Microsoft at CVPR 2020
Lieu: Virtual/Online
June 14 | Full Day
International Workshop and Challenge on Computer Vision for Physiological Measurement
Co-Organizer: Daniel McDuff
Joint workshop on Long Term Visual Localization, Visual Odometry and Geometric and Learning-based SLAM
Co-Organizers: Marc Pollefeys, Johannes L. Schönberger, Pablo Speciale
The 1st International Workshop on Agriculture-Vision: Challenges & Opportunities for Computer Vision in Agriculture
Invited speakers and panelists: Ranveer Chandra, Sudipta Sinha
VizWiz Grand Challenge: Describing Images from Blind People
Co-Organizers: Ed Cutrell, Meredith Morris
Invited Speaker: Meredith Morris
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Speaker panel video >
Panel discussion video >
Workshop on Fair, Data-Efficient and Trusted Computer Vision
Invited Speaker: Debadeepta Dey
June 14 | Afternoon
Women in Computer Vision (WiCV)
Co-Organizer: Azadeh Mobasher
June 15 | Full Day
3D Scene Understanding for Vision, Graphics, and Robotics
Invited Speaker: Marc Pollefeys
Fourth Workshop on Computer Vision for AR/VR
Invited Speaker: Jamie Shotton
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New Trends in Image Restoration and Enhancement Workshop and Challenges (NTIRE)
Program Committee Members: Stephen Lin, Wenjun Zeng
June 19 | Morning
Image Matching: Local Features and Beyond
Co-Organizer: Johannes L. Schönberger
June 19 | Full Day
16th IEEE Workshop on Perception Beyond the Visible Spectrum
Program Committee Member: Katsu Ikeuchi
Learning From Unlabeled Videos
Co-Organizer: Yale Song
Computer Vision for Microscopy Image Analysis
Chair: Mei Chen
Program Committee Members: Hao Jiang, Guarav Mittal, Xi Yin
First Workshop on Deep Learning Foundations of Geometric Shape Modeling and Reconstruction
Co-Organizer: Yang Liu
Extreme classification in computer vision
Co-Organizer: Manik Varma
Language & Vision with applications to Video Understanding
Co-Organizer: Licheng Yu
The 3rd Workshop and Prize Challenge: Bridging the Gap between Computational Photography and Visual Recognition (UG2+) in conjunction with IEEE CVPR 2020
Invited Speaker: Xi Yin
Visual Learning with Limited Labels
Accepted Paper: ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification Naoto Usuyama, Natalia Larios Delgado, Amanda K. Hall, Jessica Lundin
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Workshop on Multimodal Learning
Invited Speaker: Andrew Fitzgibbon