Research

My research lies at the intersection of Computer Vision, Geometry, and Machine Learning, with a long-term aim of developing intelligent models that emulate the human visual system. Integrating vision (comprehending the visual world) with geometry (representing the structure of objects in space) is essential for developing machine learning models that can interpret and reason about 3D environments from visual data. In the short term, my research mainly focuses on data-efficient deep learning, and deep learning for 3D vision.