MIG 2019 - ACM SIGGRAPH Conference on Motion, Interaction and Games

Please notice that the conference deadline is extended to 22nd July 2019. See the submission dates here.

Welcome to the 12th annual ACM SIGGRAPH conference on Motion, Interaction and Games 2019 (formerly known as Motion In Games) held at Northumbria University, Newcastle Upon Tyne, United Kingdom, 28th - 30th Oct 2019.

In this year, authors of selected best papers will be referred to submit extended and significantly revised versions in the IEEE Transactions on Visualizations and Computer Graphics (TVCG, Impact Factor 3.078) and the Computers & Graphics Journal (C&G, Impact Factor: 1.200).

Motion plays a crucial role in interactive applications, such as VR, AR, and video games. Characters move around, objects are manipulated or move due to physical constraints, entities are animated, and the camera moves through the scene. Even the motion of the player nowadays is used as input to such interactive systems.

Motion is currently studied in many different areas of research, including graphics and animation, game technology, robotics, simulation, computer vision, and also physics, psychology, and urban studies. Cross-fertilization between these communities can considerably advance the state-of-the-art in the area.

The goal of the Motion, Interaction and Games conference is to bring together researchers from this variety of fields to present their most recent results, to initiate collaborations, and to contribute to the establishment of the research area. The conference will consist of regular paper sessions, poster presentations, and as well as presentations by a selection of internationally renowned speakers in all areas related to interactive systems and simulation. The conference includes entertaining cultural and social events that foster casual and friendly interactions among the participants.




Platinum Special





In Cooperation



Keynote Speakers

    • Prof. Markus Gross
      Professor of Computer Science at the Swiss Federal Institute of Technology Zurich (ETH), Head of the Computer Graphics Laboratory, Vice President Research and the Director of DisneyResearch|Studios
      Markus Gross is a Professor of Computer Science at the Swiss Federal Institute of Technology Zurich (ETH), Head of the Computer Graphics Laboratory, Vice President Research and the Director of DisneyResearch|Studios. He joined the ETH Computer Science faculty in 1994. His research interests include physically based modeling, computer animation, immersive displays, and video technology. Before joining Disney, Gross was Head of the Institute of Computational Sciences at ETH. He received a Master of Science in electrical and computer engineering and a PhD in computer graphics and image analysis, both from Saarland University in Germany in 1986 and 1989. Gross serves on the boards of numerous international research institutes, societies, and governmental organizations. He received the Technical Achievement Award from EUROGRAPHICS in 2010 and the Swiss ICT Champions Award in 2011. He is a fellow of the ACM and of the EUROGRAPHICS Association and a member of the German Academy of Sciences Leopoldina as well as the Berlin-Brandenburg Academy of Sciences and Humanities. In 2013 he received the Konrad Zuse Medal of GI and the Karl Heinz Beckurts price as well as the IEEE Visualization Career Award in 2015. In 2013 and 2019 he received a Technical Achievement Award from the Academy of Motion Picture Arts and Sciences. He cofounded Cyfex AG, Novodex AG, LiberoVision AG, Dybuster AG, Gimalon AG, Kapanu AG, Perceptiko AG, Propulsion Academy AG, Arbrea Labs AG, Nanocorp AG and Animatico AG.

    • Dr. Taku Komura
      Reader, University of Edinburgh
      Taku Komura is a Reader (associate professor) at the Institute of Perception, Action and Behaviour, School of Informatics, University of Edinburgh. As the leader of the Computer Graphics and Visualization Unit his research has focused on data-driven character animation, physically-based character animation, crowd simulation, cloth animation, anatomy-based modelling, and robotics. Recently, his main research interests have been the application of machine learning techniques for animation synthesis. He received the Royal Society Industry Fellowship (2014) and the Google AR/VR Research Award (2017).

    • Prof. Karan Singh
      Professor of Computer Science at the University of Toronto
      Karan Singh is a Professor of Computer Science at the University of Toronto. He co-directs a globally reputed graphics and HCI lab, DGP, has over 100 peer-reviewed publications, and has supervised over 40 MS/PhD theses. His research interests lie in interactive graphics, spanning art and visual perception, geometric design and fabrication, character animation and anatomy, and interaction techniques for mobile, Augmented and Virtual Reality (AR/VR). He has been a technical lead for the Oscar award winning software Maya and was the R&D Director for the 2004 Oscar winning animated short Ryan. He has co-founded multiple companies including Arcestra (architectural design), JALI (facial animation), and JanusVR (Virtual Reality).


Tutorial Speakers

    • Dr. Nicolas Heess
      Research Scientist at DeepMind, London
      Nicolas Heess is a Research Scientist at DeepMind, London. He is interested in questions related to artificial intelligence and machine learning, perception, motor control, and robotics. One of his long-term goals is to develop algorithms and architectures that enable embodied agents to learn to intelligently reason about and interact with their physical environment and other agents. He has worked on the theory and applications of reinforcement learning and control, unsupervised learning, probabilistic models, and inference. His current research focuses on the application of these methods at the intersection of perception and control with a special interest in the acquisition, representation and adaptation of sensorimotor skills. Prior to joining DeepMind Nicolas was a postdoctoral researcher at the Gatsby Unit (UCL) working with Yee Whye Teh and David Silver. He did his PhD under the supervision of Chris Williams at the University of Edinburgh and also paid several extended visits to Microsoft Research (Cambridge, UK) where he worked with John Winn and others.
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