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 |
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.
Abouelaziz, I., Chetouani, A., Hassouni, M.E., Latecki, L., & Cherifi, H. (2020). 3D visual saliency and convolutional neural network for blind mesh quality assessment. Neural Computing and Applications, 32(21), 16589-16603. doi: 10.1007/s00521-019-04521-1.
Zhou, Q., Wang, Y., Fan, Y., Wu, X., Zhang, S., Kang, B., & Latecki, L. (2020). AGLNet: Towards real-time semantic segmentation of self-driving images via attention-guided lightweight network. Applied Soft Computing Journal, 96. doi: 10.1016/j.asoc.2020.106682.
Zhou, Q., Cheng, J., Lu, H., Fan, Y., Zhang, S., Wu, X., Zheng, B., Ou, W., & Latecki, L. (2020). Learning adaptive contrast combinations for visual saliency detection. Multimedia Tools and Applications, 79(21-22), 14419-14447. doi: 10.1007/s11042-018-6770-2.
Abouelaziz, I., Chetouani, A., Hassouni, M.E., Latecki, L., & Cherifi, H. (2020). No-reference mesh visual quality assessment via ensemble of convolutional neural networks and compact multi-linear pooling. Pattern Recognition, 100. doi: 10.1016/j.patcog.2019.107174.