Chaolei Tan

Orcid: 0009-0005-2864-0696

According to our database1, Chaolei Tan authored at least 13 papers between 2021 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2025
HLFormer: Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning.
CoRR, July, 2025

Long-RVOS: A Comprehensive Benchmark for Long-term Referring Video Object Segmentation.
CoRR, May, 2025

ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations.
CoRR, January, 2025

SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
SynopGround: A Large-Scale Dataset for Multi-Paragraph Video Grounding from TV Dramas and Synopses.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Siamese Learning with Joint Alignment and Regression for Weakly-Supervised Video Paragraph Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Hierarchical Semantic Correspondence Networks for Video Paragraph Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Collaborative Static and Dynamic Vision-Language Streams for Spatio-Temporal Video Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
STVGFormer: Spatio-Temporal Video Grounding with Static-Dynamic Cross-Modal Understanding.
CoRR, 2022

Context Alignment Network for Video Moment Retrieval.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Matching and Localizing: A Simple yet Effective Framework for Human-Centric Spatio-Temporal Video Grounding.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
Augmented 2D-TAN: A Two-stage Approach for Human-centric Spatio-Temporal Video Grounding.
CoRR, 2021


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