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Learning Deep Structured Models

Learning Deep Structured Models

9 July 2014
Liang-Chieh Chen
A. Schwing
Alan Yuille
R. Urtasun
    BDL
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Papers citing "Learning Deep Structured Models"

50 / 125 papers shown
Title
Learning Discriminators as Energy Networks in Adversarial Learning
Learning Discriminators as Energy Networks in Adversarial Learning
Pingbo Pan
Yan Yan
Tianbao Yang
Yi Yang
11
1
0
02 Oct 2018
Efficient Structured Surrogate Loss and Regularization in Structured
  Prediction
Efficient Structured Surrogate Loss and Regularization in Structured Prediction
Heejin Choi
6
1
0
14 Sep 2018
Efficient Graph Cut Optimization for Full CRFs with Quantized Edges
Efficient Graph Cut Optimization for Full CRFs with Quantized Edges
O. Veksler
MQ
12
14
0
13 Sep 2018
Quantum Algorithms for Structured Prediction
Quantum Algorithms for Structured Prediction
Behrooz Sepehry
E. Iranmanesh
M. Friedlander
Pooya Ronagh
19
2
0
11 Sep 2018
Learning Human-Object Interactions by Graph Parsing Neural Networks
Learning Human-Object Interactions by Graph Parsing Neural Networks
Siyuan Qi
Wenguan Wang
Baoxiong Jia
Jianbing Shen
Song-Chun Zhu
GNN
36
533
0
23 Aug 2018
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation
Siddhartha Chandra
Camille Couprie
Iasonas Kokkinos
18
60
0
03 Jul 2018
Adversarial Structure Matching for Structured Prediction Tasks
Adversarial Structure Matching for Structured Prediction Tasks
Jyh-Jing Hwang
Tsung-Wei Ke
Jianbo Shi
Stella X. Yu
8
7
0
18 May 2018
Adaptive Affinity Fields for Semantic Segmentation
Adaptive Affinity Fields for Semantic Segmentation
Tsung-Wei Ke
Jyh-Jing Hwang
Ziwei Liu
Stella X. Yu
16
191
0
27 Mar 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Eric Zhan
Stephan Zheng
Yisong Yue
Long Sha
P. Lucey
25
88
0
20 Mar 2018
Deep Component Analysis via Alternating Direction Neural Networks
Deep Component Analysis via Alternating Direction Neural Networks
Calvin Murdock
Ming-Fang Chang
Simon Lucey
BDL
27
20
0
16 Mar 2018
Learning deep structured active contours end-to-end
Learning deep structured active contours end-to-end
Diego Marcos
D. Tuia
B. Kellenberger
Lisa Zhang
Min Bai
Renjie Liao
R. Urtasun
14
155
0
16 Mar 2018
Variational Message Passing with Structured Inference Networks
Variational Message Passing with Structured Inference Networks
Wu Lin
Nicolas Hubacher
Mohammad Emtiyaz Khan
BDL
23
54
0
15 Mar 2018
Convolutional Neural Networks with Alternately Updated Clique
Convolutional Neural Networks with Alternately Updated Clique
Yibo Yang
Zhisheng Zhong
Tiancheng Shen
Zhouchen Lin
21
128
0
28 Feb 2018
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse
  Coding
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding
Dong Liu
Ke Sun
Zhangyang Wang
Runsheng Liu
Zhengjun Zha
24
12
0
28 Feb 2018
Mapping Images to Scene Graphs with Permutation-Invariant Structured
  Prediction
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Roei Herzig
Moshiko Raboh
Gal Chechik
Jonathan Berant
Amir Globerson
GNN
OCL
29
133
0
15 Feb 2018
Predict and Constrain: Modeling Cardinality in Deep Structured
  Prediction
Predict and Constrain: Modeling Cardinality in Deep Structured Prediction
Nataly Brukhim
Amir Globerson
29
9
0
13 Feb 2018
Deep Structured Energy-Based Image Inpainting
Deep Structured Energy-Based Image Inpainting
Fazil Altinel
Mete Ozay
Takayuki Okatani
20
13
0
24 Jan 2018
Structured Set Matching Networks for One-Shot Part Labeling
Structured Set Matching Networks for One-Shot Part Labeling
Jonghyun Choi
Jayant Krishnamurthy
Aniruddha Kembhavi
Ali Farhadi
29
23
0
05 Dec 2017
A Connection between Feed-Forward Neural Networks and Probabilistic
  Graphical Models
A Connection between Feed-Forward Neural Networks and Probabilistic Graphical Models
D. Schlesinger
32
0
0
30 Oct 2017
Watch Your Step: Learning Node Embeddings via Graph Attention
Watch Your Step: Learning Node Embeddings via Graph Attention
Sami Abu-El-Haija
Bryan Perozzi
Rami Al-Rfou
Alexander A. Alemi
GNN
29
32
0
26 Oct 2017
Learning Graph-Structured Sum-Product Networks for Probabilistic
  Semantic Maps
Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic Maps
Kaiyu Zheng
Andrzej Pronobis
Rajesh P. N. Rao
TPM
17
4
0
24 Sep 2017
Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation
  Approach
Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach
Timnit Gebru
Judy Hoffman
Li Fei-Fei
13
156
0
07 Sep 2017
Learning Inference Models for Computer Vision
Learning Inference Models for Computer Vision
Varun Jampani
BDL
30
1
0
31 Aug 2017
Structured Attentions for Visual Question Answering
Structured Attentions for Visual Question Answering
Chen Zhu
Yanpeng Zhao
Shuaiyi Huang
Kewei Tu
Yi Ma
FAtt
32
106
0
07 Aug 2017
End-to-end learning potentials for structured attribute prediction
End-to-end learning potentials for structured attribute prediction
Kota Yamaguchi
Takayuki Okatani
T. Umeda
Kazuhiko Murasaki
K. Sudo
BDL
22
2
0
06 Aug 2017
Toward Robustness against Label Noise in Training Deep Discriminative
  Neural Networks
Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks
Arash Vahdat
NoLa
13
296
0
31 May 2017
Large-Scale Classification of Structured Objects using a CRF with Deep
  Class Embedding
Large-Scale Classification of Structured Objects using a CRF with Deep Class Embedding
Eran Goldman
Jacob Goldberger
BDL
27
14
0
21 May 2017
Deep Structured Learning for Facial Action Unit Intensity Estimation
Deep Structured Learning for Facial Action Unit Intensity Estimation
R. Walecki
Ognjen Rudovic
Rudovic
Vladimir Pavlovic
Björn Schuller
M. Pantic
CVBM
13
121
0
14 Apr 2017
Creativity: Generating Diverse Questions using Variational Autoencoders
Creativity: Generating Diverse Questions using Variational Autoencoders
Unnat Jain
Ziyu Zhang
A. Schwing
22
152
0
11 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
Pixelwise Instance Segmentation with a Dynamically Instantiated Network
Pixelwise Instance Segmentation with a Dynamically Instantiated Network
Anurag Arnab
Philip Torr
ISeg
SSeg
14
231
0
07 Apr 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
OptNet: Differentiable Optimization as a Layer in Neural Networks
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos
J. Zico Kolter
19
943
0
01 Mar 2017
Structured Attention Networks
Structured Attention Networks
Yoon Kim
Carl Denton
Luong Hoang
Alexander M. Rush
41
460
0
03 Feb 2017
Asynchronous Temporal Fields for Action Recognition
Asynchronous Temporal Fields for Action Recognition
Gunnar A. Sigurdsson
S. Divvala
Ali Farhadi
Abhinav Gupta
BDL
18
170
0
19 Dec 2016
Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise
  Labeling
Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise Labeling
Spyros Gidaris
N. Komodakis
11
145
0
14 Dec 2016
Implicit Modeling -- A Generalization of Discriminative and Generative
  Approaches
Implicit Modeling -- A Generalization of Discriminative and Generative Approaches
D. Schlesinger
Carsten Rother
VLM
GAN
8
0
0
05 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
30
132
0
30 Nov 2016
Deep, Dense, and Low-Rank Gaussian Conditional Random Fields
Deep, Dense, and Low-Rank Gaussian Conditional Random Fields
Siddhartha Chandra
Iasonas Kokkinos
BDL
20
1
0
28 Nov 2016
Generalized BackPropagation, Étude De Cas: Orthogonality
Generalized BackPropagation, Étude De Cas: Orthogonality
Mehrtash Harandi
Basura Fernando
6
62
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
34
103
0
16 Nov 2016
Sequence Segmentation Using Joint RNN and Structured Prediction Models
Sequence Segmentation Using Joint RNN and Structured Prediction Models
Yossi Adi
Joseph Keshet
E. Cibelli
Matthew A. Goldrick
29
21
0
25 Oct 2016
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
187
601
0
22 Sep 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
ATGV-Net: Accurate Depth Super-Resolution
ATGV-Net: Accurate Depth Super-Resolution
Gernot Riegler
M. Rüther
Horst Bischof
MDE
SupR
29
150
0
27 Jul 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
80
18,038
0
02 Jun 2016
Fast Semantic Image Segmentation with High Order Context and Guided
  Filtering
Fast Semantic Image Segmentation with High Order Context and Guided Filtering
Falong Shen
Gang Zeng
SSeg
20
10
0
13 May 2016
Adversarial Diversity and Hard Positive Generation
Adversarial Diversity and Hard Positive Generation
Andras Rozsa
Ethan M. Rudd
Terrance E. Boult
6
256
0
05 May 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
15
55
0
06 Apr 2016
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