Scholar
Noam Rotstein
Google Scholar ID: sQSHkS4AAAAJ
Technion, Lumana.ai
AI
Machine Learning
Computer Vision
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
134
H-index
4
i10-index
2
Publications
11
Co-authors
9
list available
Contact
Email
rotsteinnoam@gmail.com
Twitter
Open ↗
GitHub
Open ↗
LinkedIn
Open ↗
Publications
5 items
CaricatureGS: Exaggerating 3D Gaussian Splatting Faces With Gaussian Curvature
arXiv.org · 2026
Cited
0
Time-to-Move: Training-Free Motion Controlled Video Generation via Dual-Clock Denoising
2025
Cited
0
SingLoRA: Low Rank Adaptation Using a Single Matrix
2025
Cited
0
Pathways on the Image Manifold: Image Editing via Video Generation
arXiv.org · 2024
Cited
2
Paint by Inpaint: Learning to Add Image Objects by Removing Them First
arXiv.org · 2024
Cited
12
Resume (English only)
Academic Achievements
- Publications:
* SingLoRA: Low Rank Adaptation Using a Single Matrix (arXiv 2025)
* Pathways on the Image Manifold: Image Editing via Video Generation (CVPR 2025)
* Paint by Inpaint: Learning to Add Image Objects by Removing Them First (CVPR 2025)
* Fusecap: Leveraging Large Language Models for Enriched Fused Image Captions (WACV 2024)
* Partial Matching of Nonrigid Shapes by Learning Piecewise Smooth Functions (SGP 2023)
* Multimodal Colored Point Cloud to Image Alignment (CVPR 2022)
* Depth Refinement for Improved Stereo Reconstruction (arXiv 2021)
- Patents:
* Techniques for classifying custom object states in visual content (US Patent App. 18/539,885, 2025)
* Techniques for augmented machine learning with respect to variations of objects (US Patent App. 18/539,897, 2025)
* Hybrid machine learning architecture for visual content processing and uses thereof (US Patent App. 18/145,301, 2024)
* Custom object tracking using hybrid machine learning (US Patent App. 18/186,517, 2024)
Research Experience
- AI Research Scientist, Lumana (2022–Present)
- Teaching Assistant, Technion – Assisted in delivering an Introduction to Machine Learning course
- Computer Vision Algorithm Researcher, Intel Corporation (RealSense 3D capture technology)
- Computer Vision Engineer, Eye-Minders
Education
- PhD in Computer Science (Direct track): Technion – Israel Institute of Technology (2021–Current), supervised by Professor Ron Kimmel
- Bachelor's in Electrical Engineering: Technion – Israel Institute of Technology
- Graduate of the Research-oriented Excellence Program of the EE faculty (EMET)
- Summa Cum Laude
Background
- Research in computer vision, including 3D processing, multimodal learning, and generative diffusion models
- Serves as an AI Research Scientist at Lumana, contributing to the development of next-generation, AI-powered video analytics products
Miscellany
Contact: rotsteinnoam@gmail.com
Co-authors
9 total
Ron Kimmel
Prof. of CS (& ECE) Technion, CSO of Lumana, Israel
Co-author 2
Amit Bracha
Graduate student at the Technion
Co-author 4
Co-author 5
Navve Wasserman
Unknown affiliation
Roy Velich
Technion
Gal Yona
M.Sc. Student, Technion
×
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