1 citations · 1 across the 8 of their papers we have counts for
9 papers
ESTANet: Efficient Online Error Detection in Procedural Videos via Prediction Inconsistency
Shih-Po Lee, Reza Ghoddoosian, Faizan Siddiqui +2
An efficient and accurate system for detecting errors in procedural tasks is crucial for supporting human needs in daily life, as it can provide instant notifications and guide peo…
MERGE: Guided Vision-Language Models for Multi-Actor Event Reasoning and Grounding in Human-Robot Interaction
Joerg Deigmoeller, Nakul Agarwal, Stephan Hasler +8
We introduce MERGE, a system for situational grounding of actors, objects, and events in dynamic human-robot group interactions. Effective collaboration in such settings requires c…
CARMA: Context-Aware Situational Grounding of Human-Robot Group Interactions by Combining Vision-Language Models with Object and Action Recognition
Joerg Deigmoeller, Stephan Hasler, Nakul Agarwal +8
We introduce CARMA, a system for situational grounding in human-robot group interactions. Effective collaboration in such group settings requires situational awareness based on a c…
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…
Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos
Reza Ghoddoosian, Isht Dwivedi, Nakul Agarwal +2
This paper addresses a new problem of weakly-supervised online action segmentation in instructional videos. We present a framework to segment streaming videos online at test time u…
Hierarchical Modeling for Task Recognition and Action Segmentation in Weakly-Labeled Instructional Videos
Reza Ghoddoosian, Saif Sayed, Vassilis Athitsos
This paper focuses on task recognition and action segmentation in weakly-labeled instructional videos, where only the ordered sequence of video-level actions is available during tr…
Action Duration Prediction for Segment-Level Alignment of Weakly-Labeled Videos
Reza Ghoddoosian, Saif Sayed, Vassilis Athitsos
This paper focuses on weakly-supervised action alignment, where only the ordered sequence of video-level actions is available for training. We propose a novel Duration Network, whi…
A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection
Reza Ghoddoosian, Marnim Galib, Vassilis Athitsos
Drowsiness can put lives of many drivers and workers in danger. It is important to design practical and easy-to-deploy real-world systems to detect the onset of drowsiness.In this…