Parth Parag Kulkarni
Ph.D. Student, Center for Research in Computer Vision, University of Central Florida
CRCV, UCF
Orlando, Florida
United States
I am a 5th year Ph.D. Student at the Center for Research in Computer Vision(CRCV), University of Central Florida, advised by Dr. Mubarak Shah. My primary research focuses on Geolocalization, Multimodal Learning Vision Language Models and Multi-agent Frameworks. I have also worked in Federated Learning, Privacy Preserving Computer Vision and Signal Processing.
I graduated with Bachelors in Technology(B. Tech) in Computer Science and Engineering(CSE) from Indian Institute of Technology Patna(IITP) in 2020.
news
| September, 2025 | 🎉 Paper titled GAEA: A Geolocation Aware Conversational Assistant accepted in WACV 2026 (Round 1 - 6.4% Acceptance Rate). 🎉 |
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| July, 2024 | 🎉 Paper titled CityGuessr: City-Level Video Geo-Localization on a Global Scale accepted in ECCV 2024. 🎉 |
| July, 2023 | 🎉 Paper titled Xi-Net: Transformer Based Seismic Waveform Reconstructor accepted in ICIP 2023 (Oral Presentation) 🎉 |
| February, 2023 | 🎉 Paper titled Where We Are and What We’re Looking At: Query Based Worldwide Image Geo-localization Using Hierarchies and Scenes accepted in CVPR 2023. 🎉 |
| July, 2021 | 🏫 Started Ph.D. at Center for Research in Computer Vision, University of Central Florida |
| June, 2021 | 🏆 Achieved US Rank 1 🇺🇸 in International Astronomy and Astrophysics Competition (IAAC) 2021 🔭 (Top 1% in the world) |
| October, 2020 | 🎉 Paper titled DNet: An Efficient Privacy-Preserving Distributed Learning Framework for Healthcare Systems accepted in ICDCIT 2021. 🎉 |
selected publications
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Where we are and what we’re looking at: Query based worldwide image geo-localization using hierarchies and scenesIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023 -
Xi-Net: Transformer based Seismic Waveform ReconstructorIn 2023 IEEE International Conference on Image Processing (ICIP), 2023 -
DNet: An efficient privacy-preserving distributed learning framework for healthcare systemsIn International conference on distributed computing and internet technology, 2020