Microsoft Research @ CVPR 2017
Location: Honoluliu, Hawaii
Venue: Hawaii Convention Center (opens in new tab)
Main Conference: July 22-25, 2017
Tutorials: July 21 and July 26, 2017
Workshops: July 21 and July 26, 2017
Website: CVPR 2017 (opens in new tab)
Computer Vision and Pattern Recognition (CVPR) is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.
Microsoft Cocktail Party at CVPR 2017
Join us for an evening cocktail event and meet our scientists, engineers, and researchers focused on solving challenges in computer vision.
General chair
- Zhengyou Zhang, Microsoft Research
Keynote
- Harry Shum, Executive Vice President, Artificial Intelligence and Research Group, Microsoft
Microsoft attendees
- Andrew Fitzgibbon
- Federica Bogo
- Nick Burton
- Tom Cashman
- Gang Hua
- Jifeng Dai
- Brent Ellwein
- Jingdong Wang
- Jiaolong Yang
- Jamie Shotton
- Erroll Wood
- Jingjing Shen
- Marta Wilczkowiak
- Leonardo Nunes
- Cha Zhang
- Harry Shum
- Sam Johnson
- Kelly Freed
- Yijie Wang
- Yogeshwar Nagaraj
- Youding Zhu
- Zicheng Liu
- Andrew Duan
- Sing Bing Kang
- Patrick Buehler
- Steve Anderson
Tutorials
- Large-Scale 3D Modeling from Crowdsourced Data Jan-Michael Frahm, Enrique Dunn, Marc Pollefeys (Partner Director Of Science, Microsoft), Jared Heinly, Johannes L. Schönberger
- Geometric and Semantic 3D Reconstruction Christian Häne, Sudeep Pillai, Srikumar Ramalingam, Sudipta Sinha (Microsoft Research)
- Towards Next Generation Deep Learning Framework: An Introduction to MXNet Naiyan Wang, Mu Li (Microsoft Research)
- Computer Vision on Microsoft HoloLens Marc Pollefeys (Microsoft), Georg Klein (Microsoft), Christopher Mei (Microsoft), Pawel Olszta (Microsoft), Zolt Mathe, Sundipta Sinha
- Scalable Deep Learning with Microsoft Cognitive Toolkit Emad Barsoum (Microsoft Research), Sayan Pathak (Microsoft Research), and Cha Zhang (Microsoft Research)
Paper legends – card game
Download your own print at home version of the Computer Vision Paper Legends game here (PDF): Part 1 Part 2