Computer Vision Grouphttps://cvg.cit.tum.de/2026-04-15T05:04:18+00:00FeedCreator 1.8 (info@mypapit.net)3rd Practical Course: Applied Foundation Models (10 ECTS) - Change date for kick-off2026-04-14T22:36:39+00:002026-04-14T22:36:39+00:00https://cvg.cit.tum.de/teaching/ss2026/afm?rev=1776198999&do=diffDominik Schnausschnaus@undisclosed.example.com3rd Practical Course: Applied Foundation Models (10 ECTS)
News
The preliminary meeting will take place on Feb 4rd, 2026 from 14:00-15:00 in room 02.09.023 and under this Zoom link. The course itself will be conducted in person.
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Organizational3rd Practical Course: Applied Foundation Models (10 ECTS)
News
The preliminary meeting will take place on Feb 4rd, 2026 from 14:00-15:00 in room 02.09.023 and under this Zoom link. The course itself will be conducted in person.
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OrganizationalSeminar: Fundamentals and Models of Neural Networks in Computer Vision (5 ECTS)2026-04-14T16:55:26+00:002026-04-14T16:55:26+00:00https://cvg.cit.tum.de/teaching/ss2026/fundamentals?rev=1776178526&do=diffDr. Roman Pflugfelderpfl@undisclosed.example.com----------
Seminar: Fundamentals and Models of Neural Networks in Computer Vision (5 ECTS)
Summer Semester 2026, TU München
Organiser:
Roman Pflugfelder
Description
Modern computer vision is largely based on neural network and machine learning models originally developed within the machine learning community. In this seminar, students study state-of-the-art computer vision models in their historical and methodological context, focusing on selected visual tasks aligned with their academic…----------
Seminar: Fundamentals and Models of Neural Networks in Computer Vision (5 ECTS)
Summer Semester 2026, TU München
Organiser:
Roman Pflugfelder
Description
Modern computer vision is largely based on neural network and machine learning models originally developed within the machine learning community. In this seminar, students study state-of-the-art computer vision models in their historical and methodological context, focusing on selected visual tasks aligned with their academic…Summer Semester 20262026-04-14T16:51:19+00:002026-04-14T16:51:19+00:00https://cvg.cit.tum.de/teaching/ss2026?rev=1776178279&do=diffDr. Roman Pflugfelderpfl@undisclosed.example.comInquiries for Bachelor and Master projects are always welcome.
Anfragen zu Bachelor-/Masterarbeiten und -projekten sind jederzeit herzlich willkommen!
<https://vision.in.tum.de/application>
Summer Semester 2026
Lectures
* 3D Computer Vision
* TBD
Practical Courses (10 ECTS)
* Applied Foundation Models
* Deep Learning for Spatial AI
* Shape and Manifold Analysis
*Inquiries for Bachelor and Master projects are always welcome.
Anfragen zu Bachelor-/Masterarbeiten und -projekten sind jederzeit herzlich willkommen!
<https://vision.in.tum.de/application>
Summer Semester 2026
Lectures
* 3D Computer Vision
* TBD
Practical Courses (10 ECTS)
* Applied Foundation Models
* Deep Learning for Spatial AI
* Shape and Manifold Analysis
*spezial:bib2026-04-13T15:42:18+00:002026-04-13T15:42:18+00:00https://cvg.cit.tum.de/spezial/bib?rev=1776087738&do=diffDaniil Sinitsynsida@undisclosed.example.com----------
@STRING{aap = {Archiv f{\"u}r Anatomie und Physiologie}}
@STRING{accv = {Asian Conference on Computer Vision}}
@STRING{acha = {Applied and Computational Harmonic Analysis}}
@STRING{acm = {Advances in Computational Mathematics}}
@STRING{ismar= {International Symposium on Mixed and Augmented Reality}}----------
@STRING{aap = {Archiv f{\"u}r Anatomie und Physiologie}}
@STRING{accv = {Asian Conference on Computer Vision}}
@STRING{acha = {Applied and Computational Harmonic Analysis}}
@STRING{acm = {Advances in Computational Mathematics}}
@STRING{ismar= {International Symposium on Mixed and Augmented Reality}}spezial:bib:solo_dsin_2026_focal.png - created2026-04-13T15:39:43+00:002026-04-13T15:39:43+00:00https://cvg.cit.tum.de/?image=spezial%3Abib%3Asolo_dsin_2026_focal.png&ns=spezial%3Abib&rev=1776087583&tab_details=history&mediado=diff&do=mediaDaniil Sinitsynsida@undisclosed.example.com<img src="https://cvg.cit.tum.de/_media/spezial/bib/solo_dsin_2026_focal.png?w=500&h=247&t=1776087583&tok=30bcec" alt="spezial:bib:solo_dsin_2026_focal.png" /><img src="https://cvg.cit.tum.de/_media/spezial/bib/solo_dsin_2026_focal.png?w=500&h=247&t=1776087583&tok=30bcec" alt="spezial:bib:solo_dsin_2026_focal.png" />Schedule2026-04-13T14:18:30+00:002026-04-13T14:18:30+00:00https://cvg.cit.tum.de/teaching/ss2026/4d-vision/internal?rev=1776082710&do=diffCecilia Currelicurreli@undisclosed.example.comSchedule
Our seminar will take place in seminar room 00.08.055 and have the following agenda:
Materials
We expect a final report of 5 pages, including figures and excluding references, following the template [ here]. The details and further instructions are included in the template.Schedule
Our seminar will take place in seminar room 00.08.055 and have the following agenda:
Materials
We expect a final report of 5 pages, including figures and excluding references, following the template [ here]. The details and further instructions are included in the template.Seminar: Deep Learning for Dynamical Simulations (5 ECTS)2026-04-13T12:34:58+00:002026-04-13T12:34:58+00:00https://cvg.cit.tum.de/teaching/ss2026/dl-dynamics?rev=1776076498&do=diffKarnik Ramramk@undisclosed.example.com----------
Seminar: Deep Learning for Dynamical Simulations (5 ECTS)
Summer Semester 2026
Organizer:
Karnik Ram (karnik.ram@tum.de)
Preliminary meeting: 14:00-14:30 on 03.02.2026 Presentation slides.
Update (03/2026): There are still open spots available, contact if you are interested!----------
Seminar: Deep Learning for Dynamical Simulations (5 ECTS)
Summer Semester 2026
Organizer:
Karnik Ram (karnik.ram@tum.de)
Preliminary meeting: 14:00-14:30 on 03.02.2026 Presentation slides.
Update (03/2026): There are still open spots available, contact if you are interested!Seminar: Selected Topics in Deep Learning -- Equivariance & Dynamics (5 ECTS) - Add presentations2026-04-13T09:57:44+00:002026-04-13T09:57:44+00:00https://cvg.cit.tum.de/teaching/ws2025/dl-equi-dynam?rev=1776067064&do=diffKarnik Ramramk@undisclosed.example.com----------
Seminar: Selected Topics in Deep Learning -- Equivariance & Dynamics (5 ECTS)
Winter Semester 2025
Organizer:
Karnik Ram (karnik.ram@tum.de)
Preliminary meeting : 11.07.25. 14:00 - 14:30 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 from be…----------
Seminar: Selected Topics in Deep Learning -- Equivariance & Dynamics (5 ECTS)
Winter Semester 2025
Organizer:
Karnik Ram (karnik.ram@tum.de)
Preliminary meeting : 11.07.25. 14:00 - 14:30 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 from be…teaching:ws2025:dl-equi-dynam:nisometries.pdf - created2026-04-13T09:54:49+00:002026-04-13T09:54:49+00:00https://cvg.cit.tum.de/?image=teaching%3Aws2025%3Adl-equi-dynam%3Anisometries.pdf&ns=teaching%3Aws2025%3Adl-equi-dynam&rev=1776066889&tab_details=history&mediado=diff&do=mediaKarnik Ramramk@undisclosed.example.comno summaryteaching:ws2025:dl-equi-dynam:tfn.pdf - created2026-04-13T09:54:48+00:002026-04-13T09:54:48+00:00https://cvg.cit.tum.de/?image=teaching%3Aws2025%3Adl-equi-dynam%3Atfn.pdf&ns=teaching%3Aws2025%3Adl-equi-dynam&rev=1776066888&tab_details=history&mediado=diff&do=mediaKarnik Ramramk@undisclosed.example.comno summaryteaching:ws2025:dl-equi-dynam:scoremd.pdf - created2026-04-13T09:54:48+00:002026-04-13T09:54:48+00:00https://cvg.cit.tum.de/?image=teaching%3Aws2025%3Adl-equi-dynam%3Ascoremd.pdf&ns=teaching%3Aws2025%3Adl-equi-dynam&rev=1776066888&tab_details=history&mediado=diff&do=mediaKarnik Ramramk@undisclosed.example.comno summaryteaching:ws2025:dl-equi-dynam:stochasticfm.pdf - created2026-04-13T09:54:45+00:002026-04-13T09:54:45+00:00https://cvg.cit.tum.de/?image=teaching%3Aws2025%3Adl-equi-dynam%3Astochasticfm.pdf&ns=teaching%3Aws2025%3Adl-equi-dynam&rev=1776066885&tab_details=history&mediado=diff&do=mediaKarnik Ramramk@undisclosed.example.comno summaryteaching:ws2025:dl-equi-dynam:breaking.pdf - created2026-04-13T09:54:45+00:002026-04-13T09:54:45+00:00https://cvg.cit.tum.de/?image=teaching%3Aws2025%3Adl-equi-dynam%3Abreaking.pdf&ns=teaching%3Aws2025%3Adl-equi-dynam&rev=1776066885&tab_details=history&mediado=diff&do=mediaKarnik Ramramk@undisclosed.example.comno summaryteaching:ws2025:dl-equi-dynam:doobs.pdf - created2026-04-13T09:54:44+00:002026-04-13T09:54:44+00:00https://cvg.cit.tum.de/?image=teaching%3Aws2025%3Adl-equi-dynam%3Adoobs.pdf&ns=teaching%3Aws2025%3Adl-equi-dynam&rev=1776066884&tab_details=history&mediado=diff&do=mediaKarnik Ramramk@undisclosed.example.comno summaryteaching:ws2025:dl-equi-dynam:equidino.pdf - created2026-04-13T09:54:42+00:002026-04-13T09:54:42+00:00https://cvg.cit.tum.de/?image=teaching%3Aws2025%3Adl-equi-dynam%3Aequidino.pdf&ns=teaching%3Aws2025%3Adl-equi-dynam&rev=1776066882&tab_details=history&mediado=diff&do=mediaKarnik Ramramk@undisclosed.example.comno summaryteaching:ws2025:dl-equi-dynam:akorn.pdf - created2026-04-13T09:54:42+00:002026-04-13T09:54:42+00:00https://cvg.cit.tum.de/?image=teaching%3Aws2025%3Adl-equi-dynam%3Aakorn.pdf&ns=teaching%3Aws2025%3Adl-equi-dynam&rev=1776066882&tab_details=history&mediado=diff&do=mediaKarnik Ramramk@undisclosed.example.comno summaryteaching:ws2025:dl-equi-dynam:adaptation.pdf - created2026-04-13T09:54:38+00:002026-04-13T09:54:38+00:00https://cvg.cit.tum.de/?image=teaching%3Aws2025%3Adl-equi-dynam%3Aadaptation.pdf&ns=teaching%3Aws2025%3Adl-equi-dynam&rev=1776066878&tab_details=history&mediado=diff&do=mediaKarnik Ramramk@undisclosed.example.comno summaryteaching:ws2025:dl-equi-dynam:action-matching.pdf - created2026-04-13T09:50:17+00:002026-04-13T09:50:17+00:00https://cvg.cit.tum.de/?image=teaching%3Aws2025%3Adl-equi-dynam%3Aaction-matching.pdf&ns=teaching%3Aws2025%3Adl-equi-dynam&rev=1776066617&tab_details=history&mediado=diff&do=mediaKarnik Ramramk@undisclosed.example.comno summaryteaching:ws2025:dl-equi-dynam:neural-ode.pdf - created2026-04-13T09:50:10+00:002026-04-13T09:50:10+00:00https://cvg.cit.tum.de/?image=teaching%3Aws2025%3Adl-equi-dynam%3Aneural-ode.pdf&ns=teaching%3Aws2025%3Adl-equi-dynam&rev=1776066610&tab_details=history&mediado=diff&do=mediaKarnik Ramramk@undisclosed.example.comno summaryMultiple View Geometry (3D Computer Vision) (IN2228)2026-04-09T10:32:42+00:002026-04-09T10:32:42+00:00https://cvg.cit.tum.de/teaching/ss2025/mvg?rev=1775723562&do=diffDaniil Sinitsynsida@undisclosed.example.comMultiple 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…