Tutorials
Program Guide
Program Summary
Short courses and tutorials will be collocated with the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017). Short Courses and tutorials will take place on July 21 and 26, 2017 at the same venue as the main conference. CVPR short courses and tutorials aim to provide a comprehensive overview of specific topics in computer vision.
Each workshop/tutorial will set their own schedule which can be found on their weblink provided. The general schedule will be as follows:
- 10:00 AM -10:45 AM Morning break
- 12:00 PM - 1:30 PM Lunch
- 3:30 PM - 4:15 PM Afternoon break
For any questions, please contact the workshop chairs, Robert Pless and David Crandall, at cvpr-2017-tutorials@googlegroups.com.
Time |
Title |
Proposers |
|---|---|---|
| 7/21/2017 (full day) | Large-Scale 3D Modeling from Crowdsourced Data | Jan-Michael Frahm, Enrique Dunn, Marc Pollefeys, Jared Heinly, Johannes L. Schönberger |
| 7/21/2017 (AM only) | Computer Vision for Automated Driving in MATLAB | Witek Jachimczyk, Anand Raja, Avi Nehemiah |
| 7/21/2017 (AM only) | DIY A Multiview Camera System: Panoptic Studio Teardown | Hanbyul Joo, Tomas Simon, Hyun Soo Park, Shohei Nobuhara, Yaser Sheikh |
| 7/21/2017 (AM only) | Mathematics of Deep Learning | Rene Vidal, Joan Bruna, Raja Giryes |
| 7/21/2017 (AM only) | Spectral methods for 3D data analysis | Prof. Alexander Bronstein, Michael Bronstein, Maks Ovsjanikov |
| 7/21/2017 (PM only) | Dealing with Reality: Low-Quality Visual Data Processing and Analytics | Zhangyang (Atlas) Wang, Haichao Zhang Jiebo Luo |
| 7/21/2017 (PM only) | Deep Learning for Objects and Scenes | Bolei Zhou, Prof. Xiaogang Wang, Ross Girshick, Kaiming He |
| 7/21/2017 (PM only) | Geometric deep learning on graphs and manifolds | Prof. Michael Bronstein, Prof. Joan Bruna, Prof. Arthur Szlam, Prof. Xavier Bresson Prof. Yann LeCun |
| 7/21/2017 (PM only) | Local Feature Extraction and Learning for Computer Vision | Bin Fan, Jiwen Lu, Pascal Fua |
| 7/21/2017 (PM only) | Motion Averaging: A Framework for Efficient and Accurate Large-Scale Camera Estimation in 3D Vision | Venu Madhav Govindu |
| 7/26/2017 (AM only) | OpenCV 3.x New Functionality & Optimizations | Vadim Pisarevsky, Yury Gorbachev, Alexander Alekhin |
| 7/26/2017 (full day) | Geometric and Semantic 3D Reconstruction | Christian Häne, Jakob Engel, Srikumar Ramalingam, Sudipta Sinha |
| 7/26/2017 (AM only) | Towards Next Generation Deep Learning Framework: An Introduction to MXNet | Naiyan Wang, Mu Li |
| 7/26/2017 (AM only) | Large-Scale Visual Place Recognition and Image-Based Localization | Torsten Sattler, Akihiko Torii, Alex Kendall, Giorgos Tolias |
| 7/26/2017 (AM only) | Computer Vision on Microsoft HoloLens | Marc Pollefeys, Georg Klein, Michael Gourlay, Pawel Olszta, Zolt Mathe, Sundipta Sinha |
| 7/26/2017 (AM only) | Anomaly Detection: A novel framework | Josef Kittler |
| 7/26/2017 (PM only) | 3D Deep Learning | Leonidas Guibas, Michael Bronstein, Evangelos Kalogerakis, Qixing Huang, Jimei Yang,Hao Su, Charles Qi |
| 7/26/2017 (PM only) | Scalable Deep Learning with Microsoft Cognitive Toolkit | Emad Barsoum, Sayan Pathak and Cha Zhang, |
| 7/26/2017 (PM only) | Theory and Application of Generative Adversarial Network | MingYu Liu, Jan Kautz, Julie Bernauer |
| 7/26/2017 (PM only) | Zero-Shot Learning for Computer Vision | Dr. Thomas Mensink, Efstratios Gavves, Cees G.M. Snoek |