Software and Projects

 

Sparse HMAX

This is a model proposed in the following paper:

X. Hu, J. Zhang, J. Li, B. Zhang, “Sparsity-regularized HMAX for visual recognition,” PLOS ONE, vol. 9, no. 1, pp. 1-12, 2014.

MATLAB codes are are available here.

Feature selection in supervised saliency prediction

We have provided the computed saliency maps of several benchmark datasets using the method described in the following paper:

M. Liang, X. Hu, “Feature selection in supervised saliency prediction,” IEEE Transactions on Cybernetics.

The computed saliency maps can be downloaded here.

 



© 2017 Xiaolin Hu. All rights reserved.