Qiuhong Ke (柯秋红)

Action Recognition

1. 

   DynaPURLS: Dynamic Refinement of Part-aware Representations for Skeleton-based Zero-Shot Action Recognition

   Jingmin Zhu, Anqi Zhu, James Bailey, Jun Liu, Hossein Rahmani, Mohammed Bennamoun, Farid Boussaid, and Qiuhong Ke

   Arxiv 2025| arXiv preprint

   Code

2. 

   TSkel-Mamba: Temporal Dynamic Modeling via State Space Model for Human Skeleton-based Action Recognition

   Yanan Liu, Jun Liu, Hao Zhang, Dan Xu, Hossein Rahmani, Mohammed Bennamoun, and Qiuhong Ke

   Arxiv 2025| arXiv preprint

   PDF Code

3. 

   Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation

   Jingmin Zhu, Anqi Zhu, Hossein Rahmani, Jun Liu, Mohammed Bennamoun, and Qiuhong Ke

   NeurIPS 2025| Advances in Neural Information Processing SystemsCCF-ACORE-A*

   PDF Code

4. 

   Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition

   Anqi Zhu, Jingmin Zhu, James Bailey, Mingming Gong, and Qiuhong Ke

   CVPR 2025| Proceedings of the Computer Vision and Pattern Recognition ConferenceCCF-ACORE-A*

   PDF

5. 

   Part-aware unified representation of language and skeleton for zero-shot action recognition

   Anqi Zhu, Qiuhong Ke, Mingming Gong, and James Bailey

   CVPR 2024| Conference on Computer Vision and Pattern RecognitionCCF-ACORE-A*

   PDF Code

6. 

   Human action recognition from various data modalities: A review

   Zehua Sun, Qiuhong Ke, Hossein Rahmani, Mohammed Bennamoun, Gang Wang, and Jun Liu

   TPAMI 2022| IEEE Transactions on Pattern Analysis and Machine IntelligenceCCF-ACORE-A*

   PDF

Video Understanding

1. 

   Watch and Listen: Understanding Audio-Visual-Speech Moments with Multimodal LLM

   Zinuo Li, Xian Zhang, Yongxin Guo, Mohammed Bennamoun, Farid Boussaid, Girish Dwivedi, Luqi Gong, and Qiuhong Ke

   NeurIPS 2025| Advances in Neural Information Processing SystemsCCF-ACORE-A*

   PDF Code

2. 

   Sports-qa: A large-scale video question answering benchmark for complex and professional sports

   Haopeng Li, Andong Deng, Jun Liu, Hossein Rahmani, Yulan Guo, Bernt Schiele, Chen Chen, and Qiuhong Ke

   arXiv 2024| arXiv preprint

   PDF Code

3. 

   Progressive video summarization via multimodal self-supervised learning

   Haopeng Li, Qiuhong Ke, Mingming Gong, and Tom Drummond

   WACV 2023| IEEE/CVF Winter Conference on Applications of Ccomputer VisionCCF-BCORE-A

   PDF Code

4. 

   Video joint modelling based on hierarchical transformer for co-summarization

   Haopeng Li, Qiuhong Ke, Mingming Gong, and Rui Zhang

   TPAMI 2022| IEEE Transactions on Pattern Analysis and Machine IntelligenceCCF-ACORE-A*

   PDF Code

Generation

1. 

   LongDiff: Training-Free Long Video Generation in One Go

   Zhuoling Li, Hossein Rahmani, Qiuhong Ke, and Jun Liu

   CVPR 2025| Conference on Computer Vision and Pattern RecognitionCCF-ACORE-A*

   PDF Code

2. 

   Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis

   Hongyu Sun, Qiuhong Ke, Ming Cheng, Yongcai Wang, Deying Li, Chenhui Gou, and Jianfei Cai

   CVPR 2025| Conference on Computer Vision and Pattern RecognitionCCF-ACORE-A*

   PDF Code

3. 

   ST-GDance: Long-Term and Collision-Free Group Choreography from Music

   Jing Xu, Weiqiang Wang, Cunjian Chen, Jun Liu, and Qiuhong Ke

   BMVC 2025| British Machine Vision ConferenceCCF-CCORE-A

   Oral Presentation

   PDF Code

4. 

   Point-PRC: A prompt learning based regulation framework for generalizable point cloud analysis

   Hongyu Sun, Qiuhong Ke, Yongcai Wang, Wang Chen, Kang Yang, Deying Li, and Jianfei Cai

   NeurIPS 2024| Advances in Neural Information Processing SystemsCCF-ACORE-A*

   PDF Code