Dense Human Body Correspondences Using Convolutional Networks

Dense Human Body Correspondences Using Convolutional Networks

18 November 2015

Hao Li

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