Search

2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 All (since 2000) Theses

Journal articles

[1] Chappuis, C., Lobry, S., Kellenberger, B., Saux, B.L. & Tuia, D (2021)
How to find a good image-text embedding for remote sensing visual question answering?,
CoRR, abs/2109.11848
[BibTeX BibTeX] [URL pdf]
BibTeX :
@article{DBLP_journals_corr_abs-2109-11848,
   title={How to find a good image-text embedding for remote sensing visual question answering?},
   year={2021},
   journal={CoRR},
   volume={abs/2109.11848},
   author={Chappuis, C. and Lobry, S. and Kellenberger, B. and Saux, B.L. and Tuia, D.}
}
	
[2] Chelali, M., Kurtz, C., Puissant, A. & Vincent, N (2021)
Deep-STaR: Classification of image time series based on spatio-temporal representations,
Comput. Vis. Image Underst., 208-209:103221
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{DBLP_journals_cviu_ChelaliKPV21,
   title={Deep-STaR: Classification of image time series based on spatio-temporal representations},
   year={2021},
   journal={Comput. Vis. Image Underst.},
   volume={208-209},
   pages={103221},
   doi={10.1016/j.cviu.2021.103221},
   author={Chelali, M. and Kurtz, C. and Puissant, A. and Vincent, N.}
}
	
[3] Randrianasoa, J.F., Cettour-Janet, P., Kurtz, C., Desjardin, E., Gançarski, P., Bednarek, N., Rousseau, F. & Passat, N (2021)
Supervised quality evaluation of binary partition trees for object segmentation,
Pattern Recognit., 111:107667
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@article{DBLP_journals_pr_RandrianasoaCKD21,
   title={Supervised quality evaluation of binary partition trees for object segmentation},
   year={2021},
   journal={Pattern Recognit.},
   volume={111},
   pages={107667},
   doi={10.1016/j.patcog.2020.107667},
   author={Randrianasoa, J.F. and Cettour-Janet, P. and Kurtz, C. and Desjardin, E. and Gançarski, P. and Bednarek, N. and Rousseau, F. and Passat, N.}
}
	

Conference articles

[1] Deléarde, R., Kurtz, C., Dejean, P. & Wendling, L (2021)
Segment My Object: A Pipeline to Extract Segmented Objects in Images based on Labels or Bounding Boxes,
In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, Volume 5: VISAPP, Online Streaming, February 8-10, 2021, pages 618-625, SCITEPRESS.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@inproceedings{DBLP_conf_visapp_DeleardeKDW21,
   title={Segment My Object: A Pipeline to Extract Segmented Objects in Images based on Labels or Bounding Boxes},
   year={2021},
   booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, Volume 5: VISAPP, Online Streaming, February 8-10, 2021},
   editor={Farinella, G.M. and Radeva, P. and Braz, J. and Bouatouch, K.},
   pages={618-625},
   publisher={SCITEPRESS},
   doi={10.5220/0010324006180625},
   author={Deléarde, R. and Kurtz, C. and Dejean, P. and Wendling, L.}
}
	
[2] Lobry, S., Demir, B. & Tuia, D (2021)
RSVQA Meets Bigearthnet: A New, Large-Scale, Visual Question Answering Dataset for Remote Sensing,
In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, July 11-16, 2021, pages 1218-1221, IEEE.
[BibTeX BibTeX] [DOI doi] [URL pdf]
BibTeX :
@inproceedings{DBLP_conf_igarss_LobryDT21,
   title={RSVQA Meets Bigearthnet: A New, Large-Scale, Visual Question Answering Dataset for Remote Sensing},
   year={2021},
   booktitle={IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, July 11-16, 2021},
   pages={1218-1221},
   publisher={IEEE},
   doi={10.1109/IGARSS47720.2021.9553307},
   author={Lobry, S. and Demir, B. and Tuia, D.}
}