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Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

  • 1T. Dalens.

    Learnable factored image representations for visual discovery, Ecole Normale Superieure de Paris - ENS Paris, September 2019.

    https://hal.inria.fr/tel-02296150
  • 2J. Peyre.

    Learning to detect visual relations, Ecole Normale Superieure de Paris - ENS Paris, August 2019.

    https://hal.inria.fr/tel-02332673
  • 3G. Varol.

    Learning human body and human action representations from visual data, Ecole Normale Supérieure (ENS) ; ED 386 : École doctorale de sciences mathématiques de Paris centre, UPMC, May 2019.

    https://hal.inria.fr/tel-02266593

Articles in International Peer-Reviewed Journals

  • 4F. Bailly, J. Carpentier, M. Benallegue, B. Watier, P. Souères.

    Estimating the Center of Mass and the Angular Momentum Derivative for Legged Locomotion — A recursive approach, in: IEEE Robotics and Automation Letters, October 2019, vol. 4, no 4, pp. 4155-4162. [ DOI : 10.1109/LRA.2019.2931200 ]

    https://hal.archives-ouvertes.fr/hal-02058890
  • 5T. Dalens, M. Aubry, J. Sivic.

    Bilinear image translation for temporal analysis of photo collections, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, October 2019. [ DOI : 10.1109/TPAMI.2019.2950317 ]

    https://hal.inria.fr/hal-02452091
  • 6P. Fernbach, S. Tonneau, O. Stasse, J. Carpentier, M. Taïx.

    C-CROC: Continuous and Convex Resolution of Centroidal dynamic trajectories for legged robots in multi-contact scenarios, in: IEEE Transactions on Robotics, January 2020, pp. 1-16, forthcoming. [ DOI : 10.1109/TRO.2020.2964787 ]

    https://hal.laas.fr/hal-01894869
  • 7X. S. Hu, S. Zagoruyko, N. Komodakis.

    Exploring Weight Symmetry in Deep Neural Networks, in: Computer Vision and Image Understanding, August 2019, vol. 187, https://arxiv.org/abs/1812.11027. [ DOI : 10.1016/j.cviu.2019.07.006 ]

    https://hal.archives-ouvertes.fr/hal-01978633
  • 8A. Torii, H. Taira, J. Sivic, M. Pollefeys, M. Okutomi, T. Pajdla, T. Sattler.

    Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, September 2019, vol. XX, pp. 1-14. [ DOI : 10.1109/TPAMI.2019.2941876 ]

    https://hal.inria.fr/hal-02448029

International Conferences with Proceedings

  • 9R. Budhiraja, J. Carpentier, N. Mansard.

    Dynamics Consensus between Centroidal and Whole-Body Models for Locomotion of Legged Robots, in: ICRA 2019 - IEEE International Conference on Robotics and Automation, Montreal, Canada, May 2019.

    https://hal.laas.fr/hal-01875031
  • 10J. 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
  • 12Y. Ding, J. Yang, J. Ponce, H. Kong.

    An Efficient Solution to the Homography-Based Relative Pose Problem With a Common Reference Direction, in: ICCV 2019 - International Conference on Computer Vision, Seoul, South Korea, October 2019.

    https://hal.archives-ouvertes.fr/hal-02266544
  • 13M. Dusmanu, I. Rocco, T. Pajdla, M. Pollefeys, J. Sivic, A. Torii, T. Sattler.

    D2-Net: A Trainable CNN for Joint Detection and Description of Local Features, in: CVPR 2019 - IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, United States, June 2019, https://arxiv.org/abs/1905.03561 - Accepted at CVPR 2019.

    https://hal.archives-ouvertes.fr/hal-02438461
  • 14Y. Hasson, G. Varol, D. Tzionas, I. Kalevatykh, M. J. Black, I. Laptev, C. Schmid.

    Learning joint reconstruction of hands and manipulated objects, in: CVPR 2019 - IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, United States, IEEE, June 2019, pp. 1-14.

    https://hal.archives-ouvertes.fr/hal-02429093
  • 15J. Lee, D. Kim, J. S. Ponce, B. Ham.

    SFNet: Learning Object-aware Semantic Correspondence, in: CVPR 2019 - Computer Vision and Pattern Recognition, Longbeach, United States, June 2019.

    https://hal.archives-ouvertes.fr/hal-02088666
  • 16A. Miech, D. Zhukov, J.-B. Alayrac, M. Tapaswi, I. Laptev, J. Sivic.

    HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips, in: ICCV 2019 - International Conference on Computer Vision, Séoul, South Korea, International Conference on Computer Vision, October 2019, https://arxiv.org/abs/1906.03327 - Accepted at ICCV 2019.

    https://hal.archives-ouvertes.fr/hal-02433497
  • 17J. Min, J. Lee, J. Ponce, M. Cho.

    Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features, in: ICCV 2019 - International Conference on Computer Vision, Seoul, South Korea, October 2019.

    https://hal.archives-ouvertes.fr/hal-02267044
  • 18A. Pashevich, R. Strudel, I. Kalevatykh, I. Laptev, C. Schmid.

    Learning to Augment Synthetic Images for Sim2Real Policy Transfer, in: IROS 2019 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Macao, China, November 2019, pp. 1-6, https://arxiv.org/abs/1903.07740 - 7 pages.

    https://hal.archives-ouvertes.fr/hal-02273326
  • 19J. Peyre, I. Laptev, C. Schmid, J. Sivic.

    Detecting unseen visual relations using analogies, in: ICCV 2019 - International Conference on Computer Vision, Seoul, South Korea, October 2019, https://arxiv.org/abs/1812.05736v3.

    https://hal.archives-ouvertes.fr/hal-01975760
  • 20R. Strudel, A. Pashevich, I. Kalevatykh, I. Laptev, J. Sivic, C. Schmid.

    Learning to combine primitive skills: A step towards versatile robotic manipulation, in: ICRA, Paris, France, May 2020, https://arxiv.org/abs/1908.00722 - 11 pages.

    https://hal.archives-ouvertes.fr/hal-02274969
  • 21H. Taira, I. Rocco, J. Sedlar, M. Okutomi, J. Sivic, T. Pajdla, T. Sattler, A. Torii.

    Is This The Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization, in: ICCV 2019 - International Conference on Computer Vision, Seoul, South Korea, October 2019, https://arxiv.org/abs/1908.04598.

    https://hal.archives-ouvertes.fr/hal-02438468
  • 22M. Tapaswi, M. T. Law, S. Fidler.

    Video Face Clustering with Unknown Number of Clusters, in: ICCV 2019 - International Conference on Computer Vision, Seoul, South Korea, October 2019, https://arxiv.org/abs/1908.03381 - Accepted to ICCV 2019, code and data at https://github.com/makarandtapaswi/BallClustering_ICCV2019.

    https://hal.inria.fr/hal-02435407
  • 23M. Trager, M. Hebert, J. Ponce.

    Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-ViewGeometry, in: CVPR 2019 - IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, United States, June 2019.

    https://hal.inria.fr/hal-01676732
  • 24Y. Zhang, Y. Gao, S. Gu, Y. Guo, M. Liu, Z. Sun, Z. Hou, H. Yang, Y. Wang, J. Yang, J. Ponce, H. Kong.

    Build your own hybrid thermal/EO camera for autonomous vehicle, in: ICRA 2019 - IEEE International Conference on Robotics and Automation, Montreal, Canada, May 2019, to appear in the Proc. of the IEEE International Conference on Robotics and Automation, 2019.

    https://hal.inria.fr/hal-02051880
  • 25D. Zhukov, J.-B. Alayrac, R. G. Cinbis, D. F. Fouhey, I. Laptev, J. Sivic.

    Cross-task weakly supervised learning from instructional videos, in: CVPR 2019 - IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, CA, United States, June 2019.

    https://hal.archives-ouvertes.fr/hal-02434806

Other Publications



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