ETH Zurich - D-INFK - IVC - CVG - Lectures - PhD Seminar in VC

PhD Seminar in VC

Course Topics and Objectives

In this doctoral seminar, current research at the Institute for Visual Computing will be presented and discussed. The goal is to learn about current research projects at our institute, to strengthen our expertise in the field, to provide a platform where research challenges can be discussed, and also to practice scientific presentations.

Course Setup

The seminar takes place in the spring and autumn semester.


This course requires solid knowledge in the area of Computer Graphics and Computer Vision as well as state-of-the-art research.

Performance assessment

Ungraded semester performance. Presence is mandatory (75% of the seminar talks, i.e., 9 out of 12) to pass the seminar. Presence is formally controlled. Every participant has to present his/her research once a year.


Number 264-5800-17L
Organizers M. Gross, M. Pollefeys, O. Sorkine-Hornung, S. Tang
Coordinator Daniel Barath
Location Online, Fridays 12:15-13:00
ECTS Credits 1


Date Name Topic
26/02 Dr. Daniel Barath Introductory Talk
05/02 Chen Xiaoran, Choutas Vasileios Reconstructing expressive 3D humans from RGB images (Choutas Vasileios)
Unsupervised Anomaly Detection on MRI Brain Images with VAE (Chen Xiaoran)
12/03 ICCV deadline
19/03 Dr. Iro Armeni Understanding 3D Visual Data for Architecture, Engineering, and Construction
26/03 Dr. Daniel Barath Robust model fitting
02/04 Easter
09/04 Anton Obukhov, Aurel Amadeo Gruber
16/04 Dr. Viktor Larsson Orthographic Perspective Epipolar Geometry
23/04 Dr. Martin Oswald Scene Representation Learning for 3D Scene Understanding
30/04 Cathrin Elich,
Despoina Paschalidou
07/05 Evangelos Ntavelis,
Fangjinhua Wang
14/05 Marko Mihajlovic,
Mehmet Özgür Türkoglu
21/05 Mohamad Shahbazi,
Mihai-Alexandru Dusmanu
28/05 Menelaos Kanakis,
Nikola Popovic
04/06 Paul-Edouard Alexandre Sarlin,
Rémi François Jean Pautrat
11/06 Silvan Adrian Weder,
Xianyao Zhang

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