Xu Zheng

Orcid: 0000-0003-4008-8951

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2022
2023
2024
2025
0
5
10
15
2
7
2
2
6
3

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
360SFUDA++: Towards Source-Free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2025

Distilling efficient Vision Transformers from CNNs for semantic segmentation.
Pattern Recognit., 2025

2024
EIT-1M: One Million EEG-Image-Text Pairs for Human Visual-textual Recognition and More.
CoRR, 2024

OmniBind: Teach to Build Unequal-Scale Modality Interaction for Omni-Bind of All.
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

UniBind: LLM-Augmented Unified and Balanced Representation Space to Bind Them All.
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

Centering the Value of Every Modality: Towards Efficient and Resilient Modality-Agnostic Semantic Segmentation.
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
E-CLIP: Towards Label-efficient Event-based Open-world Understanding by CLIP.
CoRR, 2023

Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks.
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


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