Computer Vision and Machine Learning Summit

MAY 2, 2023, DUBAI
Museum of the Future, auditorium

ABOUT MCS

MCS is an international summit organized by the company Polynome with the aim to exchange and advance knowledge through interaction among AI communities. We share the latest ideas and trends in Computer Vision and Artificial Intelligence.

Speakers

Serge
Belongie

Professor at University of Copenhagen

His research interests include Computer Vision, Machine Learning, Crowdsourcing and Human-in-the- Loop Computing. He is also a co- founder of several companies including Digital Persona, Anchovi Labs (acquired by Dropbox) and Orpix.

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Daniel
Cremers

Professor at Technical University of Munich, Director and co-Founder at Artisense

His research interests are computer vision, machine learning & deep networks, mathematical image analysis, shape analysis, autonomous systems & selfdriving cars, variational methods and partial differential equations, convex and combinatorial optimization & statistical inference.

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Fernando
De la Torre

Professor at Carnegie Mellon University

His research interests are in the fields of Computer Vision and Machine Learning. In particular, applications to human health, and AR/VR. He has published over 225 peer-review conference papers/journals. In 2014 he founded FacioMetrics LLC to license technology for facial image analysis (acquired by Meta).

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Bernard
S. Ghanem

Professor at King Abdullah University of Science and Technology

His research interests lie in computer vision and machine learning with emphasis on topics in video understanding, 3D recognition, and theoretical foundations of deep learning. He has co-authored more than 120 research papers in his field as well as three issued patents.

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Hao
Li

Associate Professor at Mohamed bin Zayed University of Artificial Intelligence

His works focus on photorealistic human digitization using deep learning and data-driven techniques. Li known for his work on dynamic geometry processing, virtual avatar creation, facial performance capture, AI-driven 3D shape digitization, and deep fakes.

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Manohar
Paluri

Senior Director at Meta

Manohar’s experience spans Computer Vision, Robotics, Machine Learning. In his current group he pushes the frontiers of image, video and multi-modal understanding for the benefit of various products at Meta as well as the research community at large.

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Marc
Pollefeys

Professor at ETH Zürich, Director of the Microsoft Mixed Reality and AI Lab

He is best known for his work in 3D computer vision, having been the first to develop a software pipeline to automatically turn photographs into 3D models, but also works on robotics, graphics and machine learning problems. Most recently his academic research has focused on combining 3D reconstruction with semantic scene understanding.

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Philip
Torr

Professor at Oxford University, Co-Founder at Aistetic, Oxsight, Chief Scientist at FiveAI

His research has been on computer vision, pioneering work in object recognition, and segmentation, 3D reconstruction, tracking and scene understanding, for which he has won several awards including the Marr prize.

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Organizing committee

Alexander Khanin

Founder at INTEMA

Alexander Khanin is a serial entrepreneur and artificial intelligence (AI) technology expert. He is the founder of INTEMA S.a.r.l – a tech start-up accelerator, corporate venture fund and a consultant with a global outreach and success stories in AI & DeepTech. Alexander founded Machines Can See summit with a vision of bringing top AI researchers and businesses together in their effort of building ethical AI solutions that benefit society

Ivan
Laptev

Research Director at Inria Paris

His research is focused on visual interpretation of dynamic scenes, learning from vision and text, vision-language navigation and manipulation, and robotics. Ivan Laptev is most known for his work on human action recognition. He has co-organized major vision conferences and co-founded a successful computer vision startup

Sergey
Kolyubin

Advisory board member at INTEMA

Professor in Control Systems and Robotics, and Head of BE2R International Lab. He worked as an invited researcher for GM Main R&D Center, NTNU (Norway), IRCCyN (France), HDU (China). Co-author of 100+ papers for journals and major conferences. His areas of expertise include optimization-driven and adaptive motion control, robot generative design, robust and metric-semantic SLAM and 3D reconstruction

Competition

One of summit activities is a visual product recognition challenge. The task is to make descriptive algorythms aimed to distinguish different types of objects depicted on photos. Prize fund is $15 000

Results