23 citations · 70 across the 19 of their papers we have counts for
6 papers · 1 filter
ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model
Shunlin Lu, Jingbo Wang, Zeyu Lu +6
The scaling law has been validated in various domains, such as natural language processing (NLP) and massive computer vision tasks; however, its application to motion generation re…
KptLLM: Unveiling the Power of Large Language Model for Keypoint Comprehension
Jie Yang, Wang Zeng, Sheng Jin +4
Recent advancements in Multimodal Large Language Models (MLLMs) have greatly improved their abilities in image understanding. However, these models often struggle with grasping pix…
F-HOI: Toward Fine-grained Semantic-Aligned 3D Human-Object Interactions
Jie Yang, Xuesong Niu, Nan Jiang +2
Existing 3D human object interaction (HOI) datasets and models simply align global descriptions with the long HOI sequence, while lacking a detailed understanding of intermediate s…
Open-World Human-Object Interaction Detection via Multi-modal Prompts
Jie Yang, Bingliang Li, Ailing Zeng +2
In this paper, we develop \textbf{MP-HOI}, a powerful Multi-modal Prompt-based HOI detector designed to leverage both textual descriptions for open-set generalization and visual ex…
MotionLLM: Understanding Human Behaviors from Human Motions and Videos
Ling-Hao Chen, Shunlin Lu, Ailing Zeng +4
This study delves into the realm of multi-modality (i.e., video and motion modalities) human behavior understanding by leveraging the powerful capabilities of Large Language Models…
Toward Accurate Camera-based 3D Object Detection via Cascade Depth Estimation and Calibration
Chaoqun Wang, Yiran Qin, Zijian Kang +2
Recent camera-based 3D object detection is limited by the precision of transforming from image to 3D feature spaces, as well as the accuracy of object localization within the 3D sp…