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1511.05904
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Dense Human Body Correspondences Using Convolutional Networks
18 November 2015
Lingyu Wei
Qi-Xing Huang
Duygu Ceylan
E. Vouga
Hao Li
3DH
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Papers citing
"Dense Human Body Correspondences Using Convolutional Networks"
7 / 7 papers shown
Title
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
282
4,171
0
26 Apr 2015
Learning to Compare Image Patches via Convolutional Neural Networks
Sergey Zagoruyko
N. Komodakis
SSL
78
1,436
0
14 Apr 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
328
13,123
0
12 Mar 2015
Do Convnets Learn Correspondence?
Jonathan Long
Ning Zhang
Trevor Darrell
81
311
0
04 Nov 2014
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
P. Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
ObjD
149
5,004
0
21 Dec 2013
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
256
26,147
0
11 Nov 2013
Sparse Modeling of Intrinsic Correspondences
Jonathan Pokrass
A. Bronstein
M. Bronstein
Pablo Sprechmann
Guillermo Sapiro
68
53
0
28 Sep 2012
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