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Picture for Gabriel Kreiman

What can human minimal videos tell us about dynamic recognition models?


Apr 19, 2021
Guy Ben-Yosef, Gabriel Kreiman, Shimon Ullman

* Published as a workshop paper at Bridging AI and Cognitive Science (ICLR 2020). Extended paper was published at Cognition 

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Hypothesis-driven Stream Learning with Augmented Memory


Apr 07, 2021
Mengmi Zhang, Rohil Badkundri, Morgan B. Talbot, Gabriel Kreiman


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When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes


Apr 06, 2021
Philipp Bomatter, Mengmi Zhang, Dimitar Karev, Spandan Madan, Claire Tseng, Gabriel Kreiman


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Look Twice: A Computational Model of Return Fixations across Tasks and Species


Jan 05, 2021
Mengmi Zhang, Will Xiao, Olivia Rose, Katarina Bendtz, Margaret Livingstone, Carlos Ponce, Gabriel Kreiman


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Adversarial images for the primate brain


Nov 11, 2020
Li Yuan, Will Xiao, Gabriel Kreiman, Francis E. H. Tay, Jiashi Feng, Margaret S. Livingstone


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What am I Searching for: Zero-shot Target Identity Inference in Visual Search


May 28, 2020
Mengmi Zhang, Gabriel Kreiman

* this was a mistaken new submission and a pointer to arXiv:1807.11926 

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Can Deep Learning Recognize Subtle Human Activities?


Mar 30, 2020
Vincent Jacquot, Zhuofan Ying, Gabriel Kreiman

* poster at CVPR 2020, includes supplementary figures 

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Removable and/or Repeated Units Emerge in Overparametrized Deep Neural Networks


Dec 21, 2019
Stephen Casper, Xavier Boix, Vanessa D'Amario, Ling Guo, Martin Schrimpf, Kasper Vinken, Gabriel Kreiman


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Putting visual object recognition in context


Dec 09, 2019
Mengmi Zhang, Claire Tseng, Gabriel Kreiman

* 8 pages, conference 

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Gradient-free activation maximization for identifying effective stimuli


May 01, 2019
Will Xiao, Gabriel Kreiman

* 16 pages, 8 figures, 3 tables 

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Lift-the-Flap: Context Reasoning Using Object-Centered Graphs


Feb 01, 2019
Mengmi Zhang, Jiashi Feng, Karla Montejo, Joseph Kwon, Joo Hwee Lim, Gabriel Kreiman


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What am I searching for?


Jul 31, 2018
Mengmi Zhang, Jiashi Feng, Joo Hwee Lim, Qi Zhao, Gabriel Kreiman

* 10 pages, 4 figures, 1 table, under review in NIPS 2018 

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Finding any Waldo: zero-shot invariant and efficient visual search


Jul 18, 2018
Mengmi Zhang, Jiashi Feng, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Gabriel Kreiman

* Number of figures: 6 Number of supplementary figures: 14 

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Learning Scene Gist with Convolutional Neural Networks to Improve Object Recognition


Jun 09, 2018
Kevin Wu, Eric Wu, Gabriel Kreiman


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A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception


May 30, 2018
William Lotter, Gabriel Kreiman, David Cox


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Recurrent computations for visual pattern completion


Apr 06, 2018
Hanlin Tang, Martin Schrimpf, Bill Lotter, Charlotte Moerman, Ana Paredes, Josue Ortega Caro, Walter Hardesty, David Cox, Gabriel Kreiman


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On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations


Mar 23, 2017
Nicholas Cheney, Martin Schrimpf, Gabriel Kreiman

* under review at ICML 2017 

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Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning


Mar 01, 2017
William Lotter, Gabriel Kreiman, David Cox

* Code and example video clips can be found here: https://coxlab.github.io/prednet/ 

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Unsupervised Learning of Visual Structure using Predictive Generative Networks


Jan 20, 2016
William Lotter, Gabriel Kreiman, David Cox

* under review as conference paper at ICLR 2016 

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