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Part Segmentation for Highly Accurate Deformable Tracking in Occlusions
  via Fully Convolutional Neural Networks

Part Segmentation for Highly Accurate Deformable Tracking in Occlusions via Fully Convolutional Neural Networks

5 August 2019
Weilin Wan
Aaron Walsman
Dieter Fox
    3DH
ArXiv (abs)PDFHTML

Papers citing "Part Segmentation for Highly Accurate Deformable Tracking in Occlusions via Fully Convolutional Neural Networks"

19 / 19 papers shown
Title
Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose
  and Shape Estimation
Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation
Mohamed Omran
Christoph Lassner
Gerard Pons-Moll
Peter V. Gehler
Bernt Schiele
3DH
97
503
0
17 Aug 2018
BodyNet: Volumetric Inference of 3D Human Body Shapes
BodyNet: Volumetric Inference of 3D Human Body Shapes
Gül Varol
Duygu Ceylan
Bryan C. Russell
Jimei Yang
Ersin Yumer
Ivan Laptev
Cordelia Schmid
3DH
43
430
0
13 Apr 2018
DensePose: Dense Human Pose Estimation In The Wild
DensePose: Dense Human Pose Estimation In The Wild
R. Güler
Natalia Neverova
Iasonas Kokkinos
3DH
288
1,407
0
01 Feb 2018
End-to-end Recovery of Human Shape and Pose
End-to-end Recovery of Human Shape and Pose
Angjoo Kanazawa
Michael J. Black
David Jacobs
Jitendra Malik
3DH
220
1,801
0
18 Dec 2017
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB
Dushyant Mehta
Oleksandr Sotnychenko
Franziska Mueller
Weipeng Xu
Srinath Sridhar
Gerard Pons-Moll
Christian Theobalt
3DH
120
402
0
09 Dec 2017
Dynamic High Resolution Deformable Articulated Tracking
Dynamic High Resolution Deformable Articulated Tracking
Aaron Walsman
Weilin Wan
Tanner Schmidt
Dieter Fox
3DH
53
14
0
21 Nov 2017
Joint Multi-Person Pose Estimation and Semantic Part Segmentation
Joint Multi-Person Pose Estimation and Semantic Part Segmentation
Fangting Xia
Peng Wang
Xianjie Chen
Alan Yuille
81
214
0
10 Aug 2017
VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera
VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera
Dushyant Mehta
Srinath Sridhar
Oleksandr Sotnychenko
Helge Rhodin
Mohammad Shafiei
Hans-Peter Seidel
Weipeng Xu
Dan Casas
Christian Theobalt
3DH
70
817
0
03 May 2017
Towards Accurate Multi-person Pose Estimation in the Wild
Towards Accurate Multi-person Pose Estimation in the Wild
George Papandreou
Tyler Lixuan Zhu
Nori Kanazawa
Alexander Toshev
Jonathan Tompson
C. Bregler
Kevin Patrick Murphy
3DH
147
806
0
06 Jan 2017
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
Zhe Cao
Tomas Simon
S. Wei
Yaser Sheikh
3DH
156
6,548
0
24 Nov 2016
PoseTrack: Joint Multi-Person Pose Estimation and Tracking
PoseTrack: Joint Multi-Person Pose Estimation and Tracking
Umar Iqbal
Anton Milan
Juergen Gall
VOT
88
218
0
23 Nov 2016
Human pose estimation via Convolutional Part Heatmap Regression
Human pose estimation via Convolutional Part Heatmap Regression
Adrian Bulat
Georgios Tzimiropoulos
3DH
104
519
0
06 Sep 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
433
18,361
0
27 May 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
747
37,890
0
20 May 2016
Human Pose Estimation with Iterative Error Feedback
Human Pose Estimation with Iterative Error Feedback
João Carreira
Pulkit Agrawal
Katerina Fragkiadaki
Jitendra Malik
3DH
111
755
0
23 Jul 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,378
0
18 May 2015
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
235
4,180
0
17 May 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,508
0
04 Sep 2014
Detect What You Can: Detecting and Representing Objects using Holistic
  Models and Body Parts
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts
Xianjie Chen
Roozbeh Mottaghi
Xiaobai Liu
Sanja Fidler
R. Urtasun
Alan Yuille
100
642
0
08 Jun 2014
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