News
Assignment 1 ReleaseWritten on 29.04.24 by Mohammad Amin Parchami Araghi Hi everyone,
You can now find Assignment 1 in the Materials tab. The deadline for this assignment is 12.5.2024 23:59 CEST. Please note that this assignment consists of two notebooks and both are part of the assignment. The submission portal will open at a later point. Each team would… Read more Hi everyone,
You can now find Assignment 1 in the Materials tab. The deadline for this assignment is 12.5.2024 23:59 CEST. Please note that this assignment consists of two notebooks and both are part of the assignment. The submission portal will open at a later point. Each team would need to submit a single zip file containing both notebooks as the solution. Please also do not forget the team registration deadline May 6th.
Good luck with the assignment!
All the Best, Your HLCV Team |
Tutorial on April 29.Written on 28.04.24 (last change on 28.04.24) by Mohammad Amin Parchami Araghi
Course Organization
Course Organization
If you wish, you can also bring your laptop. Your HLCV Team |
Course Material in the CMSWritten on 23.04.24 by Sukrut Sridhar Rao Hi all,
A few updates regarding course material:
Hi all,
A few updates regarding course material:
Thanks and regards, Sukrut Rao |
Please form teams for the assignments and projectWritten on 23.04.24 (last change on 23.04.24) by Sukrut Sridhar Rao Hi all,
The assignments and project for this course are to be completed in teams of three students. For this, please create or join a team in the CMS at https://cms.sic.saarland/hlcvss24/students/view#teams
Hi all,
The assignments and project for this course are to be completed in teams of three students. For this, please create or join a team in the CMS at https://cms.sic.saarland/hlcvss24/students/view#teams
The Forum can be used to find teammates: https://cms.sic.saarland/hlcvss24/forum/viewforum.php?f=7
Please form a team at the latest by May 6, 2024.
Best regards, Sukrut Rao |
Venue for lectures and tutorials changed to E1.5 002Written on 22.04.24 (last change on 22.04.24) by Sukrut Sridhar Rao Hi all,
Starting from this Wednesday (April 24, 2024), the lectures and tutorials will be held in E1.5 (MPI Software Systems building), room 002. Office hours will continue to be held in E1.4 024.
Thanks and regards, Sukrut Rao |
Welcome to High-Level Computer Vision 2024! Lectures begin next weekWritten on 16.04.24 by Sukrut Sridhar Rao Hi all,
Welcome to High-Level Computer Vision! While the usual schedule is for lectures to be on Wednesdays, there will be no lecture tomorrow, instead, the first lecture will be in the tutorial slot on Monday April 22, 2024 at 10:15 am, in building E1 4 (MPI Informatics building), room 024.… Read more Hi all,
Welcome to High-Level Computer Vision! While the usual schedule is for lectures to be on Wednesdays, there will be no lecture tomorrow, instead, the first lecture will be in the tutorial slot on Monday April 22, 2024 at 10:15 am, in building E1 4 (MPI Informatics building), room 024. The lectures will continue to be on Wednesdays starting from the second lecture onwards, i.e. from April 24, 2024.
Thanks and regards, Sukrut Rao |
High-Level Computer Vision
Overview
This course will cover essential techniques for high-level computer vision. These techniques facilitate semantic interpretation of visual data, as it is required for a broad range of applications like robotics, driver assistance, multi-media retrieval, surveillance, etc. In this area, the recognition and detection of objects, activities, and visual categories have seen dramatic progress over the last decade. We will discuss the methods that have led to a state-of-the-art performance in this area and provide the opportunity to gather hands-on experience with these techniques.
Course Information
Semester: Summer Semester
Year: 2024
Lecture start: Monday April 22, 2024 (please note the change in schedule for the first lecture)
Tutorial start: Monday April 29, 2024
Time and Location
Lecture: Wednesdays 10:00 AM - 12:00 PM (start at 10:15 AM)
Tutorial: Mondays 10:00 AM - 12:00 PM (start at 10:15 AM)
Location: E1.5 002
Registration
Please register for the course in the CMS. If there are any issues, please write to hlcv-ss24@mpi-inf.mpg.de.
Lecturer: Prof. Dr. Bernt Schiele
TAs: Sukrut Rao, Haoran Wang, Amin Parchami-Araghi
Office Hour: Wednesday 9:00 AM - 10:00 AM, E1.4 024
Contacting TAs: hlcv-ss24@mpi-inf.mpg.de (please only use this email ID for all email communication with the TAs) or the Forum.
Literature:
- "Computer Vision: Algorithms and Applications" by Richard Szeliski (in particular chapter on image formation)
- "Probabilistic Topic Models" by Mark Steyvers, Tom Griffiths
- Mikolajcyk, Schmid: A Performance Evaluation of Local Descriptors, TPAMI, 2005
- Boiman, Shechtman, Irani: A Performance Evaluation of Local Descriptors, CVPR, 2008
- Gehler, Nowozin: On feature combination for multi class object classification, ICCV, 2009
- Krizhevsky, Sutskever, Hinton: ImageNet Classification with Deep Convolutional Networks, NIPS, 2012
- "Pattern recognition and machine learning" by Christopher M. Bishop
- "Computer vision" by David A. Forsyth and Jean Ponce