8 citations · 9 across the 16 of their papers we have counts for
3 papers · 2 filters
ACE: Action Concept Enhancement of Video-Language Models in Procedural Videos
Reza Ghoddoosian, Nakul Agarwal, Isht Dwivedi +1
Vision-language models (VLMs) are capable of recognizing unseen actions. However, existing VLMs lack intrinsic understanding of procedural action concepts. Hence, they overfit to f…
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…
Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models
Himangi Mittal, Nakul Agarwal, Shao-Yuan Lo +1
We introduce PlausiVL, a large video-language model for anticipating action sequences that are plausible in the real-world. While significant efforts have been made towards anticip…