Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

• 1R. Sampaio de Rezende.
  
  New methods for image classification, image retrieval and semantic correspondence , École normale supérieure de Paris, December 2017.
  
  https://hal.inria.fr/tel-01676893

Articles in International Peer-Reviewed Journals

• 2J.-B. Alayrac, P. Bojanowski, N. Agrawal, J. Sivic, I. Laptev, S. Lacoste-Julien.
  
  Learning from narrated instruction videos, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, September 2017, vol. XX.
  
  https://hal.archives-ouvertes.fr/hal-01580630
• 3R. Arandjelović, P. Gronat, A. Torii, T. Pajdla, J. Sivic.
  
  NetVLAD: CNN architecture for weakly supervised place recognition, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, June 2017, vol. XX.
  
  https://hal.inria.fr/hal-01557234
• 4B. Ham, M. Cho, J. Ponce.
  
  Robust Guided Image Filtering Using Nonconvex Potentials, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, Accepted pending minor revision.
  
  https://hal.archives-ouvertes.fr/hal-01279857
• 5B. 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.
  
  https://hal.inria.fr/hal-01644132
• 6K. Kohn, B. Sturmfels, M. Trager.
  
  Changing Views on Curves and Surfaces, in: Acta Mathematica Vietnamica, December 2017, https://arxiv.org/abs/1707.01877 - 31 pages. [ DOI : 10.1007/s40306-017-0240-1 ]
  
  https://hal.inria.fr/hal-01676208
• 7J. Ponce, B. Sturmfels, M. Trager.
  
  Congruences and Concurrent Lines in Multi-View Geometry, in: Advances in Applied Mathematics, 2017, vol. 88, pp. 62-91, https://arxiv.org/abs/1608.05924v2.
  
  https://hal.inria.fr/hal-01423057
• 8A. Torii, R. Arandjelovic, J. Sivic, M. Okutomi, T. Pajdla.
  
  24/7 place recognition by view synthesis, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, February 2017, 14 p. [ DOI : 10.1109/TPAMI.2017.2667665 ]
  
  https://hal.inria.fr/hal-01616660
• 9G. 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 ]
  
  https://hal.inria.fr/hal-01241518
• 10Y. 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, forthcoming.
  
  https://hal.archives-ouvertes.fr/hal-01678548

International Conferences with Proceedings

• 11J.-B. Alayrac, J. Sivic, I. Laptev, S. Lacoste-Julien.
  
  Joint Discovery of Object States and Manipulation Actions, in: ICCV 2017 - IEEE International Conference on Computer Vision, Venice, Italy, October 2017, https://arxiv.org/abs/1702.02738 - Appears in: International Conference on Computer Vision 2017 (ICCV 2017). 15 pages.
  
  https://hal.archives-ouvertes.fr/hal-01676084
• 12R. Girdhar, D. Ramanan, A. Gupta, J. Sivic, B. Russell.
  
  ActionVLAD: Learning spatio-temporal aggregation for action classification, in: IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, United States, 2017, https://arxiv.org/abs/1704.02895 - Project page: https://rohitgirdhar.github.io/ActionVLAD/.
  
  https://hal.inria.fr/hal-01678686
• 13K. K. Han, R. S. Rezende, B. Ham, K.-Y. K. Wong, M. Cho, C. S. Schmid, J. S. Ponce.
  
  SCNet: Learning Semantic Correspondence, in: International Conference on Computer Vision, Venise, Italy, International conference on computer vision, October 2017, https://arxiv.org/abs/1705.04043.
  
  https://hal.archives-ouvertes.fr/hal-01576117
• 14L. A. Hendricks, O. Wang, E. Shechtman, J. Sivic, T. Darrell, B. Russell.
  
  Localizing Moments in Video with Natural Language, in: IEEE International Conference on Computer Vision - ICCV 2017, Venice, Italy, October 2017, https://arxiv.org/abs/1708.01641.
  
  https://hal.inria.fr/hal-01678699
• 15A. Miech, J.-B. Alayrac, P. Bojanowski, I. Laptev, J. Sivic.
  
  Learning from Video and Text via Large-Scale Discriminative Clustering, in: ICCV 2017 - IEEE International Conference on Computer Vision, Venice, Italy, October 2017, https://arxiv.org/abs/1707.09074.
  
  https://hal.inria.fr/hal-01569540
• 16A. Osokin, F. Bach, S. Lacoste-Julien.
  
  On Structured Prediction Theory with Calibrated Convex Surrogate Losses, in: The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, United States, December 2017, https://arxiv.org/abs/1703.02403.
  
  https://hal.archives-ouvertes.fr/hal-01611691
• 17A. Osokin, A. Chessel, R. E. C. Salas, F. Vaggi.
  
  GANs for Biological Image Synthesis, in: ICCV 2017 - IEEE International Conference on Computer Vision, Venice, Italy, October 2017, https://arxiv.org/abs/1708.04692.
  
  https://hal.archives-ouvertes.fr/hal-01611692
• 18J. Peyre, I. Laptev, C. Schmid, J. Sivic.
  
  Weakly-supervised learning of visual relations, in: ICCV 2017- International Conference on Computer Vision 2017, Venice, Italy, October 2017, https://arxiv.org/abs/1707.09472.
  
  https://hal.archives-ouvertes.fr/hal-01576035
• 19R. S. Rezende, J. Zepeda, J. S. Ponce, F. S. Bach, P. Pérez.
  
  Kernel Square-Loss Exemplar Machines for Image Retrieval, in: Computer Vision and Pattern Recognition 2017, Honolulu, United States, Computer vision and pattern recognition 2017, July 2017.
  
  https://hal.inria.fr/hal-01515224
• 20I. Rocco, R. Arandjelović, J. Sivic.
  
  Convolutional neural network architecture for geometric matching, in: CVPR 2017 - IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, United States, July 2017, https://arxiv.org/abs/1703.05593.
  
  https://hal.inria.fr/hal-01513001
• 21T. Sattler, A. Torii, J. Sivic, M. Pollefeys, H. Taira, M. Okutomi, T. Pajdla.
  
  Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?, in: CVPR 2017 - IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, United States, July 2017, 10 p.
  
  https://hal.inria.fr/hal-01513083
• 22M. Trager, B. Sturmfels, J. Canny, M. Hebert, J. Ponce.
  
  General models for rational cameras and the case of two-slit projections, in: CVPR 2017 - IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, United States, July 2017, https://arxiv.org/abs/1612.01160v4.
  
  https://hal.archives-ouvertes.fr/hal-01506996
• 23G. Varol, J. J. Romero, X. Martin, N. Mahmood, M. J. Black, I. Laptev, C. Schmid.
  
  Learning from Synthetic Humans, in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, United States, July 2017, https://arxiv.org/abs/1701.01370. [ DOI : 10.1109/CVPR.2017.492 ]
  
  https://hal.inria.fr/hal-01505711

Scientific Books (or Scientific Book chapters)

• 24PARTHENOS (editor)
  
  Digital 3D Objects in Art and Humanities: challenges of creation, interoperability and preservation. White paper: A result of the PARTHENOS Workshop held in Bordeaux at Maison des Sciences de l’Homme d’Aquitaine and at Archeovision Lab. (France), November 30th - December 2nd, 2016, PARTHENOS, Bordeaux, France, May 2017, 71 p.
  
  https://hal.inria.fr/hal-01526713

Other Publications

• 25R. Leblond, J.-B. Alayrac, A. Osokin, S. Lacoste-Julien.
  
  SEARNN: Training RNNs with global-local losses, December 2017, https://arxiv.org/abs/1706.04499 - 12 pages.
  
  https://hal.inria.fr/hal-01665263
• 26A. Miech, I. Laptev, J. Sivic.
  
  Learnable pooling with Context Gating for video classification, June 2017, https://arxiv.org/abs/1706.06905 - working paper or preprint.
  
  https://hal.inria.fr/hal-01547378
• 27M. Trager, M. Hebert, J. Ponce.
  
  On point configurations, Carlsson-Weinshall duality, and multi-view geometry, January 2018, working paper or preprint.
  
  https://hal.inria.fr/hal-01676732