Team Willow
Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
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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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