Elan Barenholtz, Ph.D.


Home Visual Mind Lab

Machine Perception and Cognitive Robotics Lab





Convolutional Neural Networks for Predicting Molecular Binding Affinity to HIV-1 Proteins(In Press)
Paul Morris, Yahchayil Dasilva, Evan Clark, William Edward Hahn and Elan Barenholtz. To appear in Proceedings of the 9th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics

A Systematic Comparison of Deep Learning Architectures in an Autonomous Vehicle (2018)
Teti,M, Barenholtz E.,Martin,S. and Hahn, W. Arxiv

Q-Learning in an Autonomous Rover (2017)
Marcus McGuire, Paul Morris, Washington Garcia, Shawn Martin, Nicolas Tutuianu & Elan
Barenholtz. FAU Undergraduate Research Journal

Language Familiarity Modulates Relative Attention to the Eyes and Mouth of a Talker (2016)
Barenholtz, E., Mavica, L and Lewkowicz, D. Cognition

Deep learning human actions from vido using sparse filtering and locally competitive algorithms (2016)
Hahn, E., Lewkiwitz, S., Lacombe, D.and Barenholtz, E. Multimedia Tools and Applications

Intrinsic and contextual features in object recognition (2015)
Schlangen, D. and Barenholtz, E. Journal of Vision.

Categorical congruence facilitates multisensory associative learning (2014)
Barenholtz, E., Lewkowicz, D., Davidson, M and Mavica, L. Psychonomic Bulletin and Review.

Quantifying the role of context in visual object recognition (2014)
Barenholtz, E. Visual Cognition.

Matching voice and face identity from static images (2013)
Mavica, L. and Barenholtz, E. Journalof Experimental Psychology: Human Perception and Performance.

Multisensory Associative-Pair Learning: Evidence for ‘Unitization’ as a specialized mechanism (2011)
Barenholtz, E., Davidson, M. and Lewkowicz, D. Proceedings of the Cognitive Sciences Society

Visual Learning of Statistical Relations Among Non-adjacent Features: Evidence for Structural Encoding(2011)
Barenholtz, E. and Tarr, M.J. Visual Cognition

Context modeling in computer vision: techniques, implications, and applications (2010).
Marques, O. Barenholtz, E. and Charvillat, V. Multimedia Tools and Applications

Convexities move because they contain matter (2010)
Barenholtz, E. Journal of Vision, 10, 1–12

Figure-ground assignment to a translating contour: a preference for advancing vs. receding motion (2009).
Barenholtz, E. and Tarr, M.J. Journal of Vision , 1-9

Visual judgment of similarity across shape transformations: evidence for a compositional model of articulated objects (2008).
Barenholtz, E. and Tarr, M.J. Acta Psychologica, 128, 331-338

Reconsidering the role of structure in vision (2007).
Barenholtz, E. and Tarr, M.J. In The Psychology of Learning and Motivation, Vol. 47., Markman, A., & Ross, B. (Eds.).

Determination of visual figure and ground in dynamically deforming shapes (2006).
Barenholtz, E., and Feldman, J. Cognition, 101, 530-544.

What change detection tells us about the visual representation of shape (2005)
Cohen, E., Barenholtz, E., Singh, M., & Feldman, J. Journal of Vision, 5, 313-321.

Detection of change in shape: an advantage for concavities (2003).
Barenholtz, E., Cohen, E., Feldman, J. and Singh, M. Cognition, 89(1), 1-9.

Visual comparisons within and between object-parts: evidence for a single- part superiority effect. (2003)
Barenholtz, E., & Feldman, J. Vision Research, 43(15), 1655 1666.