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20192026
most citedWeakly-Supervised Online Action Segmentation in Multi-View Instructional Videos

1 citations · 1 across the 8 of their papers we have counts for

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cs.CV2026

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…

cs.CV2025

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…

cs.CV2024

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…

cs.CV2022★ 1 cited

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…

cs.CV2021

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…

cs.CV2020

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…

cs.CV2019

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…