Peter A. Youngs

According to our database, Peter A. Youngs authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

A dynamic predictive transformer with temporal relevance regression for action detection.

Matthew Korban, Peter A. Youngs, Scott T. Acton

Pattern Recognit., 2025

2024

A Semantic and Motion-Aware Spatiotemporal Transformer Network for Action Detection.

Matthew Korban, Peter A. Youngs, Scott T. Acton

IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

Automatic classification of activities in classroom videos.

Jonathan K. Foster, Matthew Korban, Peter A. Youngs, Ginger S. Watson, Scott T. Acton

Comput. Educ. Artif. Intell., 2024

Instructional Activity Recognition Using A Transformer Network with Multi-Semantic Attention.

Matthew Korban, Scott T. Acton, Peter A. Youngs, Jonathan K. Foster

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2024

Student Engagement Assessment in Classrooms Using a Novel 3D Eye-Gaze Estimation and Evaluation Algorithm.

Matthew Korban, Jonathan McGee, Peter A. Youngs, Scott T. Acton

Proceedings of the 58th Asilomar Conference on Signals, 2024

2023

A Multi-Modal Transformer network for action detection.

Matthew Korban, Peter A. Youngs, Scott T. Acton

Pattern Recognit., October, 2023

TAA-GCN: A temporally aware Adaptive Graph Convolutional Network for age estimation.

Matthew Korban, Peter A. Youngs, Scott T. Acton

Pattern Recognit., 2023

Instructional Activity Detection Using Deep Neural Networks.

Matthew Korban, Peter A. Youngs, Scott T. Acton

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

2021

AI-Assisted Activity Detection in K-6 Classroom Environments: A Preliminary Framework to Assist in Pedagogical Performance Evaluation.

Matthew Korban, Samarth Singh, Peter A. Youngs, Ginger S. Watson, Scott T. Acton

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

A Neural Network Approach to Automated Classification of Elementary Mathematics Instructional Activities.

Samarth Singh, Ginger S. Watson, Peter A. Youngs, Scott T. Acton

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2020