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    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 ...

    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 ...

    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 ...

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    AuthorKundu, Jogendra Nath (1)Ram Prabhakar, Kathirvel (1)Seth, Siddharth (1)SubjectComputer Vision (3)
    Convolutional Neural Network (3)
    Deep Learning (3)3D Human Pose Estimation (2)Self-Supervised Learning (2)TECHNOLOGY (2)AdaDepth (1)Computational Photography (1)Computer Science (1)Dense Vision Tasks (1)... View MoreHas File(s)Yes (3)

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