Biography
My research goal: development of intelligent systems with the focus on cognitively motivated geometric processing of spatial information obtained from visual input (e.g., cameras and Kinect like sensors)
Courses Taught
Number | Name | Level |
|---|---|---|
CIS 2166 | Mathematical Concepts in Computing II | Undergraduate |
CIS 5543 | Computer Vision | Graduate |
Selected Publications
Recent
Wu, X., Zhang, S., Zhou, Q., Yang, Z., Zhao, C., & Latecki, L.J. (2023). Entropy Minimization Versus Diversity Maximization for Domain Adaptation. IEEE Trans Neural Netw Learn Syst, 34(6), 2896-2907. United States. 10.1109/TNNLS.2021.3110109
Pedronette, D. & Latecki, L. (2021). Rank-based self-training for graph convolutional networks. Information Processing and Management, 58(2). doi: 10.1016/j.ipm.2020.102443.
Abouelaziz, I., Chetouani, A., Hassouni, M., Cherifi, H., & Latecki, L. (2021). Learning Graph Convolutional Network for Blind Mesh Visual Quality Assessment. IEEE Access, 9, 108200-108211. doi: 10.1109/ACCESS.2021.3094663.