Computer Vision Group teaching:ws2024 https://cvg.cit.tum.de/ 2026-04-23T02:47:26+00:00 FeedCreator 1.8 (info@mypapit.net) Master Seminar - Visual-based 3D/4D Reconstruction (5 ECTS) 2024-07-09T07:54:20+00:00 2024-07-09T07:54:20+00:00 https://cvg.cit.tum.de/teaching/ws2024/3d4d_recon?rev=1720511660&do=diff Anonymous anonymous@undisclosed.example.com ---------- Master Seminar - Visual-based 3D/4D Reconstruction (5 ECTS) Winter Semester 2024/25, TU München Organisers: Weirong Chen, Linus Härenstam-Nielsen Please direct all questions to vbr-ws24@vision.in.tum.de Description 3D reconstruction captures the shape and appearance of real objects and scenes, involving techniques that convert 2D images or sensor data into 3D digital representations. It enables detailed analysis, modeling, and interaction with physical environments in virtua… ---------- Master Seminar - Visual-based 3D/4D Reconstruction (5 ECTS) Winter Semester 2024/25, TU München Organisers: Weirong Chen, Linus Härenstam-Nielsen Please direct all questions to vbr-ws24@vision.in.tum.de Description 3D reconstruction captures the shape and appearance of real objects and scenes, involving techniques that convert 2D images or sensor data into 3D digital representations. It enables detailed analysis, modeling, and interaction with physical environments in virtua… Master Seminar: 3D Shape Matching and Application in Computer Vision (5 ECTS) 2024-10-23T09:14:36+00:00 2024-10-23T09:14:36+00:00 https://cvg.cit.tum.de/teaching/ws2024/3dsm?rev=1729674876&do=diff Anonymous anonymous@undisclosed.example.com ---------- Master Seminar: 3D Shape Matching and Application in Computer Vision (5 ECTS) Winter Semester 2024/2025, TU München Organisers: Viktoria Ehm, Maolin Gao, Dr. Riccardo Marin 2024-07-04: The preliminary meeting will take place at 11:00 - 12:00 on 05.07.2024 in seminar room 02.09.014. The slides will be published afterwards. You are encouraged to participate and ask questions directly in the meeting, since it will positively affect the matching process. Please find the zoom link i… ---------- Master Seminar: 3D Shape Matching and Application in Computer Vision (5 ECTS) Winter Semester 2024/2025, TU München Organisers: Viktoria Ehm, Maolin Gao, Dr. Riccardo Marin 2024-07-04: The preliminary meeting will take place at 11:00 - 12:00 on 05.07.2024 in seminar room 02.09.014. The slides will be published afterwards. You are encouraged to participate and ask questions directly in the meeting, since it will positively affect the matching process. Please find the zoom link i… Master Seminar - Recent Advances in 4D Computer Vision (5 ECTS) 2026-01-09T15:06:00+00:00 2026-01-09T15:06:00+00:00 https://cvg.cit.tum.de/teaching/ws2024/4d_vision_ws24?rev=1767971160&do=diff Anonymous anonymous@undisclosed.example.com ---------- Master Seminar - Recent Advances in 4D Computer Vision (5 ECTS) Winter Semester 2024/25, TU München Organisers: Cecilia Curreli, Mariia Gladkova Please direct all questions to 4dvision-ws24@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 environment… ---------- Master Seminar - Recent Advances in 4D Computer Vision (5 ECTS) Winter Semester 2024/25, TU München Organisers: Cecilia Curreli, Mariia Gladkova Please direct all questions to 4dvision-ws24@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 environment… Master Seminar - Beyond Deep Learning (5 ECTS) 2024-09-09T08:19:32+00:00 2024-09-09T08:19:32+00:00 https://cvg.cit.tum.de/teaching/ws2024/bdl?rev=1725869972&do=diff Anonymous anonymous@undisclosed.example.com Master Seminar - Beyond Deep Learning (5 ECTS) Winter Semester 2024/25, TU Munich Organizers Felix Wimbauer, Prof. Dr. Daniel Cremers E-Mail: <felix.wimbauer@tum.de> (Use subject [BDL]) Course page from previous years for reference: BDL SS23 News * Kick-off meeting: October 14th 2024, 2pm-4pm, 02.09.023 * The Master Seminar - Beyond Deep Learning (5 ECTS) Winter Semester 2024/25, TU Munich Organizers Felix Wimbauer, Prof. Dr. Daniel Cremers E-Mail: <felix.wimbauer@tum.de> (Use subject [BDL]) Course page from previous years for reference: BDL SS23 News * Kick-off meeting: October 14th 2024, 2pm-4pm, 02.09.023 * The Seminar: Transfer Learning and Continual Learning in Computer Vision (5 ECTS) 2025-01-21T14:21:05+00:00 2025-01-21T14:21:05+00:00 https://cvg.cit.tum.de/teaching/ws2024/continual_learning?rev=1737469265&do=diff Anonymous anonymous@undisclosed.example.com ---------- Seminar: Transfer Learning and Continual Learning in Computer Vision (5 ECTS) Winter Semester 2024/2025, TU München Organiser: Roman Pflugfelder Contents Transfer learning is a very important area of ​​machine learning. The need to reuse learned models with images of unknown scenes, or for new tasks is omnipresent in visual learning. Lifelong learning goes a step further here and allows machines, like humans, to continuously adapt the models without any time restrictions. ---------- Seminar: Transfer Learning and Continual Learning in Computer Vision (5 ECTS) Winter Semester 2024/2025, TU München Organiser: Roman Pflugfelder Contents Transfer learning is a very important area of ​​machine learning. The need to reuse learned models with images of unknown scenes, or for new tasks is omnipresent in visual learning. Lifelong learning goes a step further here and allows machines, like humans, to continuously adapt the models without any time restrictions. Practical Course: Creation of Deep Learning Methods (10 ECTS) 2024-06-28T12:12:46+00:00 2024-06-28T12:12:46+00:00 https://cvg.cit.tum.de/teaching/ws2024/create_dl?rev=1719576766&do=diff Anonymous anonymous@undisclosed.example.com ---------- Practical Course: Creation of Deep Learning Methods (10 ECTS) Winter Semester 2024/2025, TU Munich Please send applications (including learning goals, programming skills description, code, all grade transcripts (small PDF file size) - see preliminary-meeting slides) to create-dl[at]vision.in.tum.de ---------- Practical Course: Creation of Deep Learning Methods (10 ECTS) Winter Semester 2024/2025, TU Munich Please send applications (including learning goals, programming skills description, code, all grade transcripts (small PDF file size) - see preliminary-meeting slides) to create-dl[at]vision.in.tum.de Computer Vision III: Detection, Segmentation and Tracking (IN2375) 2024-10-14T09:48:29+00:00 2024-10-14T09:48:29+00:00 https://cvg.cit.tum.de/teaching/ws2024/cv3?rev=1728899309&do=diff Anonymous anonymous@undisclosed.example.com ---------- Computer Vision III: Detection, Segmentation and Tracking (IN2375) Overview Computer Vision III offers a comprehensive review of methods for high-level computer vision tasks: object detection, image segmentation and object tracking. These tasks are one of the most compelling applications of computer vision in the real world. Research on these applications is still very active and highly impactful in computer vision. The material of this course spans the recent literature leveraging… ---------- Computer Vision III: Detection, Segmentation and Tracking (IN2375) Overview Computer Vision III offers a comprehensive review of methods for high-level computer vision tasks: object detection, image segmentation and object tracking. These tasks are one of the most compelling applications of computer vision in the real world. Research on these applications is still very active and highly impactful in computer vision. The material of this course spans the recent literature leveraging… Seminar: Deep Learning for the Natural Sciences (5 ECTS) 2025-02-06T21:59:28+00:00 2025-02-06T21:59:28+00:00 https://cvg.cit.tum.de/teaching/ws2024/dl4science?rev=1738879168&do=diff Anonymous anonymous@undisclosed.example.com ---------- Seminar: Deep Learning for the Natural Sciences (5 ECTS) Winter Semester 2024 Organiser: Karnik Ram (karnik.ram@tum.de) Preliminary meeting : 11.07.24. Slides Description Following its success in computer vision and language processing, deep learning is now being increasingly used to augment and accelerate research in the natural sciences. Examples include electro-catalyst discovery for energy storage, fast PDE solvers for weather forecasting, discovery of new anti-biotics, a… ---------- Seminar: Deep Learning for the Natural Sciences (5 ECTS) Winter Semester 2024 Organiser: Karnik Ram (karnik.ram@tum.de) Preliminary meeting : 11.07.24. Slides Description Following its success in computer vision and language processing, deep learning is now being increasingly used to augment and accelerate research in the natural sciences. Examples include electro-catalyst discovery for energy storage, fast PDE solvers for weather forecasting, discovery of new anti-biotics, a… Practical Course: Expert-Level Deep Learning (10 ECTS) 2024-06-28T12:14:43+00:00 2024-06-28T12:14:43+00:00 https://cvg.cit.tum.de/teaching/ws2024/dlpractice?rev=1719576883&do=diff Anonymous anonymous@undisclosed.example.com ---------- Practical Course: Expert-Level Deep Learning (10 ECTS) Summer Semester 2024, TU Munich Please send applications (including learning goals, programming skills description, code, all grade transcripts (small PDF file size) - see preliminary-meeting slides) to dlpractice[at]vision.in.tum.de ---------- Practical Course: Expert-Level Deep Learning (10 ECTS) Summer Semester 2024, TU Munich Please send applications (including learning goals, programming skills description, code, all grade transcripts (small PDF file size) - see preliminary-meeting slides) to dlpractice[at]vision.in.tum.de Seminar: Foundation Models for Computer Vision (5 ECTS) 2024-11-23T16:47:12+00:00 2024-11-23T16:47:12+00:00 https://cvg.cit.tum.de/teaching/ws2024/fmcv?rev=1732380432&do=diff Anonymous anonymous@undisclosed.example.com ---------- Seminar: Foundation Models for Computer Vision (5 ECTS) Winter Semester 2024/25, TU München Organisers: Dominik Schnaus, Tarun Yenamandra Please direct questions to <fmcv-ws24@vision.in.tum.de> Course Materials: Course Materials News 2024-06-24: [preliminary meeting] will take place from 14:00 - 15:00 on 27.06.2024 online via Zoom. The slides will be published on a protected page linked from here. Please attend the meeting to learn more about the course or ask questions. Att… ---------- Seminar: Foundation Models for Computer Vision (5 ECTS) Winter Semester 2024/25, TU München Organisers: Dominik Schnaus, Tarun Yenamandra Please direct questions to <fmcv-ws24@vision.in.tum.de> Course Materials: Course Materials News 2024-06-24: [preliminary meeting] will take place from 14:00 - 15:00 on 27.06.2024 online via Zoom. The slides will be published on a protected page linked from here. Please attend the meeting to learn more about the course or ask questions. Att… Seminar: Advanced topics in Graph Learning (5 ECTS) 2024-10-18T15:57:10+00:00 2024-10-18T15:57:10+00:00 https://cvg.cit.tum.de/teaching/ws2024/graph_learning_ws24?rev=1729267030&do=diff Anonymous anonymous@undisclosed.example.com Seminar: Advanced topics in Graph Learning (5 ECTS) Winter Semester 2024, 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) Winter Semester 2024, 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… Introduction to Deep Learning (IN2346) 2025-04-29T09:56:47+00:00 2025-04-29T09:56:47+00:00 https://cvg.cit.tum.de/teaching/ws2024/i2dl?rev=1745920607&do=diff Anonymous anonymous@undisclosed.example.com This course will be offered by 3D AI Lab in SS25. Please visit this website for more information. Introduction to Deep Learning (IN2346) Welcome to the Introduction to Deep Learning course offered in WS24/25. Course Structure What When This course will be offered by 3D AI Lab in SS25. Please visit this website for more information. Introduction to Deep Learning (IN2346) Welcome to the Introduction to Deep Learning course offered in WS24/25. Course Structure What When Seminar: The Evolution of Motion Estimation and Real-time 3D Reconstruction 2024-10-14T08:30:47+00:00 2024-10-14T08:30:47+00:00 https://cvg.cit.tum.de/teaching/ws2024/seminar_realtime3d?rev=1728894647&do=diff Anonymous anonymous@undisclosed.example.com ---------- Seminar: The Evolution of Motion Estimation and Real-time 3D Reconstruction 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: The Evolution of Motion Estimation and Real-time 3D Reconstruction 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.