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

[1]
T. Dalens.
Learnable factored image representations for visual discovery, Ecole Normale Superieure de Paris - ENS Paris, September 2019.
https://hal.inria.fr/tel-02296150
[2]
J. Peyre.
Learning to detect visual relations, Ecole Normale Superieure de Paris - ENS Paris, August 2019.
https://hal.inria.fr/tel-02332673
[3]
G. 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

[4]
F. 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
[5]
T. 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
[6]
P. 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
[7]
X. 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
[8]
A. 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

[9]
R. 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
[10]
J. 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
[11]
Best Paper
H. Cisneros, J. Sivic, T. Mikolov.
Evolving Structures in Complex Systems, in: SSCI 2019 - IEEE Symposium Series on Computational Intelligence, Xiamen, China, December 2019, https://arxiv.org/abs/1911.01086 - IEEE Symposium Series on Computational Intelligence 2019 (IEEE SSCI 2019).
https://hal.inria.fr/hal-02448134
[12]
Y. 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
[13]
M. 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
[14]
Y. 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
[15]
J. 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
[16]
A. 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
[17]
J. 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
[18]
A. 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
[19]
J. 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
[20]
R. 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
[21]
H. 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
[22]
M. 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
[23]
M. 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
[24]
Y. 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
[25]
D. 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

[26]
G. 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
[27]
M. 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
[28]
B. Kim, J. Ponce, B. Ham.
Deformable Kernel Networks for Joint Image Filtering, January 2020, working paper or preprint. [ DOI : 10.1007/s11263-018-1074-6 ]
https://hal.archives-ouvertes.fr/hal-01857016
[29]
B. Lecouat, J. Ponce, J. Mairal.
Revisiting Non Local Sparse Models for Image Restoration, December 2019, working paper or preprint.
https://hal.inria.fr/hal-02414291
[30]
J. Lee, D. Kim, W. Lee, J. Ponce, B. Ham.
Learning Semantic Correspondence Exploiting an Object-level Prior, January 2020, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02433226
[31]
C. Mastalli, R. Budhiraja, W. Merkt, G. Saurel, B. Hammoud, M. Naveau, J. Carpentier, S. Vijayakumar, N. Mansard.
Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control, September 2019, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02294059
[32]
A. Miech, J.-B. Alayrac, L. Smaira, I. Laptev, J. Sivic, A. Zisserman.
End-to-End Learning of Visual Representations from Uncurated Instructional Videos, January 2020, https://arxiv.org/abs/1912.06430 - working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02433504
[33]
A. 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
[34]
A. Miech, I. Laptev, J. Sivic, H. Wang, L. Torresani, D. Tran.
Leveraging the Present to Anticipate the Future in Videos, January 2020, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02433506
[35]
G. Varol, I. Laptev, C. Schmid, A. Zisserman.
Synthetic Humans for Action Recognition from Unseen Viewpoints, January 2020, https://arxiv.org/abs/1912.04070 - working paper or preprint.
https://hal.inria.fr/hal-02435731
[36]
T.-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
[37]
S. Zagoruyko, Y. Labbé, I. Kalevatykh, I. Laptev, J. Carpentier, M. Aubry, J. Sivic.
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning, April 2019, https://arxiv.org/abs/1904.10348 - working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02108930