Orr Zohar

According to our database, Orr Zohar authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ViTok-v2: Scaling Native Resolution Auto-Encoders to 5 Billion Parameters.

Philippe Hansen-Estruch, Jiahui Chen, Vivek Ramanujan, Orr Zohar, Yan Ping, Animesh Sinha, Markos Georgopoulos, Edgar Schönfeld, Ji Hou, Felix Juefei-Xu, Sriram Vishwanath, Ali K. Thabet

CoRR, May, 2026

2025

FineVision: Open Data Is All You Need.

Luis Wiedmann, Orr Zohar, Amir Mahla, Xiaohan Wang, Rui Li, Thibaud Frere, Leandro von Werra, Aritra Roy Gosthipaty, Andrés Marafioti

CoRR, October, 2025

SmolVLM: Redefining small and efficient multimodal models.

Andrés Marafioti, Orr Zohar, Miquel Farré, Merve Noyan, Elie Bakouch, Pedro Cuenca, Cyril Zakka, Loubna Ben Allal, Anton Lozhkov, Nouamane Tazi, Vaibhav Srivastav, Joshua Lochner, Hugo Larcher, Mathieu Morlon, Lewis Tunstall, Leandro von Werra, Thomas Wolf

CoRR, April, 2025

A Large-Scale Vision-Language Dataset Derived from Open Scientific Literature to Advance Biomedical Generalist AI.

Alejandro Lozano, Min Woo Sun, James Burgess, Jeffrey J. Nirschl, Christopher Polzak, Yuhui Zhang, Liangyu Chen, Jeffrey Gu, Ivan Lopez, Josiah Aklilu, Anita Rau, Austin Wolfgang Katzer, Collin Chiu, Orr Zohar, Xiaohan Wang, Alfred Seunghoon Song, Chia-Chun Chiang, Robert Tibshirani, Serena Yeung-Levy

CoRR, March, 2025

Learnings from Scaling Visual Tokenizers for Reconstruction and Generation.

Philippe Hansen-Estruch, David Yan, Ching-Yao Chung, Orr Zohar, Jialiang Wang, Tingbo Hou, Tao Xu, Sriram Vishwanath, Peter Vajda, Xinlei Chen

CoRR, January, 2025

The Impact of Image Resolution on Biomedical Multimodal Large Language Models.

Liangyu Chen, James Burgess, Jeffrey J. Nirschl, Orr Zohar, Serena Yeung-Levy

Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

Learnings from Scaling Visual Tokenizers for Reconstruction and Generation.

Philippe Hansen-Estruch, David Yan, Ching-Yao Chuang, Orr Zohar, Jialiang Wang, Tingbo Hou, Tao Xu, Sriram Vishwanath, Peter Vajda, Xinlei Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision.

Orr Zohar, Xiaohan Wang, Yonatan Bitton, Idan Szpektor, Serena Yeung-Levy

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Apollo: An Exploration of Video Understanding in Large Multimodal Models.

Orr Zohar, Xiaohan Wang, Yann Dubois, Nikhil Mehta, Tong Xiao, Philippe Hansen-Estruch, Licheng Yu, Xiaofang Wang, Felix Juefei-Xu, Ning Zhang, Serena Yeung-Levy, Xide Xia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

VideoAgent: Long-Form Video Understanding with Large Language Model as Agent.

Xiaohan Wang, Yuhui Zhang, Orr Zohar, Serena Yeung-Levy

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Open World Object Detection in the Era of Foundation Models.

Orr Zohar, Alejandro Lozano, Shelly Goel, Serena Yeung, Kuan-Chieh Wang

CoRR, 2023

LOVM: Language-Only Vision Model Selection.

Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PROB: Probabilistic Objectness for Open World Object Detection.

Orr Zohar, Kuan-Chieh Wang, Serena Yeung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023