1 citations · 1 across the 5 of their papers we have counts for
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M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models
Seunggeun Chi, Hyung-gun Chi, Hengbo Ma +4
We introduce the Multi-Motion Discrete Diffusion Models (M2D2M), a novel approach for human motion generation from textual descriptions of multiple actions, utilizing the strengths…
InfoGCN++: Learning Representation by Predicting the Future for Online Human Skeleton-based Action Recognition
Seunggeun Chi, Hyung-gun Chi, Qixing Huang +1
Skeleton-based action recognition has made significant advancements recently, with models like InfoGCN showcasing remarkable accuracy. However, these models exhibit a key limitatio…
Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction
Yi Xu, Armin Bazarjani, Hyung-gun Chi +2
Trajectory prediction is a crucial undertaking in understanding entity movement or human behavior from observed sequences. However, current methods often assume that the observed s…
Egocentric View Hand Action Recognition by Leveraging Hand Surface and Hand Grasp Type
Sangpil Kim, Jihyun Bae, Hyunggun Chi +3
We introduce a multi-stage framework that uses mean curvature on a hand surface and focuses on learning interaction between hand and object by analyzing hand grasp type for hand ac…