All Publications

2014

CBMM Memo No.
018
W. Lu, Lian, X., and 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)
CBMM Funded
CBMM Memo No.
017
T. Poggio, Mutch, J., and Isik, L., “Computational role of eccentricity dependent cortical magnification.”. 2014.PDF icon CBMM-Memo-017.pdf (1.04 MB)
CBMM Funded
CBMM Memo No.
015
X. Chen, Mottaghi, R., Liu, X., Fidler, S., Urtasun, R., and Yuille, A., “Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts.”. 2014.PDF icon CBMM-Memo-015.pdf (974.07 KB)
CBMM Funded
CBMM Memo No.
014
Y. Li, Koch, C., Rehg, J. M., and Yuille, A., “The Secrets of Salient Object Segmentation.”. 2014.PDF icon CBMM-Memo-014.pdf (1.59 MB)
CBMM Funded
CBMM Memo No.
013
C. Wang, Wang, Y., Lin, Z., Yuille, A., and Gao, W., “Robust Estimation of 3D Human Poses from a Single Image.”. 2014.PDF icon CBMM-Memo-013.pdf (510.23 KB)
CBMM Funded
CBMM Memo No.
010
N. D. Goodman, Tenenbaum, J. B., and Gerstenberg, T., “Concepts in a Probabilistic Language of Thought.”. 2014.PDF icon CBMM-Memo-010.pdf (902.53 KB)
CBMM Funded
G. Kreiman, “People, objects and interactions in movies”. 2014.
CBMM Related
C. Zhang, Frogner, C., Araya-Polo, M., and Hohl, D., “Machine Learning Based Automated Fault Detection in Seismic Traces”, in EAGE Conference and Exhibition 2014, The Netherlands, 2014.
CBMM Related
J. J. Nassi, Gomez-Laberge, C., Kreiman, G., and Born, R. T., “Corticocortical feedback increases the spatial extent of normalization.”, Frontiers in Systems Neuroscience, vol. 8, p. 105, 2014.
CBMM Related
CBMM Memo No.
006
N. Siddharth, Barbu, A., and Siskind, J. Mark, “Seeing What You’re Told: Sentence-Guided Activity Recognition In Video.”. 2014.PDF icon CBMM-Memo-006.pdf (1.2 MB)
CBMM Funded
R. Prevedel, Yoon, Y. - G., Hoffmann, M., Pak, N., Wetzstein, G., Kato, S., Schrödel, T., Raskar, R., Zimmer, M., Boyden, E. S., and Vaziri, A., “Simultaneous whole-animal 3D imaging of neuronal activity using light-field microscopy”, Nature Methods, vol. 11, no. 7, pp. 727 - 730, 2014.
CBMM Funded
C. Zhang, Evangelopoulos, G., Voinea, S., Rosasco, L., and Poggio, T., “A Deep Representation for Invariance and Music Classification”, in ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, Italy, 2014.
CBMM Funded
CBMM Memo No.
009
H. Tang, Buia, C., Madsen, J., Anderson, W. S., and 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)
CBMM Funded
CBMM Memo No.
008
T. Miconi, Groomes, L., and 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)
CBMM Funded
CBMM Memo No.
007
Y. Berzak, Reichart, R., and Katz, B., “Reconstructing Native Language Typology from Foreign Language Usage.”. 2014.PDF icon CBMM-Memo-007.pdf (683.75 KB)
CBMM Funded
CBMM Memo No.
005
J. Singer, Madsen, J., Anderson, W. S., and Kreiman, G., “Sensitivity to Timing and Order in Human Visual Cortex.”. 2014.PDF icon CBMM-Memo-005.pdf (1.12 MB)
CBMM Funded
CBMM Memo No.
004
J. Z. Leibo, Liao, Q., Anselmi, F., and Poggio, T., “The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex”. 2014.PDF icon CBMM Memo 004_new.pdf (2.25 MB)
CBMM Funded
D. Baldauf and Desimone, R., “Neural Mechanisms of Object-Based Attention”, Science, vol. 344, no. 6182, pp. 424 - 427, 2014.
CBMM Funded
T. Poggio and Squire, L. R., “Tomaso A. Poggio”, in The History of Neuroscience in Autobiography Volume 8, vol. 8, Society for Neuroscience, 2014.PDF icon Volume Introduction and Preface (232.8 KB)PDF icon TomasoPoggio.pdf (1.43 MB)
CBMM Memo No.
003
Q. Liao, Leibo, J. Z., Mroueh, Y., and Poggio, T., “Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?”. 2014.PDF icon CBMM-Memo-003.pdf (963.66 KB)
CBMM Funded
CBMM Memo No.
002
C. Zhang, Evangelopoulos, G., Voinea, S., Rosasco, L., and Poggio, T., “A Deep Representation for Invariance And Music Classification”. 2014.PDF icon CBMM-Memo-002.pdf (1.63 MB)
CBMM Funded
CBMM Memo No.
001
F. Anselmi, Leibo, J. Z., Rosasco, L., Mutch, J., Tacchetti, A., and Poggio, T., “Unsupervised learning of invariant representations with low sample complexity: the magic of sensory cortex or a new framework for machine learning?”. 2014.PDF icon CBMM Memo No. 001 (940.36 KB)
CBMM Funded
Q. Liao, Leibo, J. Z., and Poggio, T., “Learning invariant representations and applications to face verification”, in NIPS 2013, Lake Tahoe, Nevada, 2014.PDF icon Liao_Leibo_Poggio_NIPS_2013.pdf (687.06 KB)
CBMM Funded
L. Isik, Meyers, E., Leibo, J. Z., and Poggio, T., “The dynamics of invariant object recognition in the human visual system.”, J Neurophysiol, vol. 111, no. 1, pp. 91-102, 2014.
CBMM Related
L. Isik, Meyers, E., Leibo, J. Z., and Poggio, T., “The dynamics of invariant object recognition in the human visual system.”. 2014.
CBMM Related

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