Roei Herzig - RankMe

71 papers A* 19A 2Misc 1Journal 42Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding. CoRR Jovana Kondic, Pengyuan Li, Dhiraj Joshi, Isaac Sanchez, Ben Wiesel, Shafiq Abedin, Amit Alfassy, Eli Schwartz, Daniel Caraballo, Yagmur Gizem Cinar, Florian Scheidegger, Steven I. Ross, Daniel Karl I. Weidele, Hang Hua, Ekaterina Arutyunova, Roei Herzig, Zexue He, Zihan Wang, Xinyue Yu, Yunfei Zhao, Sicong Jiang, Minghao Liu, Qunshu Lin, Peter W. J. Staar, Luis A. Lastras, Aude Oliva, Rogério Feris
2025	J	`jnl`	Activation Reward Models for Few-Shot Model Alignment. CoRR Tianning Chai, Chancharik Mitra, Brandon Huang, Gautam Rajendrakumar Gare, Zhiqiu Lin, Assaf Arbelle, Leonid Karlinsky, Rogério Feris, Trevor Darrell, Deva Ramanan, Roei Herzig
2025	J	`jnl`	DAVE: A VLM Vision Encoder for Document Understanding and Web Agents. CoRR Brandon Huang, Hang Hua, Zhuoran Yu, Trevor Darrell, Rogério Feris, Roei Herzig
2025	—	`conf`	Do What? Teaching Vision-Language-Action Models to Reject the Impossible. EMNLP (Findings) Wen-Han Hsieh, Elvis Hsieh, Dantong Niu, Trevor Darrell, Roei Herzig, David M. Chan
2025	J	`jnl`	Do What? Teaching Vision-Language-Action Models to Reject the Impossible. CoRR Wen-Han Hsieh, Elvis Hsieh, Dantong Niu, Trevor Darrell, Roei Herzig, David M. Chan
2025	J	`jnl`	From Generated Human Videos to Physically Plausible Robot Trajectories. CoRR James Ni, Zekai Wang, Wei Lin, Amir Bar, Yann LeCun, Trevor Darrell, Jitendra Malik, Roei Herzig
2025	J	`jnl`	Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. CoRR Leonid Karlinsky, Assaf Arbelle, Abraham Daniels, Ahmed Nassar, Amit Alfassi, Bo Wu, Eli Schwartz, Dhiraj Joshi, Jovana Kondic, Nimrod Shabtay, Pengyuan Li, Roei Herzig, Shafiq Abedin, Shaked Perek, Sivan Harary, Udi Barzelay, Adi Raz Goldfarb, Aude Oliva, Ben Wieles, Bishwaranjan Bhattacharjee, Brandon Huang, Christoph Auer, Dan Gutfreund, David Beymer, David Wood, Hilde Kuehne, Jacob A. Hansen, Joseph Shtok, Ken Wong, Luis Angel D. Bathen, Mayank Mishra, Maksym Lysak, Michele Dolfi, Mikhail Yurochkin, Nikolaos Livathinos, Nimrod Harel, Ophir Azulai, Oshri Naparstek, Rafael Teixeira de Lima, Rameswar Panda, Sivan Doveh, Shubham Gupta, Subhro Das, Syed Zawad, Yusik Kim, Zexue He, Alexander Brooks, Gabe Goodhart, Anita Govindjee, Derek Leist, Ibrahim Ibrahim, Aya Soffer, David D. Cox, Kate Soule, Luis A. Lastras, Nirmit Desai, Shila Ofek-Koifman, Sriram Raghavan, Tanveer F. Syeda-Mahmood, Peter W. J. Staar, Tal Drory, Rogério Feris
2025	A*	`conf`	In-Context Learning Enables Robot Action Prediction in LLMs. ICRA Yida Yin, Zekai Wang, Yuvan Sharma, Dantong Niu, Trevor Darrell, Roei Herzig
2025	J	`jnl`	Latent Implicit Visual Reasoning. CoRR Kelvin Li, Chuyi Shang, Leonid Karlinsky, Rogério Feris, Trevor Darrell, Roei Herzig
2025	J	`jnl`	Learning to Grasp Anything by Playing with Random Toys. CoRR Dantong Niu, Yuvan Sharma, Baifeng Shi, Rachel Ding, Matteo Gioia, Haoru Xue, Henry Tsai, Konstantinos Kallidromitis, Anirudh Pai, Shankar Shastry, Trevor Darrell, Jitendra Malik, Roei Herzig
2025	J	`jnl`	Mechanistic Finetuning of Vision-Language-Action Models via Few-Shot Demonstrations. CoRR Chancharik Mitra, Yusen Luo, Raj Saravanan, Dantong Niu, Anirudh Pai, Jesse Thomason, Trevor Darrell, Abrar Anwar, Deva Ramanan, Roei Herzig
2025	A*	`conf`	Pre-training Auto-regressive Robotic Models with 4D Representations. ICML Dantong Niu, Yuvan Sharma, Haoru Xue, Giscard Biamby, Junyi Zhang, Ziteng Ji, Trevor Darrell, Roei Herzig
2025	J	`jnl`	Pre-training Auto-regressive Robotic Models with 4D Representations. CoRR Dantong Niu, Yuvan Sharma, Haoru Xue, Giscard Biamby, Junyi Zhang, Ziteng Ji, Trevor Darrell, Roei Herzig
2025	—	`conf`	TULIP: Contrastive Image-Text Learning with Richer Vision Understanding. ICCVW Zineng Tang, Long Lian, Seun Eisape, Xudong Wang, Roei Herzig, Adam Yala, Alane Suhr, Trevor Darrell, David M. Chan
2025	J	`jnl`	TULIP: Towards Unified Language-Image Pretraining. CoRR Zineng Tang, Long Lian, Seun Eisape, Xudong Wang, Roei Herzig, Adam Yala, Alane Suhr, Trevor Darrell, David M. Chan
2025	J	`jnl`	Visualizing Thought: Conceptual Diagrams Enable Robust Planning in LMMs. CoRR Nasim Borazjanizadeh, Roei Herzig, Eduard Oks, Trevor Darrell, Rogério Feris, Leonid Karlinsky
2024	A*	`conf`	Compositional Chain-of-Thought Prompting for Large Multimodal Models. CVPR Chancharik Mitra, Brandon Huang, Trevor Darrell, Roei Herzig
2024	A*	`conf`	ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. NeurIPS Irene Huang, Wei Lin, Muhammad Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogério Feris, Leonid Karlinsky
2024	J	`jnl`	ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. CoRR Irene Huang, Wei Lin, Muhammad Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Ion Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogério Feris, Leonid Karlinsky
2024	J	`jnl`	In-Context Learning Enables Robot Action Prediction in LLMs. CoRR Yida Yin, Zekai Wang, Yuvan Sharma, Dantong Niu, Trevor Darrell, Roei Herzig
2024	Misc	`conf`	LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning. CoRL Dantong Niu, Yuvan Sharma, Giscard Biamby, Jerome Quenum, Yutong Bai, Baifeng Shi, Trevor Darrell, Roei Herzig
2024	J	`jnl`	LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning. CoRR Dantong Niu, Yuvan Sharma, Giscard Biamby, Jerome Quenum, Yutong Bai, Baifeng Shi, Trevor Darrell, Roei Herzig
2024	A*	`conf`	Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning. NeurIPS Brandon Huang, Chancharik Mitra, Leonid Karlinsky, Assaf Arbelle, Trevor Darrell, Roei Herzig
2024	J	`jnl`	Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning. CoRR Brandon Huang, Chancharik Mitra, Assaf Arbelle, Leonid Karlinsky, Trevor Darrell, Roei Herzig
2024	J	`jnl`	Navigating the Labyrinth: Evaluating and Enhancing LLMs' Ability to Reason About Search Problems. CoRR Nasim Borazjanizadeh, Roei Herzig, Trevor Darrell, Rogério Feris, Leonid Karlinsky
2024	A	`conf`	PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data. WACV Roei Herzig, Ofir Abramovich, Elad Ben-Avraham, Assaf Arbelle, Leonid Karlinsky, Ariel Shamir, Trevor Darrell, Amir Globerson
2024	—	`conf`	Recursive Visual Programming. ECCV (43) Jiaxin Ge, Sanjay Subramanian, Baifeng Shi, Roei Herzig, Trevor Darrell
2024	J	`jnl`	Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiers. CoRR Chancharik Mitra, Brandon Huang, Tianning Chai, Zhiqiu Lin, Assaf Arbelle, Rogério Feris, Leonid Karlinsky, Trevor Darrell, Deva Ramanan, Roei Herzig
2024	A*	`conf`	TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering. EMNLP Chuyi Shang, Amos You, Sanjay Subramanian, Trevor Darrell, Roei Herzig
2024	J	`jnl`	TraveLER: A Multi-LMM Agent Framework for Video Question-Answering. CoRR Chuyi Shang, Amos You, Sanjay Subramanian, Trevor Darrell, Roei Herzig
2024	A*	`conf`	Unsupervised Universal Image Segmentation. CVPR Dantong Niu, Xudong Wang, Xinyang Han, Long Lian, Roei Herzig, Trevor Darrell
2023	J	`jnl`	Compositional Chain-of-Thought Prompting for Large Multimodal Models. CoRR Chancharik Mitra, Brandon Huang, Trevor Darrell, Roei Herzig
2023	A*	`conf`	Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. NeurIPS Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
2023	J	`jnl`	Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. CoRR Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
2023	A*	`conf`	Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs. EMNLP Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogério Feris, Trevor Darrell, Amir Globerson
2023	J	`jnl`	Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs. CoRR Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogério Feris, Trevor Darrell, Amir Globerson
2023	J	`jnl`	Object-based (yet Class-agnostic) Video Domain Adaptation. CoRR Dantong Niu, Amir Bar, Roei Herzig, Trevor Darrell, Anna Rohrbach
2023	J	`jnl`	Recursive Visual Programming. CoRR Jiaxin Ge, Sanjay Subramanian, Baifeng Shi, Roei Herzig, Trevor Darrell
2023	A*	`conf`	Teaching Structured Vision & Language Concepts to Vision & Language Models. CVPR Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogério Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky
2023	J	`jnl`	Unsupervised Universal Image Segmentation. CoRR Dantong Niu, Xudong Wang, Xinyang Han, Long Lian, Roei Herzig, Trevor Darrell
2022	A*	`conf`	Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens. NeurIPS Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson
2022	J	`jnl`	Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens. CoRR Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson
2022	A*	`conf`	DETReg: Unsupervised Pretraining with Region Priors for Object Detection. CVPR Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
2022	J	`jnl`	FETA: Towards Specializing Foundation Models for Expert Task Applications. CoRR Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Kate Saenko, Peter W. J. Staar, Rogério Feris, Leonid Karlinsky
2022	A*	`conf`	FETA: Towards Specializing Foundational Models for Expert Task Applications. NeurIPS Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Peter W. J. Staar, Kate Saenko, Rogério Feris, Leonid Karlinsky
2022	A*	`conf`	Object-Region Video Transformers. CVPR Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam, Amir Bar, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
2022	J	`jnl`	PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data. CoRR Roei Herzig, Ofir Abramovich, Elad Ben-Avraham, Assaf Arbelle, Leonid Karlinsky, Ariel Shamir, Trevor Darrell, Amir Globerson
2022	J	`jnl`	Structured Video Tokens @ Ego4D PNR Temporal Localization Challenge 2022. CoRR Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson
2022	J	`jnl`	Teaching Structured Vision&Language Concepts to Vision&Language Models. CoRR Sivan Doveh, Assaf Arbelle, Sivan Harary, Rameswar Panda, Roei Herzig, Eli Schwartz, Donghyun Kim, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
2022	A*	`conf`	Unsupervised Domain Generalization by Learning a Bridge Across Domains. CVPR Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter W. J. Staar, Shady Abu-Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogério Feris, Leonid Karlinsky
2021	A*	`conf`	Compositional Video Synthesis with Action Graphs. ICML Amir Bar, Roei Herzig, Xiaolong Wang, Anna Rohrbach, Gal Chechik, Trevor Darrell, Amir Globerson
2021	J	`jnl`	DETReg: Unsupervised Pretraining with Region Priors for Object Detection. CoRR Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
2021	J	`jnl`	Object-Region Video Transformers. CoRR Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam, Amir Bar, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
2021	J	`jnl`	Unsupervised Domain Generalization by Learning a Bridge Across Domains. CoRR Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter W. J. Staar, Shady Abu-Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogério Feris, Leonid Karlinsky
2020	J	`jnl`	Compositional Video Synthesis with Action Graphs. CoRR Amir Bar, Roei Herzig, Xiaolong Wang, Gal Chechik, Trevor Darrell, Amir Globerson
2020	A	`conf`	Differentiable Scene Graphs. WACV Moshiko Raboh, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson
2020	—	`conf`	Learning Canonical Representations for Scene Graph to Image Generation. ECCV (26) Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson
2020	J	`jnl`	Learning Object Detection from Captions via Textual Scene Attributes. CoRR Achiya Jerbi, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson
2020	A*	`conf`	Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks. CVPR Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell
2019	—	`conf`	Accurate Visual Localization for Automotive Applications. CVPR Workshops Eli Brosh, Matan Friedmann, Ilan Kadar, Lev Yitzhak Lavy, Elad Levi, Shmuel Rippa, Yair Lempert, Bruno Fernandez-Ruiz, Roei Herzig, Trevor Darrell
2019	—	`conf`	Accurate Visual Localization for Automotive Applications. CVPR Workshops Eli Brosh, Matan Friedmann, Ilan Kadar, Lev Yitzhak Lavy, Elad Levi, Shmuel Rippa, Yair Lempert, Bruno Fernandez-Ruiz, Roei Herzig, Trevor Darrell
2019	J	`jnl`	Accurate Visual Localization for Automotive Applications. CoRR Eli Brosh, Matan Friedmann, Ilan Kadar, Lev Yitzhak Lavy, Elad Levi, Shmuel Rippa, Yair Lempert, Bruno Fernandez-Ruiz, Roei Herzig, Trevor Darrell
2019	J	`jnl`	Learning Canonical Representations for Scene Graph to Image Generation. CoRR Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson
2019	J	`jnl`	Learning Latent Scene-Graph Representations for Referring Relationships. CoRR Moshiko Raboh, Roei Herzig, Gal Chechik, Jonathan Berant, Amir Globerson
2019	A*	`conf`	Precise Detection in Densely Packed Scenes. CVPR Eran Goldman, Roei Herzig, Aviv Eisenschtat, Jacob Goldberger, Tal Hassner
2019	J	`jnl`	Precise Detection in Densely Packed Scenes. CoRR Eran Goldman, Roei Herzig, Aviv Eisenschtat, Oria Ratzon, Itsik Levi, Jacob Goldberger, Tal Hassner
2019	J	`jnl`	Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks. CoRR Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell
2019	—	`conf`	Spatio-Temporal Action Graph Networks. ICCV Workshops Roei Herzig, Elad Levi, Huijuan Xu, Hang Gao, Eli Brosh, Xiaolong Wang, Amir Globerson, Trevor Darrell
2018	J	`jnl`	Classifying Collisions with Spatio-Temporal Action Graph Networks. CoRR Roei Herzig, Elad Levi, Huijuan Xu, Eli Brosh, Amir Globerson, Trevor Darrell
2018	A*	`conf`	Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction. NeurIPS Roei Herzig, Moshiko Raboh, Gal Chechik, Jonathan Berant, Amir Globerson
2018	J	`jnl`	Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction. CoRR Roei Herzig, Moshiko Raboh, Gal Chechik, Jonathan Berant, Amir Globerson