Experience
Education
Bio
Research Interests
ˆ Understanding the Visual World: Learning representations, recognizing objects,
and modeling geometry.
ˆ Self-Supervised Learning: Developing tasks that drive visual learning without requiring manual annotation.
ˆ Visual Data Mining & Visualization: Discovering the objects, object parts, and
other patterns from visual data without human intervention.