41 citations · 59 across the 27 of their papers we have counts for
6 papers · 1 filter
Off-the-shelf ChatGPT is a Good Few-shot Human Motion Predictor
Haoxuan Qu, Zhaoyang He, Zeyu Hu +2
To facilitate the application of motion prediction in practice, recently, the few-shot motion prediction task has attracted increasing research attention. Yet, in existing few-shot…
DisC-GS: Discontinuity-aware Gaussian Splatting
Haoxuan Qu, Zhuoling Li, Hossein Rahmani +2
Recently, Gaussian Splatting, a method that represents a 3D scene as a collection of Gaussian distributions, has gained significant attention in addressing the task of novel view s…
LLMs are Good Action Recognizers
Haoxuan Qu, Yujun Cai, Jun Liu
Skeleton-based action recognition has attracted lots of research attention. Recently, to build an accurate skeleton-based action recognizer, a variety of works have been proposed.…
GPT-Connect: Interaction between Text-Driven Human Motion Generator and 3D Scenes in a Training-free Manner
Haoxuan Qu, Ziyan Guo, Jun Liu
Recently, while text-driven human motion generation has received massive research attention, most existing text-driven motion generators are generally only designed to generate mot…
Enhancing Human-Centered Dynamic Scene Understanding via Multiple LLMs Collaborated Reasoning
Hang Zhang, Wenxiao Zhang, Haoxuan Qu +1
Human-centered dynamic scene understanding plays a pivotal role in enhancing the capability of robotic and autonomous systems, in which Video-based Human-Object Interaction (V-HOI)…
6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation
Li Xu, Haoxuan Qu, Yujun Cai +1
Estimating the 6D object pose from a single RGB image often involves noise and indeterminacy due to challenges such as occlusions and cluttered backgrounds. Meanwhile, diffusion mo…