Computer Vision III: Detection, Segmentation and Tracking (CV3DST) (IN2375)

Welcome to Computer Vision III: Detection, Segmentation and Tracking course offered in SS21.

Lecture

Date and location:

Until further notice, all lectures will be held online

Lecturers: Prof. Dr. Laura Leal-Taixé and Dr. Ismail Elezi.

ECTS: 6

2V + 2U

Due to covid-19, all lectures will be recorded!

Practical

No location.

Details will be announced soon.

Content

• 20.04.2021 - Lecture 1: Introduction and Lecture 2: Two-stage detectors (RCNN, Fast RCNN, Faster RCNN)
• 27.04.2021 - Lecture 3: One-stage detectors (YOLO, RetinaNet)
• 04.05.2021 - Lecture 4: Single/multi-object tracking
• 11.05.2021 - Lecture 5: Multiple object tracking (Message Passing Networks)
• 18.05.2021 - Lecture 6: Transformers and its usage in Computer Vision
• 25.05.2021 - Lecture 7: Pedestrian Trajectory Prediction (GANs)
• 01.06.2021 - No lecture
• 08.06.2021 - Lecture 8: Semantic segmentation
• 15.06.2021 - Lecture 9: Instance segmentation
• 22.06.2021 - No lecture
• 29.06.2021 - Lecture 10: Video object segmentation
• 06.07.2021 - Lecture 11: 3D Tracking and segmentation
• 13.07.2021 - Final competition presentation by the winners

Practical sessions

• 01.05.2021 - Initial code for exercises released
• 13.05.2021 - Exercise 1: Presentation
• 20.05.2021 - Exercise 1: Zoom session 1
• 27.05.2021 - Exercise 1: Zoom session 2
• 02.06.2021 - Exercise 1 deadline (midnight)
• 03.06.2021 - Exercise 1: solution and Exercise 2: Presentation
• 10.06.2021 - Exercise 2: Zoom 1
• 17.06.2021 - Exercise 2: Zoom 2
• 23.06.2021 - Exercise 2: deadline
• 24.06.2021 - Exercise 2: solution
• 08.07.2021 - Final competition deadline

Office Hours

• 18.05.2021 (10:00-12:00) - it covers the first five lectures

Slides

TBA

Videos

TBA

Prerequisites

• Introduction to Deep Learning (I2DL) (IN2346)
• Strong mathematical background: Linear algebra and calculus.
• Previous knowledge of Python is mandatory.
• Previous knowledge of PyTorch is highly recommended.

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.

Contact us

If you have any questions regarding the organization of the course, do not hesitate to contact us at: dst@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.