Guiding & teaching | Silvia-Laura Pintea

Meeting scheduling via: https://calendly.com/silvia-laura-pintea

Copromotor PhD students:

Dr. Xin Liu, Thesis title: "Efficiency in Deep Learning: Image and Video Deep Model Efficiency"

Dr. Yancong Lin, Thesis title: "Data-efficient learning of geometric structures from single-view images"

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)

Talks:

Farewell talk at LKEB: The ideal lab

Lecturer for courses:

BSc Image Processing Course, TUDelft (2017-2022) Course manager (2020-2022)
MSc Computer Vision Course, TUDelft (2018-2022)