Amir Zamir

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 27

Top Topics

Symbol Grounding

Transfer Learning

Diffusion Models

Top Venues

Publications

Sogand Salehi, Mahdi Shafiei, Teresa Yeo, Roman Bachmann, Amir Zamir
ViPer: Visual Personalization of Generative Models via Individual Preference Learning. CoRR (2024)
Andrei Atanov, Jiawei Fu, Rishubh Singh, Isabella Yu, Andrew Spielberg, Amir Zamir
Solving Vision Tasks with Simple Photoreceptors Instead of Cameras. CoRR (2024)
Roman Bachmann, Oguzhan Fatih Kar, David Mizrahi, Ali Garjani, Mingfei Gao, David Griffiths, Jiaming Hu, Afshin Dehghan, Amir Zamir
4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities. CoRR (2024)
Oguzhan Fatih Kar, Alessio Tonioni, Petra Poklukar, Achin Kulshrestha, Amir Zamir, Federico Tombari
BRAVE: Broadening the visual encoding of vision-language models. CoRR (2024)
Harold Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir
Unraveling the Key Components of OOD Generalization via Diversification. ICLR (2024)
Teresa Yeo, Andrei Atanov, Harold Benoit, Aleksandr Alekseev, Ruchira Ray, Pooya Esmaeil Akhoondi, Amir Zamir
Controlled Training Data Generation with Diffusion Models. CoRR (2024)
Marius Memmel, Roman Bachmann, Amir Zamir
Modality-invariant Visual Odometry for Embodied Vision. CoRR (2023)
David Mizrahi, Roman Bachmann, Oguzhan Fatih Kar, Teresa Yeo, Mingfei Gao, Afshin Dehghan, Amir Zamir
4M: Massively Multimodal Masked Modeling. CoRR (2023)
Teresa Yeo, Oguzhan Fatih Kar, Zahra Sodagar, Amir Zamir
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback. ICCV (2023)
Harold Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir
Unraveling the Key Components of OOD Generalization via Diversification. CoRR (2023)
Marius Memmel, Roman Bachmann, Amir Zamir
Modality-invariant Visual Odometry for Embodied Vision. CVPR (2023)
Teresa Yeo, Oguzhan Fatih Kar, Zahra Sodagar, Amir Zamir
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback. CoRR (2023)
David Mizrahi, Roman Bachmann, Oguzhan Fatih Kar, Teresa Yeo, Mingfei Gao, Afshin Dehghan, Amir Zamir
4M: Massively Multimodal Masked Modeling. NeurIPS (2023)
Yael Vinker, Ehsan Pajouheshgar, Jessica Y. Bo, Roman Christian Bachmann, Amit Haim Bermano, Daniel Cohen-Or, Amir Zamir, Ariel Shamir
CLIPasso: semantically-aware object sketching. ACM Trans. Graph. 41 (4) (2022)
Oguzhan Fatih Kar, Teresa Yeo, Andrei Atanov, Amir Zamir
3D Common Corruptions and Data Augmentation. CoRR (2022)
Andrei Atanov, Shijian Xu, Onur Beker, Andrei Filatov, Amir Zamir
Simple Control Baselines for Evaluating Transfer Learning. CoRR (2022)
Yael Vinker, Ehsan Pajouheshgar, Jessica Y. Bo, Roman Christian Bachmann, Amit Haim Bermano, Daniel Cohen-Or, Amir Zamir, Ariel Shamir
CLIPasso: Semantically-Aware Object Sketching. CoRR (2022)
Oguzhan Fatih Kar, Teresa Yeo, Andrei Atanov, Amir Zamir
3D Common Corruptions and Data Augmentation. CVPR (2022)
Roman Bachmann, David Mizrahi, Andrei Atanov, Amir Zamir
MultiMAE: Multi-modal Multi-task Masked Autoencoders. ECCV (37) (2022)
Andrei Atanov, Andrei Filatov, Teresa Yeo, Ajay Sohmshetty, Amir Zamir
Task Discovery: Finding the Tasks that Neural Networks Generalize on. NeurIPS (2022)
Onur Beker, Mohammad Mohammadi, Amir Zamir
PALMER: Perception - Action Loop with Memory for Long-Horizon Planning. NeurIPS (2022)
Onur Beker, Mohammad Mohammadi, Amir Zamir
PALMER: Perception-Action Loop with Memory for Long-Horizon Planning. CoRR (2022)
Roman Bachmann, David Mizrahi, Andrei Atanov, Amir Zamir
MultiMAE: Multi-modal Multi-task Masked Autoencoders. CoRR (2022)
Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Zamir, Leonidas J. Guibas
An Information-Theoretic Approach to Transferability in Task Transfer Learning. CoRR (2022)
Andrei Atanov, Andrei Filatov, Teresa Yeo, Ajay Sohmshetty, Amir Zamir
Task Discovery: Finding the Tasks that Neural Networks Generalize on. CoRR (2022)
Teresa Yeo, Oguzhan Fatih Kar, Amir Zamir
Robustness via Cross-Domain Ensembles. ICCV (2021)
Ainaz Eftekhar, Alexander Sax, Jitendra Malik, Amir Zamir
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans. ICCV (2021)