Michael J. Tarr

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 28

Top Topics

Natural Language

Convolutional Neural Networks

Top Venues

Frontiers Comput. Neurosci.

Publications

Gabriel Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino, Katerina Fragkiadaki
ICAL: Continual Learning of Multimodal Agents by Transforming Trajectories into Actionable Insights. CoRR (2024)
Rushikesh Zawar, Shaurya Dewan, Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe
StableSemantics: A Synthetic Language-Vision Dataset of Semantic Representations in Naturalistic Images. CoRR (2024)
Gabriel Sarch, Sahil Somani, Raghav Kapoor, Michael J. Tarr, Katerina Fragkiadaki
HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models. CoRR (2024)
Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe
BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity. ICLR (2024)
Jacob Yeung, Andrew F. Luo, Gabriel Sarch, Margaret M. Henderson, Deva Ramanan, Michael J. Tarr
Neural Representations of Dynamic Visual Stimuli. CoRR (2024)
Nadine Chang, Francesco Ferroni, Michael J. Tarr, Martial Hebert, Deva Ramanan
Thinking Like an Annotator: Generation of Dataset Labeling Instructions. CoRR (2023)
Gabriel Sarch, Michael J. Tarr, Katerina Fragkiadaki, Leila Wehbe
Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images. NeurIPS (2023)
Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models. CoRR (2023)
Gabriel Sarch, Yue Wu, Michael J. Tarr, Katerina Fragkiadaki
Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models. EMNLP (Findings) (2023)
Gabriel Sarch, Hsiao-Yu Fish Tung, Aria Wang, Jacob Prince, Michael J. Tarr
3D View Prediction Models of the Dorsal Visual Stream. CoRR (2023)
Gabriel Sarch, Yue Wu, Michael J. Tarr, Katerina Fragkiadaki
Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models. CoRR (2023)
Yuchen Zhou, Michael J. Tarr, Daniel Yurovsky
Quantifying the Roles of Visual, Linguistic, and Visual-Linguistic Complexity in Verb Acquisition. CoRR (2023)
Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe
BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity. CoRR (2023)
Andrew Luo, Maggie Henderson, Leila Wehbe, Michael J. Tarr
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models. NeurIPS (2023)
Aria Y. Wang, Kendrick N. Kay, Thomas Naselaris, Michael J. Tarr, Leila Wehbe
Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset. Nat. Mac. Intell. 5 (12) (2023)
Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley, Paul Schydlo, Michael J. Tarr, Saurabh Gupta, Katerina Fragkiadaki
TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors. CoRR (2022)
Andrew Luo, Yilun Du, Michael J. Tarr, Josh Tenenbaum, Antonio Torralba, Chuang Gan
Learning Neural Acoustic Fields. NeurIPS (2022)
Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley, Paul Schydlo, Michael J. Tarr, Saurabh Gupta, Katerina Fragkiadaki
TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors. ECCV (39) (2022)
Andrew Luo, Yilun Du, Michael J. Tarr, Joshua B. Tenenbaum, Antonio Torralba, Chuang Gan
Learning Neural Acoustic Fields. CoRR (2022)
Nadine Chang, Jayanth Koushik, Michael J. Tarr, Martial Hebert, Yu-Xiong Wang
Alpha Net: Adaptation with Composition in Classifier Space. CoRR (2020)
Aria Yuan Wang, Michael J. Tarr
Learning Intermediate Features of Object Affordances with a Convolutional Neural Network. CoRR (2020)
Aria Wang, Michael J. Tarr, Leila Wehbe
Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain Activity. NeurIPS (2019)
Ashwati Krishnan, Ritesh Kumar, Arnelle Etienne, Amanda K. Robinson, Shawn K. Kelly, Marlene Behrmann, Michael J. Tarr, Pulkit Grover
Challenges and Opportunities in Instrumentation and Use of High-Density EEG for Underserved Regions. InterSol (2018)
Nadine Chang, John A. Pyles, Abhinav Gupta, Michael J. Tarr, Elissa M. Aminoff
BOLD5000: A public fMRI dataset of 5000 images. CoRR (2018)
Nicholas Blauch, Elissa Aminoff, Michael J. Tarr
Functionally localized representations contain distributed information: insight from simulations of deep convolutional neural networks. CogSci (2017)
Daniel D. Leeds, Michael J. Tarr
A method for real-time visual stimulus selection in the study of cortical object perception. NeuroImage 133 (2016)
Matthew Boring, Shawn K. Kelly, Jeffrey A. Weldon, Michael J. Tarr, Amanda Robinson, Marlene Behrmann, Pulkit Grover
Containing errors in computations for neural sensing: Does a hierarchical-referencing strategy lead to energy savings? ITA (2016)
Ying Yang, Elissa Aminoff, Michael J. Tarr, Robert E. Kass
A state-space model of cross-region dynamic connectivity in MEG/EEG. NIPS (2016)
Elissa Michele Aminoff, Mariya Toneva, Abhinav Shrivastava, Xinlei Chen, Ishan Misra, Abhinav Gupta, Michael J. Tarr
Applying artificial vision models to human scene understanding. Frontiers Comput. Neurosci. 9 (2015)
Mayu Nishimura, K. Suzanne Scherf, Valentinos Zachariou, Michael J. Tarr, Marlene Behrmann
Size Precedes View: Developmental Emergence of Invariant Object Representations in Lateral Occipital Complex. J. Cogn. Neurosci. 27 (3) (2015)
Ying Yang, Michael J. Tarr, Robert E. Kass
Estimating Learning Effects: A Short-Time Fourier Transform Regression Model for MEG Source Localization. MLINI@NIPS (2014)
Daniel D. Leeds, John A. Pyles, Michael J. Tarr
Exploration of complex visual feature spaces for object perception. Frontiers Comput. Neurosci. 8 (2014)
Rankin W. McGugin, James W. Tanaka, Sophie Lebrecht, Michael J. Tarr, Isabel Gauthier
Race-Specific Perceptual Discrimination Improvement Following Short Individuation Training With Faces. Cogn. Sci. 35 (2) (2011)
Michael J. Tarr, Athinodoros S. Georghiades, Cullen D. Jackson
Identifying faces across variations in lighting: Psychophysics and computation. ACM Trans. Appl. Percept. 5 (2) (2008)
Chun-Chia Kung, Jessie J. Peissig, Michael J. Tarr
Is Region-of-Interest Overlap Comparison a Reliable Measure of Category Specificity? J. Cogn. Neurosci. 19 (12) (2007)
Cindy M. Bukach, Daniel N. Bub, Isabel Gauthier, Michael J. Tarr
Perceptual Expertise Effects Are Not All or None: Spatially Limited Perceptual Expertise for Faces in a Case of Prosopagnosia. J. Cogn. Neurosci. 18 (1) (2006)
David H. Laidlaw, Robert M. Kirby, Cullen D. Jackson, J. Scott Davidson, Timothy S. Miller, Marco da Silva, William H. Warren, Michael J. Tarr
Comparing 2D Vector Field Visualization Methods: A User Study. IEEE Trans. Vis. Comput. Graph. 11 (1) (2005)
Marlene Behrmann, Jonathan J. Marotta, Isabel Gauthier, Michael J. Tarr, Thomas J. McKeeff
Behavioral Change and Its Neural Correlates in Visual Agnosia After Expertise Training. J. Cogn. Neurosci. 17 (4) (2005)
Bruno Rossion, Carrie A. Joyce, Garrison W. Cottrell, Michael J. Tarr
Early lateralization and orientation tuning for face, word, and object processing in the visual cortex. NeuroImage 20 (3) (2003)
David H. Laidlaw, Robert M. Kirby, J. Scott Davidson, Timothy S. Miller, Marco da Silva, William H. Warren, Michael J. Tarr
Quantitative Comparative Evaluation of 2D Vector Field Visualization Methods. IEEE Visualization (2001)
Florin Cutzu, Michael J. Tarr
Inferring Perceptual Saliency Fields from Viewpoint-Dependent Recognition Data. Neural Comput. 11 (6) (1999)
Florin Cutzu, Michael J. Tarr
Representation of three-dimensional object similarity in human vision. Human Vision and Electronic Imaging (1997)
Michael J. Black, Yiannis Aloimonos, Christopher M. Brown, Ian Horswill, Jitendra Malik, Giulio Sandini, Michael J. Tarr
Action Representation and Purpose: Re-evaluating the Foundations of Computational Vision. IJCAI (1993)