Anna Kukleva (PhD Student)
MSc Anna Kukleva
- Address
- Max-Planck-Institut für Informatik
Saarland Informatics Campus
Campus E1 4
66123 Saarbrücken - Location
- E1 4 - 615
- Phone
- +49 681 9325 2144
- Fax
- +49 681 9325 2099
- Get email via email
Personal Information
Publications
VidalMata, R. G., Scheirer, W. J., Kukleva, A., Cox, D., & Kuehne, H. (2021). Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences. In IEEE Winter Conference on Applications of Computer Vision (WACV 2021). Virtual: Computer Vision Foundation.
Export
BibTeX
@inproceedings{VidalMata_WACV21,
TITLE = {Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences},
AUTHOR = {VidalMata, Rosaura G. and Scheirer, Walter J. and Kukleva, Anna and Cox, David and Kuehne, Hilde},
LANGUAGE = {eng},
PUBLISHER = {Computer Vision Foundation},
YEAR = {2021},
MARGINALMARK = {$\bullet$},
BOOKTITLE = {IEEE Winter Conference on Applications of Computer Vision (WACV 2021)},
PAGES = {1238--1247},
ADDRESS = {Virtual},
}
Endnote
%0 Conference Proceedings
%A VidalMata, Rosaura G.
%A Scheirer, Walter J.
%A Kukleva, Anna
%A Cox, David
%A Kuehne, Hilde
%+ External Organizations
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
%T Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences :
%G eng
%U http://hdl.handle.net/21.11116/0000-0008-4593-4
%D 2021
%B IEEE Winter Conference on Applications of Computer Vision
%Z date of event: 2021-01-05 - 2021-01-09
%C Virtual
%B IEEE Winter Conference on Applications of Computer Vision
%P 1238 - 1247
%I Computer Vision Foundation
Kukleva, A., Kuehne, H., & Schiele, B. (2021). Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting. In IEEE/CVF International Conference on Computer Vision (ICCV 2021). Virtual Event: IEEE. doi:10.1109/ICCV48922.2021.00889
Export
BibTeX
@inproceedings{Kukleva_ICCV21,
TITLE = {Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting},
AUTHOR = {Kukleva, Anna and Kuehne, Hilde and Schiele, Bernt},
LANGUAGE = {eng},
ISBN = {978-1-6654-2812-5},
DOI = {10.1109/ICCV48922.2021.00889},
PUBLISHER = {IEEE},
YEAR = {2021},
MARGINALMARK = {$\bullet$},
BOOKTITLE = {IEEE/CVF International Conference on Computer Vision (ICCV 2021)},
PAGES = {9000--9009},
ADDRESS = {Virtual Event},
}
Endnote
%0 Conference Proceedings
%A Kukleva, Anna
%A Kuehne, Hilde
%A Schiele, Bernt
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting :
%G eng
%U http://hdl.handle.net/21.11116/0000-0009-810E-6
%R 10.1109/ICCV48922.2021.00889
%D 2021
%B International Conference on Computer Vision
%Z date of event: 2021-10-11 - 2021-10-17
%C Virtual Event
%B IEEE/CVF International Conference on Computer Vision
%P 9000 - 9009
%I IEEE
%@ 978-1-6654-2812-5
Kukleva, A., Tapaswi, M., & Laptev, I. (2020). Learning Interactions and Relationships between Movie Characters. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020). Seattle, WA, USA (Virtual): IEEE. doi:10.1109/CVPR42600.2020.00987
Export
BibTeX
@inproceedings{Kukleva_CVPR2020,
TITLE = {Learning Interactions and Relationships between Movie Characters},
AUTHOR = {Kukleva, Anna and Tapaswi, Makarand and Laptev, Ivan},
LANGUAGE = {eng},
ISBN = {978-1-7281-7168-5},
DOI = {10.1109/CVPR42600.2020.00987},
PUBLISHER = {IEEE},
YEAR = {2020},
BOOKTITLE = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020)},
PAGES = {9846--9855},
ADDRESS = {Seattle, WA, USA (Virtual)},
}
Endnote
%0 Conference Proceedings
%A Kukleva, Anna
%A Tapaswi, Makarand
%A Laptev, Ivan
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
%T Learning Interactions and Relationships between Movie Characters :
%G eng
%U http://hdl.handle.net/21.11116/0000-0008-458B-E
%R 10.1109/CVPR42600.2020.00987
%D 2020
%B 33rd IEEE Conference on Computer Vision and Pattern Recognition
%Z date of event: 2020-06-14 - 2020-06-19
%C Seattle, WA, USA (Virtual)
%B IEEE/CVF Conference on Computer Vision and Pattern Recognition
%P 9846 - 9855
%I IEEE
%@ 978-1-7281-7168-5