Xinjing Cheng

Orcid: 0000-0003-2927-4243

According to our database1, Xinjing Cheng authored at least 18 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Active Learning for Domain Adaptation: An Energy-Based Approach.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation.
CoRR, 2021

MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
The ApolloScape Open Dataset for Autonomous Driving and Its Application.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Learning Depth with Convolutional Spatial Propagation Network.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

ODE-CNN: Omnidirectional Depth Extension Networks.
CoRR, 2020

Omnidirectional Depth Extension Networks.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

AutoTrajectory: Label-Free Trajectory Extraction and Prediction from Videos Using Dynamic Points.
Proceedings of the Computer Vision - ECCV 2020, 2020

CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds.
IEEE Robotics Autom. Lett., 2019

Compact Reachability Map for Excavator Motion Planning.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
Part-level Car Parsing and Reconstruction from Single Street View.
CoRR, 2018

CrowdMove: Autonomous Mapless Navigation in Crowded Scenarios.
CoRR, 2018

Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network.
Proceedings of the Computer Vision - ECCV 2018, 2018

The ApolloScape Dataset for Autonomous Driving.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018


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