217 citations · 345 across the 12 of their papers we have counts for
3 papers · 1 filter
Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan?
Bilwaj Gaonkar, Matthew Edwards, Alex Bui +2
Yes, it can. Data augmentation is perhaps the oldest preprocessing step in computer vision literature. Almost every computer vision model trained on imaging data uses some form of…
Learning to Segment via Cut-and-Paste
Tal Remez, Jonathan Huang, Matthew Brown
This paper presents a weakly-supervised approach to object instance segmentation. Starting with known or predicted object bounding boxes, we learn object masks by playing a game of…
Frame-Recurrent Video Super-Resolution
Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown
Recent advances in video super-resolution have shown that convolutional neural networks combined with motion compensation are able to merge information from multiple low-resolution…