Computer Vision and Machine Learning Summit
MAY 2, 2023, DUBAI
Museum of the Future, auditorium
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.
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.
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.
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).
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.
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.
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.
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.
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.
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
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
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
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
- May 2
Registration + welcome breakfast
Two Talks on Computer Vision
Government + Business and Science Panel
Two Talks on Computer Vision
Competition Awarding Ceremony
Three Talks on Computer Vision
Educational Panel Session
Museum of the Future, Auditorium
Sheikh Zayed Road
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