4 citations · 4 across the 3 of their papers we have counts for
4 papers · 1 filter
Multi-Modality Co-Learning for Efficient Skeleton-based Action Recognition
Jinfu Liu, Chen Chen, Mengyuan Liu
Skeleton-based action recognition has garnered significant attention due to the utilization of concise and resilient skeletons. Nevertheless, the absence of detailed body informati…
ClickDiff: Click to Induce Semantic Contact Map for Controllable Grasp Generation with Diffusion Models
Peiming Li, Ziyi Wang, Mengyuan Liu +2
Grasp generation aims to create complex hand-object interactions with a specified object. While traditional approaches for hand generation have primarily focused on visibility and…
SATO: Stable Text-to-Motion Framework
Wenshuo Chen, Hongru Xiao, Erhang Zhang +4
Is the Text to Motion model robust? Recent advancements in Text to Motion models primarily stem from more accurate predictions of specific actions. However, the text modality typic…
MLP: Motion Label Prior for Temporal Sentence Localization in Untrimmed 3D Human Motions
Sheng Yan, Mengyuan Liu, Yong Wang +3
In this paper, we address the unexplored question of temporal sentence localization in human motions (TSLM), aiming to locate a target moment from a 3D human motion that semantical…