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Rachel Blin
Rachel Blin
PhD Student at the LITIS lab (INSA Rouen Normandy)
Adresă de e-mail confirmată pe insa-rouen.fr - Pagina de pornire
Titlu
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Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning
R Blin, S Ainouz, S Canu, F Meriaudeau
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 27-32, 2019
572019
A new multimodal RGB and polarimetric image dataset for road scenes analysis
R Blin, S Ainouz, S Canu, F Meriaudeau
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
302020
Adapted learning for polarization-based car detection
R Blin, S Ainouz, S Canu, F Meriaudeau
Fourteenth International Conference on Quality Control by Artificial Vision …, 2019
102019
The PolarLITIS dataset: Road scenes under fog
R Blin, S Ainouz, S Canu, F Meriaudeau
IEEE transactions on intelligent transportation systems 23 (8), 10753-10762, 2021
92021
Multimodal polarimetric and color fusion for road scene analysis in adverse weather conditions
R Blin, S Ainouz, S Canu, F Meriaudeau
2021 IEEE International Conference on Image Processing (ICIP), 3338-3342, 2021
72021
Physically-admissible polarimetric data augmentation for road-scene analysis
C Ruffino, R Blin, S Ainouz, G Gasso, R Hérault, F Meriaudeau, S Canu
Computer Vision and Image Understanding 222, 103495, 2022
22022
How polarimetry may contribute to deep road scene analysis in adverse weather conditions
R Blin
Normandie Université, 2021
12021
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