| 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 | 197 | 2017 |
| Discriminative color descriptors R Khan, J Van de Weijer, F Shahbaz Khan, D Muselet, C Ducottet, ... Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 150 | 2013 |
| 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 | 142 | 2015 |
| Discriminative feature fusion for image classification B Fernando, E Fromont, D Muselet, M Sebban 2012 IEEE Conference on Computer Vision and Pattern Recognition, 3434-3441, 2012 | 113 | 2012 |
| 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 | 64 | 2017 |
| Spatial orientations of visual word pairs to improve Bag-of-Visual-Words model. R Khan, C Barat, D Muselet, C Ducottet BMVC, 1-11, 2012 | 60 | 2012 |
| Supervised learning of Gaussian mixture models for visual vocabulary generation B Fernando, E Fromont, D Muselet, M Sebban Pattern Recognition 45 (2), 897-907, 2012 | 59 | 2012 |
| Spatial histograms of soft pairwise similar patches to improve the bag-of-visual-words model R Khan, C Barat, D Muselet, C Ducottet Computer Vision and Image Understanding 132, 102-112, 2015 | 46 | 2015 |
| Recent trends in color image watermarking A Trémeau, D Muselet J Imaging Sci Technol 53 (1), 10, 2009 | 40 | 2009 |
| Lighting estimation in indoor environments from low-quality images N Neverova, D Muselet, A Trémeau Computer Vision–ECCV 2012. Workshops and Demonstrations: Florence, Italy …, 2012 | 28 | 2012 |
| Combining color and spatial information for object recognition across illumination changes D Muselet, L Macaire Pattern Recognition Letters 28 (10), 1176-1185, 2007 | 28 | 2007 |
| Mixed pooling neural networks for color constancy D Fourure, R Emonet, E Fromont, D Muselet, A Trémeau, C Wolf 2016 IEEE International Conference on Image Processing (ICIP), 3997-4001, 2016 | 27 | 2016 |
| Color features for dating historical color images B Fernando, D Muselet, R Khan, T Tuytelaars 2014 IEEE International Conference on Image Processing (ICIP), 2589-2593, 2014 | 19 | 2014 |
| Learning to rank based on subsequences B Fernando, E Gavves, D Muselet, T Tuytelaars Proceedings of the IEEE International Conference on Computer Vision, 2785-2793, 2015 | 18 | 2015 |
| Deep spectral reflectance and illuminant estimation from self-interreflections R Deeb, J Van de Weijer, D Muselet, M Hebert, A Tremeau JOSA A 36 (1), 105-114, 2019 | 17 | 2019 |
| Modeling perceptual color differences by local metric learning M Perrot, A Habrard, D Muselet, M Sebban Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 17 | 2014 |
| Affine transforms between image space and color space for invariant local descriptors X Song, D Muselet, A Trémeau Pattern recognition 46 (8), 2376-2389, 2013 | 17 | 2013 |
| Rank correlation as illumination invariant descriptor for color object recognition D Muselet, A Trémeau 2008 15th IEEE International Conference on Image Processing, 157-160, 2008 | 16 | 2008 |
| 21/2 D Scene Reconstruction of Indoor Scenes from Single RGB-D Images N Neverova, D Muselet, A Trémeau Computational Color Imaging: 4th International Workshop, CCIW 2013, Chiba …, 2013 | 14 | 2013 |
| Detecting text in natural scenes based on a reduction of photometric effects: problem of text detection A Trémeau, B Fernando, S Karaoglu, D Muselet Computational Color Imaging: Third International Workshop, CCIW 2011, Milan …, 2011 | 13* | 2011 |
