We are delighted to announce the third London Computer Vision meetup which will take place Wednesday the 24th of January at 6pm.
Location: One Alfred Place - 2nd Floor / WC1E 7EB
18:00: Doors open
19:00 - 19:45: 1st talk
20:00 - 20:45: 2nd talk
A limited amount of pizza and beer will be provided on a ‘first-come-first-served’ basis - and food will be available to order on the day.
Remember to sign up here.
Abstract: As humans we take the ability to perceive the dynamic world around us in three dimensions for granted. From an early age we can grasp an object by adapting our fingers to its 3D shape; we can understand our mother’s feelings by interpreting her facial expressions; or we can effortlessly navigate through a busy street. All of these tasks require some internal 3D representation of shape, deformations and motion.
Building algorithms that can emulate this level of human 3D perception has proved to be an extremely hard task. In this talk I will show progress from our early systems which captured sparse 3D models with primitive representations of deformation towards our most recent algorithms which can capture every fold and detail of hands or faces in 3D using as input video sequences taken with a single consumer camera. There is now great short-term potential for commercial uptake of this technology, and I will show applications to robotics and to AI-driven video synthesis.
Bio: Prof. Lourdes Agapito is Scientific Advisor and co-founder at Synthesia. She obtained her BSc, MSc and PhD (1996) degrees from the Universidad Complutense de Madrid (Spain). She held an EU Marie Curie Postdoctoral Fellowship at The University of Oxford's Robotics Research Group before being appointed as a Lecturer at Queen Mary, University of London in 2001. In 2008 she was awarded an ERC Starting Grant to carry out research on the estimation of 3D models of non-rigid surfaces from monocular video sequences. In July 2013 she joined the Department of Computer Science at University College London (UCL) where she leads a research team that focuses on 3D dynamic scene understanding from video. Her research portfolio has included funding from the European Union's ERC, FP7 and H2020 programmes, EPSRC and the Royal Society, as well as industrial funding from Microsoft Research and Huawei.
Lourdes was Program Chair for CVPR 2016; in addition she was Programme Chair for 3DV'14, Workshops Chair for ECCV'14 and has served as Area Chair for CVPR, ECCV, ACCV and BMVC, the top conferences in Computer Vision. Lourdes is Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) and the International Journal of Computer Vision (IJCV), a member of the Executive Committee of the British Machine Vision Association and a member of the EPSRC Peer Review College.
Abstract: There is a great deal of excitement and controversy in the potential of machine learning and artificial intelligence applied to healthcare. Will ML/AI cure cancer? Will it replace doctors? In this talk, I'll discuss some of the real world applications of such technologies and go into some depth on two particular areas: stratification of patients with possible lung cancer and management of patients with chronic back pain. Both will be based around medical imaging and I'll discuss what ML/AI can provide beyond what has been possible to date and its impact on the role of clinicians.
Bio: Timor Kadir graduated with an MEng in Electrical and Electronic Engineering from Surrey University in 1996 and studied for a DPhil at University of Oxford under Sir Michael Brady.
He joined CTI/Siemens as a Research Scientist working on computer vision software and in 2009, during a management buy-out, Timor became CTO for Mirada Medical. Most recently, he founded Optellum, a company delivering machine learning based clinical risk stratification. He is currently the CTO of Optellum and visiting fellow at Oxford. He’s published a reasonable number of papers, filed a bunch of patents and his h-index isn’t bad either.