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Software and Data Available for Download

Chan-Vese Neural Network Python code (GitHub)

  • O. Akal, A. Barbu. Fast 3D Liver Segmentation Using a Trained Deep Chan-Vese Model. Electronics 11 No. 20, 3323 (link)

    • Feature Screening Matlab code (GitHub)

  • M. Wang, A. Barbu. Are screening methods useful in feature selection? An empirical study. PLoS One 14, No. 9 (2019) (arxiv,link)

    • RENOIR A dataset of images corrupted by low light noise and their clean counterparts (data)

  • J. Anaya, A. Barbu. RENOIR - A Dataset for Real Low-Light Image Noise Reduction. Journal of Visual Comm. and Image Rep. 51, No. 2, 144-154, 2018 (arxiv, link)

    • Parameterized PCA Matlab code (Matlab)

  • A. Gupta, A. Barbu. Parameterized Principal Component Analysis. Pattern Recognition 78, No. 6, 215–227, 2018 (arxiv, link)

    • Feature Selection with Annealing demo code with logistic loss (Matlab), C++ code with Python and Matlab interfaces, 5 losses (GitHub)

  • A. Barbu, Y. She, L. Ding, G. Gramajo. Feature Selection with Annealing for Computer Vision and Big Data Learning. IEEE PAMI, 39, No. 2, 272–286, 2017. (arxiv, link)

    • Hierarchical Object Parsing annotations for Horses (zip) and Cows (zip)

  • A. Barbu. Hierarchical Object Parsing from Structured Noisy Point Clouds. IEEE PAMI, 35, No. 7, 1649–1659, 2013. (pdf, arxiv, slides)

    • Motion Clustering Matlab code (zip)

  • L. Ding, A. Barbu, A. Meyer-Baese. Motion Segmentation by Velocity Clustering with Estimation of Subspace Dimension. ACCV Workshop DTCE 2012 (pdf)

    • Artificial Prediction Market C++ code (zip)

  • A. Barbu, N. Lay. An Introduction to Artificial Prediction Markets for Classification. Journal of Machine Learning Research, 13, 2177–2204, 2012. (pdf)

    • SPADES C++ code (zip)

  • F. Bunea, A. Tsybakov, M. Wegkamp and A.Barbu. SPADES and mixture models. Annals of Statistics 38, No. 4, 2525–2558, 2010. (pdf)

    • Active Random Fields code
        Matlab test code (zip), C++ training code (zip), Berkeley images.


  • A. Barbu. Training an Active Random Field for Real-Time Image Denoising. IEEE Trans. Image Processing, 18, November 2009. (pdf, ppt)

    • Swendsen-Wang Cuts based Image Segmentation  C++ code (zip).

  • A. Barbu, S.C. Zhu. Generalizing Swendsen-Wang to sampling arbitrary posterior probabilities, PAMI, 27, August 2005 (pdf)
    • A C++ wrapper for glmnet
       I made a C++ interface to the coordinate descent algorithm written in Fortran by Jerome Friedman and explained in
           Regularized Paths for Generalized Linear Models via Coordinate Descent (Journal of Statistical Software 33(1), 2010) and
           Pathwise Coordinate Optimization, The Annals of Applied Statistics. Volume 1, Number 2 (2007), 302-332
       Win32 dll with C++ interface and Visual Studio 2005 test code (zip).