Garvita Tiwari (PhD Student)
Garvita Tiwari
- Address
- Max-Planck-Institut für Informatik
Saarland Informatics Campus
Campus E1 4
66123 Saarbrücken - Location
- E1 4 - 627
- Phone
- +49 681 9325 2027
- Fax
- +49 681 9325 2099
- Get email via email
Personal Information
Publications
Tiwari, G., Bhatnagar, B. L., Tung, T., & Pons-Moll, G. (n.d.). SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing. In Computer Vision -- ECCV 2020. Glasgow, UK: Springer.
(Accepted/in press) Export
BibTeX
@inproceedings{tiwari20sizer,
TITLE = {SIZER: {A} Dataset and Model for Parsing {3D} Clothing and Learning Size Sensitive {3D} Clothing},
AUTHOR = {Tiwari, Garvita and Bhatnagar, Bharat Lal and Tung, Tony and Pons-Moll, Gerard},
LANGUAGE = {eng},
PUBLISHER = {Springer},
YEAR = {2020},
PUBLREMARK = {Accepted},
BOOKTITLE = {Computer Vision -- ECCV 2020},
EDITOR = {Vedaldi, A. and Bischof, H. and Brox, Th. and Frahm, J.-M.},
SERIES = {Lecture Notes in Computer Science},
ADDRESS = {Glasgow, UK},
}
Endnote
%0 Conference Proceedings
%A Tiwari, Garvita
%A Bhatnagar, Bharat Lal
%A Tung, Tony
%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 SIZER: A Dataset and Model for Parsing 3D Clothing and
Learning Size Sensitive 3D Clothing :
%G eng
%U http://hdl.handle.net/21.11116/0000-0006-E32D-8
%D 2020
%B 16th European Conference on Computer Vision
%Z date of event: 2020-08-23 - 2020-08-28
%C Glasgow, UK
%B Computer Vision -- ECCV 2020
%E Vedaldi, A.; Bischof, H.; Brox, Th.; Frahm, J.-M.
%I Springer
%B Lecture Notes in Computer Science
Tiwari, G. (2020). Learning Size Sensitive Cloth Model. Universität des Saarlandes, Saarbrücken.
Export
BibTeX
@mastersthesis{Tiwari_Master2020,
TITLE = {Learning Size Sensitive Cloth Model},
AUTHOR = {Tiwari, Garvita},
LANGUAGE = {eng},
SCHOOL = {Universit{\"a}t des Saarlandes},
ADDRESS = {Saarbr{\"u}cken},
YEAR = {2020},
DATE = {2020},
}
Endnote
%0 Thesis
%A Tiwari, Garvita
%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 Size Sensitive Cloth Model :
%G eng
%U http://hdl.handle.net/21.11116/0000-0005-DB6C-C
%I Universität des Saarlandes
%C Saarbrücken
%D 2020
%P 88 p.
%V master
%9 master
Bhatnagar, B. L., Tiwari, G., Theobalt, C., & Pons-Moll, G. (2019). Multi-Garment Net: Learning to Dress 3D People from Images. In International Conference on Computer Vision (ICCV 2019). Seoul, Korea: IEEE. doi:10.1109/ICCV.2019.00552
Export
BibTeX
@inproceedings{bhatnagar_ICCV2019,
TITLE = {Multi-Garment Net: {L}earning to Dress {3D} People from Images},
AUTHOR = {Bhatnagar, Bharat Lal and Tiwari, Garvita and Theobalt, Christian and Pons-Moll, Gerard},
LANGUAGE = {eng},
ISBN = {978-1-7281-4803-8},
DOI = {10.1109/ICCV.2019.00552},
PUBLISHER = {IEEE},
YEAR = {2019},
MARGINALMARK = {$\bullet$},
DATE = {2019},
BOOKTITLE = {International Conference on Computer Vision (ICCV 2019)},
PAGES = {5419--5429},
ADDRESS = {Seoul, Korea},
}
Endnote
%0 Conference Proceedings
%A Bhatnagar, Bharat Lal
%A Tiwari, Garvita
%A Theobalt, Christian
%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 Graphics, MPI for Informatics, Max Planck Society
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Multi-Garment Net: Learning to Dress 3D People from Images :
%G eng
%U http://hdl.handle.net/21.11116/0000-0004-89E8-C
%R 10.1109/ICCV.2019.00552
%D 2019
%B International Conference on Computer Vision
%Z date of event: 2019-10-27 - 2019-11-02
%C Seoul, Korea
%B International Conference on Computer Vision
%P 5419 - 5429
%I IEEE
%@ 978-1-7281-4803-8