Michael J. Tarr

According to our database, Michael J. Tarr authored at least 35 papers between 1993 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset.

Aria Y. Wang, Kendrick N. Kay, Thomas Naselaris, Michael J. Tarr, Leila Wehbe

Nat. Mac. Intell., December, 2023

BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity.

Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe

CoRR, 2023

3D View Prediction Models of the Dorsal Visual Stream.

Gabriel Sarch, Hsiao-Yu Fish Tung, Aria Wang, Jacob Prince, Michael J. Tarr

CoRR, 2023

Thinking Like an Annotator: Generation of Dataset Labeling Instructions.

Nadine Chang, Francesco Ferroni, Michael J. Tarr, Martial Hebert, Deva Ramanan

CoRR, 2023

Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models.

Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr

CoRR, 2023

Quantifying the Roles of Visual, Linguistic, and Visual-Linguistic Complexity in Verb Acquisition.

Yuchen Zhou, Michael J. Tarr, Daniel Yurovsky

CoRR, 2023

Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images.

Gabriel Sarch, Michael J. Tarr, Katerina Fragkiadaki, Leila Wehbe

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models.

Andrew Luo, Maggie Henderson, Leila Wehbe, Michael J. Tarr

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models.

Gabriel Sarch, Yue Wu, Michael J. Tarr, Katerina Fragkiadaki

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Learning Neural Acoustic Fields.

Andrew Luo, Yilun Du, Michael J. Tarr, Josh Tenenbaum, Antonio Torralba, Chuang Gan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors.

Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley, Paul Schydlo, Michael J. Tarr, Saurabh Gupta, Katerina Fragkiadaki

Proceedings of the Computer Vision - ECCV 2022, 2022

2020

Alpha Net: Adaptation with Composition in Classifier Space.

Nadine Chang, Jayanth Koushik, Michael J. Tarr, Martial Hebert, Yu-Xiong Wang

CoRR, 2020

Learning Intermediate Features of Object Affordances with a Convolutional Neural Network.

Aria Yuan Wang, Michael J. Tarr

CoRR, 2020

2019

Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain Activity.

Aria Wang, Michael J. Tarr, Leila Wehbe

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

BOLD5000: A public fMRI dataset of 5000 images.

Nadine Chang, John A. Pyles, Abhinav Gupta, Michael J. Tarr, Elissa M. Aminoff

CoRR, 2018

Challenges and Opportunities in Instrumentation and Use of High-Density EEG for Underserved Regions.

Ashwati Krishnan, Ritesh Kumar, Arnelle Etienne, Amanda K. Robinson, Shawn K. Kelly, Marlene Behrmann, Michael J. Tarr, Pulkit Grover

Proceedings of the Innovations and Interdisciplinary Solutions for Underserved Areas, 2018

2017

Functionally localized representations contain distributed information: insight from simulations of deep convolutional neural networks.

Nicholas Blauch, Elissa Aminoff, Michael J. Tarr

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

A method for real-time visual stimulus selection in the study of cortical object perception.

Daniel D. Leeds, Michael J. Tarr

NeuroImage, 2016

A state-space model of cross-region dynamic connectivity in MEG/EEG.

Ying Yang, Elissa Aminoff, Michael J. Tarr, Robert E. Kass

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Containing errors in computations for neural sensing: Does a hierarchical-referencing strategy lead to energy savings?

Matthew Boring, Shawn K. Kelly, Jeffrey A. Weldon, Michael J. Tarr, Amanda Robinson, Marlene Behrmann, Pulkit Grover

Proceedings of the 2016 Information Theory and Applications Workshop, 2016

2015

Size Precedes View: Developmental Emergence of Invariant Object Representations in Lateral Occipital Complex.

Mayu Nishimura, K. Suzanne Scherf, Valentinos Zachariou, Michael J. Tarr, Marlene Behrmann

J. Cogn. Neurosci., 2015

Applying artificial vision models to human scene understanding.

Elissa Michele Aminoff, Mariya Toneva, Abhinav Shrivastava, Xinlei Chen, Ishan Misra, Abhinav Gupta, Michael J. Tarr

Frontiers Comput. Neurosci., 2015

2014

Exploration of complex visual feature spaces for object perception.

Daniel D. Leeds, John A. Pyles, Michael J. Tarr

Frontiers Comput. Neurosci., 2014

Estimating Learning Effects: A Short-Time Fourier Transform Regression Model for MEG Source Localization.

Ying Yang, Michael J. Tarr, Robert E. Kass

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014

2011

Race-Specific Perceptual Discrimination Improvement Following Short Individuation Training With Faces.

Rankin W. McGugin, James W. Tanaka, Sophie Lebrecht, Michael J. Tarr, Isabel Gauthier

Cogn. Sci., 2011

2008

Identifying faces across variations in lighting: Psychophysics and computation.

Michael J. Tarr, Athinodoros S. Georghiades, Cullen D. Jackson

ACM Trans. Appl. Percept., 2008

2007

Is Region-of-Interest Overlap Comparison a Reliable Measure of Category Specificity?

Chun-Chia Kung, Jessie J. Peissig, Michael J. Tarr

J. Cogn. Neurosci., 2007

2006

Perceptual Expertise Effects Are Not All or None: Spatially Limited Perceptual Expertise for Faces in a Case of Prosopagnosia.

Cindy M. Bukach, Daniel N. Bub, Isabel Gauthier, Michael J. Tarr

J. Cogn. Neurosci., 2006

2005

Comparing 2D Vector Field Visualization Methods: A User Study.

David H. Laidlaw, Robert M. Kirby, Cullen D. Jackson, J. Scott Davidson, Timothy S. Miller, Marco da Silva, William H. Warren, Michael J. Tarr

IEEE Trans. Vis. Comput. Graph., 2005

Behavioral Change and Its Neural Correlates in Visual Agnosia After Expertise Training.

Marlene Behrmann, Jonathan J. Marotta, Isabel Gauthier, Michael J. Tarr, Thomas J. McKeeff

J. Cogn. Neurosci., 2005

2003

Early lateralization and orientation tuning for face, word, and object processing in the visual cortex.

Bruno Rossion, Carrie A. Joyce, Garrison W. Cottrell, Michael J. Tarr

NeuroImage, 2003

2001

Quantitative Comparative Evaluation of 2D Vector Field Visualization Methods.

David H. Laidlaw, Robert M. Kirby, J. Scott Davidson, Timothy S. Miller, Marco da Silva, William H. Warren, Michael J. Tarr

Proceedings of the 12th IEEE Visualization Conference, 2001

1999

Inferring Perceptual Saliency Fields from Viewpoint-Dependent Recognition Data.

Florin Cutzu, Michael J. Tarr

Neural Comput., 1999

1997

Representation of three-dimensional object similarity in human vision.

Florin Cutzu, Michael J. Tarr

Proceedings of the Human Vision and Electronic Imaging II, 1997

1993

Action Representation and Purpose: Re-evaluating the Foundations of Computational Vision.

Michael J. Black, Yiannis Aloimonos, Christopher M. Brown, Ian Horswill, Jitendra Malik, Giulio Sandini, Michael J. Tarr

Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993