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Last submissions
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry. Unsupervised cycle-consistent deformation for shape matching.
Computer Graphics Forum
, 2019, 38 (5), pp.123-133.
⟨10.1111/cgf.13794⟩
.
⟨hal-02178969⟩
Xu Shell Hu, Sergey Zagoruyko, Nikos Komodakis. Exploring Weight Symmetry in Deep Neural Networks.
Computer Vision and Image Understanding
, 2019, 187,
⟨10.1016/j.cviu.2019.07.006⟩
.
⟨hal-01978633⟩
Xi Shen. Deep Learning for Near-duplicated Patterns Discovery and Alignment in Artworks. Artificial Intelligence [cs.AI]. École des Ponts ParisTech, 2021. English.
⟨NNT : 2021ENPC0040⟩
.
⟨tel-03583653v2⟩
Clément Mallet, Florent Lafarge, Frédéric Bretar, Michel Roux, Uwe Soergel, et al.. A stochastic approach for modelling airborne lidar waveforms.
Laserscanning
, Sep 2009, Paris, France.
⟨hal-02384727⟩
Pascal Monasse. A Root-to-Leaf Algorithm Computing the Tree of Shapes of an Image.
Workshop on Reproducible Research in Pattern Recognition
, Aug 2018, Beijing, China.
⟨10.1007/978-3-030-23987-9_3⟩
.
⟨hal-02168487⟩
Benjamin Dubois, Jean-François Delmas, Guillaume Obozinski. Fast Algorithms for Sparse Reduced-Rank Regression.
Proceedings of Machine Learning Research
, 2019, Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, 89, pp.2415-2424.
⟨hal-02075623⟩
Marcin Gajewski, Pierre-Alain Langlois. Prediction of Asphalt Concrete Low-temperature Cracking Resistance on the Basis of Different Constitutive Models.
Procedia Engineering
, 2014, 91, pp.81-86.
⟨10.1016/j.proeng.2014.12.016⟩
.
⟨hal-02057686⟩
Yuan Yuan, Yueming Lyu, Xi Shen, Ivor Tsang, Dit-Yan Yeung. Marginalized Average Attentional Network for Weakly-Supervised Learning.
ICLR 2019 - Seventh International Conference on Learning Representations
, May 2019, New-Orleans, United States.
⟨hal-02057597⟩
Alexandre Boulch, Simon Houllier, Renaud Marlet, Olivier Tournaire. Semantizing Complex 3D Scenes using Constrained Attribute Grammars.
Computer Graphics Forum
, 2013, 32 (5), pp.33-42.
⟨10.1111/cgf.12170⟩
.
⟨hal-00864707⟩
Pascal Monasse. Highly accurate computer vision and image comparison. Computer Vision and Pattern Recognition [cs.CV]. Ecole Normale Supérieure de Cachan, 2013.
⟨tel-02025040⟩
Martin Simonovsky. Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back. Machine Learning [cs.LG]. Université Paris-Est, 2018. English.
⟨NNT : ⟩
.
⟨tel-01990372⟩
Martin Simonovsky, Nikos Komodakis. GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders.
27th International Conference on Artificial Neural Networks (ICANN)
, Oct 2018, Rhodes, Greece.
⟨10.1007/978-3-030-01418-6_41⟩
.
⟨hal-01990381⟩
Thibaud Briand. Image Formation from a Large Sequence of RAW Images : performance and accuracy. Image Processing [eess.IV]. Université Paris-Est, 2018. English.
⟨NNT : 2018PESC1017⟩
.
⟨tel-01980492⟩
Spyros Gidaris, Nikos Komodakis. Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise Labeling. [Research Report] LIGM - Laboratoire d'Informatique Gaspard-Monge; ENPC - École des Ponts ParisTech; IMAGINE [Marne-la-Vallée]. 2019.
⟨hal-01976855⟩
Bertrand Neveu, Martin de La Gorce, Pascal Monasse, Gilles Trombettoni. A Generic Interval Branch and Bound Algorithm for Parameter Estimation.
Journal of Global Optimization
, 2019, 73 (3), pp.515-535.
⟨10.1007/s10898-018-0721-3⟩
.
⟨hal-01942306⟩
Loic Landrieu, Martin Simonovsky. Segmentation Sémantique à Grande Echelle par Graphe de Superpoints.
RFIAP
, Jun 2018, Marne-la-Vallée, France.
⟨hal-01939229⟩
Bertrand Neveu, Martin de La Gorce, Pascal Monasse, Gilles Trombettoni. An Interval Branch and Bound Algorithm for Parameter Estimation and Application to Stereovision.
LeGO 2018 - 14th International Workshop on Global Optimization
, Sep 2018, Leiden, Netherlands.
⟨10.1063/1.5089999⟩
.
⟨hal-01927682⟩
Bertrand Neveu, Gilles Trombettoni, Ignacio Araya. Adaptive constructive interval disjunction: algorithms and experiments.
Constraints
, 2015, 20 (7), pp.452-467.
⟨10.1007/s10601-015-9180-3⟩
.
⟨hal-01119535⟩
Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, et al.. Scattering Networks for Hybrid Representation Learning.
IEEE Transactions on Pattern Analysis and Machine Intelligence
, 2018, pp.11.
⟨10.1109/TPAMI.2018.2855738⟩
.
⟨hal-01837587⟩
Thibault Groueix, Matthew Fisher, Vladimir G Kim, Bryan Russell, Mathieu Aubry. 3D-CODED : 3D Correspondences by Deep Deformation.
ECCV 2018
, Sep 2018, Munich, Germany.
⟨hal-01830474v2⟩
Number of fulltext
279
Number of reference
115
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