activity
20192023
most citedRecognizing American Sign Language Manual Signs from RGB-D Videos

19 citations · 21 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2023

ADM-Loc: Actionness Distribution Modeling for Point-supervised Temporal Action Localization

Elahe Vahdani, Yingli Tian

This paper addresses the challenge of point-supervised temporal action detection, in which only one frame per action instance is annotated in the training set. Self-training aims t…

cs.CV2021

Deep Learning-based Action Detection in Untrimmed Videos: A Survey

Elahe Vahdani, Yingli Tian

Understanding human behavior and activity facilitates advancement of numerous real-world applications, and is critical for video analysis. Despite the progress of action recognitio…

cs.CV20202 cited

Cross-modal Center Loss

Longlong Jing, Elahe Vahdani, Jiaxing Tan +1

Cross-modal retrieval aims to learn discriminative and modal-invariant features for data from different modalities. Unlike the existing methods which usually learn from the feature…

cs.CV2020

Recognizing American Sign Language Nonmanual Signal Grammar Errors in Continuous Videos

Elahe Vahdani, Longlong Jing, Yingli Tian +1

As part of the development of an educational tool that can help students achieve fluency in American Sign Language (ASL) through independent and interactive practice with immediate…

cs.CV201919 cited

Recognizing American Sign Language Manual Signs from RGB-D Videos

Longlong Jing, Elahe Vahdani, Matt Huenerfauth +1

In this paper, we propose a 3D Convolutional Neural Network (3DCNN) based multi-stream framework to recognize American Sign Language (ASL) manual signs (consisting of movements of…