Garvita Tiwari (PhD Student)

“CloSe: A 3D Clothing Segmentation Dataset and Model,” in 3DV 2024, 11th International Conference on 3D Vision, Davos, Switzerland, 2024.

@inproceedings{Antic3DV24,
TITLE = {{CloSe}: {A 3D} Clothing Segmentation Dataset and Model},
AUTHOR = {Anti{\'c}, Dimitrije and Tiwari, Garvita and Ozcomlekci, Batuhan and Marin, Riccardo and Pons-Moll, Gerard},
LANGUAGE = {eng},
ISBN = {979-8-3503-6245-9},
DOI = {10.1109/3DV62453.2024.00020},
PUBLISHER = {IEEE},
YEAR = {2024},
MARGINALMARK = {$\bullet$},
DATE = {2024},
BOOKTITLE = {3DV 2024, 11th International Conference on 3D Vision},
PAGES = {591--601},
ADDRESS = {Davos, Switzerland},
}

%0 Conference Proceedings
%A Antić, Dimitrije
%A Tiwari, Garvita
%A Ozcomlekci, Batuhan
%A Marin, Riccardo
%A Pons-Moll, Gerard
%+ External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T CloSe: A 3D Clothing Segmentation Dataset and Model : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000F-BAA4-6
%R 10.1109/3DV62453.2024.00020
%D 2024
%B 11th International Conference on 3D Vision
%Z date of event: 2024-03-18 - 2024-03-21
%C Davos, Switzerland
%B 3DV 2024
%P 591 - 601
%I IEEE
%@ 979-8-3503-6245-9

“NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, USA, 2024.

@inproceedings{he24nrdf,
TITLE = {{NRDF}: {N}eural {R}iemannian Distance Fields for Learning Articulated Pose Priors},
AUTHOR = {He, Yannan and Tiwari, Garvita and Birdal, Tolga and Lenssen, Jan Eric and Pons-Moll, Gerard},
LANGUAGE = {eng},
DOI = {10.1109/CVPR52733.2024.00164},
PUBLISHER = {IEEE},
YEAR = {2024},
MARGINALMARK = {$\bullet$},
DATE = {2024},
BOOKTITLE = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024)},
PAGES = {1661--1671},
ADDRESS = {Seattle, WA, USA},
}

%0 Conference Proceedings
%A He, Yannan
%A Tiwari, Garvita
%A Birdal, Tolga
%A Lenssen, Jan Eric
%A Pons-Moll, Gerard
%+ External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000E-B120-5
%R 10.1109/CVPR52733.2024.00164
%D 2024
%B 37th IEEE/CVF Conference on Computer Vision and Pattern Recognition
%Z date of event: 2024-06-17 - 2024-06-21
%C Seattle, WA, USA
%B IEEE/CVF Conference on Computer Vision and Pattern Recognition
%P 1661 - 1671
%I IEEE

“Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.

@inproceedings{Tiwari_ECCV22,
TITLE = {Pose-{NDF}: {M}odeling Human Pose Manifolds with Neural Distance Fields},
AUTHOR = {Tiwari, Garvita and Antic, Dimitrije and Lenssen, Jan Eric and Sarafianos, Nikolaos and Tung, Tony and Pons-Moll, Gerard},
LANGUAGE = {eng},
ISBN = {10.1007/978-3-031-20065-6{\textunderscore}33},
DOI = {10.1007/978-3-031-20065-6_33},
PUBLISHER = {Springer},
YEAR = {2022},
DATE = {2022},
BOOKTITLE = {Computer Vision -- ECCV 2022},
EDITOR = {Avidan, Shai and Brostow, Gabriel and Ciss{\'e}, Moustapha and Farinella, Giovanni and Hassner, Tal},
PAGES = {572--589},
SERIES = {Lecture Notes in Computer Science},
VOLUME = {13665},
ADDRESS = {Tel Aviv, Israel},
}

%0 Conference Proceedings
%A Tiwari, Garvita
%A Antic, Dimitrije
%A Lenssen, Jan Eric
%A Sarafianos, Nikolaos
%A Tung, Tony
%A Pons-Moll, Gerard
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000A-B582-6
%R 10.1007/978-3-031-20065-6_33
%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 572 - 589
%I Springer
%@ 10.1007/978-3-031-20065-6_33
%B Lecture Notes in Computer Science
%N 13665
%U https://rdcu.be/c26RY

“Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.

@inproceedings{Tiwari_ICCV21,
TITLE = {Neural-{GIF}: {N}eural Generalized Implicit Functions for Animating People in Clothing},
AUTHOR = {Tiwari, Garvita and Sarafianos, Nikolaos and Tung, Tony and Pons-Moll, Gerard},
LANGUAGE = {eng},
ISBN = {978-1-6654-2812-5},
DOI = {10.1109/ICCV48922.2021.01150},
PUBLISHER = {IEEE},
YEAR = {2021},
BOOKTITLE = {ICCV 2021, IEEE/CVF International Conference on Computer Vision},
PAGES = {11688--11698},
ADDRESS = {Virtual Event},
}

%0 Conference Proceedings
%A Tiwari, Garvita
%A Sarafianos, Nikolaos
%A Tung, Tony
%A Pons-Moll, Gerard
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Neural-GIF: Neural Generalized Implicit Functions for Animating People
  in Clothing : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0009-8C23-2
%R 10.1109/ICCV48922.2021.01150
%D 2021
%B IEEE/CVF International Conference on Computer Vision
%Z date of event: 2021-10-11 - 2021-10-17
%C Virtual Event
%B ICCV 2021
%P 11688 - 11698
%I IEEE
%@ 978-1-6654-2812-5

“SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.

@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},
ISBN = {978-3-030-58579-2},
DOI = {10.1007/978-3-030-58580-8_1},
PUBLISHER = {Springer},
YEAR = {2020},
DATE = {2020},
BOOKTITLE = {Computer Vision -- ECCV 2020},
EDITOR = {Vedaldi, Andrea and Bischof, Horst and Brox, Thomas and Frahm, Jan-Michael},
PAGES = {1--18},
SERIES = {Lecture Notes in Computer Science},
VOLUME = {12348},
ADDRESS = {Glasgow, UK},
}

%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
%R 10.1007/978-3-030-58580-8_1
%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, Andrea; Bischof, Horst; Brox, Thomas; Frahm, Jan-Michael
%P 1 - 18
%I Springer
%@ 978-3-030-58579-2
%B Lecture Notes in Computer Science
%N 12348

“Learning Size Sensitive Cloth Model,” Universität des Saarlandes, Saarbrücken, 2020.

@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},
}

%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