Michael J. Black awarded major “test of time” prize at the 2020 Conference on Computer Vision and Pattern Recognition
Black, a Director at the Max Planck Institute for Intelligent Systems (MPI-IS), has been awarded the Longuet-Higgins Prize. The award honours research that has made a significant impact in the research field of computer vision.
Tübingen. June 16, 2020 – Michael J. Black, Director of the Perceiving Systems Department at the Max Planck Institute for Intelligent Systems (MPI-IS) and Distinguished Amazon Scholar, has been awarded the 2020 Longuet-Higgins Prize at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). The award was announced today at the conference, which is being held online until June 18.
The prize is awarded annually by the IEEE Pattern Analysis and Machine Intelligence (PAMI) Technical Committee for “Contributions in Computer Vision that Have Withstood the Test of Time.” It recognizes CVPR papers from ten years ago that have made a significant impact on computer vision research. Black shares the award with his former students Deqing Sun (Google) and Professor Stefan Roth (TU Darmstadt) for their paper “Secrets of optical flow estimation and their principles”.
“I am deeply honored to have worked with great students and collaborators like Deqing and Stefan and I thank the Technical Committee for recognizing our work,” said Black, who is now the only researcher to have won all three major test-of-time prizes in the field of computer vision. In 2010, he received the Koenderink Prize at the European Conference on Computer Vision (ECCV). He was also awarded the Helmholtz Prize at the International Conference on Computer Vision (ICCV) in 2013.
The paper addressed the problem of computing motion in video sequences, that is, “optical flow”. It was presented at CVPR in 2010 and has since been widely cited. The researchers carefully evaluated many of the dominant techniques in the field to understand which ones were most important. This revealed that a simple heuristic was a key to accuracy. By formalizing this heuristic, the scientists were able to improve upon it and incorporate it into a principled optical flow algorithm called “Classic+NL”, which was state-of-the-art at the time.
Over the past decade, Michael J. Black has continued to drive groundbreaking research in the field of computer vision forward. He and his Perceiving Systems department have had 57 papers published at CVPR since 2010.
Michael J. Black: https://ps.is.tuebingen.mpg.de/person/black
CVPR 2020: http://cvpr2020.thecvf.com/
Longuet-Higgins Prize: https://www.thecvf.com/?page_id=534
Award-winning paper: http://www.cs.brown.edu/people/dqsun/pubs/cvpr_2010_flow.pdf
Cyber Valley: https://cyber-valley.de/en
Max Planck Institute for Intelligent Systems: https://is.mpg.de/
Amazon Science: https://www.amazon.science/
Deqing Sun: https://deqings.github.io/
Stefan Roth: https://www.visinf.tu-darmstadt.de/team_members/sroth/sroth.en.jsp
Max Planck Institute for Intelligent Systems
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At the Max Planck Institute for Intelligent Systems we aim to understand the principles of Perception, Action and Learning in Intelligent Systems.
The Max Planck Institute for Intelligent Systems is located in two cities: Stuttgart and Tübingen. Research at the Stuttgart site covers small-scale robotics, self-organization, haptic perception, bio-inspired systems, medical robotics, and physical intelligence. The Tübingen site focuses on machine learning, computer vision, robotics, control, and the theory of intelligence.
The Perceiving Systems department combines computer vision, machine learning, and computer graphics to train computers to understand humans and their behavior in images and video. The team’s unique approach begins with learning compact parametric models of 3D human shape and motion. They use these to extract and analyze human behavior in the context of 3D scenes. The department has approximately 45 staff and students and additional affiliated researchers. It operates unique 4D scanning facilities that produce highly accurate and detailed 3D meshes of the body, face, hands, and feet at 60 frames per second. The department also employs wearable motion capture suits, flying robots, and camera-based systems to record human movement.
The MPI-IS is one of the 86 Max Planck Institutes and research institutions that are part of the Max Planck Society. It is Germany’s most successful research organization. Since its establishment in 1948, no fewer than 18 Nobel laureates have emerged from the ranks of its scientists, putting it on a par with the best and most prestigious research institutions worldwide. All Institutes conduct basic research in the service of the general public in the natural sciences, life sciences, social sciences, and the humanities. Max Planck Institutes focus on research fields that are particularly innovative, or that are especially demanding in terms of funding or time requirements. And their research spectrum is continually evolving: new institutes are established to find answers to seminal, forward-looking scientific questions, while others are closed when, for example, their research field has been widely established at universities. This continuous renewal preserves the scope the Max Planck Society needs to react quickly to pioneering scientific developments.