Zamir, Amir

24 publications

TMLR 2025 Controlled Training Data Generation with Diffusion Models Teresa Yeo, Andrei Atanov, Harold Luc Benoit, Aleksandr Alekseev, Ruchira Ray, Pooya Esmaeil Akhoondi, Amir Zamir

ICML 2025 FlexTok: Resampling Images into 1d Token Sequences of Flexible Length Roman Bachmann, Jesse Allardice, David Mizrahi, Enrico Fini, Oğuzhan Fatih Kar, Elmira Amirloo, Alaaeldin El-Nouby, Amir Zamir, Afshin Dehghan

ICLR 2025 Large (Vision) Language Models Are Unsupervised In-Context Learners Artyom Gadetsky, Andrei Atanov, Yulun Jiang, Zhitong Gao, Ghazal Hosseini Mighan, Amir Zamir, Maria Brbic

NeurIPS 2024 4m-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities Roman Bachmann, Oğuzhan Fatih Kar, David Mizrahi, Ali Garjani, Mingfei Gao, David Griffiths, Jiaming Hu, Afshin Dehghan, Amir Zamir

ECCV 2024 BRAVE: Broadening the Visual Encoding of Vision-Language Models Oğuzhan Fatih Kar, Alessio Tonioni, Petra Poklukar, Achin Kulshrestha, Amir Zamir, Federico Tombari

ECCV 2024 How Far Can a 1-Pixel Camera Go? Solving Vision Tasks Using Photoreceptors and Computationally Designed Visual Morphology Andrei Atanov, Rishubh Singh, Jiawei Fu, Isabella Yu, Andrew Spielberg, Amir Zamir

ICLR 2024 Unraveling the Key Components of OOD Generalization via Diversification Harold Luc Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir

ECCV 2024 ViPer: Visual Personalization of Generative Models via Individual Preference Learning Sogand Salehi, Mahdi Shafiei, Roman Bachmann, Teresa Yeo, Amir Zamir

NeurIPS 2023 4m: Massively Multimodal Masked Modeling David Mizrahi, Roman Bachmann, Oguzhan Kar, Teresa Yeo, Mingfei Gao, Afshin Dehghan, Amir Zamir

CVPR 2023 Modality-Invariant Visual Odometry for Embodied Vision Marius Memmel, Roman Bachmann, Amir Zamir

ICCV 2023 Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback Teresa Yeo, Oğuzhan Fatih Kar, Zahra Sodagar, Amir Zamir

CVPR 2022 3D Common Corruptions and Data Augmentation Oğuzhan Fatih Kar, Teresa Yeo, Andrei Atanov, Amir Zamir

ICMLW 2022 3D Common Corruptions for Object Recognition Oguzhan Fatih Kar, Teresa Yeo, Amir Zamir

ECCV 2022 MultiMAE: Multi-Modal Multi-Task Masked Autoencoders Roman Bachmann, David Mizrahi, Andrei Atanov, Amir Zamir

NeurIPS 2022 PALMER: Perception - Action Loop with Memory for Long-Horizon Planning Onur Beker, Mohammad Mohammadi, Amir Zamir

NeurIPS 2022 Task Discovery: Finding the Tasks That Neural Networks Generalize on Andrei Atanov, Andrei Filatov, Teresa Yeo, Ajay Sohmshetty, Amir Zamir

ICCV 2021 Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans Ainaz Eftekhar, Alexander Sax, Jitendra Malik, Amir Zamir

ICCV 2021 Robustness via Cross-Domain Ensembles Teresa Yeo, Oğuzhan Fatih Kar, Amir Zamir

CoRL 2020 Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation Bryan Chen, Alexander Sax, Francis Lewis, Iro Armeni, Silvio Savarese, Amir Zamir, Jitendra Malik, Lerrel Pinto

ECCV 2020 Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas Guibas, Jitendra Malik

ICML 2020 Which Tasks Should Be Learned Together in Multi-Task Learning? Trevor Standley, Amir Zamir, Dawn Chen, Leonidas Guibas, Jitendra Malik, Silvio Savarese

CoRL 2019 Learning to Navigate Using Mid-Level Visual Priors Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir Zamir, Silvio Savarese, Leonidas Guibas, Jitendra Malik

IJCAI 2019 Taskonomy: Disentangling Task Transfer Learning Amir Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese

ICCVW 2015 Semantic Cross-View Matching Francesco Castaldo, Amir Zamir, Roland Angst, Francesco Palmieri, Silvio Savarese