Ofir
Abramovich

PhD Candidate • Reichman University

I study how machines see, reason, and understand the visual world.

I am a PhD candidate at Reichman University, advised by Prof. Ariel Shamir. My research lies at the intersection of computer graphics, computer vision, and 3D virtual worlds.
I’m passionate about AI’s evolving role in enhancing machine perception, creativity, and intelligence, and I feel grateful to contribute to this rapidly advancing field.
Outside of research, I enjoy music, cooking, and playing tennis.

I’m always happy to connect and discuss new ideas, potential collaborations, or simply chat about research!

Publications CV Email
myself
Updates
Mar  2026
 🎉     Our paper on ColorfulNoise has been accepted by SIGGRAPH! 
Mar  2026
 🎉     Our paper on MultiAct has been accepted by SIGGRAPH! 
Feb  2026
 💥     Our paper on Mocap Anywhere has been accepted by TOG as a Journal Paper! 
Feb  2025
 🎤     I will be presenting our work Mocap Anywhere at the upcoming Israeli Vision Day in TAU! (link) 
Jan  2024
 🎉     Our paper on VisFocus has been accepted by ECCV!
June 2023 🚀     I will be joining Amazon AWS as a Research Scientist Intern!
My Research Path
Research Path
Publications
MultiAct: Text-to-Motion Generation from Composite Text via Tailored Attention Guidance
Nathan Sala, Ofir Abramovich, Ariel Shamir, Daniel Cohen-Or, Andreas Aristidou, Sigal Raab
SIGGRAPH 2026
Project Page (TBD) arXiv (TBD) Code (TBD)
Publication 1 teaser
Colorful-Noise: Training-Free Low-Frequency Noise Manipulation for Color-Based Conditional Image Generation
Nadav Z. Cohen, Ofir Abramovich, Ariel Shamir
SIGGRAPH 2026
Project Page (TBD) arXiv (TBD) Code (TBD)
Publication 1 teaser
Mocap Anywhere: Towards Pairwise-Distance based Motion Capture in the Wild (for the Wild)
Ofir Abramovich, Ariel Shamir, Andreas Aristidou
TOG (Siggraph) 2026
Project Page arXiv Code
Publication 1 teaser
VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding
Ofir Abramovich, Niv Nayman, Sharon Fogel, Inbal Lavi, Ron Litman, Shahar Tsiper, Royee Tichauer, Srikar Appalaraju, Shai Mazor, R. Manmatha
ECCV 2024
Project Page arXiv Code
Publication 1 teaser
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data
Roei Herzig*, Ofir Abramovich*, Elad Ben-Avraham, Assaf Arbelle, Leonid Karlinsky, Ariel Shamir, Trevor Darrell, Amir Globerson
WACV 2024
Project Page arXiv Code
Publication 1 teaser
Curriculum Vitae

Education

2023 — Present
PhD in Computer Science
Reichman University
2021 — 2023
MSc in Computer Science
Reichman University
2017 — 2020
BSc in Computer Science
Reichman University

Experience

2021 — Present
Teaching Assistant
Computer Graphics Course
2024 — Present
Research Associate
CYENS – Centre of Excellence, Cyprus
Reviewer
CVPR, Siggraph, ECCV
2023 - 2024
Research Intern
Amazon AWS AI Labs

↓ Download Full CV (PDF)
Get in Touch

I'm always happy to chat about research, collaborations, or ideas at the intersection of vision and generative AI.

✉ Email ↗ Google Scholar ↗ GitHub ↗ LinkedIn