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
Standort
E1 4 - 615
Telefon
+49 681 9325 2144
Fax
+49 681 9325 2099

Personal Information

Publications

Fan, Y., Kukleva, A., Dai, D., & Schiele, B. (2022). Revisiting Consistency Regularization for Semi-supervised Learning. International Journal of Computer Vision. doi:10.1007/s11263-022-01723-4
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BibTeX
@article{Fan22, TITLE = {Revisiting Consistency Regularization for Semi-supervised Learning}, AUTHOR = {Fan, Yue and Kukleva, Anna and Dai, Dengxin and Schiele, Bernt}, LANGUAGE = {eng}, ISSN = {0920-5691}, DOI = {10.1007/s11263-022-01723-4}, PUBLISHER = {Springer}, ADDRESS = {New York, NY}, YEAR = {2022}, MARGINALMARK = {$\bullet$}, JOURNAL = {International Journal of Computer Vision}, }
Endnote
%0 Journal Article %A Fan, Yue %A Kukleva, Anna %A Dai, Dengxin %A Schiele, Bernt %+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society %T Revisiting Consistency Regularization for Semi-supervised Learning : %G eng %U http://hdl.handle.net/21.11116/0000-000C-73A9-4 %R 10.1007/s11263-022-01723-4 %7 2022 %D 2022 %J International Journal of Computer Vision %O Int. J. Comput. Vis. %I Springer %C New York, NY %@ false
Lin, W., Kukleva, A., Sun, K., Possegger, H., Kuehne, H., & Bischof, H. (2022). CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video. In Computer Vision -- ECCV 2022. Tel Aviv, Israel: Springer. doi:10.1007/978-3-031-20062-5_40
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BibTeX
@inproceedings{Lin_ECCV2022, TITLE = {{CycDA}: {U}nsupervised Cycle Domain Adaptation to Learn from Image to Video}, AUTHOR = {Lin, Wei and Kukleva, Anna and Sun, Kunyang and Possegger, Horst and Kuehne, Hilde and Bischof, Horst}, LANGUAGE = {eng}, ISBN = {978-3-031-20061-8}, DOI = {10.1007/978-3-031-20062-5_40}, PUBLISHER = {Springer}, YEAR = {2022}, MARGINALMARK = {$\bullet$}, DATE = {2022}, BOOKTITLE = {Computer Vision -- ECCV 2022}, EDITOR = {Avidan, Shai and Brostow, Gabriel and Ciss{\'e}, Moustapha and Farinella, Giovanni and Hassner, Tal}, PAGES = {698--715}, SERIES = {Lecture Notes in Computer Science}, VOLUME = {13663}, ADDRESS = {Tel Aviv, Israel}, }
Endnote
%0 Conference Proceedings %A Lin, Wei %A Kukleva, Anna %A Sun, Kunyang %A Possegger, Horst %A Kuehne, Hilde %A Bischof, Horst %+ External Organizations Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society External Organizations External Organizations External Organizations External Organizations %T CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video : %G eng %U http://hdl.handle.net/21.11116/0000-000C-7CDA-4 %R 10.1007/978-3-031-20062-5_40 %D 2022 %B 17th European Conference on Computer Vision %Z date of event: 2022-10-23 - 2022-10-27 %C Tel Aviv, Israel %B Computer Vision -- ECCV 2022 %E Avidan, Shai; Brostow, Gabriel; Cissé, Moustapha; Farinella, Giovanni; Hassner, Tal %P 698 - 715 %I Springer %@ 978-3-031-20061-8 %B Lecture Notes in Computer Science %N 13663 %U https://rdcu.be/c4q1A
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