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most citedLLMs are Good Action Recognizers

2 citations · 3 across the 20 of their papers we have counts for

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cs.CV2024

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…

cs.CV2024

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…

cs.CV2024★ 2 cited

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.…

cs.CV2024

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…

cs.CV2024★ 1 cited

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)…