Analysis of Scores, Datasets, and Models in Visual Saliency Prediction

Borji, A., H. R. Tavakoli, D. N. Sihite, and L. Itti, "Analysis of Scores, Datasets, and Models in Visual Saliency Prediction", Computer Vision (ICCV), 2013 IEEE International Conference on, Dec, 2013.

Sampling-based Algorithms for Stochastic Optimal Control

Huynh, V A., "Sampling-based Algorithms for Stochastic Optimal Control", Department of Aeronautics and Astronautics, vol. PhD: Massachusetts Institute of Technology, 2014.

Optimal attentional modulation of neural population

Borji, A., and L. Itti, "Optimal attentional modulation of neural population", Frontiers in Computational Neuroscience, vol. 8, 2014.

Learning Descriptive Models of Objects and Activities from Egocentric Video

Joint Semantic Segmentation and 3D Reconstruction from Monocular Video

The secrets of salient object segmentation

Li, Y., X. Hou, C. Koch, J. J. M. Rehg, and A. Yuille, The secrets of salient object segmentation, : CVPR, 2014.


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Dynamics and Control Systems Lab


Robotic Mobility Group


Aerospace Robotics and Embedded Systems Laboratory

About us

We are three research groups from Georgia Tech, the Massachusetts Institute of Technology, and the University of Southern California, collaborating to perform basic research on high-speed autonomous driving.  We are most interested in researching biologically-inspired methods in the realms of both perception and control.


This work was supported by the Army Research Office under MURI Award W911NF-11-1-0046.