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Publications

External links: [Google Scholar] [Microsoft Academic] [DBLP]

Latest

  1. L.-C. Chen*, G. Papandreou*, I. Kokkinos, K. Murphy, and A. Yuille
    Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs,
    Technical Report, December 2014.
    (*equal contribution)
    [arxiv] [bib]   (new)
  2. G. Papandreou, I. Kokkinos, and P.-A. Savalle
    Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection,
    Technical Report, November 2014.
    [arxiv] [bib]   (new)
  3. G. Papandreou
    Deep Epitomic Convolutional Neural Networks,
    Technical Report, June 2014.
    [arxiv] [bib]   (new)

Conference Publications

  1. G. Papandreou, L.-C. Chen, and A. Yuille,
    Modeling Image Patches with a Generic Dictionary of Mini-Epitomes,
    Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR-14), Columbus, OH, June 2014.
    [pdf] [bib] [appendix]   (new)
  2. L.-C. Chen, G. Papandreou, and A. Yuille,
    Learning a Dictionary of Shape Epitomes with Applications to Semantic Labeling,
    Proc. IEEE Int. Conf. on Computer Vision (ICCV-13), Sydney, Australia, Dec. 2013.
    [pdf] [bib] [appendix]
  3. G. Papandreou and A. Yuille,
    Perturb-and-MAP Random Fields: Using Discrete Optimization to Learn and Sample from Energy Models,
    Proc. IEEE Int. Conf. on Computer Vision (ICCV-11), pp. 193-200, Barcelona, Spain, Nov. 2011.   (oral presentation)
    [pdf] [bib] [read more…] [appendix] [ICCV talk] [slides] [poster]
  4. G. Papandreou and A. Yuille,
    Gaussian Sampling by Local Perturbations,
    Proc. Int. Conf. on Neural Information Processing Systems (NIPS-10), Vancouver, B.C., Canada, Dec. 2010.
    [pdf] [bib] [read more… & further more…] [poster]
  5. S. Lefkimmiatis, G. Papandreou and P. Maragos,
    Poisson-Haar Transform: A Nonlinear Multiscale Representation for Photon-Limited Image Denoising,
    Proc. IEEE Int. Conf. on Image Processing (ICIP-09), pp. 3853-3856, Cairo, Egypt, Nov. 2009.
    [pdf] [bib]
  6. S. Lefkimmiatis, G. Papandreou and P. Maragos,
    Photon-Limited Image Denoising by Inference on Multiscale Models,
    Proc. IEEE Int. Conf. on Image Processing (ICIP-08), pp. 2332-2335, San Diego, CA, U.S.A., Oct. 2008.
    [pdf] [bib]
  7. A. Katsamanis, G. Ananthakrishnan, G. Papandreou, P. Maragos, O. Engwall,
    Audiovisual Speech Inversion by Switching Dynamical Modeling Governed by a Hidden Markov Process,
    Proc. European Signal Processing Conference (EUSIPCO-08), Lausanne, Switzerland, Aug. 2008.   (oral presentation)
    [pdf] [bib]
  8. G. Papandreou and P. Maragos,
    Adaptive and Constrained Algorithms for Inverse Compositional Active Appearance Model Fitting,
    Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR-08), Anchorage, AK, June 2008.
    [pdf] [bib] [appendix] [typo] [poster] [software]
  9. G. Papandreou, P. Maragos, and A. Kokaram,
    Image Inpainting with a Wavelet Domain Hidden Markov Tree Model,
    Proc. IEEE Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP-08), pp. 773-776, Las Vegas, NV, U.S.A., Mar.-Apr. 2008.   (oral presentation)
    [pdf] [bib]
  10. A. Katsamanis, G. Papandreou, and P. Maragos,
    Audiovisual-to-Articulatory Speech Inversion Using Active Appearance Models for the Face and Hidden Markov Models for the Dynamics,
    Proc. IEEE Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP-08), pp. 2237-2240, Las Vegas, NV, U.S.A., Mar.-Apr. 2008.
    [pdf] [bib]
  11. G. Papandreou, A. Katsamanis, V. Pitsikalis, and P. Maragos,
    Multimodal Fusion and Learning with Uncertain Features Applied to Audiovisual Speech Recognition,
    Proc. IEEE Workshop on Multimedia Signal Processing (MMSP-07), pp. 264-267, Chania, Greece, Oct. 2007.   (oral presentation)
    [pdf] [bib]
  12. A. Katsamanis, G. Papandreou, and P. Maragos,
    Audiovisual-to-Articulatory Inversion Using Hidden Markov Models,
    Proc. IEEE Workshop on Multimedia Signal Processing (MMSP-07), pp. 457-460, Chania, Greece, Oct. 2007.
    [pdf] [bib]
  13. V. Pitsikalis, A. Katsamanis, G. Papandreou, and P. Maragos,
    Adaptive Multimodal Fusion by Uncertainty Compensation,
    Proc. Int. Conference on Spoken Language Processing (ICSLP-06), pp. 2458-2461, Pittsburgh PA, USA, Sep. 2006.   (oral presentation)
    [pdf] [bib]
  14. A. Katsamanis, G. Papandreou, V. Pitsikalis, and P. Maragos,
    Multimodal Fusion by Adaptive Compensation for Feature Uncertainty with Application to Audiovisual Speech Recognition,
    Proc. European Signal Processing Conference (EUSIPCO-06), Florence, Italy, Sep. 2006.   (oral presentation)
    [pdf] [bib]
  15. D. Dimitriadis, N. Katsamanis, P. Maragos, G. Papandreou, and V.~Pitsikalis,
    Towards automatic speech recognition in adverse environments,
    Proc. Hellenic European Conf. on Research on Comp. Math. and Appl. (HERCMA-05), Athens, Greece, Sep. 2005.   (oral presentation)
    [pdf] [bib]
  16. G. Papandreou and P. Maragos,
    Image Denoising in Nonlinear Scale-Spaces: Automatic Scale Selection Via Cross-Validation,
    Proc. Int. Conf. on Image Processing (ICIP-05), Genova, Italy, Sep. 2005.
    [pdf] [bib]
  17. G. Papandreou and P. Maragos,
    A Cross-Validatory Statistical Approach to Scale Selection for Image Denoising by Nonlinear Diffusion,
    Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR-05), San Diego, CA, June 2005.
    [pdf] [bib]
  18. G. Papandreou and P. Maragos,
    A Fast Multigrid Implicit Algorithm for the Evolution of Geodesic Active Contours,
    Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR-04), Washington DC, June 2004.
    [pdf] [bib] [read more…] [software]

Journal Publications

  1. S. Lefkimmiatis, P. Maragos, and G. Papandreou,
    Bayesian Inference on Multiscale Models for Poisson Intensity Estimation: Applications to Photon-Limited Image Denoising,
    IEEE Transactions on Image Processing, vol. 18, no. 8, pp. 1724-1741, Aug. 2009.
    [pdf] [bib]
  2. G. Papandreou, A. Katsamanis, V. Pitsikalis, and P. Maragos,
    Adaptive Multimodal Fusion by Uncertainty Compensation with Application to Audio-Visual Speech Recognition,
    IEEE Transactions on Audio, Speech and Language Processing, vol. 17, no. 3, pp. 423-435, Mar. 2009.
    [pdf] [bib] [read more…]
  3. A. Katsamanis, G. Papandreou, and P. Maragos,
    Face Active Appearance Modeling and Speech Acoustic Information to Recover Articulation,
    IEEE Transactions on Audio, Speech and Language Processing, vol. 17, no. 3, pp. 411-422, Mar. 2009.
    [pdf] [bib] [read more…]
  4. G. Papandreou and P. Maragos,
    Multigrid Geometric Active Contour Models,
    IEEE Transactions on Image Processing, vol. 16, no. 1, pp. 229-240, Jan. 2007.
    [pdf] [bib] [read more…] [software]

Book Chapters

  1. G. Papandreou and A. Yuille,
    Perturb-and-MAP Random Fields: Reducing Random Sampling to Optimization, with Applications in Computer Vision,
    in Advanced Structured Prediction, edited by S. Nowozin, P. Gehler, J. Jancsary, and C. Lampert. MIT Press, 2014.
    [pdf] [bib] [amazon.com]   (new)
  2. G. Papandreou, A. Katsamanis, V. Pitsikalis and P. Maragos,
    Adaptive Multimodal Fusion by Uncertainty Compensation with Application to Audio-Visual Speech Recognition,
    in Multimodal Processing and Interaction: Audio, Video, Text, edited by P. Maragos, A. Potamianos, and P. Gros, chapter 4, pp. 111-126, Springer-Verlag, New York, 2008.
    [pdf] [bib] [chapter doi] [book doi] [springer] [amazon.com]
  3. P. Maragos, P. Gros, A. Katsamanis and G. Papandreou,
    Cross-Modal Integration for Performance Improving in Multimedia: A Review,
    in Multimodal Processing and Interaction: Audio, Video, Text, edited by P. Maragos, A. Potamianos, and P. Gros, chapter 1, pp. 3-48, Springer-Verlag, New York, 2008.
    [pdf] [bib] [chapter doi] [book doi] [springer] [amazon.com]

Theses

  1. G. Papandreou,
    Image Analysis and Computer Vision: Theory and Applications in the Restoration of Ancient Wall Paintings,   (in greek)
    ECE School PhD Thesis, July 2009. Thesis advisor: Prof. P. Maragos.
    [pdf] [bib] [defense slides]
  2. G. Papandreou,
    Fast Algorithms for the Evolution of Geodesic Active Contours with Applications in Computer Vision,   (in greek)
    ECE School Diploma Thesis, Oct. 2003. Thesis advisor: Prof. P. Maragos.
    [pdf] [bib]

Workshop Publications

  1. P.-A. Savalle, S. Tsogkas, G. Papandreou, and I. Kokkinos,
    Deformable Part Models with CNN Features,
    Third International Workshop on Parts and Attributes, in conjunction with ECCV 2014, Zurich, Switzerland, September 2014.
    [pdf]   (new)
  2. G. Papandreou and A. Yuille,
    Efficient Variational Inference in Large-Scale Bayesian Compressed Sensing,
    Proc. IEEE Workshop on Information Theory in Computer Vision and Pattern Recognition (in conjunction with ICCV-11), pp. 1332-1339, Barcelona, Spain, Nov. 2011.   (oral presentation)
    [pdf] [bib] [read more…] [arxiv] [slides] [software]

Abstracts

  1. T.-S. Lee, C. Massot, G. Papandreou, and A. Yuille,
    Sensitivity of early visual cortical neurons to edge visual concepts,
    Meeting abstract presented at the Annual Meeting of the Vision Sciences Society (VSS), 2014.
    [doi]   (new)