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I am a Project Assistant at Video Analytics Lab, IISc, Bangalore under the supervision of 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.
I completed my B. Tech. (EEE) (2016-20) from Visvesvaraya National Institute of Technology, Nagpur, where I was a core coordinator at IvLabs (Robotics Club). I served as the Chairperson of IvLabs and as the Secretary of the IEEE Student Branch for 2018-19. |
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News
- Dec. 2021 - Our paper on Open Compound Domain Adaptive Semantic Segmentation is accepted at AAAI 2022
- Sept. 2021 - Serving as reviewer in the 2nd round of WACV 2022
- July 2021 - Our paper on Source-free Domain Adaptive Semantic Segmentation is accepted at ICCV 2021
- July 2021 - Our results paper on Video Generation is published in PMLR
- Mar. 2021 - Bachelors' thesis on Autonomous Delivery Robot posted to arXiv
- Oct. 2020 - Our proposal paper on Video Generation is accepted at Pre-registration Workshop, NeurIPS 2020
Publications *equal contribution
In reverse chronological order:
In reverse chronological order:
- Jogendra Nath Kundu*, Akshay Kulkarni*, Suvaansh Bhambri*, Varun Jampani, and R. Venkatesh Babu, Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation, AAAI 2022 [Project Page] [more details coming soon]
- Jogendra Nath Kundu*, Akshay Kulkarni*, Amit Kumar Singh, Varun Jampani, and R. Venkatesh Babu, Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation, ICCV 2021 [CVF Landing Page] [arXiv] [Project Page] [Poster]
- Rishika Bhagwatkar, Khurshed Fitter, Saketh Bachu, Akshay Kulkarni, Shital Chiddarwar, Paying Attention to Video Generation, NeurIPS 2020 Workshop on Pre-registration in Machine Learning, PMLR 148:139-154 [PMLR Landing Page] [PDF]
- Aniket Gujarathi, Akshay Kulkarni, Unmesh Patil, et al., Design and Development of Autonomous Delivery Robot, 2021, Arxiv:2103.09229 [cs.RO] [Bachelor's Thesis] [arXiv] [Code]
- Akshay Kulkarni*, Navid Panchi*, Sharath Chandra Raparthy, Shital Chiddarwar, Data Efficient Stagewise Knowledge Distillation, 2019, Arxiv:1911.06786 [cs.LG] [arXiv] [Code]
- Unmesh Patil, Aniket Gujarathi, Akshay Kulkarni, et al., Deep Learning based Stair Detection and Statistical Image Filtering for Autonomous Stair Climbing, IEEE International Conference on Robotic Computing (IRC), 2019 [IEEEXplore] [Code]
