Meeting scheduling via:
https://calendly.com/silvia-laura-pintea
Graduated master students:
- Douwe Hoonhout, Thesis title: "Segmenting actions by aligning video frames to learned prototypes"
- Frans de Boer, Thesis title: "Is there progress in activity progress prediction?" (ICCVw, 2023)
- Jimmy Vlekke, Thesis title: "Analyzing visual biases in coral imagery for bleaching detection"
- Bao, Ziyu, Thesis title: "Classifying Continuous Labels: A Simple Tweak to Make Regression Robust"
- Saldanha, Nikhil, Thesis title: "Frequency learning for structured CNN filters" (BMVC, 2021)
- 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" (CVPRw, 2020)
- Xiaoming Wen, Thesis title: "Learning Scale-Aware Optical Flow from Image Pair"
- Jian Zheng, Thesis title: "Hand-tremor Frequency Estimation in Videos" (ECCVw, 2018)
- Omar Hommos, Thesis title: "Learning Phase-Based Descriptions for Action Recognition" (ECCVw, 2018)
- Yue Liu, Thesis title: "Efficient Recurrent Residual Networks Improved by Feature Transfer" (ICIP, 2018)
- 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" (CVPR, 2017)
- Tobias Stahl, Thesis title: "Hierarchical object counting" (TIP, 2018)
Lecturer for courses:
- BSc Image Processing Course, TUDelft (2017-2022)
- Course manager (2020-2022)
- MSc Computer Vision Course, TUDelft (2018-2022)