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DOC: Deep OCclusion Estimation From a Single Image

DOC: Deep OCclusion Estimation From a Single Image

20 November 2015
Peng Wang
Alan Yuille
ArXivPDFHTML

Papers citing "DOC: Deep OCclusion Estimation From a Single Image"

16 / 16 papers shown
Title
Occlusion Boundary and Depth: Mutual Enhancement via Multi-Task Learning
Occlusion Boundary and Depth: Mutual Enhancement via Multi-Task Learning
Lintao Xu
Yinghao Wang
Chaohui Wang
MDE
155
0
0
27 May 2025
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
397
37,704
0
20 May 2016
Affinity CNN: Learning Pixel-Centric Pairwise Relations for
  Figure/Ground Embedding
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding
Michael Maire
T. Narihira
Stella X. Yu
37
69
0
09 Dec 2015
Proposal-free Network for Instance-level Object Segmentation
Proposal-free Network for Instance-level Object Segmentation
Xiaodan Liang
Yunchao Wei
Xiaohui Shen
Jianchao Yang
Liang Lin
Shuicheng Yan
SSeg
60
233
0
09 Sep 2015
ParseNet: Looking Wider to See Better
ParseNet: Looking Wider to See Better
Wei Liu
Andrew Rabinovich
Alexander C. Berg
SSeg
111
1,210
0
15 Jun 2015
Joint Object and Part Segmentation using Deep Learned Potentials
Joint Object and Part Segmentation using Deep Learned Potentials
Peng Wang
Xiaohui Shen
Zhe Lin
Scott D. Cohen
Brian L. Price
Alan Yuille
60
123
0
01 May 2015
Holistically-Nested Edge Detection
Holistically-Nested Edge Detection
Saining Xie
Zhuowen Tu
93
3,479
0
24 Apr 2015
Learning Depth from Single Monocular Images Using Deep Convolutional
  Neural Fields
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields
Fayao Liu
Chunhua Shen
Guosheng Lin
Ian Reid
MDE
116
1,196
0
26 Feb 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully
  Connected CRFs
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
119
4,882
0
22 Dec 2014
Understanding Deep Image Representations by Inverting Them
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
96
1,959
0
26 Nov 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common
  Multi-Scale Convolutional Architecture
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen
Rob Fergus
VLM
MDE
160
2,674
0
18 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.1K
99,991
0
04 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLM
BDL
3DV
220
14,703
0
20 Jun 2014
Fast Edge Detection Using Structured Forests
Fast Edge Detection Using Structured Forests
Piotr Dollár
C. L. Zitnick
64
931
0
20 Jun 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
77
639
0
08 Jun 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
389
15,825
0
12 Nov 2013
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