Aymen Mir (PhD Student)

“Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, US (Virtual), 2021.

@inproceedings{Guzov_CVPR21,
TITLE = {Human {POSEitioning} System ({HPS}): {3D} Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors},
AUTHOR = {Guzov, Vladimir and Mir, Aymen and Sattler,, Torsten and Pons-Moll, Gerard},
LANGUAGE = {eng},
ISBN = {978-1-6654-4509-2},
DOI = {10.1109/CVPR46437.2021.00430},
PUBLISHER = {IEEE},
YEAR = {2021},
MARGINALMARK = {$\bullet$},
BOOKTITLE = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021)},
PAGES = {4318--4329},
ADDRESS = {Nashville, TN, US (Virtual)},
}

%0 Conference Proceedings
%A Guzov, Vladimir
%A Mir, Aymen
%A Sattler,, Torsten
%A Pons-Moll, Gerard
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
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 Human POSEitioning System (HPS): 3D Human Pose Estimation and
Self-localization in Large Scenes from Body-Mounted Sensors : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0009-8AF2-A
%R 10.1109/CVPR46437.2021.00430
%D 2021
%B 34th IEEE Conference on Computer Vision and Pattern Recognition
%Z date of event: 2021-06-19 - 2021-06-25
%C Nashville, TN, US (Virtual)
%B IEEE/CVF Conference on Computer Vision and Pattern Recognition
%P 4318 - 4329
%I IEEE
%@ 978-1-6654-4509-2

“Neural Unsigned Distance Fields for Implicit Function Learning,” in Advances in Neural Information Processing Systems 33 (NeurIPS 2020), Virtual Event, 2020.

@inproceedings{Chibane_NeurIPs2020,
TITLE = {Neural Unsigned Distance Fields for Implicit Function Learning},
AUTHOR = {Chibane, Julian and Mir, Aymen and Pons-Moll, Gerard},
LANGUAGE = {eng},
ISBN = {9781713829546},
PUBLISHER = {Curran Associates, Inc.},
YEAR = {2020},
BOOKTITLE = {Advances in Neural Information Processing Systems 33 (NeurIPS 2020)},
EDITOR = {Larochelle, H. and Ranzato, M. and Hadsell, R. and Balcan, M. F. and Lin, H.},
PAGES = {21638--21652},
ADDRESS = {Virtual Event},
}

%0 Conference Proceedings
%A Chibane, Julian
%A Mir, Aymen
%A Pons-Moll, Gerard
%+ 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 Neural Unsigned Distance Fields for Implicit Function Learning : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0007-6FCB-9
%D 2020
%B 34th Conference on Neural Information Processing Systems
%Z date of event: 2020-12-06 - 2020-12-12
%C Virtual Event
%B Advances in Neural Information Processing Systems 33
%E Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M. F.; Lin, H.
%P 21638 - 21652
%I Curran Associates, Inc.
%@ 9781713829546
%U https://papers.nips.cc/paper/2020/file/f69e505b08403ad2298b9f262659929a-Paper.pdf

“Learning to Transfer Texture from Clothing Images to 3D Humans,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.

@inproceedings{mir20pix2surf,
TITLE = {Learning to Transfer Texture from Clothing Images to {3D} Humans},
AUTHOR = {Mir, Aymen and Alldieck, Thiemo and Pons-Moll, Gerard},
LANGUAGE = {eng},
ISBN = {978-1-7281-7168-5},
DOI = {10.1109/CVPR42600.2020.00705},
PUBLISHER = {IEEE},
YEAR = {2020},
BOOKTITLE = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020)},
PAGES = {7021--7032},
ADDRESS = {Seattle, WA, USA (Virtual)},
}

%0 Conference Proceedings
%A Mir, Aymen
%A Alldieck, Thiemo
%A Pons-Moll, Gerard
%+ 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 Learning to Transfer Texture from Clothing Images to 3D Humans : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0007-7026-0
%R 10.1109/CVPR42600.2020.00705
%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 7021 - 7032
%I IEEE
%@ 978-1-7281-7168-5

“Learning to Transfer Texture from Clothing Images to 3D Humans,” Universität des Saarlandes, Saarbrücken, 2020.

@mastersthesis{Mir_Master2020,
TITLE = {Learning to Transfer Texture from Clothing Images to {3D} Humans},
AUTHOR = {Mir, Aymen},
LANGUAGE = {eng},
SCHOOL = {Universit{\"a}t des Saarlandes},
ADDRESS = {Saarbr{\"u}cken},
YEAR = {2020},
DATE = {2020},
}

%0 Thesis
%A Mir, Aymen
%Y Pons-Moll, Gerard
%A referee: 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
%T Learning to Transfer Texture from Clothing Images to 3D Humans
 : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0005-DB60-8
%I Universität des Saarlandes
%C Saarbrücken
%D 2020
%P 80 p.
%V master
%9 master