Code/Software/Datasets

 

The page lists some source code/software/datasets from some of our research projects and papers. You are free to download them for your own research, provided that you cite the source paper explicitly in your work, do not make any redistribution and do not use them for commercial purposes.

 

 

Source Code

 

 

   Description: Description: Description: Description: Description: Description: H:\BackUp\Prop\WebPage\images\ball.gif  Compressive Sensing Reconstruction of Correlated Images Using Joint Regularization  click to download

  This package is based on our following publication:

Kan Chang, Pak Lun Kevin Ding, and Baoxin Li, "Compressive Sensing Reconstruction of Correlated Images Using Joint Regularization,"  IEEE Signal Processing Letters (SPL), vol.23, no.4, pp.449-453, Apr. 2016.

 

  Description: Description: Description: Description: Description: Description: H:\BackUp\Prop\WebPage\images\ball.gif  Joint modeling and reconstruction of a compressively-sensed set of correlated images click to download

 This package is based on our following publication:

  K. Chang and B. Li, “Joint modeling and reconstruction of a compressively-sensed set of correlated images”, Journal of Visual Communication and Image Representation, Vol. 33, pp. 286-300. November, 2015.

 

  Description: Description: Description: Description: Description: Description: H:\BackUp\Prop\WebPage\images\ball.gif  Color image demosaicking using inter-channel correlation and nonlocal self-similarity click to download

 This package is based on our following publication:

       K. Chang, P.L.K. Ding and B. Li, “Joint modeling and reconstruction of a compressively-sensed set of correlated images”,  “Color image demosaicking using inter-channel correlation and nonlocal self-similarity”, Signal Processing: Image Communication, Vol. 39, pp. 264-279. 2015.

 

 

  Description: Description: Description: Description: Description: Description: H:\BackUp\Prop\WebPage\images\ball.gif  Relative multi-task learning for predicting multiple attributes: click to download

 This package is based on our following publication:

  L. Chen, Q. Zhang, and B. Li, “Predicting Multiple Attributes via Relative Multi-task Learning”, IEEE International Conference on Computer Vision & Pattern Recognition (CVPR), June, 2014.

 

 

  Description: Description: Description: Description: Description: Description: H:\BackUp\Prop\WebPage\images\ball.gif  Relative Hidden Markov Model: click to download

 This package is based on our following publications: (The code corresponds to the journal paper, which is an improved version of the CVPR paper).

Q. Zhang and B. Li, “Relative Hidden Markov Models for Video-based Evaluation of Motion Skills in Surgical Training”, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2014.

and

     Qiang Zhang & Baoxin Li, “Relative Hidden Markov Model for Skill Evaluation”, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June, 2013.

 

Description: Description: Description: Description: Description: Description: H:\BackUp\Prop\WebPage\images\ball.gif  Joint Sparsity Model with Matrix Completion for Face Recognition: click to download

 This package is based on our following publication:

     Q. Zhang and B. Li, “Mining Discriminative Components with Low-Rank and Sparsity Constraints for Face Recognition”, ACM Conf. on Knowledge Discover & Data Mining (SIG KDD) 2012.

 

Description: Description: Description: Description: Description: Description: H:\BackUp\Prop\WebPage\images\ball.gif  Discriminative Affine Sparse Codes for Image Classification: click to download

 This package is based on our following publication:

Naveen Kulkarni and Baoxin Li, “Discriminative Affine Sparse Codes for Image Classification”, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June, 2011.

 

  Description: Description: Description: Description: Description: Description: H:\BackUp\Prop\WebPage\images\ball.gif  Discriminative K-SVD: click to download

 This package is based on our following publication:

Qiang Zhang and Baoxin Li, “Discriminative K-SVD for Dictionary Learning in Face Recognition”, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June, 2010.

 

 

Description: Description: Description: Description: Description: Description: H:\BackUp\Prop\WebPage\images\ball.gif  A Compressive Sensing Approach for Expression-Invariant Face Recognition: click to download

 This package is based on our following publication:

     Pradeep Nagesh and Baoxin Li, “A Compressive Sensing Approach for Expression-Invariant Face Recognition”, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June, 2009.

 

 

Software

 

  Description: Description: Description: Description: Description: Description: H:\BackUp\Prop\WebPage\images\ball.gif  Eye Detector: click to download; Read the Readme file to install and test the software.

 

 

Datasets

 

 

 

Description: Description: Description: Description: Description: Description: H:\BackUp\Prop\WebPage\images\ball.gif  Images with Ground Truth for Evaluating Text Detection in Floor Maps:  click to download

This dataset accompanies our following publication:

H. B. Maguluri, Q. Tian, B. Li, “Detecting Text in Floor Maps Using Histogram of Oriented Gradients”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2013.

 

Description: Description: Description: Description: Description: Description: H:\BackUp\Prop\WebPage\images\ball.gif  300 Images with Contour-based Ground Truth for Evaluating Salient Object Detection:  click to download

This dataset accompanies our following publication:

Zheshen Wang, Baoxin Li, “A Two-stage Approach to Saliency Detection”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2008.