Amir Zamir - RankMe

53 papers A* 15B 1Misc 2Journal 29Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Controlled Training Data Generation with Diffusion Models. Trans. Mach. Learn. Res. Teresa Yeo, Andrei Atanov, Harold Benoit, Aleksandr Alekseev, Ruchira Ray, Pooya Esmaeil Akhoondi, Amir Zamir
2025	A*	`conf`	FlexTok: Resampling Images into 1D Token Sequences of Flexible Length. ICML Roman Bachmann, Jesse Allardice, David Mizrahi, Enrico Fini, Oguzhan Fatih Kar, Elmira Amirloo, Alaaeldin El-Nouby, Amir Zamir, Afshin Dehghan
2025	J	`jnl`	FlexTok: Resampling Images into 1D Token Sequences of Flexible Length. CoRR Roman Bachmann, Jesse Allardice, David Mizrahi, Enrico Fini, Oguzhan Fatih Kar, Elmira Amirloo, Alaaeldin El-Nouby, Amir Zamir, Afshin Dehghan
2025	J	`jnl`	How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks. CoRR Rahul Ramachandran, Ali Garjani, Roman Bachmann, Andrei Atanov, Oguzhan Fatih Kar, Amir Zamir
2025	A*	`conf`	Large (Vision) Language Models are Unsupervised In-Context Learners. ICLR Artyom Gadetsky, Andrei Atanov, Yulun Jiang, Zhitong Gao, Ghazal Hosseini Mighan, Amir Zamir, Maria Brbic
2025	J	`jnl`	Large (Vision) Language Models are Unsupervised In-Context Learners. CoRR Artyom Gadetsky, Andrei Atanov, Yulun Jiang, Zhitong Gao, Ghazal Hosseini Mighan, Amir Zamir, Maria Brbic
2024	A*	`conf`	4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities. NeurIPS Roman Bachmann, Oguzhan Fatih Kar, David Mizrahi, Ali Garjani, Mingfei Gao, David Griffiths, Jiaming Hu, Afshin Dehghan, Amir Zamir
2024	J	`jnl`	4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities. CoRR Roman Bachmann, Oguzhan Fatih Kar, David Mizrahi, Ali Garjani, Mingfei Gao, David Griffiths, Jiaming Hu, Afshin Dehghan, Amir Zamir
2024	—	`conf`	BRAVE: Broadening the Visual Encoding of Vision-Language Models. ECCV (16) Oguzhan Fatih Kar, Alessio Tonioni, Petra Poklukar, Achin Kulshrestha, Amir Zamir, Federico Tombari
2024	J	`jnl`	BRAVE: Broadening the visual encoding of vision-language models. CoRR Oguzhan Fatih Kar, Alessio Tonioni, Petra Poklukar, Achin Kulshrestha, Amir Zamir, Federico Tombari
2024	J	`jnl`	Controlled Training Data Generation with Diffusion Models. CoRR Teresa Yeo, Andrei Atanov, Harold Benoit, Aleksandr Alekseev, Ruchira Ray, Pooya Esmaeil Akhoondi, Amir Zamir
2024	—	`conf`	How Far Can a 1-Pixel Camera Go? Solving Vision Tasks Using Photoreceptors and Computationally Designed Visual Morphology. ECCV (74) Andrei Atanov, Jiawei Fu, Rishubh Singh, Isabella Yu, Andrew Spielberg, Amir Zamir
2024	J	`jnl`	Solving Vision Tasks with Simple Photoreceptors Instead of Cameras. CoRR Andrei Atanov, Jiawei Fu, Rishubh Singh, Isabella Yu, Andrew Spielberg, Amir Zamir
2024	A*	`conf`	Unraveling the Key Components of OOD Generalization via Diversification. ICLR Harold Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir
2024	—	`conf`	ViPer: Visual Personalization of Generative Models via Individual Preference Learning. ECCV (74) Sogand Salehi, Mahdi Shafiei, Teresa Yeo, Roman Bachmann, Amir Zamir
2024	J	`jnl`	ViPer: Visual Personalization of Generative Models via Individual Preference Learning. CoRR Sogand Salehi, Mahdi Shafiei, Teresa Yeo, Roman Bachmann, Amir Zamir
2023	A*	`conf`	4M: Massively Multimodal Masked Modeling. NeurIPS David Mizrahi, Roman Bachmann, Oguzhan Fatih Kar, Teresa Yeo, Mingfei Gao, Afshin Dehghan, Amir Zamir
2023	J	`jnl`	4M: Massively Multimodal Masked Modeling. CoRR David Mizrahi, Roman Bachmann, Oguzhan Fatih Kar, Teresa Yeo, Mingfei Gao, Afshin Dehghan, Amir Zamir
2023	A*	`conf`	Modality-invariant Visual Odometry for Embodied Vision. CVPR Marius Memmel, Roman Bachmann, Amir Zamir
2023	J	`jnl`	Modality-invariant Visual Odometry for Embodied Vision. CoRR Marius Memmel, Roman Bachmann, Amir Zamir
2023	A*	`conf`	Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback. ICCV Teresa Yeo, Oguzhan Fatih Kar, Zahra Sodagar, Amir Zamir
2023	J	`jnl`	Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback. CoRR Teresa Yeo, Oguzhan Fatih Kar, Zahra Sodagar, Amir Zamir
2023	J	`jnl`	Unraveling the Key Components of OOD Generalization via Diversification. CoRR Harold Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir
2022	A*	`conf`	3D Common Corruptions and Data Augmentation. CVPR Oguzhan Fatih Kar, Teresa Yeo, Andrei Atanov, Amir Zamir
2022	J	`jnl`	3D Common Corruptions and Data Augmentation. CoRR Oguzhan Fatih Kar, Teresa Yeo, Andrei Atanov, Amir Zamir
2022	J	`jnl`	An Information-Theoretic Approach to Transferability in Task Transfer Learning. CoRR Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Zamir, Leonidas J. Guibas
2022	J	`jnl`	CLIPasso: Semantically-Aware Object Sketching. CoRR Yael Vinker, Ehsan Pajouheshgar, Jessica Y. Bo, Roman Christian Bachmann, Amit Haim Bermano, Daniel Cohen-Or, Amir Zamir, Ariel Shamir
2022	J	`jnl`	CLIPasso: semantically-aware object sketching. ACM Trans. Graph. Yael Vinker, Ehsan Pajouheshgar, Jessica Y. Bo, Roman Christian Bachmann, Amit Haim Bermano, Daniel Cohen-Or, Amir Zamir, Ariel Shamir
2022	—	`conf`	MultiMAE: Multi-modal Multi-task Masked Autoencoders. ECCV (37) Roman Bachmann, David Mizrahi, Andrei Atanov, Amir Zamir
2022	J	`jnl`	MultiMAE: Multi-modal Multi-task Masked Autoencoders. CoRR Roman Bachmann, David Mizrahi, Andrei Atanov, Amir Zamir
2022	A*	`conf`	PALMER: Perception - Action Loop with Memory for Long-Horizon Planning. NeurIPS Onur Beker, Mohammad Mohammadi, Amir Zamir
2022	J	`jnl`	PALMER: Perception-Action Loop with Memory for Long-Horizon Planning. CoRR Onur Beker, Mohammad Mohammadi, Amir Zamir
2022	J	`jnl`	Simple Control Baselines for Evaluating Transfer Learning. CoRR Andrei Atanov, Shijian Xu, Onur Beker, Andrei Filatov, Amir Zamir
2022	A*	`conf`	Task Discovery: Finding the Tasks that Neural Networks Generalize on. NeurIPS Andrei Atanov, Andrei Filatov, Teresa Yeo, Ajay Sohmshetty, Amir Zamir
2022	J	`jnl`	Task Discovery: Finding the Tasks that Neural Networks Generalize on. CoRR Andrei Atanov, Andrei Filatov, Teresa Yeo, Ajay Sohmshetty, Amir Zamir
2021	A*	`conf`	Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans. ICCV Ainaz Eftekhar, Alexander Sax, Jitendra Malik, Amir Zamir
2021	J	`jnl`	Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans. CoRR Ainaz Eftekhar, Alexander Sax, Roman Bachmann, Jitendra Malik, Amir Zamir
2021	A*	`conf`	Robustness via Cross-Domain Ensembles. ICCV Teresa Yeo, Oguzhan Fatih Kar, Amir Zamir
2021	J	`jnl`	Robustness via Cross-Domain Ensembles. CoRR Teresa Yeo, Oguzhan Fatih Kar, Amir Zamir
2020	Misc	`conf`	Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation. CoRL Bryan Chen, Alexander Sax, Francis Lewis, Iro Armeni, Silvio Savarese, Amir Zamir, Jitendra Malik, Lerrel Pinto
2020	J	`jnl`	Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation. CoRR Bryan Chen, Alexander Sax, Gene Lewis, Iro Armeni, Silvio Savarese, Amir Zamir, Jitendra Malik, Lerrel Pinto
2020	—	`conf`	Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks. ECCV (3) Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas J. Guibas, Jitendra Malik
2020	A*	`conf`	Which Tasks Should Be Learned Together in Multi-task Learning? ICML Trevor Standley, Amir Zamir, Dawn Chen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese
2019	A*	`conf`	3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera. ICCV Iro Armeni, Zhi-Yang He, Amir Zamir, JunYoung Gwak, Jitendra Malik, Martin Fischer, Silvio Savarese
2019	B	`conf`	An Information-Theoretic Approach to Transferability in Task Transfer Learning. ICIP Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Zamir, Leonidas J. Guibas
2019	Misc	`conf`	Learning to Navigate Using Mid-Level Visual Priors. CoRL Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir Zamir, Silvio Savarese, Leonidas J. Guibas, Jitendra Malik
2019	J	`jnl`	Learning to Navigate Using Mid-Level Visual Priors. CoRR Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir Zamir, Silvio Savarese, Leonidas J. Guibas, Jitendra Malik
2019	J	`jnl`	Side-Tuning: Network Adaptation via Additive Side Networks. CoRR Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas J. Guibas, Jitendra Malik
2019	A*	`conf`	Taskonomy: Disentangling Task Transfer Learning. IJCAI Amir Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese
2019	J	`jnl`	Which Tasks Should Be Learned Together in Multi-task Learning? CoRR Trevor Standley, Amir Zamir, Dawn Chen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese
2018	J	`jnl`	Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Active Tasks. CoRR Alexander Sax, Bradley Emi, Amir Zamir, Leonidas J. Guibas, Silvio Savarese, Jitendra Malik
2015	—	`conf`	Semantic Cross-View Matching. ICCV Workshops Francesco Castaldo, Amir Zamir, Roland Angst, Francesco Palmieri, Silvio Savarese
2015	J	`jnl`	Semantic Cross-View Matching. CoRR Francesco Castaldo, Amir Zamir, Roland Angst, Francesco Palmieri, Silvio Savarese