LondonCV - London's Computer Vision Meetup

Hi again!

Our January meetup is coming next week, once again with a very strong lineup. Please make sure to signup.

Speaker 1: Prof. Niloy J. Mitra - UCL

Bio: Niloy Mitra is a Professor of Geometry Processing in the Department of Computer Science, University College London (UCL). He received his MS and PhD in Electrical Engineering from Stanford University under the guidance of Leonidas Guibas and Marc Levoy, and was a postdoctoral scholar with Helmut Pottmann at Technical University Vienna. His research interests include shape analysis, computational design and fabrication, and geometry processing.

Niloy received the 2013 ACM Siggraph Significant New Researcher Award for "his outstanding work in discovery and use of structure and function in 3D objects" (UCL press release) and the BCS Roger Needham award (BCS press release) in 2015. He received the ERC Starting Grant on SmartGeometry in 2013. His work has twice been featured as research highlights in the Communications of the ACM, twice been selected by ACM Siggraph/Siggrraph Asia (both in 2017) for press release as research highlight. Besides research, Niloy is an active DIYer and loves reading, bouldering, and cooking.

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Speaker 2: Dr. James Hennessey - Pupil

Bio: James Hennessey is the Head of Computer Vision at Pupil, a spatial technology company who capture and publish 3D information about real-world interiors. He has an Engineering Doctorate in Virtual Environments, Imaging and Visualization from University College London. Previously James worked for Adobe Research and Disney Research where he worked across computer vision, computer graphics and human-computer interaction.
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Location: RocketSpace, 40 Islington High St, London N1 8EQ

18:30: Doors open / meet and greet

19:00 - 19:30: 1st talk

19:45 - 20:15: 2nd talk

20:30: Close

Register on website at LondonCV.ai (http://londoncv.ai/)

Follow on Twitter at LondonCV (https://twitter.com/LondonCV)

Watch previous talks on https://www.youtube.com/channel/UCRwkk9f5ZZDLJWsikYQAP_g

Email us at team@londoncv.ai

Enjoy!