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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
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Papers citing "Conditional Random Fields as Recurrent Neural Networks"

50 / 428 papers shown
Title
Reformulating Level Sets as Deep Recurrent Neural Network Approach to
  Semantic Segmentation
Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation
Ngan Le
Kha Gia Quach
Khoa Luu
Marios Savvides
Chenchen Zhu
24
71
0
12 Apr 2017
Detecting Visual Relationships with Deep Relational Networks
Detecting Visual Relationships with Deep Relational Networks
Bo Dai
Yuqi Zhang
Dahua Lin
GNN
59
500
0
11 Apr 2017
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition
Tianmin Shu
S. Todorovic
Song-Chun Zhu
17
149
0
10 Apr 2017
Loss Max-Pooling for Semantic Image Segmentation
Loss Max-Pooling for Semantic Image Segmentation
Samuel Rota Buló
Gerhard Neuhold
Peter Kontschieder
SSeg
28
116
0
10 Apr 2017
Semantic-driven Generation of Hyperlapse from $360^\circ$ Video
Semantic-driven Generation of Hyperlapse from 360∘360^\circ360∘ Video
Wei-Sheng Lai
Yujia Huang
Neel Joshi
Chris Buehler
Ming-Hsuan Yang
S. B. Kang
VGen
8
34
0
31 Mar 2017
Bootstrapping Labelled Dataset Construction for Cow Tracking and
  Behavior Analysis
Bootstrapping Labelled Dataset Construction for Cow Tracking and Behavior Analysis
Aram Ter-Sarkisov
R. Ross
John D. Kelleher
18
10
0
30 Mar 2017
ZM-Net: Real-time Zero-shot Image Manipulation Network
ZM-Net: Real-time Zero-shot Image Manipulation Network
Hao Wang
Xiaodan Liang
Huatian Zhang
Dit-Yan Yeung
Eric Xing
19
34
0
21 Mar 2017
End-to-End Learning for Structured Prediction Energy Networks
End-to-End Learning for Structured Prediction Energy Networks
David Belanger
Bishan Yang
Andrew McCallum
14
136
0
16 Mar 2017
A fully end-to-end deep learning approach for real-time simultaneous 3D
  reconstruction and material recognition
A fully end-to-end deep learning approach for real-time simultaneous 3D reconstruction and material recognition
Cheng Zhao
Li Sun
Rustam Stolkin
3DV
16
45
0
14 Mar 2017
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured
  Outputs
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs
Michael Gygli
Mohammad Norouzi
A. Angelova
TDI
24
68
0
13 Mar 2017
End-to-end semantic face segmentation with conditional random fields as
  convolutional, recurrent and adversarial networks
End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks
Umut Güçlü
Yağmur Güçlütürk
Meysam Madadi
Sergio Escalera
Xavier Baro
Jordi Gonzalez
R. Lier
Marcel van Gerven
CVBM
GAN
SSeg
38
19
0
09 Mar 2017
Interpretable Structure-Evolving LSTM
Interpretable Structure-Evolving LSTM
Xiaodan Liang
Liang Lin
Xiaohui Shen
Jiashi Feng
Shuicheng Yan
Eric Xing
35
96
0
08 Mar 2017
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action
  Localization in Untrimmed Videos
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos
Zheng Shou
Jonathan Chan
Alireza Zareian
K. Miyazawa
Shih-Fu Chang
25
560
0
04 Mar 2017
Looking at Outfit to Parse Clothing
Looking at Outfit to Parse Clothing
Pongsate Tangseng
Zhipeng Wu
Kota Yamaguchi
CVBM
22
56
0
04 Mar 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos
J. Zico Kolter
21
946
0
01 Mar 2017
Understanding Convolution for Semantic Segmentation
Understanding Convolution for Semantic Segmentation
Panqu Wang
Pengfei Chen
Ye Yuan
Ding Liu
Zehua Huang
Xiaodi Hou
G. Cottrell
SSeg
24
1,676
0
27 Feb 2017
Multi-Context Attention for Human Pose Estimation
Multi-Context Attention for Human Pose Estimation
Xiao Chu
Wei Yang
Wanli Ouyang
Cheng Ma
Alan Yuille
Xiaogang Wang
3DH
36
640
0
24 Feb 2017
PixelNet: Representation of the pixels, by the pixels, and for the
  pixels
PixelNet: Representation of the pixels, by the pixels, and for the pixels
Aayush Bansal
Xinlei Chen
Bryan C. Russell
Abhinav Gupta
Deva Ramanan
SSeg
29
120
0
21 Feb 2017
A deep learning model integrating FCNNs and CRFs for brain tumor
  segmentation
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
Xiaomei Zhao
Yihong Wu
Guidong Song
Zhenye Li
Yazhuo Zhang
Yong-Xian Fan
MedIm
16
669
0
15 Feb 2017
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks
  for Automated Pancreas Localization and Segmentation
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation
H. Roth
Le Lu
Nathan S. Lay
Adam P. Harrison
A. Farag
Andrew Sohn
Ronald M. Summers
31
285
0
31 Jan 2017
Image De-raining Using a Conditional Generative Adversarial Network
Image De-raining Using a Conditional Generative Adversarial Network
He Zhang
Vishwanath A. Sindagi
Vishal M. Patel
GAN
32
1,010
0
21 Jan 2017
FusionSeg: Learning to combine motion and appearance for fully automatic
  segmention of generic objects in videos
FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos
Enis Berk Çoban
Bo Xiong
Michael I. Mandel
VOS
33
381
0
19 Jan 2017
Pixel Objectness
Pixel Objectness
S. Jain
Bo Xiong
Kristen Grauman
27
37
0
19 Jan 2017
Weakly Supervised Semantic Segmentation using Web-Crawled Videos
Weakly Supervised Semantic Segmentation using Web-Crawled Videos
Seunghoon Hong
Donghun Yeo
Suha Kwak
Honglak Lee
Bohyung Han
35
158
0
02 Jan 2017
Semantic Video Segmentation by Gated Recurrent Flow Propagation
Semantic Video Segmentation by Gated Recurrent Flow Propagation
David Nilsson
C. Sminchisescu
23
222
0
28 Dec 2016
Deeply Aggregated Alternating Minimization for Image Restoration
Deeply Aggregated Alternating Minimization for Image Restoration
Youngjung Kim
Hyungjoo Jung
Dongbo Min
Kwanghoon Sohn
18
30
0
20 Dec 2016
Video Propagation Networks
Video Propagation Networks
Varun Jampani
Raghudeep Gadde
Peter V. Gehler
DiffM
19
230
0
16 Dec 2016
COCO-Stuff: Thing and Stuff Classes in Context
COCO-Stuff: Thing and Stuff Classes in Context
Holger Caesar
J. Uijlings
V. Ferrari
23
1,357
0
12 Dec 2016
FCNs in the Wild: Pixel-level Adversarial and Constraint-based
  Adaptation
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
Judy Hoffman
Dequan Wang
Feng Yu
Trevor Darrell
OOD
16
785
0
08 Dec 2016
ImageNet pre-trained models with batch normalization
ImageNet pre-trained models with batch normalization
Marcel Simon
E. Rodner
Joachim Denzler
VLM
SSeg
44
165
0
05 Dec 2016
Video Scene Parsing with Predictive Feature Learning
Video Scene Parsing with Predictive Feature Learning
Xiaojie Jin
Xuzhao Li
Huaxin Xiao
Xiaohui Shen
Zhe-nan Lin
...
Jian Dong
Luoqi Liu
Zequn Jie
Jiashi Feng
Shuicheng Yan
40
111
0
01 Dec 2016
End-to-End Training of Hybrid CNN-CRF Models for Stereo
End-to-End Training of Hybrid CNN-CRF Models for Stereo
Patrick Knöbelreiter
Christian Reinbacher
Alexander Shekhovtsov
Thomas Pock
3DV
35
132
0
30 Nov 2016
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for
  Semantic Segmentation
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
S. Jégou
M. Drozdzal
David Vazquez
Adriana Romero
Yoshua Bengio
SSeg
46
1,573
0
28 Nov 2016
Object Detection Free Instance Segmentation With Labeling
  Transformations
Object Detection Free Instance Segmentation With Labeling Transformations
Long Jin
Zeyu Chen
Zhuowen Tu
ISeg
23
16
0
28 Nov 2016
Full-Resolution Residual Networks for Semantic Segmentation in Street
  Scenes
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
Tobias Pohlen
Alexander Hermans
Markus Mathias
Bastian Leibe
SSeg
33
562
0
24 Nov 2016
InstanceCut: from Edges to Instances with MultiCut
InstanceCut: from Edges to Instances with MultiCut
Alexander Kirillov
Evgeny Levinkov
Bjoern Andres
Bogdan Savchynskyy
Carsten Rother
SSeg
26
250
0
24 Nov 2016
Multi-Modal Mean-Fields via Cardinality-Based Clamping
Multi-Modal Mean-Fields via Cardinality-Based Clamping
Pierre Baqué
F. Fleuret
Pascal Fua
AI4CE
27
3
0
23 Nov 2016
Straight to Shapes: Real-time Detection of Encoded Shapes
Straight to Shapes: Real-time Detection of Encoded Shapes
Saumya Jetley
Michael Sapienza
Stuart Golodetz
Philip Torr
ObjD
17
50
0
23 Nov 2016
Fully Convolutional Instance-aware Semantic Segmentation
Fully Convolutional Instance-aware Semantic Segmentation
Yi Li
Haozhi Qi
Jifeng Dai
Xiangyang Ji
Yichen Wei
ISeg
SSeg
44
1,002
0
23 Nov 2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TS
SSeg
92
2,831
0
20 Nov 2016
Generalized BackPropagation, Étude De Cas: Orthogonality
Generalized BackPropagation, Étude De Cas: Orthogonality
Mehrtash Harandi
Basura Fernando
10
62
0
17 Nov 2016
End-to-end Learning of Cost-Volume Aggregation for Real-time Dense
  Stereo
End-to-end Learning of Cost-Volume Aggregation for Real-time Dense Stereo
Andrey Kuzmin
Dmitry Mikushin
Victor Lempitsky
3DV
18
24
0
17 Nov 2016
Semantic Regularisation for Recurrent Image Annotation
Semantic Regularisation for Recurrent Image Annotation
Feng Liu
Tao Xiang
Timothy M. Hospedales
Wankou Yang
Changyin Sun
37
103
0
16 Nov 2016
Convolutional Gated Recurrent Networks for Video Segmentation
Convolutional Gated Recurrent Networks for Video Segmentation
Mennatullah Siam
Sepehr Valipour
Martin Jägersand
Nilanjan Ray
VOS
25
98
0
16 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for
  Robotics
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics
J. M. Wong
27
11
0
01 Nov 2016
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully
  Convolutional Neural Networks and 3D Conditional Random Fields
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
P. Christ
M. Elshaer
Florian Ettlinger
S. Tatavarty
Marc Bickel
...
Felix O. Hofmann
M. D’Anastasi
Wieland H. Sommer
Seyed-Ahmad Ahmadi
Bjoern H. Menze
MedIm
22
631
0
07 Oct 2016
PetroSurf3D - A Dataset for high-resolution 3D Surface Segmentation
PetroSurf3D - A Dataset for high-resolution 3D Surface Segmentation
Georg Poier
Markus Seidl
Matthias Zeppelzauer
Christian Reinbacher
M. Schaich
G. Bellandi
A. Marretta
Horst Bischof
3DV
3DPC
32
8
0
06 Oct 2016
A CNN Cascade for Landmark Guided Semantic Part Segmentation
A CNN Cascade for Landmark Guided Semantic Part Segmentation
Aaron S. Jackson
M. Valstar
Georgios Tzimiropoulos
SSeg
8
48
0
30 Sep 2016
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
187
603
0
22 Sep 2016
Semantic Segmentation of Earth Observation Data Using Multimodal and
  Multi-scale Deep Networks
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
Nicolas Audebert
Bertrand Le Saux
Sébastien Lefèvre
SSeg
26
383
0
22 Sep 2016
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