1 citations · 1 across the 13 of their papers we have counts for
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SAGE: Synchronized Action-Gaze Recognition and Anticipation for Human Behavior Understanding
Chenyi Kuang, Nakul Agarwal
Human object interaction (HOI), gaze pattern, and their anticipation are intricately linked, providing valuable insights into cognitive processes, intentions, and behavior. However…
Towards Driver Behavior Understanding: Weakly-Supervised Risk Perception in Driving Scenes
Nakul Agarwal, Yi-Ting Chen, Behzad Dariush
Achieving zero-collision mobility remains a key objective for intelligent vehicle systems, which requires understanding driver risk perception-a complex cognitive process shaped by…
Pose-Aware Weakly-Supervised Action Segmentation
Seth Z. Zhao, Reza Ghoddoosian, Isht Dwivedi +2
Understanding human behavior is an important problem in the pursuit of visual intelligence. A challenge in this endeavor is the extensive and costly effort required to accurately l…
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…