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Amir Rosenfeld
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Amir Rosenfeld

Google Scholar

Machine Learning /Computer Vision Researcher @ Sony. 

Before that I was a Post-Doctoral fellow in Laboratory for Active and Attentive Vision, York University , Toronto / Vector Institute.

email: amir dot rosenfeld (some-kind-of-pastry) gmail.com

News

2020:

  • Feb: our ICLR Paper featured in MIT news

2019:

  • Dec : One paper accepted to ICLR2020

  • April 29 : Invited talk at Princeton's PIXL Lunch

  • March: Follow up work for "Totally Looks Like"

2018:

  • September: Our work on Perceptual Similarity accepted to ACCV 2018

  • April: One workshop paper and one extended abstract in CVPR 2018; One paper accepted to ICPR 2018

  • Nov: The Elephant in the Room featured in NY times

  • February: Work accepted at VSS 2018

2017:

  • July : Winners of  Visual Decathlon Challenge at CVPR 2017 Pascal In Detail workshop. Talk slides , using our recent method

Media

  • Totally Looks Like mentioned in Quanta Magazine

  • Our work on The Elephant in the Room featured in the news:

    • New York Times: Artificial Intelligence Hits the Barrier of Meaning

    • Quanta Magazine: Machine Learning Confronts the Elephant in the Room

    • The Register: AI image recognition systems can be tricked by copying and pasting random objects

    • jiqizhixin.com: 「房间里的大象」:让目标检测器一脸懵逼

    • Import AI: Fooling object recognition systems by adding more objects

    • Le Scienze: L’elefante nella stanza dell’apprendimento automatico

    • Habrahabr: Machine learning: clash with a room elephant

Publications

A Constructive Prediction of the Generalization Error Across Scales , Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov, Nir Shavit (ICLR 2020)

Intriguing Properties of Randomly Weighted Networks: Generalizing while Learning Next to Nothing , Amir Rosenfeld, John K. Tsotsos (Computer & Robot Vision, 2019 (Oral))

High-Level Perceptual Similarity is Enabled by Learning Diverse Tasks, Amir Rosenfeld, Richard Zemel, John K. Tsotsos (arXiv)

The Elephant in the Room, Amir Rosenfeld, Richard Zemel, John K. Tsotsos (arXiv)

try it yourself, download images used in the paper (be sure to view the readme file)

Youtube demo: https://www.youtube.com/watch?v=qcm3lL4PCC4


Totally Looks Like - How Humans Compare, Compared to Machines, Amir Rosenfeld, Markus D. Solbach, John K. Tsotsos (ACCV 2018; project homepage);

also appeared at Vision Sciences Society,  May 18-23, St. Pete Beach, Florida) poster

Priming Neural Networks Amir Rosenfeld, Mahdi Biparva & John K. Tsotsos (CVPRW 2018, Oral @ MBCC Workshop)

  Challenging Images For Minds and Machines , Amir Rosenfeld, John K. Tsotsos (arXiv)

 Bridging Cognitive Programs and Machine Learning, Amir Rosenfeld, John K. Tsotsos, arXiv) 

2017

Incremental Learning Through Deep Adaptation, Amir Rosenfeld, John K. Tsotsos (to appear, TPAMI)

Action Classification via Concepts and Attributes, Amir Rosenfeld, Shimon Ullman (ICPR 2018)

2016

Visual Concept Recognition and Localization via Iterative Introspection Amir Rosenfeld, Shimon Ullman. (ACCV 2016)  . 

Hand-Object Interaction and Precise Localization in Transitive Action Recognition Amir Rosenfeld, Shimon Ullman. Oral, CRV 2016  FRA_db dataset

2015

Face-space Action Recognition by Face-Object Interactions Amir Rosenfeld, Shimon Ullman. arXiv  

2011

Extracting Foreground Masks towards Object Recognition Amir Rosenfeld, Daphna Weinshall.  ICCV 2011. 

29/10/2012 - a much improved version 2.0 now is available here (~350Kb)

Results on PASCAL2011 trainval set for download here (matlab format,~5Mb)

Invited Talks

  • April 29, 2019: Talk at PIXL lunch, Princeton CS

  • April 2nd, 2018: Talk at Vision Seminar at CSAIL

  • March 18, 2018: Talk at Weizmann Institute / Faculty of Math & CS

  • Visual Decathlon Challenge@CVPR 2017 Pascal In Detail workshop Talk slides

  • BGU Vision Seminar / 2016, Nov 16

  • HUJI Vision Seminar / 2016, June 19

Professional  Service:

  • Reviewer for:

    • Frontiers in Computer Science 2022

    • CVPR 2017-2020

    • ICCV 2017,2019, 2021

    • TPAMI 2017,2018

    • ECCV 2018, 2020

    • AAAI 2020

    • WACV 2019,2020

    • BMVC 2018, 2019

    • Physics and Engineering Panel for PSC CUNY 2018,Neural Processing Letters, 2018


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