My main research interest is in developing machine learning techniques suitable for solving high-level computer vision tasks, such as image classification and object recognition.
High-level computer vision tasks are a unique source of hard machine learning problems for three reasons. First, in contrast to physics-based processes we do not know the correct model (model uncertainty). Second, humans excel at all high-level vision tasks and thus can provide data and assess model performance (ground truth oracle). Third, image and video data is available for free at an enormous scale (data availability). These properties make computer vision a particularly attractive area for machine learning research.
I am particularly interested in using mathematical optimization as a tool to solve computer vision machine learning tasks.