The 3rd Computational Vision Summer School offers a broad perspective on biological vision and computer vision with a thorough understanding of the theoretical and computational challenges involved. The school is unique in bringing together people from diverse disciplines who all share a computational view of vision. The faculty consists of renowned senior researchers in the field, teaching lectures and providing hands-on tutorials on topics ranging from early vision to image understanding.
MPI-IS lädt Sie herzlich zum Sommer-Kolloquium 2019 ein
This invitation-only workshop will bring together experts in the field to focus on the problem of estimating Scenes from Video. In so doing, we hope to draw several lines of research together to address the problem of extracting physical and semantic information from video.
As a follow up meeting on the RNLS (Research Network on Learning Systems) at the ETH Zürich in June 2014, we will organise the Computer Vision Breakout Meeting on the MPI IS Campus in Tuebingen. This meeting is to bring together researchers from both institutions, MPI IS and ETH Zürich, to exchange ideas, knowledge and experiences and learn from each other.
The inaugural summer school of the joint ETH/MPI Research Network on Learning Systems will feature tutorial lectures and practicals on various topics related to Learning Systems. In particular, researchers from the Max Planck Institute for Intelligent Systems and ETH Zurich will present introductory and advanced topics in areas such as Statistical Machine Learning, Robotics / Control and Computer Vision.
Multivariate analysis of neuroimaging data has gained ground very rapidly in the community over the past few years, leading to impressive results in cognitive and clinical neuroscience. Pattern recognition and machine learning conferences regularly feature a neuroimaging workshop, while neuroscientific meetings dedicate sessions to new approaches to neural data analysis. Thus, a rich two-way flow has been established between disciplines. It is the goal of the PRNI workshop series to continue facilitating exchange of ideas between scientific communities, with a particular interest in new approaches to the interpretation of neural data driven by new developments in pattern recognition and machine learning.
Organizers: Moritz Grosse-Wentrup