Biography
I am a Research Scientist at Google Research in Tel-Aviv where I work on multimodal consistency.
My research is centered on improving large vision-and-language models. I develop feedback models for text-to-image and text-to-video applications, specifically designed to enhance the alignment of visual outputs with their corresponding textual prompts. Additionally, I work on multimodal factuality, including visual understanding and image or video-to-text evaluation, ensuring that the generated text is factually correct and attributable to trustworthy textual or visual sources.
I completed my PhD in The Hebrew University of Jerusalem, Israel. During my time there, I had the privilege of being advised by Dr. Roy Schwartz and Dr. Gabriel Stanovsky. My PhD talk "Bridging Vision and Language with Data: From Perception to Understanding" 🎬 record is available here. I did my MSc with Prof. Michael Elhadad and Prof. Eitan Bachmat, at the Ben Gurion University.
Download my complete CV: link.📄 Download my bio: link.
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PhD in Computer Science (Vision-and-Language), 2020-2023
The Hebrew University of Jerusalem, Israel
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MSc in Computer Science (Natural Language Processing), Magna cum laude, 2018-2019
Ben Gurion University of the Negev, Israel
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BSc in Computer Science, 2015-2018
Ben Gurion University of the Negev, Israel
Students
I've had the opportunity to collaborate with several MSc and PhD students towards their publication goals:
- Aviv Slobodkin (Bar-Ilan University) – RefVNLI: Towards Scalable Evaluation of Subject-driven Text-to-image Generation
- Moran Yanuka (Tel Aviv University) - Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted Captions
- Mor Ventura (Technion) - NL-Eye: Abductive NLI for Images
- Orr Zohar (Stanford) - Video-STaR: Bootstrapping Weak Video Supervision for Visual Instruction Tuning
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Hritik Bansal (UCLA) -
- VideoPhy2: Challenging Action-Centric Physical Commonsense Evaluation of Video Generation
- VideoPhy: Evaluating Physical Commonsense In Video Generation
- TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation
- Video-Con: Robust Video-Language Alignment via Contrast Captions
- Brian Gordon (TAU) - Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignment
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Nitzan Bitton-Guetta (Ben Gurion) -
- WHOOPS! Commonsense-defying image with text-to-image models
- Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models
- Ron Yosef (Hebrew University) - IRFL: Figurative language and visual metaphors
- Oren Sultan (Hebrew University) - ParallelPARC: A Scalable Pipeline for Generating Natural-Language Analogies
- Netta Madvil (Hebrew University) - Read, Look or Listen?: Multimodal models analysis
If you want to work together on vision-and-language research, feel free to shoot me an email.
Publications
Work Experience
Developed a virtual fitness trainer, specializing in 2D/3D pose estimation, action recognition, error correction, on-device deployment and more.
Invited Talks
Others
This project participated in Starter - Jump course and won 1st place in the final Demo Day event.
Press coverage: telecomnews, israeldefense, sheva7.
