Ariel AI has been founded by world experts in human pose estimation, with credentials from Google, Facebook, Imperial College and UCL. Join us if you want to be part of the world's leading team in human understanding.
Iasonas Kokkinos obtained his PhD in electrical engineering and computer science in 2006 from the National Technical University of Athens (NTUA), Greece. He has been leading a computer vision research group since 2008, originally in CentraleSupelec/INRIA and currently in University College London. Before joining Ariel AI, he was also working as a research scientist with Facebook AI Research (FAIR). His work focuses on holistic solutions to vision, including generic multi-tasking models (DeepLab, UberNet) as well as human understanding (DenseReg, DensePose, HoloPose).
George Papandreou holds a PhD in electrical engineering and computer science from the National Technical University of Athens (NTUA), Greece. He did postdoctoral research at the University of California, Los Angeles (inventing the Perturb-and-MAP machine learning model) and was a research faculty at the Toyota Technological Institute, Chicago. Before joining Ariel AI, he was a senior research scientist at Google AI, spearheading work on semantic image segmentation (DeepLab) and human pose estimation (PersonLab). He has co-organized a series of NIPS Workshops on Perturbations, Optimization, and Statistics and co-edited an MIT Press book on the same topic. He is a Senior Member of the IEEE.
Riza Alp Guler has received his Ph.D. degree in 2019 from INRIA and École Centrale Paris. He is also a postdoctoral researcher at Imperial College London. His research interests lie in deep learning and deformable geometry understanding from images. His works on human geometry estimation, “DenseReg”, “DensePose” and “HoloPose”, have been key developments in the field, enabling a diverse set of human-related AR/VR applications.
Stefanos Zafeiriou is currently also a Reader in Machine Learning and Computer Vision with the Department of Computing, Imperial College London, leading a world-renowned group in Machine Learning for Human Sensing. He has more than 7,000 citations to his work and more than 200 publications in the top venues of the field such as CVPR, ICCV, and ICML.
Ernesto is a seasoned entrepreneur in media and tech. He's created and run half a dozen ventures over the past 20 years, with successful exits including to Twitter, Intel and Coty. Beyond Ariel AI, Ernesto chairs a selection of ML ventures looking to break new ground in how technology and the physical world interact. He is also co-founder and managing partner at The Craftory, a $375M investment house dedicated to backing challenger brands in consumer goods.
Haoyang Wang receieved a bachelor degree on Computer Science with Artificial Intelligence from the University of Nottingham, and a MSc degree on Machine Learning from Imperial College London. She is currently a PhD student at the Department of Computing, Imperial College London, under the supervision of Dr. Stefanos Zafeiriou. Her research interest is 3D computer vision for human body reconstruction, shape and pose estimation.
Dan works on the applications of Ariel AI's technology, and research into relevant computer vision methods. Dan came to computer vision after spending several years as a product manager in the entertainment industry, originally having trained as a physicist. Outside of work, Dan enjoys rock climbing and learning languages.
Dominik Kulon has started a PhD degree at Imperial College London after completing a Master of Research programme at the same institution. His research is funded by the EPSRC and supervised by Prof. Michael Bronstein and Dr. Stefanos Zafeiriou. He is interested in geometric deep learning and its applications for designing virtual humans. Dominik’s works proposed systems for hand model reconstruction and shape estimation from a single image.
Efstratios Skordos received his Diploma in Electrical and Computer Engineering from the Aristotle University of Thessaloniki, Greece in 2011. He has since worked as a research assistant at the Electrical Engineering Department of Imperial College London (2012-2014) and at the Multimedia and Vision Research Group of Queen Mary University London (2014). He is currently a PhD student in the Computer Science Department of University College London (UCL). His main research interests are computer vision and machine learning.
Himmy Tam has received his B.Eng. degree in Electrical and Electronics Engineering from University of Glasgow, 2018. He is currently enrolled as a Machine Learning M.Sc. student at Imperial College London. His research interests lie in training human understanding systems and photorealistic synthetic data generation.