Publications of the year

Doctoral Dissertations and Habilitation Theses

  • 1V. Kalogeiton.

    Localizing spatially and temporally objects and actions in videos, University of Edinburgh ; Inria Grenoble, September 2017.

  • 2J. Mairal.

    Large-Scale Machine Learning and Applications, UGA - Université Grenoble Alpes, October 2017, Habilitation à diriger des recherches.

  • 3M. Paulin.

    Of Learning Visual Representations Robust to Invariances for Image Classification and Retrieval, Université Grenoble Alpes, February 2017.


Articles in International Peer-Reviewed Journals

  • 4N. Chesneau, K. Alahari, C. Schmid.

    Learning from Web Videos for Event Classification, in: IEEE Transactions on Circuits and Systems for Video Technology, 2017. [ DOI : 10.1109/TCSVT.2017.2764624 ]

  • 5R. G. Cinbis, J. Verbeek, C. Schmid.

    Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, January 2017, vol. 39, no 1, pp. 189-203, https://arxiv.org/abs/1503.00949. [ DOI : 10.1109/TPAMI.2016.2535231 ]

  • 6G. Durif, L. Modolo, J. Michaelsson, J. E. Mold, S. Lambert-Lacroix, F. Picard.

    High Dimensional Classification with combined Adaptive Sparse PLS and Logistic Regression, in: Bioinformatics, 2017, https://arxiv.org/abs/1502.05933. [ DOI : 10.1093/bioinformatics/btx571 ]

  • 7B. Ham, M. Cho, C. Schmid, J. Ponce.

    Proposal Flow: Semantic Correspondences from Object Proposals, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, forthcoming.

  • 8G. Hu, X. Peng, Y. Yang, T. Hospedales, J. Verbeek.

    Frankenstein: Learning Deep Face Representations using Small Data, in: IEEE Transactions on Image Processing, January 2018, vol. 27, no 1, pp. 293-303, https://arxiv.org/abs/1603.06470. [ DOI : 10.1109/TIP.2017.2756450 ]

  • 9A. Mensch, J. Mairal, B. Thirion, G. Varoquaux.

    Stochastic Subsampling for Factorizing Huge Matrices, in: IEEE Transactions on Signal Processing, January 2018, vol. 66, no 1, pp. 113-128, https://arxiv.org/abs/1701.05363. [ DOI : 10.1109/TSP.2017.2752697 ]

  • 10A. Mishra, K. Alahari, C. Jawahar.

    Unsupervised refinement of color and stroke features for text binarization, in: International Journal on Document Analysis and Recognition, June 2017, vol. 20, no 2, pp. 105–121. [ DOI : 10.1007/s10032-017-0283-9 ]

  • 11M. Paulin, J. Mairal, M. Douze, Z. Harchaoui, F. Perronnin, C. Schmid.

    Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach, in: International Journal of Computer Vision, January 2017, vol. 121, no 1, pp. 149–168. [ DOI : 10.1007/s11263-016-0924-3 ]

  • 12G. Varol, I. Laptev, C. Schmid.

    Long-term Temporal Convolutions for Action Recognition, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, https://arxiv.org/abs/1604.04494, forthcoming. [ DOI : 10.1109/TPAMI.2017.2712608 ]


International Conferences with Proceedings

Other Publications