Amir Zamir

Amir Zamir

Stanford University

H-index: 38

North America-United States

About Amir Zamir

Amir Zamir, With an exceptional h-index of 38 and a recent h-index of 34 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Computer Vision, Machine Learning, Robotics, AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Controlled Training Data Generation with Diffusion Models

4M: Massively Multimodal Masked Modeling

BRAVE: Broadening the visual encoding of vision-language models

Unraveling the Key Components of OOD Generalization via Diversification

Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback

Modality-invariant Visual Odometry for Embodied Vision

Simple Control Baselines for Evaluating Transfer Learning

Task discovery: Finding the tasks that neural networks generalize on

Amir Zamir Information

University

Position

UC Berkeley

Citations(all)

18162

Citations(since 2020)

14467

Cited By

8605

hIndex(all)

38

hIndex(since 2020)

34

i10Index(all)

45

i10Index(since 2020)

43

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Amir Zamir Skills & Research Interests

Computer Vision

Machine Learning

Robotics

AI

Top articles of Amir Zamir

Title

Journal

Author(s)

Publication Date

Controlled Training Data Generation with Diffusion Models

arXiv preprint arXiv:2403.15309

Teresa Yeo

Andrei Atanov

Harold Benoit

Aleksandr Alekseev

Ruchira Ray

...

2024/3/22

4M: Massively Multimodal Masked Modeling

David Mizrahi

Roman Bachmann

Oguzhan Fatih Kar

Teresa Yeo

Mingfei Gao

...

2023/11/2

BRAVE: Broadening the visual encoding of vision-language models

arXiv preprint arXiv:2404.07204

Oğuzhan Fatih Kar

Alessio Tonioni

Petra Poklukar

Achin Kulshrestha

Amir Zamir

...

2024/4/10

Unraveling the Key Components of OOD Generalization via Diversification

ICLR

Harold Benoit

Liangze Jiang

Andrei Atanov

Oğuzhan Fatih Kar

Mattia Rigotti

...

2024

Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback

Teresa Yeo

Oğuzhan Fatih Kar

Zahra Sodagar

Amir Zamir

2023/9/27

Modality-invariant Visual Odometry for Embodied Vision

Marius Memmel

Roman Bachmann

Amir Zamir

2023

Simple Control Baselines for Evaluating Transfer Learning

arXiv preprint arXiv:2202.03365

Andrei Atanov

Shijian Xu

Onur Beker

Andrei Filatov

Amir Zamir

2022/2/7

Task discovery: Finding the tasks that neural networks generalize on

NeurIPS-22

Andrei Atanov

Andrei Filatov

Teresa Yeo

Ajay Sohmshetty

Amir Zamir

2022/12/1

3d common corruptions and data augmentation

Oğuzhan Fatih Kar

Teresa Yeo

Andrei Atanov

Amir Zamir

2022/3/2

PALMER: Perception-Action Loop with Memory for Long-Horizon Planning

Advances in Neural Information Processing Systems

Onur Beker

Mohammad Mohammadi

Amir Zamir

2022/12/6

MultiMAE: Multi-modal multi-task masked autoencoders

Roman Bachmann

David Mizrahi

Andrei Atanov

Amir Zamir

2022/10/22

Clipasso: Semantically-aware object sketching

ACM Transactions on Graphics (TOG)

Yael Vinker

Ehsan Pajouheshgar

Jessica Y Bo

Roman Christian Bachmann

Amit Haim Bermano

...

2022/7/22

3d common corruptions for object recognition

Oguzhan Fatih Kar

Teresa Yeo

Amir Zamir

2022/7

Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans

Ainaz Eftekhar

Alexander Sax

Jitendra Malik

Amir Zamir

2021

Robustness via cross-domain ensembles

Teresa Yeo*

Oğuzhan Fatih Kar*

Amir Zamir

2021/10

Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation

arXiv preprint arXiv:2011.06698

Bryan Chen

Alexander Sax

Gene Lewis

Iro Armeni

Silvio Savarese

...

2020/11/13

Robust learning through cross-task consistency

arXiv 2020 (CVPR 2020, Best Paper Award Nominee, Oral)

Amir Zamir

Alexander Sax

Teresa Yeo

Oğuzhan Kar

Nikhil Cheerla

...

2020

Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks

Jeffrey O Zhang

Alexander Sax

Amir Zamir

Leonidas Guibas

Jitendra Malik

2020

Which tasks should be learned together in multi-task learning?

Trevor Standley

Amir Zamir

Dawn Chen

Leonidas Guibas

Jitendra Malik

...

2020/11/21

See List of Professors in Amir Zamir University(Stanford University)

Co-Authors

H-index: 148
Leonidas Guibas

Leonidas Guibas

Stanford University

H-index: 132
Mubarak Shah

Mubarak Shah

University of Central Florida

H-index: 105
Silvio Savarese

Silvio Savarese

Stanford University

H-index: 62
Martin Fischer

Martin Fischer

Stanford University

H-index: 10
Alexander (Sasha) Sax

Alexander (Sasha) Sax

University of California, Berkeley

H-index: 7
Oğuzhan Fatih Kár

Oğuzhan Fatih Kár

École Polytechnique Fédérale de Lausanne

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