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Bibliography

Publications of the year

Articles in International Peer-Reviewed Journals

  • 1H. Aghighi, J. Trinder, Y. Tarabalka, S. Lim.

    Dynamic Block-Based Parameter Estimation for MRF Classification of High-Resolution Images, in: IEEE Geoscience and Remote Sensing Letters, October 2014, vol. 11, no 10, pp. 1687-1691.

    https://hal.inria.fr/hal-01016505
  • 2P. Craciun, J. Zerubia.

    Unsupervised marked point process model for boat extraction and counting in harbors from high resolution optical remotely sensed images, in: Revue Francaise de Photogrammétrie et Télédétection, July 2014, no 207, pp. 33-44.

    https://hal.inria.fr/hal-01119448
  • 3Y. Tarabalka, G. Charpiat, L. Brucker, B. Menze.

    Spatio-Temporal Video Segmentation with Shape Growth or Shrinkage Constraint, in: IEEE Transactions on Image Processing, September 2014, vol. 23, no 9, pp. 3829-3840.

    https://hal.inria.fr/hal-01052543
  • 4A. Voisin, V. Krylov, G. Moser, S. B. Serpico, J. Zerubia.

    Supervised Classification of Multi-sensor and Multi-resolution Remote Sensing Images with a Hierarchical Copula-based Approach, in: IEEE Transactions on Geoscience and Remote Sensing, June 2014, vol. 52, no 6, pp. 3346-3358. [ DOI : 10.1109/TGRS.2013.2272581 ]

    https://hal.inria.fr/hal-00841234

International Conferences with Proceedings

  • 5H. Aghighi, J. Trinder, K. Wang, Y. Tarabalka, S. Lim.

    Smoothing parameter estimation for Markov random field classification of non-Gaussian distribution image, in: ISPRS TC VII Symposium, Istanbul, Turkey, September 2014.

    https://hal.inria.fr/hal-01068242
  • 6A. Boisbunon, R. Flamary, A. Rakotomamonjy.

    Active set strategy for high-dimensional non-convex sparse optimization problems, in: ICASSP - IEEE International Conference on Acoustics Speech and Signal Processing, Florence, Italy, May 2014.

    https://hal.inria.fr/hal-01025585
  • 7A. Boisbunon, R. Flamary, A. Rakotomamonjy, A. Giros, J. Zerubia.

    Large Scale Sparse Optimization for Object Detection in High Resolution Images, in: MLSP - 24th IEEE Workshop on Machine Learning for Signal Processing, Reims, France, September 2014.

    https://hal.inria.fr/hal-01066235
  • 8A. Boisbunon, J. Zerubia.

    Estimation of the Weight Parameter with SAEM for Marked Point Processes Applied to Object Detection, in: EUSIPCO - 22nd European Signal Processing Conference, Lisbonne, Portugal, September 2014.

    https://hal.inria.fr/hal-01066232
  • 9P. Craciun, J. Zerubia.

    Towards efficient simulation of marked point process models for boat extraction from high resolution optical remotely sensed images, in: IEEE IGARSS - International Geoscience and Remote Sensing Symposium, Quebec, Canada, July 2014.

    https://hal.inria.fr/hal-01016874
  • 10I. Hedhli, G. Moser, J. Zerubia, S. B. Serpico.

    Fusion of multitemporal and multiresolution remote sensing data and application to natural disasters, in: IEEE IGARSS - International Geoscience and Remote Sensing Symposium, Québec, Canada, July 2014.

    https://hal.inria.fr/hal-01022380
  • 11I. Hedhli, G. Moser, J. Zerubia, S. B. Serpico.

    New cascade model for hierarchical joint classification of multitemporal, multiresolution and multisensor remote sensing data, in: IEEE ICIP - International Conference on Image Processing, Paris, France, October 2014.

    https://hal.inria.fr/hal-01071034
  • 12S.-G. Jeong, Y. Tarabalka, J. Zerubia.

    Marked point process model for facial wrinkle detection, in: IEEE ICIP - International Conference on Image Processing, Paris, France, October 2014, pp. 1391-1394.

    https://hal.inria.fr/hal-01066231
  • 13S.-G. Jeong, Y. Tarabalka, J. Zerubia.

    Marked Point Process Model for Curvilinear Structures Extraction, in: EMMCVPR 2015, Hong Kong, Hong Kong SAR China, LNCS 8932, January 2015, pp. 436-449. [ DOI : 10.1007/978-3-319-14612-6_32 ]

    https://hal.inria.fr/hal-01084939
  • 14P. Singh, Z. Kato, J. Zerubia.

    A Multilayer Markovian Model for Change Detection in Aerial Image Pairs with Large Time Differences, in: International Conference on Pattern Recognition (ICPR'14), Stockholm, Sweden, August 2014.

    https://hal.inria.fr/hal-01016820
  • 15Y. Tarabalka, A. Rana.

    Graph-Cut-Based Model for Spectral-Spatial Classification of Hyperspectral Images, in: IEEE IGARSS - International Geoscience and Remote Sensing Symposium, Quebec, Canada, July 2014.

    https://hal.inria.fr/hal-01011495
  • 16Q. Xie, I. H. Jermyn, S. Kurtek, A. Srivastava.

    Numerical Inversion of SRNFs for Efficient Elastic Shape Analysis of Star-Shaped Objects, in: ECCV - European Conference on Computer Vision, Zurich, Switzerland, Lecture Notes in Computer Science, Springer, September 2014, vol. 8693, pp. 485–499. [ DOI : 10.1007/978-3-319-10602-1_32 ]

    https://hal.inria.fr/hal-01072008

Conferences without Proceedings

  • 17P. Craciun, M. Ortner, J. Zerubia.

    Joint detection and tracking of moving objects using spatio-temporal marked point processes, in: IEEE Winter Conference on Applications of Computer Vision, Hawaii, United States, January 2015.

    https://hal.inria.fr/hal-01104981

Scientific Books (or Scientific Book chapters)

  • 18J. Tilton, A. Selim, Y. Tarabalka.

    Image segmentation algorithms for land categorization, in: Remote Sensing Handbook, P. S. Thenkabail (editor), Taylor and Francis, September 2015.

    https://hal.inria.fr/hal-01068167

Internal Reports

  • 19E. Maggiori, Y. Tarabalka, G. Charpiat.

    Multi-label segmentation of images with partition trees, Inria Sophia Antipolis, November 2014.

    https://hal.inria.fr/hal-01084166


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