Browsing Department of Computational and Data Sciences (CDS) by Subject "3D Human Pose Estimation"

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    • Learning to Perceive Humans From Appearance and Pose 

      Seth, Siddharth
      Analyzing humans and their activities takes a central role in computer vision. This requires machine learning models to encapsulate both the diverse poses and appearances exhibited by humans. Estimating the 3D poses of ...

    • Self-Supervised Domain Adaptation Frameworks for Computer Vision Tasks 

      Kundu, Jogendra Nath
      There is a strong incentive to build intelligent machines that can understand and adapt to changes in the visual world without human supervision. While humans and animals learn to perceive the world on their own, almost ...