Amir Zamir
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
8
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Large (Vision) Language Models are Unsupervised In-Context Learners. | Artyom Gadetsky, Andrei Atanov, Yulun Jiang, Zhitong Gao, Ghazal Hosseini Mighan, Amir Zamir, Maria Brbic |
| 2025 | ICML | FlexTok: Resampling Images into 1D Token Sequences of Flexible Length. | Roman Bachmann, Jesse Allardice, David Mizrahi, Enrico Fini, Oguzhan Fatih Kar, Elmira Amirloo, Alaaeldin El-Nouby, Amir Zamir, Afshin Dehghan |
| 2024 | ECCV | How Far Can a 1-Pixel Camera Go? Solving Vision Tasks Using Photoreceptors and Computationally Designed Visual Morphology. | Andrei Atanov, Jiawei Fu, Rishubh Singh, Isabella Yu, Andrew Spielberg, Amir Zamir |
| 2024 | ECCV | BRAVE: Broadening the Visual Encoding of Vision-Language Models. | Oguzhan Fatih Kar, Alessio Tonioni, Petra Poklukar, Achin Kulshrestha, Amir Zamir, Federico Tombari |
| 2024 | ECCV | ViPer: Visual Personalization of Generative Models via Individual Preference Learning. | Sogand Salehi, Mahdi Shafiei, Teresa Yeo, Roman Bachmann, Amir Zamir |
| 2024 | ICLR | Unraveling the Key Components of OOD Generalization via Diversification. | Harold Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir |
| 2023 | CVPR | Modality-invariant Visual Odometry for Embodied Vision. | Marius Memmel, Roman Bachmann, Amir Zamir |
| 2023 | ICCV | Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback. | Teresa Yeo, Oguzhan Fatih Kar, Zahra Sodagar, Amir Zamir |
| 2022 | CVPR | 3D Common Corruptions and Data Augmentation. | Oguzhan Fatih Kar, Teresa Yeo, Andrei Atanov, Amir Zamir |
| 2022 | ECCV | MultiMAE: Multi-modal Multi-task Masked Autoencoders. | Roman Bachmann, David Mizrahi, Andrei Atanov, Amir Zamir |
| 2021 | ICCV | Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans. | Ainaz Eftekhar, Alexander Sax, Jitendra Malik, Amir Zamir |
| 2021 | ICCV | Robustness via Cross-Domain Ensembles. | Teresa Yeo, Oguzhan Fatih Kar, Amir Zamir |
| 2020 | CoRL | 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 |
| 2020 | ECCV | Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks. | Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas J. Guibas, Jitendra Malik |
| 2020 | ICML | Which Tasks Should Be Learned Together in Multi-task Learning? | Trevor Standley, Amir Zamir, Dawn Chen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese |
| 2019 | CoRL | Learning to Navigate Using Mid-Level Visual Priors. | Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir Zamir, Silvio Savarese, Leonidas J. Guibas, Jitendra Malik |
| 2019 | ICCV | 3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera. | Iro Armeni, Zhi-Yang He, Amir Zamir, JunYoung Gwak, Jitendra Malik, Martin Fischer, Silvio Savarese |
| 2019 | ICIP | An Information-Theoretic Approach to Transferability in Task Transfer Learning. | Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Zamir, Leonidas J. Guibas |
| 2019 | IJCAI | Taskonomy: Disentangling Task Transfer Learning. | Amir Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese |