Elementor #7

We are very happy to announce that the Colour and Visual Computing Symposium 2022 (CVCS 2022) will take place in Gjøvik, Norway, on 8-9 September 2022. This will be the 11th time that The Colour and Visual Computing Laboratory at the Norwegian University of Science and Technology (NTNU) organizes such an event. This edition of the symposium follows up on the success achieved by the previous runs, of the biannual Gjøvik Colour Imaging Symposium (GCIS), from 2003 to 2011, and CVCS 2013, CVCS 2015, CVCS 2018 and CVCS 2020. The symposium has attracted a growing number of participants and provided a platform for fruitful discussions and exploration of recent theoretical advances and emerging practical applications of colour and visual information processing.

Keynote Speakers

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Robert Jenssen Visual Intelligence for medical image analysis

Robert Jenssen directs Visual Intelligence, a centre for research-based innovation (SFI) funded by the Research Council of Norway and consortium partners. Jenssen is a Professor in the Machine Learning Group at UiT The Arctic University of Norway. He is also an Adjunct Professor at the University of Copenhagen, Denmark, and at the Norwegian Computing Center in Oslo, Norway. In his research, Jenssen is focusing on advancing deep learning and machine learning methodology for complex image analysis and data analysis in general. He collaborates with industry and at the intersection of technology and health. Jenssen received the Dr. Scient (PhD) degree from UiT in 2005. He has had long-term research stays at the University of Florida, at the Technical University of Berlin, and at the Technical University of Denmark. Jenssen has international leadership experience, e.g. as a member of the IEEE Technical Committee on Machine Learning for Signal Processing, as a member of the Governing Board of IAPR, and an Associate Editor for the journal Pattern Recognition. He has been the leader of the Norwegian association on image analysis and pattern recognition. He was the general chair of the Scandinavian conference on image analysis, 2017. He is a general chair of the annual Northern Lights Deep Learning Conference, NLDL.

[@jenssen_robert / visual-intelligence.no / machine-learning.uit.no / nldl.org]

Sebastian Bosse (title on presentation TBA)

Sebastian Bosse is head of the Interactive & Cognitive Systems group at Fraunhofer Heinrich Hertz Institute (HHI), Berlin, Germany. He studied electrical engineering and information technology at RWTH Aachen University, Germany, and Polytechnic University of Catalonia, Barcelona, Spain. Sebastian received the Dr.-Ing. degree in computer science (with highest distinction) from the Technical University Berlin in 2018.
During his studies he was a visiting researcher at Siemens Corporate Research, Princeton, USA. In 2014, Sebastian was a guest scientist in the Stanford Vision and Neuro-Development Lab (SVNDL) at Stanford University, USA.
After working as a research engineer in the Image & Video Compression group and later in the Machine Learning group, he founded the research group on Interactive & Cognitive Systems at Fraunhofer HHI in 2020 that he has headed since.
Sebastian is a lecturer at the German University in Cairo. He is on the board ort h Video Quality Expert Group (VQEG) and on the advisory board ort h Interational AIQT Foundation. Sebastian is an affiliate member of VISTA, York University, Toronto, and serves as an associate editor for the IEEE Transactions on Image Processing.
His current research interests include the modelling of perception and cognition, machine learning, computer vision, and human-machine interaction.

Karl R Gegenfurtner Color vision for objects

Karl Gegenfurtner studied Psychology at Regensburg University. Subsequently he obtained a Ph.D. degree from New York University, where he also spent his first PostDoc. In 1993 he moved to the Max-Planck-Institute for biological cybernetics in Tübingen, where he obtained his Habilitation in 1998 and a Heisenberg-Fellowship in the same year. In 2000 he moved to the University of Magdeburg and in 2001 to Giessen University, where he since then holds a full professorship for Psychology. The emphasis of Karl Gegenfurtner’s research is on information processing in the visual system. Specifically, he is concerned with the relationship between low level sensory processes, higher level visual cognition, and sensorimotor integration.

Karl Gegenfurtner is the head of the DFG Collaborative Research Center TRR 135 on the “Cardinal mechanisms of perception”. He was elected into the National Academy of Science Leopoldina in 2015, received the Wilhelm-Wundt medal of the German Psychological Association (DGPS) in 2016 and an ERC Advanced Grant on color vision in 2020.

William Smith Self-supervised Inverse Rendering

Will Smith is a Reader in the Department of Computer Science, University of York where he leads the Vision, Graphics and Learning (VGL) research group. He was a Royal Academy of Engineering/The Leverhulme Trust Senior Research Fellow from 2019-2020 and is currently an Associate Editor of the journal Pattern Recognition. He currently leads a team of two postdocs and ten PhD students and has published over 100 papers, many in the top conferences and journals in the field. His research interests span vision, graphics and ML. Specifically, physics-based and 3D computer vision, shape and appearance modelling and the application of statistics and machine learning to these areas.