Postdoctoral Research Topic: Activity Recognition in Classrooms Using Deep Learning
Professional Membership:
IEEE Senior member - the highest grade membership in the fields of Electrical Engineering, Computer Engineering and Computer Science: https://www.ieee.org/membership/senior/
Phi Kappa Phi - the most selective academic honor society.
Selected Recent Publications:
Korban, Matthew, Peter Youngs, and Scott T. Acton. "TAA-GCN: A temporally aware Adaptive Graph Convolutional Network for age estimation." Pattern Recognition 134 (2023): 109066.
Korban, Matthew, Peter Youngs, and Scott T. Acton. "A Multi-Modal Transformer network for action detection." Pattern Recognition 142 (2023): 109713.
Korban, Matthew, and Xin Li. "Semantics-enhanced early action detection using dynamic dilated convolution." Pattern Recognition 140 (2023): 109595.
Korban, Matthew, and Xin Li. "Ddgcn: A dynamic directed graph convolutional network for action recognition." In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XX 16, pp. 761-776. Springer International Publishing, 2020.