Amir Bar

According to our database, Amir Bar authored at least 46 papers between 2010 and 2026.

Collaborative distances:

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

2026

Lifting Embodied World Models for Planning and Control.

Alex N. Wang, Trevor Darrell, Pavel Izmailov, Yutong Bai, Amir Bar

CoRR, April, 2026

Hierarchical Planning with Latent World Models.

Wancong Zhang, Basile Terver, Artem Zholus, Soham Chitnis, Harsh Sutaria, Mido Assran, Randall Balestriero, Amir Bar, Adrien Bardes, Yann LeCun, Nicolas Ballas

CoRR, April, 2026

V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning.

Lorenzo Mur-Labadia, Matthew J. Muckley, Amir Bar, Mido Assran, Koustuv Sinha, Mike Rabbat, Yann LeCun, Nicolas Ballas, Adrien Bardes

CoRR, March, 2026

Beyond Language Modeling: An Exploration of Multimodal Pretraining.

Shengbang Tong, David Fan, John Nguyen, Ellis Brown, Gaoyue Zhou, Shengyi Qian, Boyang Zheng, Théophane Vallaeys, Junlin Han, Rob Fergus, Naila Murray, Marjan Ghazvininejad, Mike Lewis, Nicolas Ballas, Amir Bar, Michael Rabbat, Jakob Verbeek, Luke Zettlemoyer, Koustuv Sinha, Yann LeCun, Saining Xie

CoRR, March, 2026

A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures.

Basile Terver, Randall Balestriero, Megi Dervishi, David Fan, Quentin Garrido, Tushar Nagarajan, Koustuv Sinha, Wancong Zhang, Mike Rabbat, Yann LeCun, Amir Bar

CoRR, February, 2026

Grounding Generated Videos in Feasible Plans via World Models.

Christos Ziakas, Amir Bar, Alessandra Russo

CoRR, February, 2026

Parallel Stochastic Gradient-Based Planning for World Models.

Michael Psenka, Michael Rabbat, Aditi Krishnapriyan, Yann LeCun, Amir Bar

CoRR, February, 2026

DeFM: Learning Foundation Representations from Depth for Robotics.

Manthan Patel, Jonas Frey, Mayank Mittal, Fan Yang, Alexander Hansson, Amir Bar, César Cadena, Marco Hutter

CoRR, January, 2026

2025

World Models Can Leverage Human Videos for Dexterous Manipulation.

Raktim Gautam Goswami, Amir Bar, David Fan, Tsung-Yen Yang, Gaoyue Zhou, Prashanth Krishnamurthy, Michael Rabbat, Farshad Khorrami, Yann LeCun

CoRR, December, 2025

TV2TV: A Unified Framework for Interleaved Language and Video Generation.

Xiaochuang Han, Youssef Emad, Melissa Hall, John Nguyen, Karthik Padthe, Liam Robbins, Amir Bar, Delong Chen, Michal Drozdzal, Maha Elbayad, Yushi Hu, Shang-Wen Li, Sreya Dutta Roy, Jakob Verbeek, XuDong Wang, Marjan Ghazvininejad, Luke Zettlemoyer, Emily Dinan

CoRR, December, 2025

From Generated Human Videos to Physically Plausible Robot Trajectories.

James Ni, Zekai Wang, Wei Lin, Amir Bar, Yann LeCun, Trevor Darrell, Jitendra Malik, Roei Herzig

CoRR, December, 2025

OpenApps: Simulating Environment Variations to Measure UI-Agent Reliability.

Karen Ullrich, Jingtong Su, Claudia Shi, Arjun Subramonian, Amir Bar, Ivan Evtimov, Nikolaos Tsilivis, Randall Balestriero, Julia Kempe, Mark Ibrahim

CoRR, November, 2025

Whole-Body Conditioned Egocentric Video Prediction.

Yutong Bai, Danny Tran, Amir Bar, Yann LeCun, Trevor Darrell, Jitendra Malik

CoRR, June, 2025

Forgotten Polygons: Multimodal Large Language Models are Shape-Blind.

William Rudman, Michal Golovanesky, Amir Bar, Vedant Palit, Yann LeCun, Carsten Eickhoff, Ritambhara Singh

CoRR, February, 2025

Vision-Language Models Create Cross-Modal Task Representations.

Grace Luo, Trevor Darrell, Amir Bar

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

Scaling Language-Free Visual Representation Learning.

David Fan, Shengbang Tong, Jiachen Zhu, Koustuv Sinha, Zhuang Liu, Xinlei Chen, Michael Rabbat, Nicolas Ballas, Yann LeCun, Amir Bar, Saining Xie

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Pixels Versus Priors: Controlling Knowledge Priors in Vision-Language Models through Visual Counterfacts.

Michal Golovanevsky, William Rudman, Michael A. Lepori, Amir Bar, Ritambhara Singh, Carsten Eickhoff

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Navigation World Models.

Amir Bar, Gaoyue Zhou, Danny Tran, Trevor Darrell, Yann LeCun

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

Forgotten Polygons: Multimodal Large Language Models are Shape-Blind.

William Rudman, Michal Golovanevsky, Amir Bar, Vedant Palit, Yann LeCun, Carsten Eickhoff, Ritambhara Singh

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks.

Jiarui Xu, Yossi Gandelsman, Amir Bar, Jianwei Yang, Jianfeng Gao, Trevor Darrell, Xiaolong Wang

Trans. Mach. Learn. Res., 2024

Task Vectors are Cross-Modal.

Grace Luo, Trevor Darrell, Amir Bar

CoRR, 2024

Stochastic positional embeddings improve masked image modeling.

Amir Bar, Florian Bordes, Assaf Shocher, Mido Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Finding Visual Task Vectors.

Alberto Hojel, Yutong Bai, Trevor Darrell, Amir Globerson, Amir Bar

Proceedings of the Computer Vision - ECCV 2024, 2024

EgoPet: Egomotion and Interaction Data from an Animal's Perspective.

Amir Bar, Arya Bakhtiar, Danny Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann LeCun, Amir Globerson, Trevor Darrell

Proceedings of the Computer Vision - ECCV 2024, 2024

Sequential Modeling Enables Scalable Learning for Large Vision Models.

Yutong Bai, Xinyang Geng, Karttikeya Mangalam, Amir Bar, Alan L. Yuille, Trevor Darrell, Jitendra Malik, Alexei A. Efros

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Object-based (yet Class-agnostic) Video Domain Adaptation.

Dantong Niu, Amir Bar, Roei Herzig, Trevor Darrell, Anna Rohrbach

CoRR, 2023

Predicting masked tokens in stochastic locations improves masked image modeling.

Amir Bar, Florian Bordes, Assaf Shocher, Mahmoud Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun

CoRR, 2023

A Cookbook of Self-Supervised Learning.

Randall Balestriero, Mark Ibrahim, Vlad Sobal, Ari Morcos, Shashank Shekhar, Tom Goldstein, Florian Bordes, Adrien Bardes, Grégoire Mialon, Yuandong Tian, Avi Schwarzschild, Andrew Gordon Wilson, Jonas Geiping, Quentin Garrido, Pierre Fernandez, Amir Bar, Hamed Pirsiavash, Yann LeCun, Micah Goldblum

CoRR, 2023

2022

Structured Video Tokens @ Ego4D PNR Temporal Localization Challenge 2022.

Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson

CoRR, 2022

Using Machine Learning to Identify Intravenous Contrast Phases on Computed Tomography.

Raouf Muhamedrahimov, Amir Bar, Jonathan Laserson, Ayelet Akselrod-Ballin, Eldad Elnekave

Comput. Methods Programs Biomed., 2022

Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens.

Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Visual Prompting via Image Inpainting.

Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, Alexei A. Efros

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Object-Region Video Transformers.

Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam, Amir Bar, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DETReg: Unsupervised Pretraining with Region Priors for Object Detection.

Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Learning Interclass Relations for Intravenous Contrast Phase Classification in CT.

Raouf Muhamedrahimov, Amir Bar, Ayelet Akselrod-Ballin

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Compositional Video Synthesis with Action Graphs.

Amir Bar, Roei Herzig, Xiaolong Wang, Anna Rohrbach, Gal Chechik, Trevor Darrell, Amir Globerson

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Compositional Video Synthesis with Action Graphs.

Amir Bar, Roei Herzig, Xiaolong Wang, Gal Chechik, Trevor Darrell, Amir Globerson

CoRR, 2020

Learning Interclass Relations for Image Classification.

Raouf Muhamedrahimov, Amir Bar, Ayelet Akselrod-Ballin

CoRR, 2020

3D Convolutional Sequence to Sequence Model for Vertebral Compression Fractures Identification in CT.

David Chettrit, Tomer Meir, Hila Lebel, Mila Orlovsky, Ronen Gordon, Ayelet Akselrod-Ballin, Amir Bar

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning Canonical Representations for Scene Graph to Image Generation.

Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

PHT-bot: a deep learning based system for automatic risk stratification of COPD patients based upon signs of pulmonary hypertension.

David Chettrit, Orna Bregman-Amitai, Itamar Tamir, Amir Bar, Eldad Elnekave

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Improved ICH Classification Using Task-Dependent Learning.

Amir Bar, Michal Mauda Havakuk, Yoni Turner, Michal Safadi, Eldad Elnekave

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Learning Individual Styles of Conversational Gesture.

Shiry Ginosar, Amir Bar, Gefen Kohavi, Caroline Chan, Andrew Owens, Jitendra Malik

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Language Generation with Recurrent Generative Adversarial Networks without Pre-training.

Ofir Press, Amir Bar, Ben Bogin, Jonathan Berant, Lior Wolf

CoRR, 2017

Compression fractures detection on CT.

Amir Bar, Lior Wolf, Orna Bergman Amitai, Eyal Toledano, Eldad Elnekave

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2010

Widespread Compensatory Evolution Conserves DNA-Encoded Nucleosome Organization in Yeast.

Ephraim Kenigsberg, Amir Bar, Eran Segal, Amos Tanay

PLoS Comput. Biol., 2010