Michael J. Tarr

50 papers A* 10A 1B 1Misc 1Journal 31Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers. ICLR Andrew F. Luo, Jacob Yeung, Rushikesh Zawar, Shaurya Dewan, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr
2025	J	`jnl`	Grounded Reinforcement Learning for Visual Reasoning. CoRR Gabriel Sarch, Snigdha Saha, Naitik Khandelwal, Ayush Jain, Michael J. Tarr, Aviral Kumar, Katerina Fragkiadaki
2025	J	`jnl`	Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex. CoRR Muquan Yu, Mu Nan, Hossein Adeli, Jacob S. Prince, John A. Pyles, Leila Wehbe, Margaret M. Henderson, Michael J. Tarr, Andrew F. Luo
2025	A*	`conf`	Reanimating Images using Neural Representations of Dynamic Stimuli. CVPR Jacob Yeung, Andrew F. Luo, Gabriel Sarch, Margaret M. Henderson, Deva Ramanan, Michael J. Tarr
2024	J	`jnl`	Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers. CoRR Andrew F. Luo, Jacob Yeung, Rushikesh Zawar, Shaurya Dewan, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr
2024	A*	`conf`	BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity. ICLR Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe
2024	A*	`conf`	Divergences between Language Models and Human Brains. NeurIPS Yuchen Zhou, Emmy Liu, Graham Neubig, Michael J. Tarr, Leila Wehbe
2024	J	`jnl`	HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models. CoRR Gabriel Sarch, Sahil Somani, Raghav Kapoor, Michael J. Tarr, Katerina Fragkiadaki
2024	J	`jnl`	ICAL: Continual Learning of Multimodal Agents by Transforming Trajectories into Actionable Insights. CoRR Gabriel Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino, Katerina Fragkiadaki
2024	J	`jnl`	Neural Representations of Dynamic Visual Stimuli. CoRR Jacob Yeung, Andrew F. Luo, Gabriel Sarch, Margaret M. Henderson, Deva Ramanan, Michael J. Tarr
2024	J	`jnl`	StableSemantics: A Synthetic Language-Vision Dataset of Semantic Representations in Naturalistic Images. CoRR Rushikesh Zawar, Shaurya Dewan, Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe
2024	A*	`conf`	VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought. NeurIPS Gabriel Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino, Katerina Fragkiadaki
2023	J	`jnl`	3D View Prediction Models of the Dorsal Visual Stream. CoRR Gabriel Sarch, Hsiao-Yu Fish Tung, Aria Y. Wang, Jacob S. Prince, Michael J. Tarr
2023	J	`jnl`	Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset. Nat. Mac. Intell. Aria Y. Wang, Kendrick N. Kay, Thomas Naselaris, Michael J. Tarr, Leila Wehbe
2023	A*	`conf`	Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models. NeurIPS Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr
2023	J	`jnl`	Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models. CoRR Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr
2023	A*	`conf`	Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images. NeurIPS Gabriel Sarch, Michael J. Tarr, Katerina Fragkiadaki, Leila Wehbe
2023	J	`jnl`	BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity. CoRR Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe
2023	—	`conf`	Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models. EMNLP (Findings) Gabriel Sarch, Yue Wu, Michael J. Tarr, Katerina Fragkiadaki
2023	J	`jnl`	Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models. CoRR Gabriel Sarch, Yue Wu, Michael J. Tarr, Katerina Fragkiadaki
2023	J	`jnl`	Quantifying the Roles of Visual, Linguistic, and Visual-Linguistic Complexity in Verb Acquisition. CoRR Yuchen Zhou, Michael J. Tarr, Daniel Yurovsky
2023	J	`jnl`	Thinking Like an Annotator: Generation of Dataset Labeling Instructions. CoRR Nadine Chang, Francesco Ferroni, Michael J. Tarr, Martial Hebert, Deva Ramanan
2022	A*	`conf`	Learning Neural Acoustic Fields. NeurIPS Andrew F. Luo, Yilun Du, Michael J. Tarr, Josh Tenenbaum, Antonio Torralba, Chuang Gan
2022	J	`jnl`	Learning Neural Acoustic Fields. CoRR Andrew F. Luo, Yilun Du, Michael J. Tarr, Joshua B. Tenenbaum, Antonio Torralba, Chuang Gan
2022	—	`conf`	TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors. ECCV (39) Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley, Paul Schydlo, Michael J. Tarr, Saurabh Gupta, Katerina Fragkiadaki
2022	J	`jnl`	TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors. CoRR Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley, Paul Schydlo, Michael J. Tarr, Saurabh Gupta, Katerina Fragkiadaki
2020	J	`jnl`	Alpha Net: Adaptation with Composition in Classifier Space. CoRR Nadine Chang, Jayanth Koushik, Michael J. Tarr, Martial Hebert, Yu-Xiong Wang
2020	J	`jnl`	Learning Intermediate Features of Object Affordances with a Convolutional Neural Network. CoRR Aria Yuan Wang, Michael J. Tarr
2019	A*	`conf`	Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain Activity. NeurIPS Aria Y. Wang, Michael J. Tarr, Leila Wehbe
2018	J	`jnl`	BOLD5000: A public fMRI dataset of 5000 images. CoRR Nadine Chang, John A. Pyles, Abhinav Gupta, Michael J. Tarr, Elissa M. Aminoff
2018	—	`conf`	Challenges and Opportunities in Instrumentation and Use of High-Density EEG for Underserved Regions. InterSol Ashwati Krishnan, Ritesh Kumar, Arnelle Etienne, Amanda K. Robinson, Shawn K. Kelly, Marlene Behrmann, Michael J. Tarr, Pulkit Grover
2017	B	`conf`	Functionally localized representations contain distributed information: insight from simulations of deep convolutional neural networks. CogSci Nicholas Blauch, Elissa Aminoff, Michael J. Tarr
2016	J	`jnl`	A method for real-time visual stimulus selection in the study of cortical object perception. NeuroImage Daniel D. Leeds, Michael J. Tarr
2016	—	`conf`	A state-space model of cross-region dynamic connectivity in MEG/EEG. NIPS Ying Yang, Elissa Aminoff, Michael J. Tarr, Robert E. Kass
2016	Misc	`conf`	Containing errors in computations for neural sensing: Does a hierarchical-referencing strategy lead to energy savings? ITA Matthew Boring, Shawn K. Kelly, Jeffrey A. Weldon, Michael J. Tarr, Amanda Robinson, Marlene Behrmann, Pulkit Grover
2015	J	`jnl`	Applying artificial vision models to human scene understanding. Frontiers Comput. Neurosci. Elissa Michele Aminoff, Mariya Toneva, Abhinav Shrivastava, Xinlei Chen, Ishan Misra, Abhinav Gupta, Michael J. Tarr
2015	J	`jnl`	Size Precedes View: Developmental Emergence of Invariant Object Representations in Lateral Occipital Complex. J. Cogn. Neurosci. Mayu Nishimura, K. Suzanne Scherf, Valentinos Zachariou, Michael J. Tarr, Marlene Behrmann
2014	—	`conf`	Estimating Learning Effects: A Short-Time Fourier Transform Regression Model for MEG Source Localization. MLINI@NIPS Ying Yang, Michael J. Tarr, Robert E. Kass
2014	J	`jnl`	Exploration of complex visual feature spaces for object perception. Frontiers Comput. Neurosci. Daniel D. Leeds, John A. Pyles, Michael J. Tarr
2011	J	`jnl`	Race-Specific Perceptual Discrimination Improvement Following Short Individuation Training With Faces. Cogn. Sci. Rankin W. McGugin, James W. Tanaka, Sophie Lebrecht, Michael J. Tarr, Isabel Gauthier
2008	J	`jnl`	Identifying faces across variations in lighting: Psychophysics and computation. ACM Trans. Appl. Percept. Michael J. Tarr, Athinodoros S. Georghiades, Cullen D. Jackson
2007	J	`jnl`	Is Region-of-Interest Overlap Comparison a Reliable Measure of Category Specificity? J. Cogn. Neurosci. Chun-Chia Kung, Jessie J. Peissig, Michael J. Tarr
2006	J	`jnl`	Perceptual Expertise Effects Are Not All or None: Spatially Limited Perceptual Expertise for Faces in a Case of Prosopagnosia. J. Cogn. Neurosci. Cindy M. Bukach, Daniel N. Bub, Isabel Gauthier, Michael J. Tarr
2005	J	`jnl`	Behavioral Change and Its Neural Correlates in Visual Agnosia After Expertise Training. J. Cogn. Neurosci. Marlene Behrmann, Jonathan J. Marotta, Isabel Gauthier, Michael J. Tarr, Thomas J. McKeeff
2005	J	`jnl`	Comparing 2D Vector Field Visualization Methods: A User Study. IEEE Trans. Vis. Comput. Graph. David H. Laidlaw, Robert M. Kirby, Cullen D. Jackson, J. Scott Davidson, Timothy S. Miller, Marco da Silva, William H. Warren, Michael J. Tarr
2003	J	`jnl`	Early lateralization and orientation tuning for face, word, and object processing in the visual cortex. NeuroImage Bruno Rossion, Carrie A. Joyce, Garrison W. Cottrell, Michael J. Tarr
2001	A	`conf`	Quantitative Comparative Evaluation of 2D Vector Field Visualization Methods. IEEE Visualization David H. Laidlaw, Robert M. Kirby, J. Scott Davidson, Timothy S. Miller, Marco da Silva, William H. Warren, Michael J. Tarr
1999	J	`jnl`	Inferring Perceptual Saliency Fields from Viewpoint-Dependent Recognition Data. Neural Comput. Florin Cutzu, Michael J. Tarr
1997	—	`conf`	Representation of three-dimensional object similarity in human vision. Human Vision and Electronic Imaging Florin Cutzu, Michael J. Tarr
1993	A*	`conf`	Action Representation and Purpose: Re-evaluating the Foundations of Computational Vision. IJCAI Michael J. Black, Yiannis Aloimonos, Christopher M. Brown, Ian Horswill, Jitendra Malik, Giulio Sandini, Michael J. Tarr