Machine Learning for Computer Vision Faculty of Computer Science TU Dresden

Research Seminar Combinatorial Image Analysis

Contents

This seminar is about combinatorial optimization problems with applications in the field of image analysis. This includes graph decomposition problems for image segmentation and multiple object tracking, assignment problems for object matching, and unconstrained multi-linear optimization problems for inference in discrete graphical models. For analyzing and solving these problems, the seminar covers techniques from the areas of combinatorial optimization, computational complexity and algorithm engineering.

Organization

Schedule (tentative)

Date Begin End Place Contents
2024-10-15 9:20 10:50 APB-2026 Kick-off meeting
2024-10-22 9:20 10:50 APB-2026
2024-10-29 9:20 10:50 APB-2026
2024-11-05 9:20 10:50 APB-2026 Relation algebra
2024-11-12 9:20 10:50 (no seminar)
2024-11-19 9:20 10:50 APB-2026 Generalized separator inequalities
2024-11-26 9:20 10:50 APB-2026 Hybrid clustering and ordering
2024-12-03 9:20 10:50 APB-2026 Volume image annotation
2024-12-10 9:20 10:50 APB-2026
2024-12-17 9:20 10:50 APB-2026
2025-01-07 9:20 10:50 APB-2026
2025-01-14 9:20 10:50 APB-2026
2025-01-21 9:20 10:50 (no seminar)
2025-01-28 9:20 10:50 APB-2026 Partial optimality
2025-02-04 9:20 10:50 APB-2026
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