Pierre Baqué
Pierre Baqué
確認したメール アドレス: epfl.ch
タイトル
引用先
引用先
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection
P Baqué, F Fleuret, P Fua
ICCV 2017, 2017
482017
Wildtrack: A multi-camera hd dataset for dense unscripted pedestrian detection
T Chavdarova, P Baqué, S Bouquet, A Maksai, C Jose, T Bagautdinov, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
38*2018
Kullback-Leibler proximal variational inference
E Khan, P Baqué, F Fleuret, P Fua
Proceedings of the international conference on Neural Information Processing …, 2015
322015
Principled parallel mean-field inference for discrete random fields
P Baqué, T Bagautdinov, F Fleuret, P Fua
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
252016
Geodesic convolutional shape optimization
P Baque, E Remelli, F Fleuret, P Fua
International Conference on Machine Learning, 472-481, 2018
202018
MeshSDF: Differentiable Iso-Surface Extraction
E Remelli, A Lukoianov, SR Richter, B Guillard, T Bagautdinov, P Baque, ...
arXiv preprint arXiv:2006.03997, 2020
72020
Cijo Jose, Timur Bagautdinov, Louis Lettry, Pascal Fua, Luc Van Gool, and François Fleuret. Wildtrack: A multi-camera hd dataset for dense unscripted pedestrian detection
T Chavdarova, P Baqué, S Bouquet, A Maksai
Proc. CVPR, 5030-5039, 2018
62018
Multi-modal mean-fields via cardinality-based clamping
P Baqué, F Fleuret, P Fua
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
62017
Masksembles for uncertainty estimation
N Durasov, T Bagautdinov, P Baque, P Fua
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
42021
NeuralSampler: Euclidean point cloud auto-encoder and sampler
E Remelli, P Baque, P Fua
arXiv preprint arXiv:1901.09394, 2019
42019
A provably convergent alternating minimization method for mean field inference
P Baque, JH Hours, F Fleuret, P Fua
arXiv preprint arXiv:1502.05832, 2015
12015
Shape optimisation of technical devices via gradient descent using convolutional neural network proxies
PB BAQUÉ, P Fua, F FLEURET
US Patent App. 16/641,849, 2021
2021
Geodesic Convolutional Neural Network for 3D Deep-Learning based Surrogate Modeling and Optimization
P Baqué, T Allard, S Baset, T Vont Tschammer, L Zampieri, P Fua
2020
Mean-Field methods for Structured Deep-Learning in Computer Vision
PB Baqué
EPFL, 2018
2018
WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection–Supplementary Material–
T Chavdarova, P Baqué, S Bouquet, A Maksai, C Jose, T Bagautdinov, ...
Supplementary material: Geodesic Deep Shape Optimization
P Baque, E Remelli, F Fleuret, P Fua
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