Scholar
Nilesh Kulkarni
Google Scholar ID: tLrLu1cAAAAJ
Research Scientist, Netflix
Computer Vision
GenAI
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
575
H-index
11
i10-index
11
Publications
20
Co-authors
0
Contact
CV
Open ↗
GitHub
Open ↗
Publications
2 items
Less is More: Data-Efficient Adaptation for Controllable Text-to-Video Generation
2025
Cited
0
SIR-DIFF: Sparse Image Sets Restoration with Multi-View Diffusion Model
2025
Cited
0
Resume (English only)
Academic Achievements
- NIFTY, FAR, and 3DFIRES accepted to CVPR 2024
- D2-DRDF accepted to CVPR 2023
- DRDF accepted to ECCV 2022
- 3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surface (CVPR 2024)
- FAR: Flexible, Accurate and Robust 6DoF Relative Camera Pose Estimation (CVPR 2024)
- NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis (CVPR 2024)
Research Experience
- Interned at Google Research, hosted by Prof. Leonidas Guibas
- Interned at Waymo Research, hosted by Xinchen Yan and Charles Qi
- Worked as a Research Engineer at Samsung AI Research in Seoul, South Korea for two years
- Closely collaborated with Shubham Tulsiani and Ishan Misra
Education
- Ph.D.: University of Michigan, advised by David Fouhey and Justin Johnson
- Master's: Carnegie Mellon University, advised by Abhinav Gupta
- Bachelor's: IIT Bombay, Department of Computer Science and Engineering
Background
Ph.D. student in Computer Science and Engineering (CSE), with research interests in computer vision, 3D reconstruction, and camera pose estimation.
Miscellany
Contact: nileshk [at] umich.edu
Other links: GitHub, Google Scholar, CV
Co-authors
0 total
Co-authors: 0 (list not available)
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up