Computer Vision Group teaching:ws2018 https://cvg.cit.tum.de/ 2026-04-22T05:59:40+00:00 FeedCreator 1.8 (info@mypapit.net) Computer Vision I: Variational Methods 2019-04-05T21:27:13+00:00 2019-04-05T21:27:13+00:00 https://cvg.cit.tum.de/teaching/ws2018/cvvm_ws2018?rev=1554499633&do=diff Anonymous anonymous@undisclosed.example.com ---------- Computer Vision I: Variational Methods WS 2018/19, TU München News 20.02.19: * The exam review for the first exam will take place on Monday, March 11 at 11am in room 02.09.023. If you have questions regarding the preliminary exam results, ---------- Computer Vision I: Variational Methods WS 2018/19, TU München News 20.02.19: * The exam review for the first exam will take place on Monday, March 11 at 11am in room 02.09.023. If you have questions regarding the preliminary exam results, Convex Optimization for Machine Learning and Computer Vision (IN2330) (2h + 2h, 6 ECTS) 2020-02-25T15:11:49+00:00 2020-02-25T15:11:49+00:00 https://cvg.cit.tum.de/teaching/ws2018/cvx4cv?rev=1582643509&do=diff Anonymous anonymous@undisclosed.example.com Convex Optimization for Machine Learning and Computer Vision (IN2330) (2h + 2h, 6 ECTS) Many important machine learning and computer vision tasks can be formulated as convex optimization problems, e.g. training of SVMs, logistic regression, low-rank and sparse matrix decomposition, image segmentation, stereo matching, surface reconstruction, etc. In this lecture we will discuss first-order convex optimization methods to solve the aforementioned problems efficiently. Particular attentio… Convex Optimization for Machine Learning and Computer Vision (IN2330) (2h + 2h, 6 ECTS) Many important machine learning and computer vision tasks can be formulated as convex optimization problems, e.g. training of SVMs, logistic regression, low-rank and sparse matrix decomposition, image segmentation, stereo matching, surface reconstruction, etc. In this lecture we will discuss first-order convex optimization methods to solve the aforementioned problems efficiently. Particular attentio… Practical Course: Hands-on Deep Learning for Computer Vision and Biomedicine (10 ECTS) 2019-01-22T09:29:08+00:00 2019-01-22T09:29:08+00:00 https://cvg.cit.tum.de/teaching/ws2018/dlpractice_ws2018?rev=1548149348&do=diff Anonymous anonymous@undisclosed.example.com ---------- Practical Course: Hands-on Deep Learning for Computer Vision and Biomedicine (10 ECTS) Winter Semester 2018/2019, TU München here. Please direct all questions regarding this practical course to golkov[at]in.tum.de Please send applications (including learning goals, programming skills description, code, grade transcripts - see preliminary meeting slides) to ---------- Practical Course: Hands-on Deep Learning for Computer Vision and Biomedicine (10 ECTS) Winter Semester 2018/2019, TU München here. Please direct all questions regarding this practical course to golkov[at]in.tum.de Please send applications (including learning goals, programming skills description, code, grade transcripts - see preliminary meeting slides) to Machine Learning for Computer Vision (IN2357) (2h + 2h, 5ECTS) 2019-10-23T14:54:45+00:00 2019-10-23T14:54:45+00:00 https://cvg.cit.tum.de/teaching/ws2018/ml4cv?rev=1571842485&do=diff Anonymous anonymous@undisclosed.example.com Machine Learning for Computer Vision (IN2357) (2h + 2h, 5ECTS) WS 2018, TU München Announcements You can use our library for the programming exercises: mlcv-tutorial October, 12th: November, 6th: Link for piazza: <https://piazza.com/ tum.de/fall2018/ in2357> FAQ 1. Attendance to the lecture is open for all. Machine Learning for Computer Vision (IN2357) (2h + 2h, 5ECTS) WS 2018, TU München Announcements You can use our library for the programming exercises: mlcv-tutorial October, 12th: November, 6th: Link for piazza: <https://piazza.com/ tum.de/fall2018/ in2357> FAQ 1. Attendance to the lecture is open for all. Seminar: Recent Advances in 3D Computer Vision 2018-10-12T12:52:57+00:00 2018-10-12T12:52:57+00:00 https://cvg.cit.tum.de/teaching/ws2018/seminar_3dcv?rev=1539348777&do=diff Anonymous anonymous@undisclosed.example.com ---------- Seminar: Recent Advances in 3D Computer Vision Seminar for computer science and games engineering master students (IN2107). Description 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 proceed to the more recent metho… ---------- Seminar: Recent Advances in 3D Computer Vision Seminar for computer science and games engineering master students (IN2107). Description 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 proceed to the more recent metho… Seminar: Shape Analysis and Optimization 2018-11-26T10:53:47+00:00 2018-11-26T10:53:47+00:00 https://cvg.cit.tum.de/teaching/ws2018/seminar_shapeanalysis?rev=1543229627&do=diff Anonymous anonymous@undisclosed.example.com ---------- Seminar: Shape Analysis and Optimization Seminar for computer science and mathematics 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 methods… ---------- Seminar: Shape Analysis and Optimization Seminar for computer science and mathematics 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 methods… Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS) 2019-01-24T17:38:14+00:00 2019-01-24T17:38:14+00:00 https://cvg.cit.tum.de/teaching/ws2018/visnav_ws2018?rev=1548351494&do=diff Anonymous anonymous@undisclosed.example.com Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS) WS 18/19, TU München Lecturers: Vladyslav Usenko, Nikolaus Demmel Please direct questions to <visnav_ws2018@vision.in.tum.de> TUMOnline course entry: <https://campus.tum.de/tumonline/wbLv.wbShowLVDetail?pStpSpNr=950396181&pSpracheNr=1> Date & Location Lecture & exercises (assignment phase) : Mondays, lectures approx. 2pm to 4pm (starting 2:00 sharp) in 02.05.014, tutoring of exercises approx. 4pm to 6pm in 02.05.014 Practical Course: Vision-based Navigation IN2106 (6h SWS / 10 ECTS) WS 18/19, TU München Lecturers: Vladyslav Usenko, Nikolaus Demmel Please direct questions to <visnav_ws2018@vision.in.tum.de> TUMOnline course entry: <https://campus.tum.de/tumonline/wbLv.wbShowLVDetail?pStpSpNr=950396181&pSpracheNr=1> Date & Location Lecture & exercises (assignment phase) : Mondays, lectures approx. 2pm to 4pm (starting 2:00 sharp) in 02.05.014, tutoring of exercises approx. 4pm to 6pm in 02.05.014