| Hyper-parameter optimization tools comparison for multiple object tracking applications F Madrigal, C Maurice, F Lerasle Machine Vision and Applications 30 (2), 269-289, 2019 | 33 | 2019 |
| Robust head pose estimation based on key frames for human-machine interaction F Madrigal, F Lerasle EURASIP Journal on Image and Video Processing 2020 (1), 13, 2020 | 22 | 2020 |
| Evaluation of multiple motion models for multiple pedestrian visual tracking F Madrigal, JB Hayet 2013 10th IEEE International Conference on Advanced Video and Signal Based …, 2013 | 14 | 2013 |
| Intention-aware multiple pedestrian tracking F Madrigal, JB Hayet, F Lerasle 2014 22nd International Conference on Pattern Recognition, 4122-4127, 2014 | 13 | 2014 |
| Learning and regularizing motion models for enhancing particle filter-based target tracking F Madrigal, M Rivera, JB Hayet Advances in Image and Video Technology: 5th Pacific Rim Symposium, PSIVT …, 2012 | 13 | 2012 |
| Hyper-optimization tools comparison for parameter tuning applications C Maurice, F Madrigal, F Lerasle 2017 14th IEEE International Conference on Advanced Video and Signal Based …, 2017 | 11 | 2017 |
| Multiple view, multiple target tracking with principal axis-based data association F Madrigal, JB Hayet 2011 8th IEEE International Conference on Advanced Video and Signal Based …, 2011 | 11 | 2011 |
| A new bayesian modeling for 3d human-object action recognition C Maurice, F Madrigal, A Monin, F Lerasle 2019 16th IEEE International Conference on Advanced Video and Signal Based …, 2019 | 6 | 2019 |
| Goal-oriented visual tracking of pedestrians with motion priors in semi-crowded scenes F Madrigal, JB Hayet 2015 IEEE International Conference on Robotics and Automation (ICRA), 720-725, 2015 | 5 | 2015 |
| Motion priors for multiple target visual tracking F Madrigal, JB Hayet, M Rivera Machine Vision and Applications 26, 141-160, 2015 | 5 | 2015 |
| Improving multiple pedestrians tracking with semantic information F Madrigal, JB Hayet, F Lerasle Signal, Image and Video Processing 8, 113-123, 2014 | 5 | 2014 |
| Audio-Video detection of the active speaker in meetings F Madrigal, F Lerasle, L Pibre, I Ferrané 2020 25th International Conference on Pattern Recognition (ICPR), 2536-2543, 2021 | 4 | 2021 |
| Color and motion-based particle filter target tracking in a network of overlapping cameras with multi-threading and gpgpu F Madrigal, H Jean-Bernard Acta Universitaria 23 (1), 9-16, 2013 | 4 | 2013 |
| Audio-video fusion strategies for active speaker detection in meetings L Pibre, F Madrigal, C Equoy, F Lerasle, T Pellegrini, J Pinquier, I Ferrané Multimedia Tools and Applications 82 (9), 13667-13688, 2023 | 3 | 2023 |
| 3d head pose estimation enhanced through surf-based key-frames F Madrigal, F Lerasle, A Monin 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 75-83, 2018 | 3 | 2018 |
| Motion priors based on goals hierarchies in pedestrian tracking applications F Madrigal, JB Hayet Machine Vision and Applications 28 (3), 341-359, 2017 | 3 | 2017 |
| Late fusion of bayesian and convolutional models for action recognition C Maurice, F Madrigal, F Lerasle 2020 25th International Conference on Pattern Recognition (ICPR), 3296-3303, 2021 | 2 | 2021 |
| Fast tracking-by-detection of bus passengers with Siamese CNNs C Labit-Bonis, J Thomas, F Lerasle, F Madrigal 2019 16th IEEE International Conference on Advanced Video and Signal Based …, 2019 | 2 | 2019 |
| LinTO: Assistant vocal open-source respectueux des donn\'ees personnelles pour les r\'eunions d'entreprise JP Lorré, I Ferrané, F Madrigal, M Vazirgiannis, C Bourguignat arXiv preprint arXiv:1907.09334, 2019 | 1 | 2019 |
| Fusion de modèles bayésiens et de convolution pour la reconnaissance d'actions C Maurice, JFM Diaz, F Lerasle Reconnaissance des Formes, Image, Apprentissage et Perception RFIAP, 2020 | | 2020 |
Jean-Bernard HayetCentro de Investigación en Matemáticas (CIMAT)在 cimat.mx 的电子邮件经过验证
