| A solution for facial expression representation and recognition S Dubuisson, F Davoine, M Masson Signal Processing: Image Communication 17 (9), 657-673, 2002 | 169 | 2002 |
| Multimodal stress detection from multiple assessments J Aigrain, M Spodenkiewicz, S Dubuisson, M Detyniecki, D Cohen, ... IEEE Transactions on Affective Computing 9 (4), 491-506, 2016 | 107 | 2016 |
| Confidence-weighted local expression predictions for occlusion handling in expression recognition and action unit detection A Dapogny, K Bailly, S Dubuisson International Journal of Computer Vision 126, 255-271, 2018 | 88 | 2018 |
| Time-series averaging using constrained dynamic time warping with tolerance M Morel, C Achard, R Kulpa, S Dubuisson Pattern Recognition 74, 77-89, 2018 | 85 | 2018 |
| Pairwise conditional random forests for facial expression recognition A Dapogny, K Bailly, S Dubuisson Proceedings of the IEEE international conference on computer vision, 3783-3791, 2015 | 80 | 2015 |
| Person-specific behavioural features for automatic stress detection J Aigrain, S Dubuisson, M Detyniecki, M Chetouani 2015 11th IEEE international conference and workshops on automatic face and …, 2015 | 61 | 2015 |
| Fragments based tracking with adaptive cue integration E Erdem, S Dubuisson, I Bloch Computer vision and image understanding 116 (7), 827-841, 2012 | 56 | 2012 |
| Dynamic pose-robust facial expression recognition by multi-view pairwise conditional random forests K Bailly, S Dubuisson IEEE Transactions on Affective Computing 10 (2), 167-181, 2017 | 54 | 2017 |
| TRADI: Tracking deep neural network weight distributions G Franchi, A Bursuc, E Aldea, S Dubuisson, I Bloch Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 50 | 2020 |
| A survey of datasets for visual tracking S Dubuisson, C Gonzales Machine Vision and Applications 27, 23-52, 2016 | 48 | 2016 |
| The computation of the Bhattacharyya distance between histograms without histograms S Dubuisson 2010 2nd International Conference on Image Processing Theory, Tools and …, 2010 | 42 | 2010 |
| Personality classification and behaviour interpretation: An approach based on feature categories S Fang, C Achard, S Dubuisson Proceedings of the 18th acm international conference on multimodal …, 2016 | 38 | 2016 |
| Visual tracking by fusing multiple cues with context-sensitive reliabilities E Erdem, S Dubuisson, I Bloch Pattern Recognition 45 (5), 1948-1959, 2012 | 38 | 2012 |
| Textcatcher: a method to detect curved and challenging text in natural scenes J Fabrizio, M Robert-Seidowsky, S Dubuisson, S Calarasanu, R Boissel International Journal on Document Analysis and Recognition (IJDAR) 19 (2 …, 2016 | 37 | 2016 |
| Muad: Multiple uncertainties for autonomous driving, a benchmark for multiple uncertainty types and tasks G Franchi, X Yu, A Bursuc, A Tena, R Kazmierczak, S Dubuisson, E Aldea, ... arXiv preprint arXiv:2203.01437, 2022 | 34 | 2022 |
| Integration of fuzzy spatial information in tracking based on particle filtering N Widynski, S Dubuisson, I Bloch IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2011 | 33 | 2011 |
| Encoding the latent posterior of bayesian neural networks for uncertainty quantification G Franchi, A Bursuc, E Aldea, S Dubuisson, I Bloch IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (4), 2027-2040, 2023 | 32 | 2023 |
| JEMImE: a serious game to teach children with ASD how to adequately produce facial expressions A Dapogny, C Grossard, S Hun, S Serret, J Bourgeois, H Jean-Marie, ... 2018 13th IEEE International Conference on Automatic Face & Gesture …, 2018 | 32 | 2018 |
| Dynamic facial expression recognition by joint static and multi-time gap transition classification A Dapogny, K Bailly, S Dubuisson FG, 2015 | 32 | 2015 |
| One versus all for deep neural network for uncertainty (ovnni) quantification G Franchi, A Bursuc, E Aldea, S Dubuisson, I Bloch IEEE Access 10, 7300-7312, 2021 | 29 | 2021 |
Isabelle BlochLTCI, Télécom ParisZweryfikowany adres z telecom-paristech.fr
