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Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

  • 1J.-B. Alayrac.

    Structured Learning from Videos and Language, Ecole normale supérieure - ENS PARIS, September 2018.

    https://hal.inria.fr/tel-01885412
  • 2G. Chéron.

    Structured modeling and recognition of human actions in video, Ecole normale supérieure - ENS PARIS, December 2018.

    https://hal.inria.fr/tel-01975247
  • 3M. Oquab.

    Convolutional neural networks: towards less supervision for visual recognition, Ecole Normale Supérieure (ENS) ; ED 386 : École doctorale de sciences mathématiques de Paris centre, UPMC, January 2018.

    https://hal.inria.fr/tel-01803967
  • 4M. Trager.

    Cameras, Shapes, and Contours: Geometric Models in Computer Vision, Ecole Normale Superieure de Paris - ENS Paris, July 2018.

    https://hal.inria.fr/tel-01856415
  • 5T.-H. Vu.

    Learning visual models for person detection and action prediction, Ecole Normale Superieure de Paris - ENS Paris, September 2018.

    https://hal.inria.fr/tel-01861455

Articles in International Peer-Reviewed Journals

  • 6B. Ham, M. Cho, J. Ponce.

    Robust Guided Image Filtering Using Nonconvex Potentials, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, January 2018, vol. Vol. 40, no No. 1, pp. 291-207, Accepted pending minor revision. [ DOI : 10.1109/TPAMI.2017.2669034 ]

    https://hal.archives-ouvertes.fr/hal-01279857
  • 7B. Ham, M. Cho, C. Schmid, J. Ponce.

    Proposal Flow: Semantic Correspondences from Object Proposals, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, July 2018, vol. 40, no 7, pp. 1711-1725. [ DOI : 10.1109/TPAMI.2017.2724510 ]

    https://hal.inria.fr/hal-01644132
  • 8K. Kohn, B. Sturmfels, M. Trager.

    Changing Views on Curves and Surfaces, in: Acta Mathematica Vietnamica, 2018, https://arxiv.org/abs/1707.01877 - 31 pages. [ DOI : 10.1007/s40306-017-0240-1 ]

    https://hal.inria.fr/hal-01676208
  • 9I. Rocco, R. Arandjelović, J. Sivic.

    Convolutional neural network architecture for geometric matching, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, pp. 1-14. [ DOI : 10.1109/TPAMI.2018.2865351 ]

    https://hal.archives-ouvertes.fr/hal-01859616
  • 10G. Varol, I. Laptev, C. Schmid.

    Long-term Temporal Convolutions for Action Recognition, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, June 2018, vol. 40, no 6, pp. 1510-1517, https://arxiv.org/abs/1604.04494. [ DOI : 10.1109/TPAMI.2017.2712608 ]

    https://hal.inria.fr/hal-01241518
  • 11Y. Zhang, Y. Su, J. Yang, J. Ponce, H. Kong.

    When Dijkstra meets vanishing point: a stereo vision approach for road detection, in: IEEE Transactions on Image Processing, 2018, pp. 1-12.

    https://hal.archives-ouvertes.fr/hal-01678548

International Conferences with Proceedings

  • 12B. Bukh, X. Goaoc, A. Hubard, M. Trager.

    Consistent Sets of Lines with no Colorful Incidence, in: SoCG 2018 - 34thInternational Symposium on Computational Geometry, Budapest, Hungary, e. Speckmann, C. D. Tóth (editors), Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik, June 2018, pp. 1-20, https://arxiv.org/abs/1803.06267.

    https://hal-upec-upem.archives-ouvertes.fr/hal-01744125
  • 13J. Carpentier, G. Saurel, G. Buondonno, J. Mirabel, F. Lamiraux, O. Stasse, N. Mansard.

    The Pinocchio C++ library – A fast and flexible implementation of rigid body dynamics algorithms and their analytical derivatives, in: SII 2019 - International Symposium on System Integrations, Paris, France, January 2019.

    https://hal.laas.fr/hal-01866228
  • 14G. Chéron, J.-B. Alayrac, I. Laptev, C. Schmid.

    A flexible model for training action localization with varying levels of supervision, in: NIPS 2018 - 32nd Conference on Neural Information Processing Systems, Montréal, Canada, December 2018, pp. 1-17, https://arxiv.org/abs/1806.11328.

    https://hal.inria.fr/hal-01937002
  • 15L. A. Hendricks, O. Wang, E. Shechtman, J. Sivic, T. Darrell, B. Russell.

    Localizing Moments in Video with Temporal Language, in: Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, October 2018, https://arxiv.org/abs/1809.01337 - EMNLP 2018.

    https://hal.archives-ouvertes.fr/hal-01976945
  • 16E. Oyallon, E. Belilovsky, S. Zagoruyko, M. Valko.

    Compressing the Input for CNNs with the First-Order Scattering Transform, in: European Conference on Computer Vision, Munich, Germany, 2018.

    https://hal.inria.fr/hal-01850921
  • 17I. Rocco, R. Arandjelović, J. Sivic.

    End-to-end weakly-supervised semantic alignment, in: CVPR 2018 - IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, United States, June 2018, pp. 1-9.

    https://hal.archives-ouvertes.fr/hal-01859628
  • 18I. Rocco, M. Cimpoi, R. Arandjelović, A. Torii, T. Pajdla, J. Sivic.

    Neighbourhood Consensus Networks, in: 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada, December 2018, https://arxiv.org/abs/1810.10510.

    https://hal.archives-ouvertes.fr/hal-01905474
  • 19T. Sattler, W. Maddern, C. Toft, A. Torii, L. Hammarstrand, E. Stenborg, D. Safari, M. Okutomi, M. Pollefeys, J. Sivic, F. Kahl, T. Pajdla.

    Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, United States, June 2018, https://arxiv.org/abs/1707.09092.

    https://hal.archives-ouvertes.fr/hal-01859660
  • 20H. Taira, M. Okutomi, T. Sattler, M. Cimpoi, M. Pollefeys, J. Sivic, T. Pajdla, A. Torii.

    InLoc: Indoor Visual Localization with Dense Matching and View Synthesis, in: CVPR 2018 - IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, United States, June 2018, https://arxiv.org/abs/1803.10368.

    https://hal.archives-ouvertes.fr/hal-01859637
  • 21M. Trager, B. Osserman, J. Ponce.

    On the Solvability of Viewing Graphs, in: European Conference on Computer Vision 2018 (ECCV 2018), Munich, Germany, September 2018.

    https://hal.inria.fr/hal-01856159
  • 22G. Varol, D. Ceylan, B. Russell, J. Yang, E. Yumer, I. Laptev, C. Schmid.

    BodyNet: Volumetric Inference of 3D Human Body Shapes, in: ECCV 2018 - 15th European Conference on Computer Vision, Munich, Germany, September 2018, pp. 1-27, https://arxiv.org/abs/1804.04875.

    https://hal.inria.fr/hal-01852169

Other Publications



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