D2
Computer Vision and Machine Learning

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

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.
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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
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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
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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