Haoxuan Qu

According to our database, Haoxuan Qu authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Off-the-shelf ChatGPT is a Good Few-shot Human Motion Predictor.

Haoxuan Qu, Zhaoyang He, Zeyu Hu, Yujun Cai, Jun Liu

CoRR, 2024

DisC-GS: Discontinuity-aware Gaussian Splatting.

Haoxuan Qu, Zhuoling Li, Hossein Rahmani, Yujun Cai, Jun Liu

CoRR, 2024

GPT-Connect: Interaction between Text-Driven Human Motion Generator and 3D Scenes in a Training-free Manner.

Haoxuan Qu, Ziyan Guo, Jun Liu

CoRR, 2024

Enhancing Human-Centered Dynamic Scene Understanding via Multiple LLMs Collaborated Reasoning.

Hang Zhang, Wenxiao Zhang, Haoxuan Qu, Jun Liu

CoRR, 2024

6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation.

Li Xu, Haoxuan Qu, Yujun Cai, Jun Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

LLMs are Good Action Recognizers.

Haoxuan Qu, Yujun Cai, Jun Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Towards More Reliable Confidence Estimation.

Haoxuan Qu, Lin Geng Foo, Yanchao Li, Jun Liu

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition.

Haoxuan Qu, Xiaofei Hui, Yujun Cai, Jun Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Characteristic Function-Based Method for Bottom-Up Human Pose Estimation.

Haoxuan Qu, Yujun Cai, Lin Geng Foo, Ajay Kumar, Jun Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Heatmap Distribution Matching for Human Pose Estimation.

Haoxuan Qu, Li Xu, Yujun Cai, Lin Geng Foo, Jun Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Meta Spatio-Temporal Debiasing for Video Scene Graph Generation.

Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

Improving the Reliability for Confidence Estimation.

Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Recent Advances of Continual Learning in Computer Vision: An Overview.

Haoxuan Qu, Hossein Rahmani, Li Xu, Bryan M. Williams, Jun Liu

CoRR, 2021