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 | 198 | 2018 |
Meshsdf: Differentiable iso-surface extraction E Remelli, A Lukoianov, S Richter, B Guillard, T Bagautdinov, P Baque, ... Advances in Neural Information Processing Systems 33, 22468-22478, 2020 | 151 | 2020 |
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection P Baqué, F Fleuret, P Fua ICCV 2017, 2017 | 120 | 2017 |
Masksembles for uncertainty estimation N Durasov, T Bagautdinov, P Baque, P Fua Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 92 | 2021 |
Geodesic convolutional shape optimization P Baque, E Remelli, F Fleuret, P Fua International Conference on Machine Learning, 472-481, 2018 | 90 | 2018 |
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 Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 52 | 2018 |
Kullback-Leibler proximal variational inference MEE Khan, P Baqué, F Fleuret, P Fua Advances in neural information processing systems 28, 2015 | 50 | 2015 |
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 | 32 | 2016 |
DeepMesh: Differentiable iso-surface extraction B Guillard, E Remelli, A Lukoianov, P Yvernay, SR Richter, T Bagautdinov, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 22 | 2024 |
Neuralsampler: Euclidean point cloud auto-encoder and sampler E Remelli, P Baque, P Fua arXiv preprint arXiv:1901.09394, 2019 | 17 | 2019 |
Hybridsdf: Combining deep implicit shapes and geometric primitives for 3d shape representation and manipulation S Vasu, N Talabot, A Lukoianov, P Baqué, J Donier, P Fua 2022 International Conference on 3D Vision (3DV), 617-626, 2022 | 12 | 2022 |
A comparative study of learning techniques for the compressible aerodynamics over a transonic RAE2822 airfoil G Catalani, D Costero, M Bauerheim, L Zampieri, V Chapin, N Gourdain, ... Computers & Fluids 251, 105759, 2023 | 10 | 2023 |
The Wildtrack Multi-Camera Person Dataset T Chavdarova, P Baqué, S Bouquet, A Maksai, C Jose, L Lettry, P Fua, ... Conference on Computer Vision and Pattern Recognition, 2018 | 10 | 2018 |
Cijo Jose, Louis Lettry, Pascal Fua, Luc Van Gool, and François Fleuret. The wildtrack multi-camera person dataset T Chavdarova, P Baqué, S Bouquet, A Maksai arXiv preprint arXiv 1707, 2017 | 7 | 2017 |
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 | 5 | 2017 |
Hybridsdf: combining free form shapes and geometric primitives for effective shape manipulation S Vasu, N Talabot, A Lukoianov, P Baque, J Donier, P Fua ArXiv abs/2109.10767 4, 2021 | 4 | 2021 |
Geodesic Convolutional Neural Network Characterization of Macro-Porous Latent Thermal Energy Storage N Mallya, P Baqué, P Yvernay, A Pozzetti, P Fua, S Haussener ASME Journal of Heat and Mass Transfer 145 (5), 052902, 2023 | 1 | 2023 |
Mean-Field methods for structured deep-learning in computer vision PB Baqué EPFL, 2018 | 1 | 2018 |
A provably convergent alternating minimization method for mean field inference P Baque, JH Hours, F Fleuret, P Fua arXiv preprint arXiv:1502.05832, 2015 | 1 | 2015 |
Differentiable parametric computer-assisted design solution P Baqué, A Lukoianov, J Donier, T Allard US Patent App. 18/270,835, 2024 | | 2024 |