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, n^o 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, n^o 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, n^o 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

• 23R. Budhiraja, J. Carpentier, N. Mansard.
  Dynamics Consensus between Centroidal and Whole-Body Models for Locomotion of Legged Robots, September 2018, Accepted for IEEE International Conference on Robotics and Automation 2019.
  https://hal.laas.fr/hal-01875031
• 24G. Chéron, A. Osokin, I. Laptev, C. Schmid.
  Modeling Spatio-Temporal Human Track Structure for Action Localization, January 2019, https://arxiv.org/abs/1806.11008 - working paper or preprint.
  https://hal.inria.fr/hal-01979583
• 25T. Eboli, J. Sun, J. Ponce.
  Neural Embedding of an Iterative Deconvolution Algorithm for Motion Blur Estimation and Removal, August 2018, working paper or preprint.
  https://hal.inria.fr/hal-01857177
• 26M. Hahn, N. Ruiz, J.-B. Alayrac, I. Laptev, J. M. Rehg.
  Learning to Localize and Align Fine-Grained Actions to Sparse Instructions, January 2019, https://arxiv.org/abs/1809.08381 - working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-01979719
• 27X. S. Hu, S. Zagoruyko, N. Komodakis.
  Exploring Weight Symmetry in Deep Neural Networks, December 2018, https://arxiv.org/abs/1812.11027 - working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-01978633
• 28B. Kim, J. Ponce, B. Ham.
  Deformable Kernel Networks for Joint Image Filtering, October 2018, working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-01857016
• 29A. Miech, I. Laptev, J. Sivic.
  Learning a Text-Video Embedding from Incomplete and Heterogeneous Data, January 2019, working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-01975102
• 30B. Osserman, M. Trager.
  Multigraded Cayley-Chow Forms, August 2018, working paper or preprint.
  https://hal.inria.fr/hal-01856190
• 31J. Peyre, I. Laptev, C. Schmid, J. Sivic.
  Detecting rare visual relations using analogies, January 2019, https://arxiv.org/abs/1812.05736 - working paper or preprint.
  https://hal.archives-ouvertes.fr/hal-01975760
• 32M. Trager, J. Ponce.
  In Defense of Relative Multi-View Geometry, August 2018, working paper or preprint.
  https://hal.inria.fr/hal-01676732
• 33T.-H. Vu, A. Osokin, I. Laptev.
  Tube-CNN: Modeling temporal evolution of appearance for object detection in video, January 2019, https://arxiv.org/abs/1812.02619 - 13 pages, 8 figures, technical report.
  https://hal.archives-ouvertes.fr/hal-01980339