - 2020
- [j3]Xinjing Cheng, Peng Wang, Ruigang Yang:
Learning Depth with Convolutional Spatial Propagation Network. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2361-2379 (2020) - [j2]Xinyu Huang, Peng Wang, Xinjing Cheng, Dingfu Zhou, Qichuan Geng, Ruigang Yang:
The ApolloScape Open Dataset for Autonomous Driving and Its Application. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2702-2719 (2020) - [c6]Xinjing Cheng, Peng Wang, Chenye Guan, Ruigang Yang:
CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion. AAAI 2020: 10615-10622 - [c5]Yuexin Ma, Xinge Zhu, Xinjing Cheng, Ruigang Yang, Jiming Liu, Dinesh Manocha:
AutoTrajectory: Label-Free Trajectory Extraction and Prediction from Videos Using Dynamic Points. ECCV (13) 2020: 646-662 - [c4]Xinjing Cheng, Peng Wang, Yanqi Zhou, Chenye Guan, Ruigang Yang:
Omnidirectional Depth Extension Networks. ICRA 2020: 589-595 - [i9]Xinjing Cheng, Peng Wang, Yanqi Zhou, Chenye Guan, Ruigang Yang:
ODE-CNN: Omnidirectional Depth Extension Networks. CoRR abs/2007.01475 (2020) - [i8]Yuexin Ma, Xinge Zhu, Xinjing Cheng, Ruigang Yang, Jiming Liu, Dinesh Manocha:
AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points. CoRR abs/2007.05719 (2020)
2010 – 2019
- 2019
- [j1]Tingxiang Fan, Xinjing Cheng, Jia Pan, Pinxin Long, Wenxi Liu, Ruigang Yang, Dinesh Manocha:
Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds. IEEE Robotics Autom. Lett. 4(2): 1178-1185 (2019) - [c3]Yajue Yang, Liangjun Zhang, Xinjing Cheng, Jia Pan, Ruigang Yang:
Compact Reachability Map for Excavator Motion Planning. IROS 2019: 2308-2313 - [i7]Xinjing Cheng, Peng Wang, Chenye Guan, Ruigang Yang:
CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion. CoRR abs/1911.05377 (2019) - 2018
- [c2]Xinyu Huang, Xinjing Cheng, Qichuan Geng, Binbin Cao, Dingfu Zhou, Peng Wang, Yuanqing Lin, Ruigang Yang:
The ApolloScape Dataset for Autonomous Driving. CVPR Workshops 2018: 954-960 - [c1]Xinjing Cheng, Peng Wang, Ruigang Yang:
Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network. ECCV (16) 2018: 108-125 - [i6]Xinyu Huang, Xinjing Cheng, Qichuan Geng, Binbin Cao, Dingfu Zhou, Peng Wang, Yuanqing Lin, Ruigang Yang:
The ApolloScape Dataset for Autonomous Driving. CoRR abs/1803.06184 (2018) - [i5]Tingxiang Fan, Xinjing Cheng, Jia Pan, Dinesh Manocha, Ruigang Yang:
CrowdMove: Autonomous Mapless Navigation in Crowded Scenarios. CoRR abs/1807.07870 (2018) - [i4]Xinjing Cheng, Peng Wang, Ruigang Yang:
Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network. CoRR abs/1808.00150 (2018) - [i3]Tingxiang Fan, Xinjing Cheng, Jia Pan, Pinxin Long, Wenxi Liu, Ruigang Yang, Dinesh Manocha:
Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds. CoRR abs/1810.00352 (2018) - [i2]Xinjing Cheng, Peng Wang, Ruigang Yang:
Learning Depth with Convolutional Spatial Propagation Network. CoRR abs/1810.02695 (2018) - [i1]Qichuan Geng, Feixiang Lu, Xinyu Huang, Sen Wang, Xinjing Cheng, Zhong Zhou, Ruigang Yang:
Part-level Car Parsing and Reconstruction from Single Street View. CoRR abs/1811.10837 (2018)
Coauthor Index
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last updated on 2024-10-07 21:13 CEST by the dblp team
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