Xu Zheng
Orcid: 0000-0003-4008-8951Affiliations:
- AI Thrust, Hong Kong University of Science and Technology (HKUST), Guangzhou, China
According to our database1,
Xu Zheng
authored at least 22 papers
between 2022 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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on orcid.org
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Bibliography
2025
Pattern Recognit., 2025
2024
Centering the Value of Every Modality: Towards Efficient and Resilient Modality-agnostic Semantic Segmentation.
CoRR, 2024
EIT-1M: One Million EEG-Image-Text Pairs for Human Visual-textual Recognition and More.
CoRR, 2024
CoRR, 2024
360SFUDA++: Towards Source-free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes.
CoRR, 2024
GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation.
CoRR, 2024
EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition.
CoRR, 2024
ExACT: Language-guided Conceptual Reasoning and Uncertainty Estimation for Event-based Action Recognition and More.
CoRR, 2024
CoRR, 2024
Image Anything: Towards Reasoning-coherent and Training-free Multi-modal Image Generation.
CoRR, 2024
Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
EventBind: Learning a Unified Representation to Bind Them All for Event-Based Open-World Understanding.
Proceedings of the Computer Vision - ECCV 2024, 2024
Learning Modality-Agnostic Representation for Semantic Segmentation from Any Modalities.
Proceedings of the Computer Vision - ECCV 2024, 2024
Semantics, Distortion, and Style Matter: Towards Source-Free UDA for Panoramic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
CoRR, 2023
CoRR, 2023
A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students.
CoRR, 2022
All One Needs to Know about Priors for Deep Image Restoration and Enhancement: A Survey.
CoRR, 2022