| CV | Google Scholar | GitHub | Blog |
Researcher working in the areas of computer vision and geometric deep learning.
Currently, I’m working with Dr Charu Sharma at Machine Learning Lab, IIIT Hyderabad. Previously, I was fortunate to be advised by Prof Madhava Krishna as an MS by Research student at Robotics Research Center. I did my Bachelor’s degree at Birla Institute of Technology & Science, Pilani (BITS Pilani).
Areas worked on: Foundation models for visual place recognition; LiDAR Image Pretraining for localization; Graph Variational Autoencoders for generation of molecules.
Currently looking for PhD positions! Please find my CV at top of this page.
News
- Paper release - Revisit Anything: Visual Place Recognition via Image Segment Retrieval: Project page Accepted at ECCV 2024!
- Paper release - LiDAR Image Pretraining for Cross-Modal Localization: Project page
- Won IROS 2022 Outstanding Reviewer Award and was featured in IIITH blog. 5 out of 4,291 reviewers were awarded this!
Publications
Revisit Anything: Visual Place Recognition via Image Segment Retrieval
Project Page | Paper | Code | Video
Kartik Garg*, Sai Shubodh Puligilla*, Shishir Kolathaya, Madhava Krishna, Sourav Garg
European Conference on Computer Vision 2024
LIP-Loc: LiDAR Image Pretraining for Cross-Modal Localization
Project Page | Paper | Code | Video
Sai Shubodh, Mohammad Omama, Husain Zaidi, Udit Singh Parihar, K Madhava Krishna
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision 2024 Workshops
Topological Mapping for Manhattan-like Repetitive Environments
Paper | Code | Video
Sai Shubodh, Satyajit Tourani, Tushar Vaidya, Udit Singh Parihar, Ravi Kiran Sarvadevabhatla, K. Madhava Krishna
2020 IEEE International Conference on Robotics and Automation (ICRA)
Blog
Please find my Blog here.