AKSHAY KULKARNI
  • Home
  • Research Experience
  • Projects
    • Mixup-SFDA (ICML22)
    • SFDA-Seg (ICCV21)
    • Sticker-SFDA (ECCV22)
    • SPA-UniDA (NeurIPS22)
    • AST-OCDASeg (AAAI22)
    • Autonomous Driving Platform
    • Semantic Segmentation using PyTorch Lightning
    • Human Activity Recognition using IMU
    • Real-Time Stair Detection
    • Mini-Projects >
      • ESP32 & IMU interfacing with ROS
      • Implementation of DL Models
      • Hand Written Symbol Recognition
      • Wizards' Chess
      • Snake Gaits Implementation
      • Maze Solver
      • Sudoku Solver
    • Simulations >
      • Offboard Control of Pixhawk
      • Turtlesim Experiments
      • 3DOF Robotic Arm
  • Notes

AKSHAY KULKARNI

I am an MS CS student at the Univ. of California, San Diego (UCSD) since Sept. 2022 working with Prof. Tsui-Wei (Lily) Weng on Adversarial Robustness for my MS thesis.

Previously, I was a Project Assistant at Video Analytics Lab, IISc, Bangalore with Prof. R. Venkatesh Babu and his Ph.D. student, Jogendra Nath Kundu.
My major research interests are in the applications of Deep Learning to Computer Vision and Robotics and my recent work has focused on empirical and theoretical aspects of Domain Adaptation.

I completed B. Tech. (Electrical & Electronics Engg.) (2016-20) from Visvesvaraya National Institute of Technology, Nagpur, where
I was a core coordinator at IvLabs (Robotics Club).
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Email | GitHub | Google Scholar | Stack Overflow
News
  • Feb. 2023 - Serving as a reviewer for ICCV 2023 and CoLLAs 2023
  • Nov. 2022 - Serving as a reviewer for CVPR 2023
  • Sept. 2022 - Our paper on Universal Domain Adaptation is accepted at NeurIPS 2022
  • Aug. 2022 - Serving as a reviewer for WACV 2023
  • July 2022 - Our paper on Source-free Domain Adaptation is accepted at ECCV 2022
  • May 2022 - Our paper on Source-free Domain Adaptation is accepted at ICML 2022
  • May 2022 - Serving as an emergency reviewer for ECCV 2022
  • Apr. 2022 - Accepted admit from UCSD for MS CS
  • Apr. 2022 - Serving as a reviewer for NeurIPS 2022
  • Feb. 2022 - Serving as a reviewer for ICML 2022
  • Older news
Selected Publications    *equal contribution
See complete list or Google Scholar page

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Subsidiary Prototype Alignment for Universal Domain Adaptation
J. N. Kundu*, S. Bhambri*, Akshay Kulkarni*, H. Sarkar, Varun Jampani, and R. V. Babu
NeurIPS 2022

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Concurrent Subsidiary Supervision for Unsup. Source-Free Domain Adaptation
J. N. Kundu*, S. Bhambri*, Akshay Kulkarni*, H. Sarkar, Varun Jampani, and R. V. Babu
ECCV 2022

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Balancing Discriminability and Transferability for Source-Free Domain Adaptation
J. N. Kundu*, A. Kulkarni*, S. Bhambri*, D. Mehta, S. Kulkarni, V. Jampani, R. V. Babu
ICML 2022

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Amplitude Spectrum Transformation for Open Compound Domain Adaptation
J. N. Kundu*, Akshay Kulkarni*, S. Bhambri*, Varun Jampani, and R. Venkatesh Babu
AAAI 2022

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Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation
J. N. Kundu*, Akshay Kulkarni*, A. Singh, Varun Jampani, and R. Venkatesh Babu
ICCV 2021

Academic Service
  • Reviewer: WACV22-23, ICML22, ECCV22, NeurIPS22, ACML22, CVPR23, ICCV23, CoLLAs23
  • Sub-reviewer (i.e. assisted supervisor/colleague in reviewing): ICCV21, NeurIPS21, AAAI22, ICLR22, CVPR22, IJCV
  • Workshop papers reviewer: LatinXCV (CVPR22-23, ECCV22), Shift Happens (ICML22), MLRC22, WiCV (CVPR23)
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  • Home
  • Research Experience
  • Projects
    • Mixup-SFDA (ICML22)
    • SFDA-Seg (ICCV21)
    • Sticker-SFDA (ECCV22)
    • SPA-UniDA (NeurIPS22)
    • AST-OCDASeg (AAAI22)
    • Autonomous Driving Platform
    • Semantic Segmentation using PyTorch Lightning
    • Human Activity Recognition using IMU
    • Real-Time Stair Detection
    • Mini-Projects >
      • ESP32 & IMU interfacing with ROS
      • Implementation of DL Models
      • Hand Written Symbol Recognition
      • Wizards' Chess
      • Snake Gaits Implementation
      • Maze Solver
      • Sudoku Solver
    • Simulations >
      • Offboard Control of Pixhawk
      • Turtlesim Experiments
      • 3DOF Robotic Arm
  • Notes