Welcome to Computer Vision III: Detection, Segmentation and Tracking course offered in WS22.
Lecture
Date and location: Tuesdays, 10-12, Lecture Hall in Galileo (8120.EG.001)
Lecturers: Prof. Dr. Laura Leal-Taixé
ECTS: 6
2V + 2U
Lecture content
- 26.04. - Lecture 0: Introduction and Lecture 1: Object Detectors
- 10.05. - Lecture 2: Two-stage detectors (RCNN, Fast RCNN, Faster RCNN)
- 17.05. - Lecture 3: One-stage detectors (YOLO, RetinaNet)
- 31.05. - Lecture 4: Single/multi-object tracking
- 14.06. - Lecture 5: Multiple object tracking (Message Passing Networks)
- 21.06. - Lecture 6: Transformers and its usage in Computer Vision
- 28.06. - Lecture 7: Semantic segmentation
- 05.07. - Lecture 8: Instance segmentation
- 12.07. - Lecture 9: Video object segmentation
- 19.07. - Lecture 10: Trajectory Prediction
- 26.07. - Lecture 11: 3D data
Practical sessions
Date and location: Thursdays, 14-16, Lecture Hall in Galileo (8120.EG.001)
- 02.06.2022 - Introduction exercise 1
- 09.06.2022 - QA exercise 1
- 14.06.2022 - QA exercise 1
- 23.06.2022 - Introduction exercise 2
- 30.06.2022 - QA exercise 2
- 07.07.2022 - QA exercise 2
- 14.07.2022 - Introduction exercise 3
- 21.07.2022 - QA exercise 3
- 28.07.2022 - QA exercise 3
Slides
Moodle
HomePage
Videos
Prerequisites
Moodle
We use Moodle for discussions and to distribute important information. Please check the News and Discussion boards regularly or subscribe to them.
The slides and all material will also be posted on Moodle.
FINAL EXAM:
- Exam date: 11.08.22, 10:45-12:15 (onsite)
If you have any questions regarding the organization of the course, do not hesitate to contact us at: cv3dst-ss22@dvl.in.tum.de
For questions on the syllabus, exercises or any other questions on the content of the lecture, we will use the Moodle discussion board.
