Research Summary
My research areas are computer vision and machine learning. My current focus is on Bayesian nonparametric methods, geometric methods, and deep learning. I'm particularly interested in problems and applications in unsupervised or semi-supervised settings.Current research topics (with plenty of overlap)
- scalable Bayesian nonparametric methods;
- deep clustering;
- tracking and video analysis;
- segmentation;
- image alignment;
- out-of-distribution detection;
- underwater computer vision;
- time-series analysis;
- geometry in deep learning.