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    Deep Learning for Hand-drawn Sketches: Analysis, Synthesis and Cognitive Process Models 

    Sarvadevabhatla, Ravi Kiran
    Deep Learning-based object category understanding is an important and active area of research in Computer Vision. Most work in this area has predominantly focused on the portion of depiction spectrum consisting of ...

    A study on Deep Learning Approaches, Architectures and Training Methods for Crowd Analysis 

    Sam, Deepak Babu
    Analyzing large crowds quickly is one of the highly sought-after capabilities nowadays. Especially in terms of public security and planning, this assumes prime importance. But automated reasoning of crowd images or videos ...

    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 ...

    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 ...

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    AuthorKundu, Jogendra Nath (1)Ram Prabhakar, Kathirvel (1)Sam, Deepak Babu (1)Sarvadevabhatla, Ravi Kiran (1)Seth, Siddharth (1)Subject
    Computer Vision (5)
    Deep Learning (5)TECHNOLOGY (4)Convolutional Neural Network (3)3D Human Pose Estimation (2)Self-Supervised Learning (2)AdaDepth (1)Computational Photography (1)Computer Science (1)Crowd Analysis (1)... View MoreHas File(s)Yes (5)

    etd@IISc is a joint service of SERC & J R D Tata Memorial (JRDTML) Library || Powered by DSpace software || DuraSpace
    Contact Us | Send Feedback | Thesis Templates
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