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akshaykulkarni07/README.md

About me

I am Akshay R Kulkarni, a first-year PhD student at University of California San Diego (UCSD) where I am working with Prof. Tsui-Wei (Lily) Weng on Interpretable and Robust Machine Learning.

During Summer 2023, I worked as a Research Intern at Sony R&D Center, Tokyo on Labeled Dataset Generation using Generative AI models.

Prior to this, I was a Project Assistant at the Video Analytics Lab, IISc, Bangalore working with Prof. R. Venkatesh Babu and his Ph.D. student, Jogendra Nath Kundu. My work here focused on Domain Adaptation for Object Recognition and Semantic Segmentation.

I completed my undergraduate from Visvesvaraya National Institute of Technology, Nagpur in 2020, where I was a core coordinator at IvLabs (Robotics Lab). I also served as it's Chairman and as the Secretary for the IEEE VNIT Student Branch, both during 2018-19.

For more information on my projects, please visit my website. Do checkout my publications and my notes on research papers that I have read. Feel free to email me for information on my projects and work.

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  1. IvLabs/stagewise-knowledge-distillation IvLabs/stagewise-knowledge-distillation Public

    Code implementation of Data Efficient Stagewise Knowledge Distillation paper.

    Jupyter Notebook 114 7

  2. val-iisc/SFDA-Seg val-iisc/SFDA-Seg Public archive

    Generalize then Adapt: Source-free Domain Adaptation for Semantic Segmentation (ICCV 2021)

    9

  3. val-iisc/MixupDA val-iisc/MixupDA Public

    [ICML22] Balancing Discriminability and Transferability for Source-Free Domain Adaptation

    Python 10 1

  4. IvLabs/autonomous-delivery-robot IvLabs/autonomous-delivery-robot Public

    Repository for Autonomous Delivery Robot project of IvLabs, VNIT

    C++ 69 18

  5. pl-sem-seg pl-sem-seg Public

    PyTorch Lightning based training of Semantic Segmentation models

    Jupyter Notebook 38 3

  6. IvLabs/ResearchPaperNotes IvLabs/ResearchPaperNotes Public

    Initiative to read research papers

    179 37