Graduated master students:
- Saldanha, Nikhil, Thesis title: "Frequency learning for structured CNN filters"
- Dimitrov, Yordan, Thesis title: "Feasibility study on: Invariant Information Clustering for Unsupervised Image Segmentation"
- Ioannis Lelekas, Thesis title: "Top-Down Networks: A Coarse-to-Fine Reimagination of CNNs"
- Xiaoming Wen, Thesis title: "Learning Scale-Aware Optical Flow from Image Pair"
- Jian Zheng, Thesis title: "Hand-tremor Frequency Estimation in Videos"
- Omar Hommos, Thesis title: "Learning Phase-Based Descriptions for Action Recognition"
- Yue Liu, Thesis title: "Efficient Recurrent Residual Networks Improved by Feature Transfer"
- Xilin Li, Thesis title: "Hand-tremor frequency estimation in videos"
- Chengqiu Zhang, Thesis title: "Domain Adaptation Networks for Noisy Images Classification"
- Yichao Zhang, Thesis title: "Video Acceleration Magnification"
- Tobias Stahl, Thesis title: "Hierarchical object counting"
Lecturer for courses:
- MSc Computer Vision Course, TUDelft, 2018-2022
- BSc Image Processing Course, TUDelft, 2017-2022