Peter A. Youngs

According to our database, Peter A. Youngs authored at least 16 papers between 2020 and 2026.

Collaborative distances:

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

2026

RL-GTN: A reinforced divergence-optimized graph transformer network for skeleton-based action recognition.

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

Pattern Recognit., 2026

2025

Exploring Automated Recognition of Instructional Activity and Discourse from Multimodal Classroom Data.

Ivo Bueno, Ruikun Hou, Babette Bühler, Tim Fütterer, James Drimalla, Jonathan K. Foster, Peter A. Youngs, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci

CoRR, December, 2025

Causal State Space Model for Video Understanding.

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

IEEE Signal Process. Lett., 2025

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

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

Pattern Recognit., 2025

Semanticbox: Bounding Box-Guided Caption Enhanced Action Recognition for Instructional Videos.

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

Proceedings of the 2025 IEEE International Conference on Image Processing, ICIP 2025, 2025

FABLE: Florence-2-Assisted Behavioral Learning and Embedding for Multilabel Action Recognition.

Jonathan McGee, Soumee Guha, Lisa S. Berlizova, Peter A. Youngs, Scott T. Acton

Proceedings of the 59th Asilomar Conference on Signals, 2025

Multi-Modal Transformer Network for Classroom Instruction Analysis.

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

Proceedings of the 59th Asilomar Conference on Signals, 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