Computer Vision Group teaching:ss2025 https://cvg.cit.tum.de/ 2026-04-21T19:36:31+00:00 FeedCreator 1.8 (info@mypapit.net) Master Seminar - Recent Advances in 4D Computer Vision (5 ECTS) 2026-01-09T14:57:34+00:00 2026-01-09T14:57:34+00:00 https://cvg.cit.tum.de/teaching/ss2025/4d-vision?rev=1767970654&do=diff Anonymous anonymous@undisclosed.example.com ---------- Master Seminar - Recent Advances in 4D Computer Vision (5 ECTS) Summer Semester 2025, TU München Organisers: Cecilia Curreli, Mariia Gladkova Please direct all questions to 4dvision-ss25@vision.in.tum.de Description 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 h… ---------- Master Seminar - Recent Advances in 4D Computer Vision (5 ECTS) Summer Semester 2025, TU München Organisers: Cecilia Curreli, Mariia Gladkova Please direct all questions to 4dvision-ss25@vision.in.tum.de Description 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 h… 2nd Practical Course: Applied Foundation Models (10 ECTS) 2025-04-28T13:29:08+00:00 2025-04-28T13:29:08+00:00 https://cvg.cit.tum.de/teaching/ss2025/afm?rev=1745846948&do=diff Anonymous anonymous@undisclosed.example.com 2nd Practical Course: Applied Foundation Models (10 ECTS) News ---------- You can find the slides for the KickOff meeting here: Google Slides ---------- You can find the slides for the preliminary meeting here: Google Slides ---------- The preliminary meeting will take place on 2nd Practical Course: Applied Foundation Models (10 ECTS) News ---------- You can find the slides for the KickOff meeting here: Google Slides ---------- You can find the slides for the preliminary meeting here: Google Slides ---------- The preliminary meeting will take place on Seminar: Selected Topics in Deep Learning -- Equivariance & Dynamics (5 ECTS) 2025-08-16T08:52:56+00:00 2025-08-16T08:52:56+00:00 https://cvg.cit.tum.de/teaching/ss2025/dl-equi-dynam?rev=1755334376&do=diff Anonymous anonymous@undisclosed.example.com ---------- Seminar: Selected Topics in Deep Learning -- Equivariance & Dynamics (5 ECTS) Summer Semester 2025 Organizer: Karnik Ram (karnik.ram@tum.de) Preliminary meeting : 11.02.25. 14:30 - 15:00 CET. [Slides]. Description The current trend in deep learning is towards scaling model size and data, and more recently test-time compute. A smaller but steady trend has been in introducing certain physics-inspired inductive biases such as symmetries and dynamics into these models. Apart fro… ---------- Seminar: Selected Topics in Deep Learning -- Equivariance & Dynamics (5 ECTS) Summer Semester 2025 Organizer: Karnik Ram (karnik.ram@tum.de) Preliminary meeting : 11.02.25. 14:30 - 15:00 CET. [Slides]. Description The current trend in deep learning is towards scaling model size and data, and more recently test-time compute. A smaller but steady trend has been in introducing certain physics-inspired inductive biases such as symmetries and dynamics into these models. Apart fro… Practical Course: Deep Learning for Spatial AI (10 ECTS) 2025-04-15T08:13:40+00:00 2025-04-15T08:13:40+00:00 https://cvg.cit.tum.de/teaching/ss2025/dl4sai?rev=1744704820&do=diff Anonymous anonymous@undisclosed.example.com ---------- Practical Course: Deep Learning for Spatial AI (10 ECTS) Overview This practical course aims at advanced students with prior knowledge of deep learning (e.g. Introduction to Deep Learning, IN2346), multi-view geometry (e.g. Computer Vision II, IN2228) or semantic understanding (e.g. Computer Vision III, IN2375). The goal of this course is to gain practical experience with state-of-the-art computer vision models and experiment with new ideas to address open real-world challenges in … ---------- Practical Course: Deep Learning for Spatial AI (10 ECTS) Overview This practical course aims at advanced students with prior knowledge of deep learning (e.g. Introduction to Deep Learning, IN2346), multi-view geometry (e.g. Computer Vision II, IN2228) or semantic understanding (e.g. Computer Vision III, IN2375). The goal of this course is to gain practical experience with state-of-the-art computer vision models and experiment with new ideas to address open real-world challenges in … Seminar: Advanced topics in Graph Learning (5 ECTS) 2025-04-03T08:11:02+00:00 2025-04-03T08:11:02+00:00 https://cvg.cit.tum.de/teaching/ss2025/graph_learning_ss25?rev=1743667862&do=diff Anonymous anonymous@undisclosed.example.com Seminar: Advanced topics in Graph Learning (5 ECTS) Summer Semester 2025, TU München Organizers: Christian Koke, Abhishek Saroha Correspondence Please forward any queries related to the seminar to: <Abhishek.Saroha@in.tum.de>. Course Content The field of graph learning has recently witnessed a significant surge in interest with with emerging applications of networks on graph structured data ranging from topics in drug discovery over traffic control to guiding mathematicians intuition i… Seminar: Advanced topics in Graph Learning (5 ECTS) Summer Semester 2025, TU München Organizers: Christian Koke, Abhishek Saroha Correspondence Please forward any queries related to the seminar to: <Abhishek.Saroha@in.tum.de>. Course Content The field of graph learning has recently witnessed a significant surge in interest with with emerging applications of networks on graph structured data ranging from topics in drug discovery over traffic control to guiding mathematicians intuition i… Seminar: Modern Methods for 3D Reconstruction and Representation 2025-02-17T12:52:11+00:00 2025-02-17T12:52:11+00:00 https://cvg.cit.tum.de/teaching/ss2025/modern3d?rev=1739796731&do=diff Anonymous anonymous@undisclosed.example.com ---------- Seminar: Modern Methods for 3D Reconstruction and Representation Seminar IN2107, which is open to Master students from "computer science", "games engineering", "robotics, cognition, and intelligence", and other programs. Please consult TUMonline or your study coordinator for more information. ---------- Seminar: Modern Methods for 3D Reconstruction and Representation Seminar IN2107, which is open to Master students from "computer science", "games engineering", "robotics, cognition, and intelligence", and other programs. Please consult TUMonline or your study coordinator for more information. Multiple View Geometry (3D Computer Vision) (IN2228) 2026-04-09T08:32:42+00:00 2026-04-09T08:32:42+00:00 https://cvg.cit.tum.de/teaching/ss2025/mvg?rev=1775723562&do=diff Anonymous anonymous@undisclosed.example.com Multiple View Geometry (3D Computer Vision) (IN2228) Overview The lecture introduces the basic concepts of image formation - perspective projection and camera motion. The goal is to reconstruct the three-dimensional world and the camera motion from multiple images. To this end, one determines correspondences between points in various images and respective constraints that allow to compute motion and 3D structure. A particular emphasis of the lecture is on mathematical descriptions of rigid b… Multiple View Geometry (3D Computer Vision) (IN2228) Overview The lecture introduces the basic concepts of image formation - perspective projection and camera motion. The goal is to reconstruct the three-dimensional world and the camera motion from multiple images. To this end, one determines correspondences between points in various images and respective constraints that allow to compute motion and 3D structure. A particular emphasis of the lecture is on mathematical descriptions of rigid b… Seminar: Neural Network Design Patterns in Computer Vision (5 ECTS) 2025-09-05T14:12:07+00:00 2025-09-05T14:12:07+00:00 https://cvg.cit.tum.de/teaching/ss2025/patterns?rev=1757081527&do=diff Anonymous anonymous@undisclosed.example.com ---------- Seminar: Neural Network Design Patterns in Computer Vision (5 ECTS) Summer Semester 2025, TU München Organiser: Roman Pflugfelder Description Computer vision considers models of neural networks initially invented by the machine learning community. This seminar allows the student to study neural networks in more detail. By the end of the seminar, all participants will understand the principles and the applications of selected models, and they will receive the ability to reuse t… ---------- Seminar: Neural Network Design Patterns in Computer Vision (5 ECTS) Summer Semester 2025, TU München Organiser: Roman Pflugfelder Description Computer vision considers models of neural networks initially invented by the machine learning community. This seminar allows the student to study neural networks in more detail. By the end of the seminar, all participants will understand the principles and the applications of selected models, and they will receive the ability to reuse t… Practical Course: 3D Shape Analysis and Virtual Humans Applications (10ECTS) 2025-08-04T09:58:31+00:00 2025-08-04T09:58:31+00:00 https://cvg.cit.tum.de/teaching/ss2025/savha?rev=1754301511&do=diff Anonymous anonymous@undisclosed.example.com Practical Course: 3D Shape Analysis and Virtual Humans Applications (10ECTS) Summer Semester 2025, TU München Organisers: Viktoria Ehm, Maolin Gao, Dr. Riccardo Marin Contact : savha-ss25@vision.in.tum.de News * 04.04.2025: Matching is concluded, but we still have room for more students! If you are interested, reach out to us! Practical Course: 3D Shape Analysis and Virtual Humans Applications (10ECTS) Summer Semester 2025, TU München Organisers: Viktoria Ehm, Maolin Gao, Dr. Riccardo Marin Contact : savha-ss25@vision.in.tum.de News * 04.04.2025: Matching is concluded, but we still have room for more students! If you are interested, reach out to us! Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS) 2025-07-18T15:17:52+00:00 2025-07-18T15:17:52+00:00 https://cvg.cit.tum.de/teaching/ss2025/visnav_ss2025?rev=1752851872&do=diff Anonymous anonymous@undisclosed.example.com Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS) SS 2025, TU München Lecturers: Jason Chui, Mateo de Mayo Please direct questions to <visnav-ss25@vision.in.tum.de> News * The slide for the phase2 project is uploaded and please register your team in the google sheet * Your GitLab account is ready, instructions are in the material page Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS) SS 2025, TU München Lecturers: Jason Chui, Mateo de Mayo Please direct questions to <visnav-ss25@vision.in.tum.de> News * The slide for the phase2 project is uploaded and please register your team in the google sheet * Your GitLab account is ready, instructions are in the material page Visnav 2025-07-04T14:01:35+00:00 2025-07-04T14:01:35+00:00 https://cvg.cit.tum.de/teaching/ss2025/visnav_ws2025?rev=1751637695&do=diff Anonymous anonymous@undisclosed.example.com Page moved to <https://cvg.cit.tum.de/teaching/ws2025/visnav_ws2025> Page moved to <https://cvg.cit.tum.de/teaching/ws2025/visnav_ws2025>