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20212024
most citedThe Importance of the Instantaneous Phase for classification using Convolutional Neural Networks

5 citations · 6 across the 7 of their papers we have counts for

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cs.CV2024

Long-term Human Participation Assessment In Collaborative Learning Environments Using Dynamic Scene Analysis

Wenjing Shi, Phuong Tran, Sylvia Celedón-Pattichis +1

The paper develops datasets and methods to assess student participation in real-life collaborative learning environments. In collaborative learning environments, students are organ…

cs.CV2024

Fast Low-parameter Video Activity Localization in Collaborative Learning Environments

Venkatesh Jatla, Sravani Teeparthi, Ugesh Egala +2

Research on video activity detection has primarily focused on identifying well-defined human activities in short video segments. The majority of the research on video activity reco…

cs.CV2021

Facial Recognition in Collaborative Learning Videos

Phuong Tran, Marios Pattichis, Sylvia Celedón-Pattichis +1

Face recognition in collaborative learning videos presents many challenges. In collaborative learning videos, students sit around a typical table at different positions to the reco…

cs.CV2021

Talking Detection In Collaborative Learning Environments

Wenjing Shi, Marios S. Pattichis, Sylvia Celedón-Pattichis +1

We study the problem of detecting talking activities in collaborative learning videos. Our approach uses head detection and projections of the log-magnitude of optical flow vectors…

cs.CV2021

Fast Hand Detection in Collaborative Learning Environments

Sravani Teeparthi, Venkatesh Jatla, Marios S. Pattichis +2

Long-term object detection requires the integration of frame-based results over several seconds. For non-deformable objects, long-term detection is often addressed using object det…