Noam Rotstein

About Me

I'm Noam Rotstein, a PhD candidate at the Technion – Israel Institute of Technology, conducting research under the supervision of Professor Ron Kimmel. My work encompasses various aspects of computer vision, including 3D processing, multimodal learning, and generative diffusion models.

Alongside my academic pursuits, I serve as an AI Research Scientist at Lumana, where I was among the company’s first employees. In this role, I contribute to the development of next-generation, AI-powered video analytics products.

Publications

* indicates equal contribution

Time-to-Move: Training-Free Motion Controlled Video Generation via Dual-Clock Denoising

Assaf Singer*, Noam Rotstein*, Amit Mann, Ron Kimmel, Or Litany

Preprint 2025

Paper Page

SingLoRA: Low Rank Adaptation Using a Single Matrix

David Bensaïd, Noam Rotstein, Roy Velich, Daniel Bensaïd, Ron Kimmel

Preprint 2025

Paper

Pathways on the Image Manifold: Image Editing via Video Generation

Noam Rotstein, Gal Yona, Daniel Silver, Roy Velich, David Bensaïd, Ron Kimmel

CVPR 2025

Paper Page

Paint by Inpaint: Learning to Add Image Objects by Removing Them First

Navve Wasserman* , Noam Rotstein*, Roy Ganz, Ron Kimmel

CVPR 2025

Paper Page

Fusecap: Leveraging Large Language Models for Enriched Fused Image Captions

Noam Rotstein*, David Bensaïd*, Shaked Brody, Roy Ganz, Ron Kimmel

WACV 2024

Paper Page

Partial Matching of Nonrigid Shapes by Learning Piecewise Smooth Functions

David Bensaïd, Noam Rotstein, Noam Goldenstein, Ron Kimmel

SGP 2023

Paper

Multimodal Colored Point Cloud to Image Alignment

Noam Rotstein, Amit Bracha, Ron Kimmel

CVPR 2022

Paper Page

Depth Refinement for Improved Stereo Reconstruction

Amit Bracha, Noam Rotstein, Daniel Bensaïd, Ron Slossberg, Ron Kimmel

2021

Paper

Education

• PhD in Computer Science (Direct track) – Technion – Israel Institute of Technology (2021–Current)
• 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

Professional Experience

• AI Research Scientist at Lumana (2022–Present) – Specializing in video analytics
• Teaching Assistant at Technion – Assisted in delivering an Introduction to Machine Learning course.
• Computer Vision Algorithm Researcher at Intel Corporation – RealSense 3D capture technology.
• Computer Vision Engineer at Eye-Minders.

Patents

• Techniques for classifying custom object states in visual content
  Ron Slossberg, Aviad Zabatani, Noam Rotstein, Ofir Mulla, Amit Bracha, Ron Kimmel
  US Patent App. 18/539,885, 2025
• Techniques for augmented machine learning with respect to variations of objects
  Noam Rotstein, Ron Slossberg, Aviad Zabatani, Ofir Mulla, Amit Bracha, Ron Kimmel
  US Patent App. 18/539,897, 2025
• Hybrid machine learning architecture for visual content processing and uses thereof
  Ofir Mulla, Noam Rotstein, Amit Bracha, Ron Kimmel, Aviad Zabatani, Ron Slossberg, Sagi Ben Moshe
  US Patent App. 18/145,301, 2024
• Custom object tracking using hybrid machine learning
  Ofir Mulla, Noam Rotstein, Amit Bracha, Ron Kimmel, Aviad Zabatani, Ron Slossberg, Sagi Ben Moshe
  US Patent App. 18/186,517, 2024

Contact

For inquiries or collaboration, please email me at: rotsteinnoam@gmail.com