CVL Seminars

The CVL Seminar series consist of scientific talks about various topics of computer vision, visualization and medical image analysis. The oral presentations range from Semester and Master Thesis presentation, through presentations of CVL lab members (such as conference talk rehearsals) to talks given by invited speakers.

Date and time: The seminars are usually on Thursday at 10:30am in ETF C106, please contact Dr. Danda Pani Paudel to schedule a talk.

Timing: 20 min + 10 min questions for Semester and Master works, 45 min + 15 min questions for others. Semester and Master works will have a strict timing, although there might be further discussion after the "official" time.

Mailing list: The [cvl-seminar] mailing list informs you about all public upcoming events. Subscribe here. Reminders of seminars with full details will be emailed to all those on our seminar mailing list (this automatically includes all CVL Group members and students currently doing a Semester or Master Thesis with us).

Calendar of events: Please find below the calendar with all scheduled seminars. You can subscribe to the calendar using the provided links.


Links: ICAL , HTML

Comments to: Dr. Danda Pani Paudel.

List of events: Click on the links for specific details of the seminars.

Date and time Place Speaker Title of the talk
Sept. 24, 2019, 10 a.m. ETF C106 Siwei Zhang

Master Thesis
Supervisors: Dr. Tiziano Portenier, Cheng Li, Prof. Dr. Orcun Goksel

One-shot Face Reenactment
Sept. 20, 2019, 3 p.m. ETF C106 Juan-Ting Lin

Semester Work
Supervisors: Dr. Dengxin Dai and Prof. Luc Van Gool

Learning Depth from Single Monocular Images and Sparse Radar Points
Sept. 18, 2019, 11 a.m. ETF C106 Silvan Borghi

Master Thesis
Supervisors: Dieter Schweizer, Prof. Orçun Göksel

Localization of Customized Transcranial Implants for Ultrasound-Guided Navigation
Sept. 17, 2019, 2 p.m. ETF C106 Alexander Okupnika

Master Thesis
Supervisors: Kerem Tezcan, Prof. Ender Konukoglu, Prof. Guenther Dissertori

Flow based prior for MRI reconstruction
Sept. 11, 2019, 4 p.m. ETF C106 Sasha Pagani

Master Thesis
Supervisors: Dr. Ajad Chhatkuli, Dr. Thomas Probst, Prof. Luc Van Gool

Self-supervised Line Detection and Clustering
Sept. 6, 2019, 3:30 p.m. ETF C106 Julien Lamour

Master Thesis
Supervisors: Dr. Martin Danelljan, Dr. Radu Timofte, Prof. Luc Van Gool

Image Quality Assessment using Deep Learning
Sept. 6, 2019, 11:15 a.m. ETF C106 Salomon Brülisauer

Bachelor Thesis
Supervisors: Dieter Schweizer, Prof. Orçun Göksel

Deep Learning based Rigid Registration of 3D Ultrasound Volumes
Sept. 6, 2019, 10:45 a.m. ETF C106 Berk Kaya

Master Thesis
Supervisors: Dr. Radu Timofte

Learning 3D Shape Reconstruction and Image Generation from Unpaired Data
Sept. 6, 2019, 10 a.m. ETF C106 Kim Sohyeong

Master Thesis
Supervisors: Dr. Martin Danelljan, Dr. Radu Timofte, Prof. Luc Van Gool

PIV3CAMS: a multi-camera dataset for multiple computer vision problems and its application to novel view-point synthesis
Sept. 4, 2019, 3:30 p.m. ETF C106 Guanju Li

Master Thesis
Supervisors: Dr. Zhiwu Huang, Dr. Danda Pani Paudel, Prof. Luc Van Gool

Faster High Resolution Image Enhancement
Sept. 4, 2019, noon ETF C106 Mélanie Bernhardt

Master Thesis
Supervisors: Dr. Valery Vishnevskiy and Prof. Orcun Goksel

Leveraging Simulated and Experimental Data in Image Reconstruction of Sound Speed using Deep Variational Networks
Sept. 3, 2019, 11 a.m. ETF C106 Denis Cener

Semester Work
Supervisors: David Brüggemann and Prof. Ender Konukoglu

Combining Deep Learning and Bayesian Networks in a Generative Model for TAVI Outcome Prediction
Sept. 2, 2019, 2 p.m. ETF C106 Nicolas Blondel

Semester Work
Supervisors: Neerav Karani, Prof. Ender Konukoglu

Segmentation of the aorta in 4D flow MRIs without ground truth labels
Aug. 29, 2019, 9:30 a.m. ETF C106 Dr. Jesse Berent

Google Research Europe, Switzerland

Applied computer vision and video content analysis in Perception at Google Research
Aug. 23, 2019, 10 a.m. ETF C106 Qi Dai

Master Thesis
Supervisors: Vaishakh Patil, Simon Hecker, Prof. Konrad Schindler, Prof. Luc Van Gool

Self-supervised Inference of Object Movement from Video