3 papers
cs.CV2026
MixiMotion: One-Step Text-to-Motion Generation via Asymmetric Set Distillation
Hung Dinh, Binh Mai, Tran Quoc Bao Le +2
Iterative text-to-motion generation delivers high-quality and semantically aligned motions but requires multiple network evaluations, resulting in substantial inference latency. We…
cs.LG2026
Cache: Accelerating World Action Models with Cross Inference Chunk Cache
Weisen Zhao, Lam Nguyen, Zhicong Lu +1
World Action Models (WAMs) generalize better than standard Vision-Language-Action (VLA) policies to novel motions and environments, because a video-modeling objective lets them lea…
cs.CV2023
Count What You Want: Exemplar Identification and Few-shot Counting of Human Actions in the Wild
Yifeng Huang, Duc Duy Nguyen, Lam Nguyen +2
This paper addresses the task of counting human actions of interest using sensor data from wearable devices. We propose a novel exemplar-based framework, allowing users to provide…