Residual conv-deconv grid network for semantic segmentation D Fourure, R Emonet, E Fromont, D Muselet, A Tremeau, C Wolf arXiv preprint arXiv:1707.07958, 2017 | 258 | 2017 |
Comparison of target detection algorithms using adaptive background models D Hall, J Nascimento, P Ribeiro, E Andrade, P Moreno, S Pesnel, T List, ... Visual Surveillance and Performance Evaluation of Tracking and Surveillance …, 2005 | 162 | 2005 |
Landmarks-based kernelized subspace alignment for unsupervised domain adaptation R Aljundi, R Emonet, D Muselet, M Sebban Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 151 | 2015 |
Epidemic contact tracing via communication traces K Farrahi, R Emonet, M Cebrian PloS one 9 (5), e95133, 2014 | 124 | 2014 |
Extracting and locating temporal motifs in video scenes using a hierarchical non parametric bayesian model R Emonet, J Varadarajan, JM Odobez CVPR 2011, 3233-3240, 2011 | 90 | 2011 |
A sequential topic model for mining recurrent activities from long term video logs J Varadarajan, R Emonet, JM Odobez International journal of computer vision 103 (1), 100-126, 2013 | 75 | 2013 |
Multi-task, multi-domain learning: application to semantic segmentation and pose regression D Fourure, R Emonet, E Fromont, D Muselet, N Neverova, A Trémeau, ... Neurocomputing 251, 68-80, 2017 | 68 | 2017 |
Temporal analysis of motif mixtures using dirichlet processes R Emonet, J Varadarajan, JM Odobez IEEE transactions on pattern analysis and machine intelligence 36 (1), 140-156, 2013 | 54 | 2013 |
End-to-end learning for early classification of time series M Rußwurm, S Lefevre, N Courty, R Emonet, M Körner, R Tavenard | 45 | 2019 |
Multi-camera open space human activity discovery for anomaly detection R Emonet, J Varadarajan, JM Odobez 2011 8th IEEE International Conference on Advanced Video and Signal Based …, 2011 | 42 | 2011 |
Probabilistic Latent Sequential Motifs: Discovering temporal activity patterns in video scenes J Varadarajan, R Emonet, JM Odobez analysis 42, 177-196, 2010 | 42 | 2010 |
Micro-expression spotting using the Riesz pyramid CA Duque, O Alata, R Emonet, AC Legrand, H Konik 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 66-74, 2018 | 38 | 2018 |
End-to-end learned early classification of time series for in-season crop type mapping M Rußwurm, N Courty, R Emonet, S Lefèvre, D Tuia, R Tavenard ISPRS Journal of Photogrammetry and Remote Sensing 196, 445-456, 2023 | 35 | 2023 |
Bridging the past, present and future: Modeling scene activities from event relationships and global rules J Varadarajan, R Emonet, JM Odobez 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2096-2103, 2012 | 35 | 2012 |
Clustering flood events from water quality time series using Latent Dirichlet Allocation model AH Aubert, R Tavenard, R Emonet, A De Lavenne, S Malinowski, T Guyet, ... Water Resources Research 49 (12), 8187-8199, 2013 | 34 | 2013 |
A sparsity constraint for topic models-application to temporal activity mining J Varadarajan, R Emonet, JM Odobez NIPS-2010 workshop on practical applications of sparse modeling: Open issues …, 2010 | 29 | 2010 |
Mixed Pooling Neural Networks for Color Constancy D Fourure, R Emonet, E Fromont, D Muselet, A Trémeau, C Wolf IEEE International Conference on Image Processing, 2016 | 28 | 2016 |
Unsupervised interpretable pattern discovery in time series using autoencoders K Bascol, R Emonet, E Fromont, JM Odobez Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2016 | 28 | 2016 |
Contextually constrained deep networks for scene labeling T Kekeç, R Emonet, E Fromont, A Trémeau, C Wolf British Machine Vision Conference, 2014, to appear, 2014 | 24 | 2014 |
Metric learning in optimal transport for domain adaptation T Kerdoncuff, R Emonet, M Sebban International Joint Conference on Artificial Intelligence, 2021 | 23 | 2021 |