PROB: Probabilistic Objectness for Open World Object Detection. - Orr Zohar; Kuan-Chieh Wang; Serena Yeung (CVPR, 2023)

LOVM: Language-Only Vision Model Selection. - Orr Zohar; Shih-Cheng Huang; Kuan-Chieh Wang; Serena Yeung (NeurIPS, 2023)

Open World Object Detection in the Era of Foundation Models. - Orr Zohar; Alejandro Lozano; Shelly Goel; Serena Yeung; Kuan-Chieh Wang (CoRR, 2023)

VideoAgent: Long-Form Video Understanding with Large Language Model as Agent. - Xiaohan Wang; Yuhui Zhang; Orr Zohar; Serena Yeung-Levy (ECCV (80), 2024)

Apollo: An Exploration of Video Understanding in Large Multimodal Models. - Orr Zohar; Xiaohan Wang; Yann Dubois; Nikhil Mehta 002; Tong Xiao; Philippe Hansen-Estruch; Licheng Yu; Xiaofang Wang; Felix Juefei-Xu; Ning Zhang; Serena Yeung-Levy; Xide Xia (CVPR, 2025)

Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision. - Orr Zohar; Xiaohan Wang; Yonatan Bitton; Idan Szpektor; Serena Yeung-Levy (ICLR, 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, 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 005; Jeffrey Gu; Ivan Lopez; Josiah Aklilu; Anita Rau; Austin Wolfgang Katzer; et al. (CoRR, 2025)

SmolVLM: Redefining small and efficient multimodal models. - Andrés Marafioti; Orr Zohar; Miquel Farré; Merve Noyan; Elie Bakouch; Pedro Cuenca 002; Cyril Zakka; Loubna Ben Allal; Anton Lozhkov; Nouamane Tazi; Vaibhav Srivastav; Joshua Lochner; et al. (CoRR, 2025)