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Reconstructing Native Language Typology from Foreign Language Usage 

Berzak, Yevgeni; Reichart, Roi; Katz, Boris (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-04-25)
Linguists and psychologists have long been studying cross-linguistic transfer, the influence of native language properties on linguistic performance in a foreign language. In this work we provide empirical evidence for ...
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Robust Estimation of 3D Human Poses from a Single Image 

Wang, Chunyu; Wang, Yizhou; Lin, Zhouchen; Yuille, Alan L.; Gao, Wen (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-06-10)
Human pose estimation is a key step to action recognition. We propose a method of estimating 3D human poses from a single image, which works in conjunction with an existing 2D pose/joint detector. 3D pose estimation is ...
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The Secrets of Salient Object Segmentation 

Li, Yin; Hou, Xiaodi; Koch, Christof; Rehg, James M.; Yuille, Alan L. (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-06-13)
In this paper we provide an extensive evaluation of fixation prediction and salient object segmentation algorithms as well as statistics of major datasets. Our analysis identifies serious design flaws of existing salient ...
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Abstracts of the 2014 Brains, Minds, and Machines Summer School 

Amir, Nadav; Besold, Tarek R.; Camoriano, Rafaello; Erdogan, Goker; Flynn, Thomas; e.a. (Center for Brains, Minds and Machines (CBMM), 2014-09-26)
A compilation of abstracts from the student projects of the 2014 Brains, Minds, and Machines Summer School, held at Woods Hole Marine Biological Lab, May 29 - June 12, 2014.
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Seeing What You’re Told: Sentence-Guided Activity Recognition In Video 

Siddharth, Narayanaswamy; Barbu, Andrei; Siskind, Jeffrey Mark (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-05-29)
We present a system that demonstrates how the compositional structure of events, in concert with the compositional structure of language, can interplay with the underlying focusing mechanisms in video action recognition, ...
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Sensitivity to Timing and Order in Human Visual Cortex. 

Singer, Jedediah M.; Madsen, Joseph R.; Anderson, William S.; Kreiman, Gabriel (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-04-25)
Visual recognition takes a small fraction of a second and relies on the cascade of signals along the ventral visual stream. Given the rapid path through multiple processing steps between photoreceptors and higher visual ...
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The Compositional Nature of Event Representations in the Human Brain 

Barbu, Andrei; Narayanaswamy, Siddharth; Xiong, Caiming; Corso, Jason J.; Fellbaum, Christiane D.; e.a. (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-07-14)
How does the human brain represent simple compositions of constituents: actors, verbs, objects, directions, and locations? Subjects viewed videos during neuroimaging (fMRI) sessions from which sentential descriptions of ...
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Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding 

Mottaghi, Roozbeh; Fidler, Sanja; Yuille, Alan L.; Urtasun, Raquel; Parikh, Devi (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-06-15)
Recent trends in image understanding have pushed for holistic scene understanding models that jointly reason about various tasks such as object detection, scene recognition, shape analysis, contextual reasoning, and local ...
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When Computer Vision Gazes at Cognition 

Gao, Tao; Harari, Daniel; Tenenbaum, Joshua; Ullman, Shimon (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-12-12)
Joint attention is a core, early-developing form of social interaction. It is based on our ability to discriminate the third party objects that other people are looking at. While it has been shown that people can accurately ...
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A normalization model of visual search predicts single trial human fixations in an object search task. 

Miconi, Thomas; Groomes, Laura; Kreiman, Gabriel (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-04-25)
When searching for an object in a scene, how does the brain decide where to look next? Theories of visual search suggest the existence of a global attentional map, computed by integrating bottom-up visual information with ...
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AuthorPoggio, Tomaso (5)Yuille, Alan L. (5)Kreiman, Gabriel (3)Anderson, William S. (2)Barbu, Andrei (2)Fidler, Sanja (2)Linderman, Scott W. (2)Madsen, Joseph R. (2)Mottaghi, Roozbeh (2)Siskind, Jeffrey Mark (2)... View MoreSubjectComputer vision (6)Machine Learning (6)Neuroscience (6)Vision (6)Artificial Intelligence (5)Object Recognition (5)Computer Language (4)Invariance (4)Language (4)Face recognition (2)... View MoreDate Issued
2014 (23)
Has File(s)Yes (23)

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