Winter Semester 2024/25, TU München

Organisers: Cecilia Curreli, Mariia Gladkova

Please direct all questions to 4dvision-ws24@vision.in.tum.de

In this seminar, we will delve into the forefront of computer vision, focusing on the latest deep learning methods for the generation, reconstruction, and prediction of dynamic scenes. As the field progresses, understanding and interpreting dynamic environments have become critical for numerous applications, including autonomous driving, robotics, and augmented reality.

The analyzed recent research papers will highlight significant advancements in dynamic vision. Key areas of focus include: generation of dynamic Scenes, reconstruction of dynamic environments, prediction of future States.

The seminar is conducted in English. Dates and schedule of the seminar can be found in TUMOnline.

The seminar will take place as block course on 24th and 25th of March (9 am - 16 pm), where each student will present a paper assigned after matching. We expect a final report of 4 pages according to a given template.

The kick-off meeting took place on Zoom, on Wednesday 27th June at 11:00 am: zoom link. The slides of the kick-off meeting can be found here as slides or pdf. If you have any questions do not hesitate to contact us.

Assignment to the lab is done via the matching system. In addition to applying to the matching system please remember to also send in your application documents by the registration deadline.