Current Year
PhD
[1]
M. Böhle, “Towards Designing Inherently Interpretable Deep Neural Networks for Image Classification,” Universität des Saarlandes, Saarbrücken, 2024.
Export
BibTeX
@phdthesis{BoehlePhD24,
TITLE = {Towards Designing Inherently Interpretable Deep Neural Networks for Image Classification},
AUTHOR = {B{\"o}hle, Moritz},
LANGUAGE = {eng},
URL = {urn:nbn:de:bsz:291--ds-421904},
DOI = {10.22028/D291-42190},
SCHOOL = {Universit{\"a}t des Saarlandes},
ADDRESS = {Saarbr{\"u}cken},
YEAR = {2024},
DATE = {2024},
}
Endnote
%0 Thesis
%A Böhle, Moritz
%Y Schiele, Bernt
%Y Fritz, Mario
%A referee: Akata, Zeynep
%A referee: Brendel, Wieland
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
International Max Planck Research School, MPI for Informatics, Max Planck Society
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
External Organizations
%T Towards Designing Inherently Interpretable Deep Neural Networks for Image Classification :
%G eng
%U http://hdl.handle.net/21.11116/0000-000F-76AA-D
%U urn:nbn:de:bsz:291--ds-421904
%R 10.22028/D291-42190
%F OTHER: hdl:20.500.11880/37907
%I Universität des Saarlandes
%C Saarbrücken
%D 2024
%P XIII, 265 p.
%V phd
%9 phd
%U https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/37907
[2]
S. Shimada, “Physically Plausible 3D Human Motion Capture and Synthesis with Interactions,” Universität des Saarlandes, Saarbrücken, 2024.
Export
BibTeX
@phdthesis{ThesisPhDShimada2024,
TITLE = {Physically Plausible {3D} Human Motion Capture and Synthesis with Interactions},
AUTHOR = {Shimada, Soshi},
LANGUAGE = {eng},
URL = {urn:nbn:de:bsz:291--ds-418503},
DOI = {10.22028/D291-41850},
SCHOOL = {Universit{\"a}t des Saarlandes},
ADDRESS = {Saarbr{\"u}cken},
YEAR = {2024},
DATE = {2024},
}
Endnote
%0 Thesis
%A Shimada, Soshi
%Y Theobalt, Christian
%A referee: Pérez, Patrick
%A referee: Komura, Taku
%+ Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society
International Max Planck Research School, MPI for Informatics, Max Planck Society
Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
%T Physically Plausible 3D Human Motion Capture and Synthesis with Interactions :
%G eng
%U http://hdl.handle.net/21.11116/0000-000F-5555-2
%R 10.22028/D291-41850
%U urn:nbn:de:bsz:291--ds-418503
%F OTHER: hdl:20.500.11880/37475
%I Universität des Saarlandes
%C Saarbrücken
%D 2024
%V phd
%9 phd
%U https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/37475
[3]
E. Tretschk, “Representing and Reconstructing General Non-rigid Objects with Neural Models,” Universität des Saarlandes, Saarbrücken, 2024.
Export
BibTeX
@phdthesis{Tretschk_PhD2024,
TITLE = {Representing and Reconstructing General Non-rigid Objects with Neural Models},
AUTHOR = {Tretschk, Edith},
LANGUAGE = {eng},
URL = {urn:nbn:de:bsz:291--ds-416509},
DOI = {doi:10.22028/D291-41650},
SCHOOL = {Universit{\"a}t des Saarlandes},
ADDRESS = {Saarbr{\"u}cken},
YEAR = {2024},
}
Endnote
%0 Thesis
%A Tretschk, Edith
%Y Theobalt, Christian
%A referee: Seidel, Hans-Peter
%A referee: Agapito, Lourdes
%+ Computer Graphics, MPI for Informatics, Max Planck Society
International Max Planck Research School, MPI for Informatics, Max Planck Society
Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
Computer Graphics, MPI for Informatics, Max Planck Society
%T Representing and Reconstructing General Non-rigid Objects with Neural Models :
%G eng
%U http://hdl.handle.net/21.11116/0000-000F-2406-2
%R doi:10.22028/D291-41650
%U urn:nbn:de:bsz:291--ds-416509
%F OTHER: hdl:20.500.11880/37392
%I Universität des Saarlandes
%C Saarbrücken
%D 2024
%V phd
%9 phd
%U https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/37392