bibtex - People @EECSpeople.eecs.berkeley.edu › ~kanazawa › bibtex › zebra
people.eecs.berkeley.edu
@InProceedings{Zuffi19Safari, title={Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild"}, author = {Silvia Zuffi, ...
Silvia Zuffi | Perceiving Systems - Max Planck Institute ...
ps.is.mpg.de
My research interest is animal and human pose estimation from images and videos. My main contribution to the field is the exploration of realistic 2D and 3D models of human body shape and 3D models of animals for estimating pose and articulated motion in unconstrained images, videos, and from 3D data.
BARC: Learning to Regress 3D Dog Shape from Images by arXivarxiv.org › cs
arxiv.org
by N Rueegg · · Cited by 1 — BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Information. Authors:Nadine Rueegg, Silvia Zuffi, Konrad Schindler, Michael J. Black.
[ ] OSSO: Obtaining Skeletal Shape from Outside - arXivarxiv.org › cs
arxiv.org
by M Keller · — Authors:Marilyn Keller, Silvia Zuffi, Michael J. Black, Sergi Pujades · Download PDF. Abstract: We address the problem of inferring the ...
[ ] 3D Menagerie: Modeling the 3D shape and pose ...
arxiv.org
· Authors: Silvia Zuffi, Angjoo Kanazawa, David Jacobs, Michael J. Black (Submitted on 23 Nov , last revised 12 Apr (this version, v2)) Abstract: There has been significant work on learning realistic, articulated, 3D models of the human body. In contrast, there are few such models of animals, despite many applications.
[ ] Three-D Safari: Learning to Estimate Zebra Pose, Shape,...
arxiv.org
· Authors: Silvia Zuffi, Angjoo Kanazawa, Tanya Berger-Wolf, Michael J. Black (Submitted on 20 Aug , last revised 17 Sep (this version, v2)) Abstract: We present the first method to perform automatic 3D pose, shape and texture capture of animals from images acquired in-the-wild. In particular, we focus on the problem of capturing 3D ...
Modeling the 3D shape of animals | Perceiving Systems Blogperceiving-systems.blog › post
perceiving-systems.blog
Oct 12, · Silvia Zuffi. We describe our work for modeling animal shape. This is joint work with Angjoo Kanazawa and Michael J. Black.
All web results to the name "Silvia Zuffi"
Silvia Zuffi - imati-cnrimati.cnr.it › mypage
imati.cnr.it
Silvia Zuffi. IMATI | Research Scientist | Apr Phd in Computer Science, Brown University, May PhD Thesis: Shape Models of the Human Body for ...
3D Menagerie: Modeling the 3D Shape and Pose of Animalsopenaccess.thecvf.com › content_cvpr_2017 › html
openaccess.thecvf.com
by S Zuffi · · Cited by 187 — Silvia Zuffi, Angjoo Kanazawa, David W. Jacobs, Michael J. Black; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ...
Modeling the articulated 3D shape of animals - Di.Univr.Itwww.di.univr.it › ...
www.di.univr.it
Dec 12, — Modeling the articulated 3D shape of animals. Speaker: Silvia Zuffi - CNR-IMATI Milano. Wednesday, December 20, at 2:30 PM Aula I.
Paper CV4Animals Workshopwww.cv4animals.com › paper-2022
www.cv4animals.com
Paper ID 5: Learning to Regress 3D Animal Shape and Pose from Images using a Single 3D Exemplar, Silvia Zuffi (IMATI-CNR); Nadine Rueegg (Max Planck ...
Capturing Non-Rigid, 3D, Articulated Shape From Imagesopenaccess.thecvf.com › Zuffi_Lions_and_Tigers_CVPR_2018_paper
openaccess.thecvf.com
Silvia Zuffi, Angjoo Kanazawa, Michael J. Black; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, pp
生成对抗网络系列——CVPR2019中的图像转化GAN - 知乎
zhuanlan.zhihu.com
[1]Silvia Zuffi, Angjoo Kanazawa, and Michael J. Black. Lions and tigers and bears: Capturing non-rigid, 3d, articulated shape from images. In CVPR, [2]Sebastian Kalkowski, Christian Schulze, Andreas Dengel, and Damian Borth. Real-time analysis and visualization of the yfcc100m dataset. In MM Workshop,
CSE 590V: Computer Vision Reading Group
courses.cs.washington.edu
Contour People: A Parameterized Model of 2D Articulated Human Shape Authors: Oren Freifeld (Brown University) , Alex Weiss (Brown University) , Silvia Zuffi () ...
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