https://cvg.cit.tum.de/ 2026-04-22T01:21:22+00:00 FeedCreator 1.8 (info@mypapit.net) 2022-03-30T06:58:47+00:00 2022-03-30T06:58:47+00:00 https://cvg.cit.tum.de/teaching/ss2022/3dsm?rev=1648623527&do=diff Anonymous anonymous@undisclosed.example.com ---------- Master Seminar: 3D Shape Matching and Application in Computer Vision (5 ECTS) Summer Semester 2022, TU München Organisers: Maolin Gao, Marvin Eisenberger Please direct questions to <3dsm-ss22@vision.in.tum.de> News 2022-03-29: The list of papers has been published here. 2022-03-11: After the matching phase, we have some limited vacancies open for application. If you are interested, please send us your transcript (optional CV) until 25.03.2022. We will come back to you after …

---------- Master Seminar: 3D Shape Matching and Application in Computer Vision (5 ECTS) Summer Semester 2022, TU München Organisers: Maolin Gao, Marvin Eisenberger Please direct questions to <3dsm-ss22@vision.in.tum.de> News 2022-03-29: The list of papers has been published here. 2022-03-11: After the matching phase, we have some limited vacancies open for application. If you are interested, please send us your transcript (optional CV) until 25.03.2022. We will come back to you after …

2022-04-27T13:17:58+00:00 2022-04-27T13:17:58+00:00 https://cvg.cit.tum.de/teaching/ss2022/bdlstnc_ss2022?rev=1651065478&do=diff Anonymous anonymous@undisclosed.example.com ---------- Seminar: Beyond Deep Learning: Selected Topics on Novel Challenges (5 ECTS) Summer Semester 2022, TU München Organizers: Christian Tomani, Yuesong Shen, Prof. Dr. Daniel Cremers E-Mail: <bdlstnc-ss22@vision.in.tum.de> News In order for participants to get matched to a topic, please send us an email to <bdlstnc-ss22@vision.in.tum.de> with the title “[Topic_Matching] <Firstname> <Lastname>”, and attach a filled topic preference form (rename to "firstname_lastname.xlsx") until M…

---------- Seminar: Beyond Deep Learning: Selected Topics on Novel Challenges (5 ECTS) Summer Semester 2022, TU München Organizers: Christian Tomani, Yuesong Shen, Prof. Dr. Daniel Cremers E-Mail: <bdlstnc-ss22@vision.in.tum.de> News In order for participants to get matched to a topic, please send us an email to <bdlstnc-ss22@vision.in.tum.de> with the title “[Topic_Matching] <Firstname> <Lastname>”, and attach a filled topic preference form (rename to "firstname_lastname.xlsx") until M…

2023-01-24T12:00:06+00:00 2023-01-24T12:00:06+00:00 https://cvg.cit.tum.de/teaching/ss2022/create_dl?rev=1674561606&do=diff Anonymous anonymous@undisclosed.example.com ---------- Practical Course: Creation of Deep Learning Methods (10 ECTS) Summer Semester 2022, TU München here. Please send applications (including learning goals, programming skills description, code, all grade transcripts (small file size) - see preliminary-meeting slides) to create-dl[at]vision.in.tum.de

---------- Practical Course: Creation of Deep Learning Methods (10 ECTS) Summer Semester 2022, TU München here. Please send applications (including learning goals, programming skills description, code, all grade transcripts (small file size) - see preliminary-meeting slides) to create-dl[at]vision.in.tum.de

2023-01-24T12:00:24+00:00 2023-01-24T12:00:24+00:00 https://cvg.cit.tum.de/teaching/ss2022/dlpractice?rev=1674561624&do=diff Anonymous anonymous@undisclosed.example.com ---------- Practical Course: Hands-on Deep Learning for Computer Vision and Biomedicine (10 ECTS) Summer Semester 2022, TU München here. Please send applications (including learning goals, programming skills description, code, all grade transcripts (small file size) - see preliminary-meeting slides) to dlpractice[at]vision.in.tum.de

---------- Practical Course: Hands-on Deep Learning for Computer Vision and Biomedicine (10 ECTS) Summer Semester 2022, TU München here. Please send applications (including learning goals, programming skills description, code, all grade transcripts (small file size) - see preliminary-meeting slides) to dlpractice[at]vision.in.tum.de

2022-04-23T14:50:40+00:00 2022-04-23T14:50:40+00:00 https://cvg.cit.tum.de/teaching/ss2022/intellisys_ss2022?rev=1650725440&do=diff Anonymous anonymous@undisclosed.example.com Practical Course: Learning For Self-Driving Cars and Intelligent Systems (10 ECTS) Summer Semester 2022, TU München Organizers: Qadeer Khan, Mariia Gladkova Correspondence Please forward any queries related to the lab to <intellisys-ss22@vision.in.tum.de>. Course Registration Assignment to the lab is done via the

Practical Course: Learning For Self-Driving Cars and Intelligent Systems (10 ECTS) Summer Semester 2022, TU München Organizers: Qadeer Khan, Mariia Gladkova Correspondence Please forward any queries related to the lab to <intellisys-ss22@vision.in.tum.de>. Course Registration Assignment to the lab is done via the

2022-05-06T08:00:35+00:00 2022-05-06T08:00:35+00:00 https://cvg.cit.tum.de/teaching/ss2022/mlcv2022?rev=1651824035&do=diff Anonymous anonymous@undisclosed.example.com Lecture: Machine Learning for Computer Vision (IN2357) (2h + 2h, 5ECTS) SS 2022, TU München Announcements This semester, the lecture will be given in presence. The lecture room is "102, Hörsaal 2, "Interims I" (5620.01.102)". You can use our library for the programming exercises:

Lecture: Machine Learning for Computer Vision (IN2357) (2h + 2h, 5ECTS) SS 2022, TU München Announcements This semester, the lecture will be given in presence. The lecture room is "102, Hörsaal 2, "Interims I" (5620.01.102)". You can use our library for the programming exercises:

2022-07-21T09:08:31+00:00 2022-07-21T09:08:31+00:00 https://cvg.cit.tum.de/teaching/ss2022/mvg2022?rev=1658394511&do=diff Anonymous anonymous@undisclosed.example.com ---------- Computer Vision II: Multiple View Geometry (IN2228) Offered in Hybrid Format in SS 2022, TU München Registration If you plan to attend, please register for the course in TUMonline. Later during the semester, you will have to register for the exam.

---------- Computer Vision II: Multiple View Geometry (IN2228) Offered in Hybrid Format in SS 2022, TU München Registration If you plan to attend, please register for the course in TUMonline. Later during the semester, you will have to register for the exam.

2022-04-06T09:34:26+00:00 2022-04-06T09:34:26+00:00 https://cvg.cit.tum.de/teaching/ss2022/reconstruction_ss22?rev=1649237666&do=diff Anonymous anonymous@undisclosed.example.com Seminar: Advanced topics on 3D Reconstruction Seminar for computer science, games engineering and computational science and engineering (CSE) master students (IN2107). Infomation Zoom Link is published in the material page. General Computer Vision research has consistently focused on the reconstruction of 3D geometry. This seminar will primarily focus on recent research that can rebuild geometry with a high level of accuracy. Shape-from-shading, photometric stereo, and surface reconstructio…

Seminar: Advanced topics on 3D Reconstruction Seminar for computer science, games engineering and computational science and engineering (CSE) master students (IN2107). Infomation Zoom Link is published in the material page. General Computer Vision research has consistently focused on the reconstruction of 3D geometry. This seminar will primarily focus on recent research that can rebuild geometry with a high level of accuracy. Shape-from-shading, photometric stereo, and surface reconstructio…

2022-03-11T11:36:20+00:00 2022-03-11T11:36:20+00:00 https://cvg.cit.tum.de/teaching/ss2022/seminar_3dcv?rev=1646998580&do=diff Anonymous anonymous@undisclosed.example.com ---------- Seminar: Recent Advances in 3D Computer Vision Block seminar for computer science, games engineering and RCI master students. General Inferring 3D informations from images is one of the most fundamental problem in Computer Vision. In this seminar, we will look at different topics within the field of 3D Computer Vision, such as Object and Scene 3D reconstruction using many different 3D representations, as well as Odometry estimation.

---------- Seminar: Recent Advances in 3D Computer Vision Block seminar for computer science, games engineering and RCI master students. General Inferring 3D informations from images is one of the most fundamental problem in Computer Vision. In this seminar, we will look at different topics within the field of 3D Computer Vision, such as Object and Scene 3D reconstruction using many different 3D representations, as well as Odometry estimation.

2022-06-20T11:56:33+00:00 2022-06-20T11:56:33+00:00 https://cvg.cit.tum.de/teaching/ss2022/visnav_ss2022?rev=1655726193&do=diff Anonymous anonymous@undisclosed.example.com Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS) SS 2022, TU München Lecturers: Jason Chui, Simon Klenk Please direct questions to <visnav-ss22@vision.in.tum.de> News * 2022-06-20: We are doing the meetings in 02.09.038 today. * 2022-05-30: Remember to register your group, your topic, and the meeting's timeslot in the google sheet, you can find it in the material page

Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS) SS 2022, TU München Lecturers: Jason Chui, Simon Klenk Please direct questions to <visnav-ss22@vision.in.tum.de> News * 2022-06-20: We are doing the meetings in 02.09.038 today. * 2022-05-30: Remember to register your group, your topic, and the meeting's timeslot in the google sheet, you can find it in the material page