Winter Semester 2025/26, TU München

Organisers: Dominik Schnaus, Christoph Reich

Please direct questions to ulcv-ws25@vision.in.tum.de

2025-07-17: [preliminary meeting] will take place from 13:30 - 14:00 on 17.07.2025 online via Zoom (https://tum-conf.zoom-x.de/j/69788622207?pwd=7bMo0rwFUutWalbbTzfs6yEEUJjYPJ.1). Please attend the meeting to learn more about the course or ask questions. Attendance at the preliminary meeting is not mandatory.

Current progress in visual understanding has predominantly been driven by supervised learning (e.g., SAM, DepthAnything). However, acquiring large amounts of annotated data is highly labour-intensive and even infeasible for certain applications. Unsupervised approaches, such as DINO or SMURF, eliminate the need for ground truth annotations. This seminar will discuss some of the most significant and recent advances in unsupervised learning for visual understanding, ranging from self-supervised representation learning to unsupervised segmentation and reconstruction.

Machine Learning (IN2064), Introduction to Deep Learning (IN2346) or similar