CVPR'20 and therefore also EarthVision'20 were fully virtual. For regular papers, we followed the CVPR schedule: Each paper was presented by a pre-recorded video that was accessible throughout the WS. Questions and comments to the authors wwere made via a text-based chat (also available throughout the WS) as well as during two live video sessions 12h apart. The times below are local times for Seattle of the first round. The second round starts exactly 12h later.
The opening and closing sessions as well as most of the keynotes were live, i.e. there is no prerecorded video but a live virtual session for the presentation as well as to interact with the presenters. The keynotes were given only during the first round, i.e. there was no second live presentation in the second round after 12h. One keynote was given as video with no Q&A session.
All material has been made available to the registered attendees via a webpage administered by CVPR. Only the session for the SpaceNet6 challenge is hosted externally.
08:30 - 08:40 Welcome
08:45 - 09:25 Keynote 1
Markus Reichstein, Max Planck Institute, Germany
(Live talk + Q&A, only in the first round)
09:30 - 10:30 Q&A Session 1 - Applied Deep Learning
(Video + live Q&A, both rounds)
Corinne Stucker (ETH Zurich); Konrad Schindler (ETH Zurich)
ResDepth: Learned Residual Stereo Reconstruction
Rasha Alshehhi (NYU)
Deep Regression for Imaging Solar Magnetograms using Pyramid Generative Adversarial Networks
Armin Hadzic (University of Kentucky); Hunter Blanton (University of Kentucky); Weilian Song (Simon Fraser University); Mei Chen (University of Kentucky); Scott Workman (DZYNE Technologies); Nathan Jacobs (University of Kentucky)
RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery
Nina Varney (University of Dayton); Vijayan K Asari (University of Dayton); Quinn Graehling (University of Dayton)
DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation
Weikai Tan (University of Waterloo); Li Jonathan (Xiamen University)
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
Derrick J Bonafilia (Cloud to Street); Tyler Anderson (Cloud to Street); Erica Issenberg (Cloud to Street); Beth Tellman (Cloud to Street)
Sen1Floods11: a georeferenced dataset to train and test deep learning flood algorithms for Sentinel-1
10:30 - 11:00 Break
11:00 - 11:35 Keynote 2
Sveinung Loekken, ESA
Title: The Contours of a trillion-pixel Digital Twin Earth
(Live talk + Q&A, only in the first round)
11:40 - 12:40 SpaceNet 6 Challenge
Jacob Shermeyer, Daniel Hogan, Jason Brown, Adam Van Etten, Nicholas Weir, Fabio Pacifici, Ronny Hansch, Alexei Bastidas, Scott Soenen, Todd Bacastow, Ryan Lewis
SpaceNet 6: Multi-Sensor All Weather Mapping Dataset
12:40 - 14:00 Break
14:00 - 14:30 Keynote 3
Serge Belongie, Cornell Tech., USA
Title: A New Workflow for Collaborative Machine Learning
Research in Biodiversity
(Live talk + Q&A, only in the first round)
14:35 - 15:45 Q&A Session 2 - Synthesis and Semantic Analysis
(Video + live Q&A, both rounds)
Changlin Li (UNCC Vision lab); Taojiannan Yang (UNC Charlotte); Sijie Zhu (University of North Carolina at Charlotte); Chen Chen (University of North Carolina at Charlotte); Shanyue Guan (East Carolina University)
Density Map Guided Object Detection in Aerial Images
Onur Tasar (INRIA); Yuliya Tarabalka (Inria Sophia-Antipolis); Alain Giros (CNES); Pierre Alliez (INRIA Sophie-Antipolis, France); Sébastien Clerc (ACRI-ST)
StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization
Saqib Ali Khan (School of Electrical Engineering and Computer Sciences, NUST); Yilei Shi (Technical University of Munich); Muhammad Shehzad (School of Electrical Engineering and Computer Sciences, NUST); Xiaoxiang Zhu (Technical University of Munich (TUM); German Aerospace Center (DLR))
FGCN: Deep Feature-based Graph Convolutional Network for Semantic Segmentation of Urban 3D Point Clouds
Marc Rußwurm (Technical University of Munich); Sherrie Wang (Stanford University); Marco Körner (Technical University of Munich); David Lobell (Stanford University)
Meta-Learning for Few-Shot Land Cover Classification
Litu Rout (Space Applications Centre, Indian Space Research Organisation); Indranil Misra (ISRO); Manthira Moorthi S (ISRO); Debajyoti Dhar (ISRO)
S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis
Litu Rout (Space Applications Centre, Indian Space Research Organisation); Saumyaa Shah (Nirma University); Manthira Moorthi S (ISRO); Debajyoti Dhar (ISRO)
Monte-Carlo Siamese Policy on Actor for Satellite Image Super Resolution
Md Rifat Arefin (Mila); Vincent Michalski (Mila); Pierre-Luc St-Charles (MILA); Alfredo Kalaitzis (Element AI); Sookyung Kim (Lawrence Livermore National Laboratory); Samira Ebrahimi Kahou (McGill/Mila); Yoshua Bengio (Mila)
Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent Networks
15:45 - 16:00 Break
16:00 - 16:40 Keynote 4
Maros Blaha, Apple
Title: Towards Large-Scale Remote Sensing of Human Habitats
(Video, no Q&A)
16:40 - 17:00 Awards & Closing
(Live, both rounds)
