Scholar
Sayan Deb Sarkar
Google Scholar ID: T9zPzwoAAAAJ
Gradient Spaces Lab, Stanford University
Citations & Impact
Citations
391
H-index
7
i10-index
7
Publications
9
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- - GuideFlow3D accepted to NeurIPS 2025
- - CrossOver accepted to CVPR 2025 as Highlight (top 3%)
- - SGAligner++ published on arXiv 2025
- - SGAligner accepted to ICCV 2023
- - Keypoint Transformer accepted to CVPR 2022 as Oral
- - MCSS accepted to CVPR 2021
- - General 3D Room Layout from a Single View by Render-and-Compare accepted to ECCV 2020
Research Experience
- - Summer 2025, Research Intern at Microsoft Spatial AI Lab, working on efficient video understanding
- - Fall 2023, Research Intern at Qualcomm XR Labs, Amsterdam
- - May 2021 to September 2022, Computer Vision Research Engineer at Mercedes-Benz R&D
- - June 2020 to July 2021, Research Assistant at ICG, TU Graz, Mentor: Vincent Lepetit
Education
- - Stanford University, PhD student, Advisor: Iro Armeni, Time: 2024 to present
- - ETH Zürich, Master's, Advisor: Marc Pollefeys, Time: 2022 to 2024
- - Manipal University, India, Bachelor in Information Technology, Time: Before master's
Background
- - Research Interests: Multimodal 3D scene understanding and interactive editing
- - Professional Field: Computer Vision and Machine Learning
- - Brief Introduction: Pursuing a PhD at Stanford University, focusing on multimodal data representations for spatial understanding.
Miscellany
- - Personal Interests: Feel free to reach out for a cup of coffee if you're around the Bay Area
