| 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 | 137 | 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 | 109 | 2020 |
| Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection P Baqué, F Fleuret, P Fua ICCV 2017, 2017 | 101 | 2017 |
| Geodesic convolutional shape optimization P Baque, E Remelli, F Fleuret, P Fua International Conference on Machine Learning, 472-481, 2018 | 70 | 2018 |
| Masksembles for uncertainty estimation N Durasov, T Bagautdinov, P Baque, P Fua Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 62 | 2021 |
| Kullback-Leibler proximal variational inference MEE Khan, P Baqué, F Fleuret, P Fua Advances in Neural Information Processing Systems 28, 2015 | 45 | 2015 |
| 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 | 38 | 2018 |
| 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 | 31 | 2016 |
| DeepMesh: Differentiable iso-surface extraction B Guillard, E Remelli, A Lukoianov, SR Richter, T Bagautdinov, P Baque, ... arXiv preprint arXiv:2106.11795, 2021 | 16 | 2021 |
| Neuralsampler: Euclidean point cloud auto-encoder and sampler E Remelli, P Baque, P Fua arXiv preprint arXiv:1901.09394, 2019 | 15 | 2019 |
| 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 |
| 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 | 5 | 2022 |
| 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 | 5 | 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 |
| 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 | 2 | 2023 |
| Mean-Field methods for structured deep-learning in computer vision PB Baqué EPFL, 2018 | 2 | 2018 |
| Shape optimisation of technical devices via gradient descent using convolutional neural network proxies PB Baqué, P Fua, F Fleuret US Patent 11,768,983, 2023 | 1 | 2023 |
| 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 |
| 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 | | 2023 |
