Parth Parag Kulkarni

Ph.D. Candidate, Center for Research in Computer Vision, Institute of Artificial Intelligence, University of Central Florida

ParthParagKulkarniPhoto_square.jpg

CRCV, IAI, UCF


Orlando, Florida


United States

I am a Ph.D. Candidate at the Center for Research in Computer Vision(CRCV), Institute of Artificial Intelligence(IAI), 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

June, 2026 🎉 Paper titled Pixel-wise Geo-registration of Drone Images accepted in ECCV 2026. 🎉
June, 2026 👨🏻‍💻 Started summer internship at Roblox, San Mateo, CA
May, 2026 ⭐ Recognized as Gold Reviewer by ICML 2026 Program Chairs
April, 2026 🎉 Paper titled Learning to Share: Selective Memory for Efficient Parallel Agentic Systems accepted in ICML 2026. 🎉
April, 2026 🏫 📜 Became a Ph.D. Candidate at Center for Research in Computer Vision, Institute of Artificial Intelligence, University of Central Florida.
February, 2026 🎉 2 papers titled VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale and VRR-QA: Visual Relational Reasoning in Videos Beyond Explicit Cues (Highlight💥) accepted in CVPR 2026 🎉
September, 2025 🎉 Paper titled GAEA: A Geolocation Aware Conversational Assistant accepted in WACV 2026 (Round 1 - 6.4% Acceptance Rate). 🎉
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

  1. DEDDSEQ_Teaser.jpg
    VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale
    Parth Parag Kulkarni, Rohit Gupta, Prakash Chandra Chhipa, and 1 more author
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026
    arXiv HTML PROCEEDINGS Supp Poster
  2. VRRQA-Teaser.png
    VRR-QA: Visual Relational Reasoning in Videos Beyond Explicit Cues
    Sirnam Swetha, Rohit Gupta, Parth Parag Kulkarni, and 5 more authors
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026
    arXiv HTML PROCEEDINGS DATA Supp Code Poster
  3. Method_page-0001.jpg
    Cityguessr: City-level video geo-localization on a global scale
    Parth Parag Kulkarni, Gaurav Kumar Nayak, and Mubarak Shah
    In ECVA European Conference on Computer Vision, 2024
    arXiv HTML PROCEEDINGS DATA Supp Poster
  4. gaea_teaser.png
    GAEA: A Geolocation Aware Conversational Assistant
    Ron Campos*, Ashmal Vayani*, Parth Parag Kulkarni*, and 4 more authors
    In IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
    arXiv HTML MODEL PROCEEDINGS DATA Supp Code Poster
  5. MedAgent_Teaser.png
    MedRoute: RL-Based Dynamic Specialist Routing in Multi-Agent Medical Diagnosis
    Ashmal Vayani*, Parth Parag Kulkarni*, Joseph Fioresi, and 2 more authors
    2026
    HTML PDF
  6. geodecoder_hierarchy.png
    Where we are and what we’re looking at: Query based worldwide image geo-localization using hierarchies and scenes
    Brandon Clark*, Alec Kerrigan*, Parth Parag Kulkarni, and 2 more authors
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
    arXiv PROCEEDINGS Supp Poster
  7. favourable.png
    Xi-Net: Transformer based Seismic Waveform Reconstructor
    Anshuman Gaharwar*, Parth Parag Kulkarni*, Joshua Dickey, and 1 more author
    In 2023 IEEE International Conference on Image Processing (ICIP), 2023
    arXiv PROCEEDINGS
  8. dnet_binarytree.png
    DNet: An efficient privacy-preserving distributed learning framework for healthcare systems
    Parth Parag Kulkarni, Harsh Kasyap, and Somanath Tripathy
    In International conference on distributed computing and internet technology, 2020
    PROCEEDINGS