Pierre Bruno Baqué
Pierre Baqué received an engineering degree in Applied Mathematics and a Masters degree in Operations Research from the French Ecole Polytechnique, in 2013. After a work experience as a Financial Engineer for Credit-Suisse, he joined the Computer Vision Laboratory at Ecole Polytechnique Fédérale de Lausanne.
Pierre is now pursuing his PhD. under the supervision of Prof. Pascal Fua and François Fleuret . His research focuses on Structured Learning and Variational Inference applied to Computer Vision and People Tracking.
Pierre's research lies at the intersection between modern Computer Vision and Variational Inference. His goal is to combine deep-learning techniques with scalable inference algorithm in order to develop new structured learning methods.
He is currently focusing on learning Mean-Field Inference algorithm for Multi-Camera Pedestrian Detection and occlusion reasoning.
Pierre and colleagues are consolidating a new dataset for multi-camera people detection, which is currently being annotated online.
P. B. Baqué; E. Remelli; F. Fleuret; P. Fua : Geodesic Convolutional Shape Optimization. 2018. International Conference on Machine Learning (ICML), Stockholm, Sweden, July, 2018.
M. Baquero Ruiz; O. Chellai; A. Fasoli; I. Furno; F. Manke et al. : Plasma blob studies using a fluorescent probe. 2017. 44th EPS Conference on Plasma Physics, Belfast, UK, June 26-30, 2017. p. P1.415.
O. Chellai; S. Alberti; I. Furno; T. Goodman; M. Baquero Ruiz et al. : Experimental study of high power mm-waves scattering by plasma turbulence in TCV plasmas. 2017. 22 Topical Conference on Radio-Frequency Power in Plasmas, Aix-en-Provence, France, 2017. DOI : 10.1051/epjconf/201715703008.
P. Baqué; F. Fleuret; P. Fua : Multi-Modal Mean-Fields via Cardinality-Based Clamping. 2017. Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition. p. 4303-4312. DOI : 10.1109/Cvpr.2017.458.
P. Baqué; F. Fleuret; P. Fua : Multi-Modal Mean-Fields via Cardinality-Based Clamping. 2017. CVPR 2017, Honolulu, Hawaii, USA, July 21-26, 2017. p. 4303-4312. DOI : 10.1109/Cvpr.2017.458.
M. Baquero Ruiz; F. Avino; O. Chellai; A. Fasoli; I. Furno et al. : 3D plasma dynamics studies in TORPEX using a dual Langmuir probe array. 2016. 43rd EPS Conference on Plasma Physics, Leuven, Belgium, July 4-8, 2016. p. P4.106.
M. Baquero-Ruiz; F. Avino; O. Chellai; A. Fasoli; I. Furno et al. : 3D plasma dynamics studies in TORPEX using a dual Langmuir probe array. 2016. 43rd EPS Conference on Plasma Physics, Leuven, Belgium, July 4-8, 2016. p. 113504.
P. B. Baqué; T. Bagautdinov; F. Fleuret; P. Fua : Principled Parallel Mean-Field Inference for Discrete Random Fields. 2016. Computer Vision and Pattern Recognition (CVPR), Las Vegas.
M. E. Khan; P. B. Baqué; F. Fleuret; P. Fua : Kullback-Leibler Proximal Variational Inference. 2015. Advances in Neural Information Processing Systems (NIPS), Montreal, Canada, December 9, 2015.
F. J. Perez Soler; S. Anza Hormigo; M. Mattes; C. M. Espana; F. D. Quesada Pereira et al. : Rigorous Investigation of RF Breakdown Effects in High Power Microstrip Passive Circuits. 2009. IEEE MTT-S International Microwave Symposium, Boston, June 7-12, 2009.