Keynote Speakers


Mario Botsch

Universitaet Bielefeld

Mario Botsch is professor in the Computer Science Department at Bielefeld University, where he leads the Computer Graphics & Geometry Processing Group. He received his M.Sc. in mathematics from the University of Erlangen-Nürnberg (1999) and his PhD in computer science from RWTH Aachen (2005), and did his post-doc studies at ETH Zurich. The focus of his research is the efficient acquisition, optimisation, animation, and visualisation of three-dimensional geometric objects. He is currently investigating 3D-scanning and motion-capturing of humans, modelling and animation of virtual characters, and real-time visualisation in interactive virtual reality scenarios.

Title: Generation, Animation, and Evaluation of Realistic Virtual Humans

Abstract: Realistic virtual humans have many interesting applications in several fields, ranging from characters in computer games, to avatars representing ourselves in virtual environments, and digital models for medical applications. In this talk I will first present our avatar generation pipeline, which produces a realistic ready-to-animate avatar of a real person in just a couple of 10 minutes. I will show how the resulting avatars improve the perceived presence and virtual body ownership in virtual reality experiments, thereby confirming the need for realistic avatars. Finally, I will present a physics-based skinning technique that enables realistic character animation with dynamic effects while still achieving real-time frame rates.




Maks Ovsjanikov

Ecole Polytechnique

Maks Ovsjanikov is a Professor at Ecole Polytechnique in France. He works on 3D shape analysis with emphasis on shape matching and correspondence. He has received a Eurographics Young Researcher Award in 2014 "in recognition of his outstanding contributions to theoretical foundations of non-rigid shape matching". He has served on the technical program committees of international conferences including SIGGRAPH and SIGGRAPH Asia, is a member of the editorial board of Computer Graphics Forum and has co-chaired the Symposium on Geometry Processing in 2016. In 2017 he received an ERC Starting Grant from the European Commission and a Bronze Medal from the French National Center for Scientific Research (CNRS) in 2018.

Title: Functional Approaches for Representing and Analyzing 3D Shapes With and Without Learning

Abstract: I will give an overview of a set of techniques for representing and analyzing 3D shapes via spaces of real-valued functions defined on them. While this point of view is classical in many areas of mathematics, it has only recently been applied in geometric shape modeling. I will give an overview of these and related techniques and demonstrate their utility in problems including shape matching and shape comparison. A key insight is that both shapes and relations between them can be represented and manipulated as small-sized matrices, which naturally fits within many modern learning pipelines. Finally, I will show very recent deep-learning based data-driven methods for both shape correspondence and shape synthesis that exploit this functional representation to lead to state-of-the-art results.


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