https://cvg.cit.tum.de/ 2026-04-21T20:47:41+00:00 FeedCreator 1.8 (info@mypapit.net) 2020-04-21T11:31:38+00:00 2020-04-21T11:31:38+00:00 https://cvg.cit.tum.de/teaching/ss2020/bdluam_ss2020?rev=1587468698&do=diff Anonymous anonymous@undisclosed.example.com ---------- Practical Course: Beyond Deep Learning: Uncertainty Aware Models (10 ECTS) Summer Semester 2020, TU München Organizers: Christian Tomani, Yuesong Shen, Prof. Dr. Daniel Cremers E-Mail: <bdluam-ss20@vision.in.tum.de> News The Kick-Off meeting takes place on April 22nd at 1-3pm via zoom. The link to the online meeting will be sent to all participants via email.

---------- Practical Course: Beyond Deep Learning: Uncertainty Aware Models (10 ECTS) Summer Semester 2020, TU München Organizers: Christian Tomani, Yuesong Shen, Prof. Dr. Daniel Cremers E-Mail: <bdluam-ss20@vision.in.tum.de> News The Kick-Off meeting takes place on April 22nd at 1-3pm via zoom. The link to the online meeting will be sent to all participants via email.

2020-06-24T09:51:39+00:00 2020-06-24T09:51:39+00:00 https://cvg.cit.tum.de/teaching/ss2020/dlpractice_ss2020?rev=1592992299&do=diff Anonymous anonymous@undisclosed.example.com ---------- Practical Course: Hands-on Deep Learning for Computer Vision and Biomedicine (10 ECTS) Summer Semester 2020, TU München here. Please send applications (including learning goals, programming skills description, code, grade transcripts - 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 2020, TU München here. Please send applications (including learning goals, programming skills description, code, grade transcripts - see preliminary meeting slides) to dlpractice[at]vision.in.tum.de

2020-06-28T17:24:59+00:00 2020-06-28T17:24:59+00:00 https://cvg.cit.tum.de/teaching/ss2020/intellisys_ss2020?rev=1593365099&do=diff Anonymous anonymous@undisclosed.example.com Practical Course: Learning For Self-Driving Cars and Intelligent Systems (10 ECTS) SS 20, TU München Organizers: Qadeer Khan, Patrick Wenzel Correspondence Please forward any queries related to the lab to: <intellisys-ss20.vision.in@tum.de> Course Registration Assignment to the lab is done via the matching system. Please additionally send your application documents to the correspondence email. The preliminary meeting (recommended) to take place on

Practical Course: Learning For Self-Driving Cars and Intelligent Systems (10 ECTS) SS 20, TU München Organizers: Qadeer Khan, Patrick Wenzel Correspondence Please forward any queries related to the lab to: <intellisys-ss20.vision.in@tum.de> Course Registration Assignment to the lab is done via the matching system. Please additionally send your application documents to the correspondence email. The preliminary meeting (recommended) to take place on

2020-10-15T10:24:53+00:00 2020-10-15T10:24:53+00:00 https://cvg.cit.tum.de/teaching/ss2020/ml4cv?rev=1602757493&do=diff Anonymous anonymous@undisclosed.example.com Lecture: Machine Learning for Computer Vision (IN2357) (2h + 2h, 5ECTS) SS 2020, TU München Announcements This semester, the lecture will be given partly online. This means that several topics will be made available from an earlier recording of the lecture. A detailed lecture plan will be given on this page.

Lecture: Machine Learning for Computer Vision (IN2357) (2h + 2h, 5ECTS) SS 2020, TU München Announcements This semester, the lecture will be given partly online. This means that several topics will be made available from an earlier recording of the lecture. A detailed lecture plan will be given on this page.

2020-10-15T10:24:47+00:00 2020-10-15T10:24:47+00:00 https://cvg.cit.tum.de/teaching/ss2020/mvg2020?rev=1602757487&do=diff Anonymous anonymous@undisclosed.example.com ---------- Lecture: Computer Vision II: Multiple View Geometry (IN2228) SS 2020, TU München News * 15/09: * Details for the retake graded exercise are announced * 20/07: * Graded exercise FAQs are updated here * Relevant material: all lecture material (weeks 1-13) and the exercise material (week 1-12) are relevant for the final/retake

---------- Lecture: Computer Vision II: Multiple View Geometry (IN2228) SS 2020, TU München News * 15/09: * Details for the retake graded exercise are announced * 20/07: * Graded exercise FAQs are updated here * Relevant material: all lecture material (weeks 1-13) and the exercise material (week 1-12) are relevant for the final/retake

2020-03-16T09:29:03+00:00 2020-03-16T09:29:03+00:00 https://cvg.cit.tum.de/teaching/ss2020/seminar_realtime3d?rev=1584350943&do=diff Anonymous anonymous@undisclosed.example.com ---------- Seminar: The Evolution of Motion Estimation and Real-time 3D Reconstruction Block seminar for computer science and games engineering master students (IN2107). General Visual simultaneous localization and mapping (SLAM) or Structure from Motion (SfM) is a classical problem in computer vision. It has wide applications in autonomous navigation, virtual/augmented reality, 3D scanning etc. In this seminar, we will start by reviewing the classical approaches in the literature and then p…

---------- Seminar: The Evolution of Motion Estimation and Real-time 3D Reconstruction Block seminar for computer science and games engineering master students (IN2107). General Visual simultaneous localization and mapping (SLAM) or Structure from Motion (SfM) is a classical problem in computer vision. It has wide applications in autonomous navigation, virtual/augmented reality, 3D scanning etc. In this seminar, we will start by reviewing the classical approaches in the literature and then p…

2021-01-28T11:12:11+00:00 2021-01-28T11:12:11+00:00 https://cvg.cit.tum.de/teaching/ss2020/seminar_shapeanalysis?rev=1611832331&do=diff Anonymous anonymous@undisclosed.example.com ---------- Seminar: Shape Analysis and Applications in Computer Vision Seminar for computer science master students (IN2107). Description Three­-dimensional data has been used for decades in computer science. Nevertheless, methods for the automatic analysis, recognition, categorization and comparison of 3D objects have become an active field of research only recently. In this seminar, we will start by reviewing the classical approaches in the literature and then proceed to investigate method…

---------- Seminar: Shape Analysis and Applications in Computer Vision Seminar for computer science master students (IN2107). Description Three­-dimensional data has been used for decades in computer science. Nevertheless, methods for the automatic analysis, recognition, categorization and comparison of 3D objects have become an active field of research only recently. In this seminar, we will start by reviewing the classical approaches in the literature and then proceed to investigate method…

2020-07-17T21:05:52+00:00 2020-07-17T21:05:52+00:00 https://cvg.cit.tum.de/teaching/ss2020/visnav_ss2020?rev=1595019952&do=diff Anonymous anonymous@undisclosed.example.com Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS) SS 2020, TU München Lecturers: Vladyslav Usenko, Nikolaus Demmel, David Schubert Please direct questions to <visnav_ss2020@vision.in.tum.de> News * 2020-07-17: Added lecture evaluation results below. * 2020-06-19: Videos discussing solutions for Sheet 4 and 5 are now available

Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS) SS 2020, TU München Lecturers: Vladyslav Usenko, Nikolaus Demmel, David Schubert Please direct questions to <visnav_ss2020@vision.in.tum.de> News * 2020-07-17: Added lecture evaluation results below. * 2020-06-19: Videos discussing solutions for Sheet 4 and 5 are now available