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Michael J. Tarr
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2020 – today
- 2024
- [c15]Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe:
BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity. ICLR 2024 - [i15]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 abs/2404.19065 (2024) - [i14]Jacob Yeung, Andrew F. Luo, Gabriel Sarch, Margaret M. Henderson, Deva Ramanan, Michael J. Tarr:
Neural Representations of Dynamic Visual Stimuli. CoRR abs/2406.02659 (2024) - [i13]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 abs/2406.13735 (2024) - [i12]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 abs/2406.14596 (2024) - 2023
- [j13]Aria Y. Wang, Kendrick N. Kay
, Thomas Naselaris, Michael J. Tarr
Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset. Nat. Mac. Intell. 5(12): 1415-1426 (2023) - [c14]Gabriel Sarch, Yue Wu, Michael J. Tarr, Katerina Fragkiadaki:
Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models. EMNLP (Findings) 2023: 3468-3500 - [c13]Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr:
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models. NeurIPS 2023 - [c12]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 - [i11]Yuchen Zhou, Michael J. Tarr, Daniel Yurovsky:
Quantifying the Roles of Visual, Linguistic, and Visual-Linguistic Complexity in Verb Acquisition. CoRR abs/2304.02492 (2023) - [i10]Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr:
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models. CoRR abs/2306.03089 (2023) - [i9]Nadine Chang, Francesco Ferroni, Michael J. Tarr, Martial Hebert, Deva Ramanan:
Thinking Like an Annotator: Generation of Dataset Labeling Instructions. CoRR abs/2306.14035 (2023) - [i8]Gabriel Sarch, Hsiao-Yu Fish Tung, Aria Y. Wang, Jacob S. Prince, Michael J. Tarr:
3D View Prediction Models of the Dorsal Visual Stream. CoRR abs/2309.01782 (2023) - [i7]Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe:
BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity. CoRR abs/2310.04420 (2023) - [i6]Gabriel Sarch, Yue Wu, Michael J. Tarr, Katerina Fragkiadaki:
Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models. CoRR abs/2310.15127 (2023) - 2022
- [c11]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: 480-496 - [c10]Andrew F. Luo, Yilun Du, Michael J. Tarr, Josh Tenenbaum, Antonio Torralba, Chuang Gan:
Learning Neural Acoustic Fields. NeurIPS 2022 - [i5]Andrew F. Luo, Yilun Du, Michael J. Tarr, Joshua B. Tenenbaum, Antonio Torralba, Chuang Gan:
Learning Neural Acoustic Fields. CoRR abs/2204.00628 (2022) - [i4]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 abs/2207.10761 (2022) - 2020
- [i3]Aria Yuan Wang, Michael J. Tarr:
Learning Intermediate Features of Object Affordances with a Convolutional Neural Network. CoRR abs/2002.08975 (2020) - [i2]Nadine Chang, Jayanth Koushik, Michael J. Tarr, Martial Hebert, Yu-Xiong Wang:
Alpha Net: Adaptation with Composition in Classifier Space. CoRR abs/2008.07073 (2020)
2010 – 2019
- 2019
- [c9]Aria Y. Wang, Michael J. Tarr, Leila Wehbe:
Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain Activity. NeurIPS 2019: 15475-15485 - 2018
- [c8]Ashwati Krishnan, Ritesh Kumar
Challenges and Opportunities in Instrumentation and Use of High-Density EEG for Underserved Regions. InterSol 2018: 72-82 - [i1]Nadine Chang, John A. Pyles, Abhinav Gupta, Michael J. Tarr, Elissa M. Aminoff:
BOLD5000: A public fMRI dataset of 5000 images. CoRR abs/1809.01281 (2018) - 2017
- [c7]Nicholas Blauch, Elissa Aminoff, Michael J. Tarr:
Functionally localized representations contain distributed information: insight from simulations of deep convolutional neural networks. CogSci 2017 - 2016
- [j12]Daniel D. Leeds, Michael J. Tarr
A method for real-time visual stimulus selection in the study of cortical object perception. NeuroImage 133: 529-548 (2016) - [c6]Matthew Boring, Shawn K. Kelly, Jeffrey A. Weldon, Michael J. Tarr, Amanda Robinson
Containing errors in computations for neural sensing: Does a hierarchical-referencing strategy lead to energy savings? ITA 2016: 1-5 - [c5]Ying Yang, Elissa Aminoff, Michael J. Tarr, Robert E. Kass:
A state-space model of cross-region dynamic connectivity in MEG/EEG. NIPS 2016: 1226-1234 - 2015
- [j11]Elissa Michele Aminoff
Applying artificial vision models to human scene understanding. Frontiers Comput. Neurosci. 9: 8 (2015) - [j10]Mayu Nishimura, K. Suzanne Scherf, Valentinos Zachariou
Size Precedes View: Developmental Emergence of Invariant Object Representations in Lateral Occipital Complex. J. Cogn. Neurosci. 27(3): 474-491 (2015) - 2014
- [j9]Daniel D. Leeds, John A. Pyles
Exploration of complex visual feature spaces for object perception. Frontiers Comput. Neurosci. 8: 106 (2014) - [c4]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: 69-82 - 2011
- [j8]Rankin W. McGugin
Race-Specific Perceptual Discrimination Improvement Following Short Individuation Training With Faces. Cogn. Sci. 35(2): 330-347 (2011)
2000 – 2009
- 2008
- [j7]Michael J. Tarr, Athinodoros S. Georghiades, Cullen D. Jackson
Identifying faces across variations in lighting: Psychophysics and computation. ACM Trans. Appl. Percept. 5(2): 10:1-10:25 (2008) - 2007
- [j6]Chun-Chia Kung, Jessie J. Peissig
Is Region-of-Interest Overlap Comparison a Reliable Measure of Category Specificity? J. Cogn. Neurosci. 19(12): 2019-2034 (2007) - 2006
- [j5]Cindy M. Bukach, Daniel N. Bub, Isabel Gauthier
Perceptual Expertise Effects Are Not All or None: Spatially Limited Perceptual Expertise for Faces in a Case of Prosopagnosia. J. Cogn. Neurosci. 18(1): 48-63 (2006) - 2005
- [j4]Marlene Behrmann
Behavioral Change and Its Neural Correlates in Visual Agnosia After Expertise Training. J. Cogn. Neurosci. 17(4): 554-568 (2005) - [j3]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): 59-70 (2005) - 2003
- [j2]Bruno Rossion
Early lateralization and orientation tuning for face, word, and object processing in the visual cortex. NeuroImage 20(3): 1609-1624 (2003) - 2001
- [c3]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: 143-150
1990 – 1999
- 1999
- [j1]Florin Cutzu, Michael J. Tarr:
Inferring Perceptual Saliency Fields from Viewpoint-Dependent Recognition Data. Neural Comput. 11(6): 1331-1348 (1999) - 1997
- [c2]Florin Cutzu, Michael J. Tarr:
Representation of three-dimensional object similarity in human vision. Human Vision and Electronic Imaging 1997: 460-471 - 1993
- [c1]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: 1661-1666
Coauthor Index
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last updated on 2024-08-08 20:17 CEST by the dblp team
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