ECCV 2020 Daily - Wednesday

2 Simon's Picks For Today, Wednesday 26 th Simon Castle-Green is a 2nd year PhD student in the Computer Vision Lab at the University of Nottingham. He has previously had a successful career as a software engineer and completed a Master’s in Computer Science (Artificial Intelligence) in 2017. “My doctoral research involves utilising deep learning to assist with image-based phenotyping of rice plants, currently focusing on generating pollen viability counts from microscope images. As a father of a young child I realise the significance of the forthcoming global food security challenges that we face and so having the opportunity to undertake research in a subject which contributes towards addressing these challenges really excites me.” Simon’s Picks of the day: Poster: • Vishwanath A. Sindagi - Learning to Count in the Crowd from Limited Labeled Data - #3243 Spotlight: • Richard Droste - Unified Image and Video Saliency Modeling - #2345 Orals: • Mark Sheinin - Diffraction Line Imaging - #2323 • Zhenda Xie - Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation - #3068 • Rico Jonschkowski - What Matters in Unsupervised Optical Flow - #3196 ECCV Daily Publisher: RSIP Vision All rights reserved Unauthorized reproduction is strictly forbidden. Designer: Rotem Sahar Our editorial choices are fully independent from ECCV and the conference organizers. “It’s a shame that the current situation prevents ECCV2020 from being run in a physical capacity ; however, it’s still an honour to be able to present our research in Friday’s Computer Vision Problems in Plant Phenotyping workshop. ” DAILY W e d n e s d a y Read the Brilliant Review with Rico Jonschkowski on page 4!