Noam Rotstein
Scholar

Noam Rotstein

Google Scholar ID: sQSHkS4AAAAJ
Technion, Lumana.ai
AIMachine LearningComputer Vision
Citations & Impact
All-time
Citations
134
 
H-index
4
 
i10-index
2
 
Publications
11
 
Co-authors
9
list available
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