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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

18 November 2014
David Eigen
Rob Fergus
    VLM
    MDE
ArXivPDFHTML

Papers citing "Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture"

44 / 494 papers shown
Title
Pano2CAD: Room Layout From A Single Panorama Image
Pano2CAD: Room Layout From A Single Panorama Image
Jiu Xu
B. Stenger
Tommi Kerola
Tony Tung
3DV
24
63
0
29 Sep 2016
Deep Structured Features for Semantic Segmentation
Deep Structured Features for Semantic Segmentation
Michael Tschannen
Lukas Cavigelli
Fabian Mentzer
Thomas Wiatowski
Luca Benini
SSeg
25
14
0
26 Sep 2016
PixelNet: Towards a General Pixel-level Architecture
PixelNet: Towards a General Pixel-level Architecture
Aayush Bansal
Xinlei Chen
Bryan C. Russell
Abhinav Gupta
Deva Ramanan
SSeg
212
58
0
21 Sep 2016
Geometry-Based Next Frame Prediction from Monocular Video
Geometry-Based Next Frame Prediction from Monocular Video
R. Mahjourian
Martin Wicke
A. Angelova
MDE
19
41
0
20 Sep 2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard
Oisin Mac Aodha
Gabriel J. Brostow
MDE
72
2,870
0
13 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
50
670
0
07 Sep 2016
IM2CAD
IM2CAD
Hamid Izadinia
Qi Shan
S. M. Seitz
3DV
21
192
0
18 Aug 2016
Depth2Action: Exploring Embedded Depth for Large-Scale Action
  Recognition
Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition
Yi Zhu
Shawn D. Newsam
27
41
0
15 Aug 2016
Clockwork Convnets for Video Semantic Segmentation
Clockwork Convnets for Video Semantic Segmentation
Evan Shelhamer
Kate Rakelly
Judy Hoffman
Trevor Darrell
37
199
0
11 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
36
109
0
05 Aug 2016
A Two-Streamed Network for Estimating Fine-Scaled Depth Maps from Single
  RGB Images
A Two-Streamed Network for Estimating Fine-Scaled Depth Maps from Single RGB Images
Jun Yu Li
Reinhard Klein
Angela Yao
MDE
30
15
0
04 Jul 2016
An Uncertain Future: Forecasting from Static Images using Variational
  Autoencoders
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders
Jacob Walker
Carl Doersch
Abhinav Gupta
M. Hebert
VGen
15
512
0
25 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
92
18,058
0
02 Jun 2016
Deeper Depth Prediction with Fully Convolutional Residual Networks
Deeper Depth Prediction with Fully Convolutional Residual Networks
Iro Laina
Christian Rupprecht
Vasileios Belagiannis
Federico Tombari
Nassir Navab
3DV
MDE
18
1,819
0
01 Jun 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
30
116
0
23 May 2016
Single-Image Depth Perception in the Wild
Single-Image Depth Perception in the Wild
Weifeng Chen
Z. Fu
Dawei Yang
Jia Deng
MDE
20
511
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
42
426
0
13 Apr 2016
Online Multi-Target Tracking Using Recurrent Neural Networks
Online Multi-Target Tracking Using Recurrent Neural Networks
Anton Milan
S. Hamid Rezatofighi
A. Dick
Ian Reid
Konrad Schindler
VOT
42
515
0
13 Apr 2016
Cross-stitch Networks for Multi-task Learning
Cross-stitch Networks for Multi-task Learning
Ishan Misra
Abhinav Shrivastava
Abhinav Gupta
M. Hebert
37
1,337
0
12 Apr 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
Learning a Predictable and Generative Vector Representation for Objects
Learning a Predictable and Generative Vector Representation for Objects
Rohit Girdhar
David Fouhey
Mikel D. Rodriguez
Abhinav Gupta
3DV
37
708
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
27
187
0
28 Mar 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
34
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
96
10,176
0
27 Mar 2016
Semantic Object Parsing with Graph LSTM
Semantic Object Parsing with Graph LSTM
Xiaodan Liang
Xiaohui Shen
Jiashi Feng
Liang Lin
Shuicheng Yan
38
354
0
23 Mar 2016
Do We Really Need to Collect Millions of Faces for Effective Face
  Recognition?
Do We Really Need to Collect Millions of Faces for Effective Face Recognition?
I. Masi
A. Tran
J. Leksut
Tal Hassner
Gérard Medioni
CVBM
46
366
0
23 Mar 2016
Generative Image Modeling using Style and Structure Adversarial Networks
Generative Image Modeling using Style and Structure Adversarial Networks
Xinyu Wang
Abhinav Gupta
GAN
33
617
0
17 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
104
125
0
10 Mar 2016
HyperFace: A Deep Multi-task Learning Framework for Face Detection,
  Landmark Localization, Pose Estimation, and Gender Recognition
HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
Rajeev Ranjan
Vishal M. Patel
Rama Chellappa
CVBM
3DH
58
1,220
0
03 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
21
24
0
28 Jan 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
15
69
0
09 Dec 2015
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
Francesco Visin
Marco Ciccone
Adriana Romero
Kyle Kastner
Kyunghyun Cho
Yoshua Bengio
Matteo Matteucci
Aaron Courville
VLM
SSeg
19
251
0
22 Nov 2015
SceneNet: Understanding Real World Indoor Scenes With Synthetic Data
SceneNet: Understanding Real World Indoor Scenes With Synthetic Data
Ankur Handa
Viorica Patraucean
Vijay Badrinarayanan
Simon Stent
R. Cipolla
3DPC
3DV
28
230
0
22 Nov 2015
Spatio-temporal video autoencoder with differentiable memory
Spatio-temporal video autoencoder with differentiable memory
Viorica Patraucean
Ankur Handa
R. Cipolla
45
307
0
19 Nov 2015
Deep Reflectance Maps
Deep Reflectance Maps
Konstantinos Rematas
Tobias Ritschel
Mario Fritz
E. Gavves
Tinne Tuytelaars
33
103
0
13 Nov 2015
Attention to Scale: Scale-aware Semantic Image Segmentation
Attention to Scale: Scale-aware Semantic Image Segmentation
Liang-Chieh Chen
Yi Yang
Jiang Wang
Wei Xu
Alan Yuille
SSeg
54
1,316
0
10 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
460
15,657
0
02 Nov 2015
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object
  Detection
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection
Xi Li
Liming Zhao
Lina Wei
Ming-Hsuan Yang
Fei Wu
Yueting Zhuang
Haibin Ling
Jingdong Wang
22
496
0
19 Oct 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
37
123
0
01 May 2015
Efficient piecewise training of deep structured models for semantic
  segmentation
Efficient piecewise training of deep structured models for semantic segmentation
Guosheng Lin
Chunhua Shen
Anton van dan Hengel
Ian Reid
VLM
SSeg
55
923
0
04 Apr 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
33
4,869
0
22 Dec 2014
Designing Deep Networks for Surface Normal Estimation
Designing Deep Networks for Surface Normal Estimation
Xinyu Wang
David Fouhey
Abhinav Gupta
3DV
SSL
167
353
0
18 Nov 2014
Indoor Semantic Segmentation using depth information
Indoor Semantic Segmentation using depth information
Camille Couprie
C. Farabet
Laurent Najman
Yann LeCun
SSeg
MDE
97
474
0
16 Jan 2013
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