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Deep Convolutional Neural Fields for Depth Estimation from a Single
  Image
v1v2 (latest)

Deep Convolutional Neural Fields for Depth Estimation from a Single Image

Computer Vision and Pattern Recognition (CVPR), 2014
24 November 2014
Fayao Liu
Chunhua Shen
Guosheng Lin
    MDE
ArXiv (abs)PDFHTML

Papers citing "Deep Convolutional Neural Fields for Depth Estimation from a Single Image"

50 / 301 papers shown
What do We Learn by Semantic Scene Understanding for Remote Sensing
  imagery in CNN framework?
What do We Learn by Semantic Scene Understanding for Remote Sensing imagery in CNN framework?
Haifeng Li
Jian Peng
Chao Tao
Jie Chen
M. Deng
122
5
0
19 May 2017
Efficient and Scalable View Generation from a Single Image using Fully
  Convolutional Networks
Efficient and Scalable View Generation from a Single Image using Fully Convolutional Networks
Sung-Ho Bae
Mohamed A. Elgharib
M. Hefeeda
Wojciech Matusik
156
3
0
10 May 2017
A simple yet effective baseline for 3d human pose estimation
A simple yet effective baseline for 3d human pose estimation
Julieta Martinez
Rayat Hossain
Javier Romero
James J. Little
3DH
473
1,433
0
08 May 2017
A Unified Approach of Multi-scale Deep and Hand-crafted Features for
  Defocus Estimation
A Unified Approach of Multi-scale Deep and Hand-crafted Features for Defocus Estimation
Jinsun Park
Yu-Wing Tai
Donghyeon Cho
In So Kweon
3DV
151
122
0
28 Apr 2017
CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction
CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction
Keisuke Tateno
Federico Tombari
Iro Laina
Nassir Navab
MDE
205
745
0
11 Apr 2017
Surface Normals in the Wild
Surface Normals in the Wild
Weifeng Chen
Donglai Xiang
Gaowen Liu
3DH
195
40
0
10 Apr 2017
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular
  Depth Estimation
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation
Dan Xu
Elisa Ricci
Wanli Ouyang
Xiaogang Wang
Andrii Zadaianchuk
313
437
0
07 Apr 2017
Configurable 3D Scene Synthesis and 2D Image Rendering with Per-Pixel
  Ground Truth using Stochastic Grammars
Configurable 3D Scene Synthesis and 2D Image Rendering with Per-Pixel Ground Truth using Stochastic Grammars
Jian Ren
Siyuan Qi
Yixin Zhu
Siyuan Huang
Jenny Lin
L. Yu
Demetri Terzopoulos
Song-Chun Zhu
3DV
386
84
0
01 Apr 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
184
34
0
21 Mar 2017
Semi-Supervised Deep Learning for Monocular Depth Map Prediction
Semi-Supervised Deep Learning for Monocular Depth Map PredictionComputer Vision and Pattern Recognition (CVPR), 2017
Yevhen Kuznietsov
J. Stückler
Bastian Leibe
MDESSL
401
690
0
09 Feb 2017
Wide-Residual-Inception Networks for Real-time Object Detection
Wide-Residual-Inception Networks for Real-time Object Detection
Youngwan Lee
Byeonghak Yim
Huieun Kim
Eunsoo Park
X. Cui
Taekang Woo
Hakil Kim
ObjD
218
33
0
04 Feb 2017
Learning from Synthetic Humans
Learning from Synthetic HumansComputer Vision and Pattern Recognition (CVPR), 2017
Gül Varol
Javier Romero
Xavier Martin
Naureen Mahmood
Michael J. Black
Ivan Laptev
Cordelia Schmid
3DH
584
1,020
0
05 Jan 2017
AGA: Attribute Guided Augmentation
AGA: Attribute Guided Augmentation
Mandar Dixit
Roland Kwitt
Marc Niethammer
Nuno Vasconcelos
GAN
172
103
0
08 Dec 2016
Superpixels: An Evaluation of the State-of-the-Art
Superpixels: An Evaluation of the State-of-the-Art
David Stutz
Alexander Hermans
Bastian Leibe
SupR
261
498
0
06 Dec 2016
Panoramic Structure from Motion via Geometric Relationship Detection
Panoramic Structure from Motion via Geometric Relationship Detection
Satoshi Ikehata
Ivaylo Boyadzhiev
Qi Shan
Yasutaka Furukawa
97
6
0
05 Dec 2016
Deep, Dense, and Low-Rank Gaussian Conditional Random Fields
Deep, Dense, and Low-Rank Gaussian Conditional Random Fields
Siddhartha Chandra
Iasonas Kokkinos
BDL
103
1
0
28 Nov 2016
Single-View and Multi-View Depth Fusion
Single-View and Multi-View Depth Fusion
José M. Fácil
Alejo Concha
Luis Montesano
Javier Civera
MDE
209
38
0
22 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
AI4TSSSeg
465
3,040
0
20 Nov 2016
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
758
863
0
13 Nov 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
SSegSSL
354
711
0
07 Sep 2016
Depth2Action: Exploring Embedded Depth for Large-Scale Action
  Recognition
Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition
Yi Zhu
Shawn D. Newsam
132
43
0
15 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 Schmidt
140
113
0
05 Aug 2016
Depth Estimation from Single Image using Sparse Representations
Depth Estimation from Single Image using Sparse Representations
Yigit Oktar
MDE
82
0
0
27 Jun 2016
Past, Present, and Future of Simultaneous Localization And Mapping:
  Towards the Robust-Perception Age
Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age
Cesar Cadena
Luca Carlone
Henry Carrillo
Yasir Latif
Davide Scaramuzza
José Neira
Ian Reid
J. Leonard
647
3,149
0
19 Jun 2016
Deeper Depth Prediction with Fully Convolutional Residual Networks
Deeper Depth Prediction with Fully Convolutional Residual NetworksInternational Conference on 3D Vision (3DV), 2016
Iro Laina
Christian Rupprecht
Vasileios Belagiannis
Federico Tombari
Nassir Navab
3DVMDE
580
1,949
0
01 Jun 2016
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
Hirokatsu Kataoka
Yudai Miyashita
Tomoaki K. Yamabe
Soma Shirakabe
Shin-ichi Sato
...
Kaori Abe
Takaaki Imanari
Naomichi Kobayashi
Shinichiro Morita
Akio Nakamura
139
2
0
26 May 2016
Depth from a Single Image by Harmonizing Overcomplete Local Network
  Predictions
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions
Ayan Chakrabarti
Jingyu Shao
Gregory Shakhnarovich
MDE
332
119
0
23 May 2016
Estimating Depth from Monocular Images as Classification Using Deep
  Fully Convolutional Residual Networks
Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Networks
Yuanzhouhan Cao
Zifeng Wu
Chunhua Shen
MDE
248
438
0
08 May 2016
Joint Semantic Segmentation and Depth Estimation with Deep Convolutional
  Networks
Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks
Arsalan Mousavian
Hamed Pirsiavash
Jana Kosecka
SSeg
278
156
0
25 Apr 2016
Synthetic Data for Text Localisation in Natural Images
Synthetic Data for Text Localisation in Natural Images
Ankush Gupta
Andrea Vedaldi
Andrew Zisserman
271
1,505
0
22 Apr 2016
Symmetry-aware Depth Estimation using Deep Neural Networks
Symmetry-aware Depth Estimation using Deep Neural Networks
Guilin Liu
Chao Yang
Zimo Li
Duygu Ceylan
Qi-Xing Huang
MDE
152
3
0
20 Apr 2016
Single-Image Depth Perception in the Wild
Single-Image Depth Perception in the Wild
Weifeng Chen
Z. Fu
Dawei Yang
Gaowen Liu
MDE
382
555
0
13 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
217
441
0
13 Apr 2016
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction
Aayush Bansal
Bryan C. Russell
Abhinav Gupta
225
231
0
05 Apr 2016
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object
  Reconstruction
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Chris Choy
Danfei Xu
JunYoung Gwak
Kevin Chen
Silvio Savarese
3DV
533
1,825
0
02 Apr 2016
DeLight-Net: Decomposing Reflectance Maps into Specular Materials and
  Natural Illumination
DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination
Stamatios Georgoulis
Konstantinos Rematas
Tobias Ritschel
Mario Fritz
Luc Van Gool
Tinne Tuytelaars
183
24
0
27 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
661
11,037
0
27 Mar 2016
Fine-scale Surface Normal Estimation using a Single NIR Image
Fine-scale Surface Normal Estimation using a Single NIR Image
Youngjin Yoon
Gyeongmin Choe
Namil Kim
Joon-Young Lee
In So Kweon
136
17
0
24 Mar 2016
Unified Depth Prediction and Intrinsic Image Decomposition from a Single
  Image via Joint Convolutional Neural Fields
Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields
Seungryong Kim
Kihong Park
Kwanghoon Sohn
Stephen Lin
MDE
145
112
0
21 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
368
131
0
10 Mar 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
148
24
0
28 Jan 2016
Structured learning of metric ensembles with application to person
  re-identification
Structured learning of metric ensembles with application to person re-identification
S. Paisitkriangkrai
Lin Wu
Chunhua Shen
Anton Van Den Hengel
103
13
0
27 Nov 2015
Constrained Structured Regression with Convolutional Neural Networks
Constrained Structured Regression with Convolutional Neural Networks
Deepak Pathak
Philipp Krahenbuhl
Stella X. Yu
Trevor Darrell
BDL
106
10
0
23 Nov 2015
Deep Reflectance Maps
Deep Reflectance Maps
Konstantinos Rematas
Tobias Ritschel
Mario Fritz
E. Gavves
Tinne Tuytelaars
199
106
0
13 Nov 2015
Deeply Learning the Messages in Message Passing Inference
Deeply Learning the Messages in Message Passing InferenceNeural Information Processing Systems (NeurIPS), 2015
Guosheng Lin
Chunhua Shen
Ian Reid
Anton Van Den Hengel
3DV
249
64
0
06 Jun 2015
Efficient piecewise training of deep structured models for semantic
  segmentation
Efficient piecewise training of deep structured models for semantic segmentationComputer Vision and Pattern Recognition (CVPR), 2015
Guosheng Lin
Chunhua Shen
Anton van dan Hengel
Ian Reid
VLMSSeg
662
938
0
04 Apr 2015
CRF Learning with CNN Features for Image Segmentation
CRF Learning with CNN Features for Image SegmentationPattern Recognition (PR), 2015
Fayao Liu
Guosheng Lin
Chunhua Shen
SSeg
158
213
0
28 Mar 2015
Learning to rank in person re-identification with metric ensembles
Learning to rank in person re-identification with metric ensembles
S. Paisitkriangkrai
Chunhua Shen
Anton Van Den Hengel
179
480
0
05 Mar 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
450
1,251
0
26 Feb 2015
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 ArchitectureIEEE International Conference on Computer Vision (ICCV), 2014
David Eigen
Rob Fergus
VLMMDE
574
2,789
0
18 Nov 2014
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