Computational methods in stereoscopic imaging and other depth from X, recognition, and understanding.
Finding computational methods for matching and analysis of non-rigid shapes. From a computational point of view we cannot use convolution here, so we design and explore other deep learning venues.
Using H&E-stained histology slides to predict treatment outcomes for efficient cancer treatment. We use all variations of deep learning (mainly CNNs).
