Workshop July 17, 2017 during RSS (Robotics: Science and Systems Conference) at the Kresge Auditorium at the Massachusetts Institute of Technology in Cambridge, Massachusetts, USA.
Organizers: Jeannette Bohg
This is the third in a series of invitation-only workshops held after ICCV. SfV brings together experts on image and video understanding, machine learning, and 3D scene analysis. In so doing, we hope to draw several lines of research together to address the problem of extracting both physical and semantic information from video.
Organizers: Michael Black
The idea of DALI is to combine the special qualities of the former Snowbird meetings (intimate atmosphere, very good people, plenty of time to interact) with positive aspects of larger conferences that rarely take place in Europe. We decided for a three day format with two days of workshops, and one day of plenary talks in the middle, including a poster session. We chose an attractive location in a nearby time zone, which limits travel times for many of us who normally travel to meetings in the US. We have initially circulated this link only to a small list of people with the hope that we can bootstrap it into a high quality meeting of size around 50-100. If you haven’t been contacted yet, but you’d like to attend, please e-mail us.
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