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Conditional Random Fields as Recurrent Neural Networks

Conditional Random Fields as Recurrent Neural Networks

11 February 2015
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip Torr
    SSeg
ArXivPDFHTML

Papers citing "Conditional Random Fields as Recurrent Neural Networks"

50 / 427 papers shown
Title
Column Networks for Collective Classification
Column Networks for Collective Classification
Trang Pham
T. Tran
Dinh Q. Phung
Svetha Venkatesh
GNN
17
145
0
15 Sep 2016
Bottom-up Instance Segmentation using Deep Higher-Order CRFs
Bottom-up Instance Segmentation using Deep Higher-Order CRFs
Anurag Arnab
Philip Torr
SSeg
23
52
0
08 Sep 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-,
  Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Iasonas Kokkinos
SSeg
SSL
48
670
0
07 Sep 2016
Efficient Continuous Relaxations for Dense CRF
Efficient Continuous Relaxations for Dense CRF
Alban Desmaison
Rudy Bunel
Pushmeet Kohli
Philip Torr
M. P. Kumar
32
27
0
22 Aug 2016
A Recurrent Encoder-Decoder Network for Sequential Face Alignment
A Recurrent Encoder-Decoder Network for Sequential Face Alignment
Xi Peng
Rogerio Feris
Xiaoyu Wang
Dimitris N. Metaxas
CVBM
180
140
0
19 Aug 2016
Saliency Detection via Combining Region-Level and Pixel-Level
  Predictions with CNNs
Saliency Detection via Combining Region-Level and Pixel-Level Predictions with CNNs
Youbao Tang
Xiangqian Wu
28
74
0
18 Aug 2016
Play and Learn: Using Video Games to Train Computer Vision Models
Play and Learn: Using Video Games to Train Computer Vision Models
Alireza Shafaei
James J. Little
Mark W. Schmidt
28
109
0
05 Aug 2016
Semantically Guided Depth Upsampling
Semantically Guided Depth Upsampling
N. Schneider
Lukas Schneider
Peter Pinggera
Uwe Franke
Marc Pollefeys
Christoph Stiller
MDE
21
79
0
02 Aug 2016
A Deep Primal-Dual Network for Guided Depth Super-Resolution
A Deep Primal-Dual Network for Guided Depth Super-Resolution
Gernot Riegler
David Ferstl
M. Rüther
Horst Bischof
SupR
MDE
25
89
0
28 Jul 2016
Gland Instance Segmentation by Deep Multichannel Side Supervision
Gland Instance Segmentation by Deep Multichannel Side Supervision
Yan Xu
Yang Li
Mingyuan Liu
Yipei Wang
M. Lai
E. Chang
MedIm
43
109
0
12 Jul 2016
Hierarchical Deep Temporal Models for Group Activity Recognition
Hierarchical Deep Temporal Models for Group Activity Recognition
Mostafa S. Ibrahim
S. Muralidharan
Zhiwei Deng
Arash Vahdat
Greg Mori
77
445
0
09 Jul 2016
Multi-level Contextual RNNs with Attention Model for Scene Labeling
Multi-level Contextual RNNs with Attention Model for Scene Labeling
Heng Fan
Xue Mei
Danil Prokhorov
Haibin Ling
43
49
0
08 Jul 2016
Spatial Aggregation of Holistically-Nested Networks for Automated
  Pancreas Segmentation
Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation
H. Roth
Le Lu
A. Farag
Andrew Sohn
Ronald M. Summers
SSeg
21
148
0
24 Jun 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
235
2,059
0
07 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
89
18,051
0
02 Jun 2016
Recurrent Fully Convolutional Networks for Video Segmentation
Recurrent Fully Convolutional Networks for Video Segmentation
Sepehr Valipour
Mennatullah Siam
Martin Jägersand
Nilanjan Ray
VOS
27
89
0
01 Jun 2016
DeepCut: Object Segmentation from Bounding Box Annotations using
  Convolutional Neural Networks
DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks
Martin Rajchl
M. J. Lee
Ozan Oktay
Konstantinos Kamnitsas
Jonathan Passerat-Palmbach
...
Mellisa Damodaram
Mary A. Rutherford
Joseph V. Hajnal
Bernhard Kainz
Daniel Rueckert
11
375
0
25 May 2016
Bridging Category-level and Instance-level Semantic Image Segmentation
Bridging Category-level and Instance-level Semantic Image Segmentation
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
ISeg
SSeg
9
161
0
23 May 2016
Learning Deep Representations of Fine-grained Visual Descriptions
Learning Deep Representations of Fine-grained Visual Descriptions
Scott E. Reed
Zeynep Akata
Bernt Schiele
Honglak Lee
OCL
VLM
176
840
0
17 May 2016
Laplacian Pyramid Reconstruction and Refinement for Semantic
  Segmentation
Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation
Golnaz Ghiasi
Charless C. Fowlkes
SSeg
26
49
0
08 May 2016
Scene Parsing with Integration of Parametric and Non-parametric Models
Scene Parsing with Integration of Parametric and Non-parametric Models
Bing Shuai
Zhen Zuo
G. Wang
Bernie Wang
12
18
0
20 Apr 2016
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic
  Segmentation
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
Di Lin
Jifeng Dai
Jiaya Jia
Kaiming He
Jian Sun
SSeg
59
1,003
0
18 Apr 2016
Pixel-level Encoding and Depth Layering for Instance-level Semantic
  Labeling
Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling
J. Uhrig
Marius Cordts
Uwe Franke
Thomas Brox
SSeg
27
174
0
18 Apr 2016
High-performance Semantic Segmentation Using Very Deep Fully
  Convolutional Networks
High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
25
130
0
15 Apr 2016
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep
  Convolutional Neural Networks
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks
Junyuan Xie
Ross B. Girshick
Ali Farhadi
3DH
42
426
0
13 Apr 2016
Training Constrained Deconvolutional Networks for Road Scene Semantic
  Segmentation
Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation
G. Ros
Simon Stent
P. Alcantarilla
Tomoki Watanabe
21
55
0
06 Apr 2016
Structured Feature Learning for Pose Estimation
Structured Feature Learning for Pose Estimation
Xiao Chu
Wanli Ouyang
Hongsheng Li
Xiaogang Wang
3DH
6
252
0
30 Mar 2016
Learning to Refine Object Segments
Learning to Refine Object Segments
Pedro H. O. Pinheiro
Nayeon Lee
R. Collobert
Piotr Dollàr
SSeg
44
854
0
29 Mar 2016
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation
  with Deep Gaussian CRFs
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs
Siddhartha Chandra
Iasonas Kokkinos
24
187
0
28 Mar 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
54
10,168
0
27 Mar 2016
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Anna Khoreva
Rodrigo Benenson
J. Hosang
Matthias Hein
Bernt Schiele
WSOD
VLM
ISeg
18
741
0
24 Mar 2016
Weakly-Supervised Semantic Segmentation using Motion Cues
Weakly-Supervised Semantic Segmentation using Motion Cues
P. Tokmakov
Alahari Karteek
Cordelia Schmid
22
56
0
23 Mar 2016
Semantic Object Parsing with Graph LSTM
Semantic Object Parsing with Graph LSTM
Xiaodan Liang
Xiaohui Shen
Jiashi Feng
Liang Lin
Shuicheng Yan
35
354
0
23 Mar 2016
Globally Normalized Transition-Based Neural Networks
Globally Normalized Transition-Based Neural Networks
D. Andor
Chris Alberti
David J. Weiss
Aliaksei Severyn
Alessandro Presta
Kuzman Ganchev
Slav Petrov
Michael Collins
22
568
0
19 Mar 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain
  Lesion Segmentation
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation
Konstantinos Kamnitsas
C. Ledig
Virginia Newcombe
Joanna P. Simpson
A. D. Kane
David Menon
Daniel Rueckert
Ben Glocker
MedIm
3DV
64
3,038
0
18 Mar 2016
Discriminative Embeddings of Latent Variable Models for Structured Data
Discriminative Embeddings of Latent Variable Models for Structured Data
H. Dai
Bo Dai
Le Song
BDL
49
693
0
17 Mar 2016
Unsupervised CNN for Single View Depth Estimation: Geometry to the
  Rescue
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
Ravi Garg
B. V. Kumar
G. Carneiro
Ian Reid
3DV
MDE
39
1,524
0
16 Mar 2016
Combining the Best of Convolutional Layers and Recurrent Layers: A
  Hybrid Network for Semantic Segmentation
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation
Zhicheng Yan
Huatian Zhang
Yangqing Jia
Thomas Breuel
Yizhou Yu
SSeg
27
41
0
15 Mar 2016
Object Contour Detection with a Fully Convolutional Encoder-Decoder
  Network
Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
Jimei Yang
Brian L. Price
Scott D. Cohen
Honglak Lee
Ming-Hsuan Yang
ObjD
24
365
0
15 Mar 2016
Pushing the Limits of Deep CNNs for Pedestrian Detection
Pushing the Limits of Deep CNNs for Pedestrian Detection
Qichang Hu
Peng Wang
Chunhua Shen
Anton van den Hengel
Fatih Porikli
8
94
0
15 Mar 2016
Exploring Context with Deep Structured models for Semantic Segmentation
Exploring Context with Deep Structured models for Semantic Segmentation
Guosheng Lin
Chunhua Shen
Anton van den Hengel
Ian Reid
SSeg
101
125
0
10 Mar 2016
A Survey of Semantic Segmentation
A Survey of Semantic Segmentation
Martin Thoma
SSeg
17
242
0
21 Feb 2016
Global Deconvolutional Networks for Semantic Segmentation
Global Deconvolutional Networks for Semantic Segmentation
Vladimir Nekrasov
Janghoon Ju
Jaesik Choi
SSeg
31
12
0
12 Feb 2016
Discriminative Training of Deep Fully-connected Continuous CRF with
  Task-specific Loss
Discriminative Training of Deep Fully-connected Continuous CRF with Task-specific Loss
Fayao Liu
Guosheng Lin
Chunhua Shen
21
24
0
28 Jan 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
Suraj Srinivas
Ravi Kiran Sarvadevabhatla
Konda Reddy Mopuri
N. Prabhu
S. Kruthiventi
R. Venkatesh Babu
OOD
35
215
0
25 Jan 2016
Learning Transferrable Knowledge for Semantic Segmentation with Deep
  Convolutional Neural Network
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
Seunghoon Hong
Junhyuk Oh
Bohyung Han
Honglak Lee
SSeg
16
173
0
24 Dec 2015
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Jifeng Dai
Kaiming He
Jian Sun
SSeg
44
1,225
0
14 Dec 2015
Iterative Instance Segmentation
Iterative Instance Segmentation
Ke Li
Bharath Hariharan
Jitendra Malik
ISeg
22
149
0
26 Nov 2015
Recurrent Instance Segmentation
Recurrent Instance Segmentation
Bernardino Romera-Paredes
Philip Torr
SSeg
24
329
0
25 Nov 2015
Superpixel Convolutional Networks using Bilateral Inceptions
Superpixel Convolutional Networks using Bilateral Inceptions
Raghudeep Gadde
Varun Jampani
Martin Kiefel
Daniel Kappler
Peter V. Gehler
SSeg
SupR
24
129
0
20 Nov 2015
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