CVPR Daily - 2019 Thursday

Tetiana’s picks of the day: Tetiana Martyniuk is currently working as a Machine Learning Researcher at Let's Enhance, leading the research projects on image restoration and enhancement (super-resolution, colour enhancement, textures restoration, etc.). "I have pure mathematical background, and I graduated recently with a Master's degree in Data Science from UCU (Ukrainian Catholic University), working primarily on low-level computer vision tasks. My thesis was focused on multi-task learning for image restoration tasks". "It's the first time for me at CVPR, and it is so huge this year, especially in comparison to the conferences that I've attended in Europe in the past. It is definitely worth coming, and my favourite part is communication with the authors directly during the poster session, being able to dig deeper into the details and get valuable insights". "Three spare time activities that you might catch me in the middle of would be travelling around Europe (not hitchhiking anymore, though I really miss it), reading fiction literature, and drinking wine. What else does one need, right?" Orals: 3.1A- 194 Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video … 3.2C-152 Unprocessing Images for Learned Raw Denoising 3.2C-156 Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations Posters: 3.1-9 Attention- Based Adaptive Selection of Operations for Image Restoration … 3.1-37 Deformable ConvNets V2: More Deformable, Better Results 3.1-206 Fast Spatio-Temporal Residual Network for Video Super-Resolution For today, Thursday 20 2 Tetiana’s Picks DAILY CVPR Thursday