In this talk, I will give an overview of some recent works on
forecasting human behavior or extreme weather and climate events. In the
first part, I will discuss Social Diffusion, a diffusion approach for
short-term and long-term forecasting of the motion of multiple persons
as well as their social interactions. I will also introduce the “Humans
in Kitchens” dataset, a new benchmark for multi-person human motion
forecasting with scene context. Furthermore, I will describe a temporal
diffusion network for anticipating future actions and modeling the
uncertainty of both the observation and the future predictions. In the
second part, I will discuss approaches for forecasting extreme weather
and climate events with a focus on wildfires and agricultural droughts.
Prof. Dr. Juergen Gall is professor and head of the Computer Vision
Group at the University of Bonn since 2013, spokesperson of the
Transdisciplinary Research Area “Mathematics, Modelling and Simulation
of Complex Systems”, and member of the Lamarr Institute for Machine
Learning and Artificial Intelligence. After his Ph.D. in computer
science from the Saarland University and the Max Planck Institute for
Informatics, he was a postdoctoral researcher at the Computer Vision
Laboratory, ETH Zurich, from 2009 until 2012 and senior research
scientist at the Max Planck Institute for Intelligent Systems in
Tübingen from 2012 until 2013. He received a grant for an independent
Emmy Noether research group from the German Research Foundation (DFG) in
2013, the German Pattern Recognition Award of the German Association for
Pattern Recognition (DAGM) in 2014, an ERC Starting Grant in 2016, and
an ERC Consolidator Grant in 2022. He is further spokesperson of the DFG
funded research unit “Anticipating Human Behavior”, PI of the Cluster of
Excellence “PhenoRob – Robotics and Phenotyping for Sustainable Crop
Production”, and ELLIS Fellow.