Publication

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2014
Miconi, T., Groomes, L. & Kreiman, G. A normalization model of visual search predicts single trial human fixations in an object search task. (2014).PDF icon CBMM-Memo-008.pdf (854.51 KB)
Lu, W., Lian, X. & Yuille, A. Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency. (2014).PDF icon CBMM-Memo-018_opt.pdf (5.02 MB)
Kreiman, G. People, objects and interactions in movies. (2014).
Zhang, C., Voinea, S., Evangelopoulos, G., Rosasco, L. & Poggio, T. Phone Classification by a Hierarchy of Invariant Representation Layers. INTERSPEECH 2014 - 15th Annual Conf. of the International Speech Communication Association (International Speech Communication Association (ISCA), 2014). at <http://www.isca-speech.org/archive/interspeech_2014/i14_2346.html>
Xu, J., Jiang, M., Wang, S., Kankanhalli, M. & Zhao, Q. Predicting Saliency Beyond Pixels. (2014). at <http://www.ece.nus.edu.sg/stfpage/eleqiz/predicting.html>
Yan, P., Magid, R. & Schulz, L. Preschoolers expect others to learn rationally from evidence. Annual Conference of the Cognitive Science Society (2014).PDF icon Yan, Magid, & Schulz_CogSci14_REVISED.pdf (302.4 KB)
Krompaß, D., Nickel, M. & Tresp, V. The Semantic Web – ISWC 2014 8797, 114-129 (Springer International Publishing, 2014).
Berzak, Y., Reichart, R. & Katz, B. Reconstructing Native Language Typology from Foreign Language Usage. (2014).PDF icon CBMM-Memo-007.pdf (683.75 KB)
Nickel, M., Jiang, X. & Tresp, V. Advances in Neural Information Processing Systems 27 1179–1187 (Curran Associates, Inc., 2014). at <http://papers.nips.cc/paper/5448-reducing-the-rank-in-relational-factorization-models-by-including-observable-patterns.pdf>
Anselmi, F. & Poggio, T. Representation Learning in Sensory Cortex: a theory. (2014).PDF icon CBMM-Memo-026_neuron_ver45.pdf (1.35 MB)
Poggio, T. Is Research in Intelligence an Existential Risk?. (2014).PDF icon Is Research in Intelligence an Existential Risk.pdf (571.42 KB)
Wang, C., Wang, Y., Lin, Z., Yuille, A. & Gao, W. Robust Estimation of 3D Human Poses from a Single Image. (2014).PDF icon CBMM-Memo-013.pdf (510.23 KB)
Tang, H., Buia, C., Madsen, J., Anderson, W. S. & Kreiman, G. A role for recurrent processing in object completion: neurophysiological, psychophysical and computational evidence. (2014).PDF icon CBMM-Memo-009.pdf (4.21 MB)
Li, Y., Koch, C., Rehg, J. M. & Yuille, A. The Secrets of Salient Object Segmentation. (2014).PDF icon CBMM-Memo-014.pdf (1.59 MB)
Barbu, A. et al. Seeing is Worse than Believing: Reading People’s Minds Better than Computer-Vision Methods Recognize Actions. (2014).PDF icon CBMM Memo 012.pdf (678.95 KB)
Barbu, A. et al. Computer Vision – ECCV 2014, Lecture Notes in Computer Science 8693, 612–627 (Springer International Publishing, 2014).
Siddharth, N., Barbu, A. & Siskind, J. Mark. Seeing What You’re Told: Sentence-Guided Activity Recognition In Video. (2014).PDF icon CBMM-Memo-006.pdf (1.2 MB)
Siddharth, N., Barbu, A. & Siskind, J. Mark. Seeing What You’re Told: Sentence-Guided Activity Recognition In Video. CVPR (IEEE, 2014).PDF icon Publication (453.54 KB)
Siddharth, N., Barbu, A. & Siskind, J. Mark. Seeing what you're told, sentence guided activity recognition in video. Appeared at CVPR (2014).PDF icon poster-1701.pdf (4.61 MB)
Singer, J., Madsen, J., Anderson, W. S. & Kreiman, G. Sensitivity to Timing and Order in Human Visual Cortex. (2014).PDF icon CBMM-Memo-005.pdf (1.12 MB)
Mendoza-Halliday, D., Torres, S. & Martinez-Trujillo, J. Sharp emergence of feature-selective sustained activity along the dorsal visual pathway. Nature Neuroscience 7, (2014).
Singer, J. & Kreiman, G. Short temporal asynchrony disrupts visual object recognition. (2014). at <http://klab.tch.harvard.edu/resources/singer_asynchrony.html>
Singer, J. & Kreiman, G. Short temporal asynchrony disrupts visual object recognition. J Vis 14, 7 (2014).
Singer, J. & Kreiman, G. Short temporal asynchrony disrupts visual object recognition. (2014). at <http://klab.tch.harvard.edu/resources/singer_asynchrony.html>
Singer, J. & Kreiman, G. Short temporal asynchrony disrupts visual object recognition. Journal of Vision 12, (2014).

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