Browsing Department of Computational and Data Sciences (CDS) by Subject "Convolutional Neural Network"

Now showing items 1-3 of 3

    • Advances in High Dynamic Range Imaging Using Deep Learning 

      Ram Prabhakar, Kathirvel
      Natural scenes have a wide range of brightness, from dark starry nights to bright sunlit beaches. Our human eyes can perceive such a vast range of illumination through various adaptation techniques, thus allowing us to ...

    • 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 ...