Stéphane Herbin
Cited by
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Improving semantic embedding consistency by metric learning for zero-shot classiffication
M Bucher, S Herbin, F Jurie
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
Semantic hierarchies for image annotation: A survey
AM Tousch, S Herbin, JY Audibert
Pattern Recognition 45 (1), 333-345, 2012
Generating visual representations for zero-shot classification
M Bucher, S Herbin, F Jurie
Proceedings of the IEEE International Conference on Computer Vision …, 2017
Processing of extremely high-resolution Lidar and RGB data: outcome of the 2015 IEEE GRSS data fusion contest–part a: 2-D contest
M Campos-Taberner, A Romero-Soriano, C Gatta, G Camps-Valls, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks
A Lagrange, B Le Saux, A Beaupere, A Boulch, A Chan-Hon-Tong, ...
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015
Hard negative mining for metric learning based zero-shot classification
M Bucher, S Herbin, F Jurie
Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016
Robust abandoned object detection integrating wide area visual surveillance and social context
J Ferryman, D Hogg, J Sochman, A Behera, JA Rodriguez-Serrano, ...
Pattern Recognition Letters 34 (7), 789-798, 2013
Using hidden scale for salient object detection
B Chalmond, B Francesconi, S Herbin
IEEE Transactions on Image Processing 15 (9), 2644-2656, 2006
On-line fusion of trackers for single-object tracking
I Leang, S Herbin, B Girard, J Droulez
Pattern Recognition 74, 459-473, 2018
Semantic bottleneck for computer vision tasks
M Bucher, S Herbin, F Jurie
Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019
Recognizing 3D objects by generating random actions
S Herbin
Proceedings CVPR IEEE Computer Society Conference on Computer Vision and …, 1996
Semi-supervised class incremental learning
A Lechat, S Herbin, F Jurie
2020 25th International Conference on Pattern Recognition (ICPR), 10383-10389, 2021
Flexible tracklet association for complex scenarios using a markov logic network
V Leung, S Herbin
2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011
Context-driven moving object detection in aerial scenes with user input
C Guilmart, S Herbin, P Perez
Image Processing (ICIP), 2011 18th IEEE International Conference on, 1781-1784, 2011
Robin challenge evaluation principles and metrics
E D’Angelo, S Herbin, M Ratiéville
see http://robin. inrialpes. fr, 2006
Exemplar based metric learning for robust visual localization
C Le Barz, N Thome, M Cord, S Herbin, M Sanfourche
2015 IEEE International Conference on Image Processing (ICIP), 4342-4346, 2015
Semantic lattices for multiple annotation of images
AM Tousch, S Herbin, JY Audibert
Proceedings of the 1st ACM international conference on Multimedia …, 2008
Absolute geo-localization thanks to Hidden Markov Model and exemplar-based metric learning
C Le Barz, N Thome, M Cord, S Herbin, M Sanfourche
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
Combining geometric and probabilistic structure for active recognition of 3D objects
S Herbin
Computer Vision—ECCV’98: 5th European Conference on Computer Vision …, 1998
Zero-shot classification by generating artificial visual features
M Bucher, S Herbin, F Jurie
RFIAP, 2018
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