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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"

50 / 494 papers shown
Title
SketchParse : Towards Rich Descriptions for Poorly Drawn Sketches using
  Multi-Task Hierarchical Deep Networks
SketchParse : Towards Rich Descriptions for Poorly Drawn Sketches using Multi-Task Hierarchical Deep Networks
Ravi Kiran Sarvadevabhatla
Isht Dwivedi
Abhijat Biswas
S. Manocha
R. VenkateshBabu
3DV
24
38
0
05 Sep 2017
A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition
A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition
Isma Hadji
Richard P. Wildes
33
27
0
22 Aug 2017
Sparsity Invariant CNNs
Sparsity Invariant CNNs
J. Uhrig
N. Schneider
Lukas Schneider
Uwe Franke
Thomas Brox
Andreas Geiger
59
824
0
22 Aug 2017
Improved Adversarial Systems for 3D Object Generation and Reconstruction
Improved Adversarial Systems for 3D Object Generation and Reconstruction
Edward James Smith
David Meger
GAN
34
171
0
29 Jul 2017
3D Sketching using Multi-View Deep Volumetric Prediction
3D Sketching using Multi-View Deep Volumetric Prediction
J. Delanoy
Mathieu Aubry
Phillip Isola
Alexei A. Efros
Adrien Bousseau
3DV
27
126
0
26 Jul 2017
Deep Interactive Region Segmentation and Captioning
Deep Interactive Region Segmentation and Captioning
Ali Sharifi Boroujerdi
M. Khanian
M. Breuß
24
7
0
26 Jul 2017
Physics Inspired Optimization on Semantic Transfer Features: An
  Alternative Method for Room Layout Estimation
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation
Hao Zhao
Ming Lu
Anbang Yao
Yiwen Guo
Yurong Chen
Li Zhang
16
63
0
03 Jul 2017
Joint Prediction of Depths, Normals and Surface Curvature from RGB
  Images using CNNs
Joint Prediction of Depths, Normals and Surface Curvature from RGB Images using CNNs
Thanuja Dharmasiri
Andrew Spek
Tom Drummond
3DV
19
28
0
23 Jun 2017
LinkNet: Exploiting Encoder Representations for Efficient Semantic
  Segmentation
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
Abhishek Chaurasia
Eugenio Culurciello
SSeg
18
1,367
0
14 Jun 2017
Data Driven Coded Aperture Design for Depth Recovery
Data Driven Coded Aperture Design for Depth Recovery
Prasan A. Shedligeri
S. Mohan
Kaushik Mitra
35
14
0
29 May 2017
DepthCut: Improved Depth Edge Estimation Using Multiple Unreliable
  Channels
DepthCut: Improved Depth Edge Estimation Using Multiple Unreliable Channels
Paul Guerrero
H. Winnemöller
Wilmot Li
Niloy J. Mitra
MDE
21
7
0
22 May 2017
Incorporating Depth into both CNN and CRF for Indoor Semantic
  Segmentation
Incorporating Depth into both CNN and CRF for Indoor Semantic Segmentation
Jindong Jiang
Zhijun Zhang
Yongqian Huang
Lunan Zheng
45
28
0
21 May 2017
Critical Contours: An Invariant Linking Image Flow with Salient Surface
  Organization
Critical Contours: An Invariant Linking Image Flow with Salient Surface Organization
B. Kunsberg
Steven W. Zucker
19
20
0
20 May 2017
Recurrent Scene Parsing with Perspective Understanding in the Loop
Recurrent Scene Parsing with Perspective Understanding in the Loop
Shu Kong
Charless C. Fowlkes
SSeg
MDE
17
105
0
20 May 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
102
3,076
0
19 May 2017
Recent Advances in Transfer Learning for Cross-Dataset Visual
  Recognition: A Problem-Oriented Perspective
Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective
Jing Zhang
Wanqing Li
P. Ogunbona
Dong Xu
OOD
27
46
0
11 May 2017
Incremental Learning Through Deep Adaptation
Incremental Learning Through Deep Adaptation
Amir Rosenfeld
John K. Tsotsos
CLL
19
276
0
11 May 2017
Obstacle Avoidance through Deep Networks based Intermediate Perception
Obstacle Avoidance through Deep Networks based Intermediate Perception
Shichao Yang
Sandeep Konam
Chen Ma
Stephanie Rosenthal
Manuela Veloso
Sebastian Scherer
15
39
0
27 Apr 2017
A Review on Deep Learning Techniques Applied to Semantic Segmentation
A Review on Deep Learning Techniques Applied to Semantic Segmentation
Alberto Garcia-Garcia
Sergio Orts
Sergiu Oprea
Victor Villena-Martinez
Jose Garcia-Rodriguez
3DV
SSeg
34
1,270
0
22 Apr 2017
Multi-view Supervision for Single-view Reconstruction via Differentiable
  Ray Consistency
Multi-view Supervision for Single-view Reconstruction via Differentiable Ray Consistency
Shubham Tulsiani
Tinghui Zhou
Alyosha A. Efros
Jitendra Malik
3DV
36
558
0
20 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
34
679
0
11 Apr 2017
Loss Max-Pooling for Semantic Image Segmentation
Loss Max-Pooling for Semantic Image Segmentation
Samuel Rota Buló
Gerhard Neuhold
Peter Kontschieder
SSeg
30
116
0
10 Apr 2017
Surface Normals in the Wild
Surface Normals in the Wild
Weifeng Chen
Donglai Xiang
Jia Deng
3DH
13
36
0
10 Apr 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
  Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
GAN
61
5,554
0
30 Mar 2017
Large Pose 3D Face Reconstruction from a Single Image via Direct
  Volumetric CNN Regression
Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression
Aaron S. Jackson
Adrian Bulat
Vasileios Argyriou
Georgios Tzimiropoulos
3DH
3DV
31
442
0
22 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
Learning Rank Reduced Interpolation with Principal Component Analysis
Learning Rank Reduced Interpolation with Principal Component Analysis
M. Ochs
H. Bradler
Rudolf Mester
24
2
0
15 Mar 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
88
4,645
0
15 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
Label Refinement Network for Coarse-to-Fine Semantic Segmentation
Label Refinement Network for Coarse-to-Fine Semantic Segmentation
Md. Amirul Islam
Shujon Naha
Mrigank Rochan
Neil D. B. Bruce
Yang Wang
SSeg
27
55
0
01 Mar 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
32
120
0
21 Feb 2017
Semi-Supervised Deep Learning for Monocular Depth Map Prediction
Semi-Supervised Deep Learning for Monocular Depth Map Prediction
Yevhen Kuznietsov
J. Stückler
Bastian Leibe
MDE
SSL
44
668
0
09 Feb 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
38
1,012
0
21 Jan 2017
Learning from Synthetic Humans
Learning from Synthetic Humans
Gül Varol
Javier Romero
Xavier Martin
Naureen Mahmood
Michael J. Black
Ivan Laptev
Cordelia Schmid
3DH
38
963
0
05 Jan 2017
Learning Non-Lambertian Object Intrinsics across ShapeNet Categories
Learning Non-Lambertian Object Intrinsics across ShapeNet Categories
Jian Shi
Yue Dong
Hao Su
Stella X. Yu
28
181
0
27 Dec 2016
Physically-Based Rendering for Indoor Scene Understanding Using
  Convolutional Neural Networks
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks
Yinda Zhang
Shuran Song
Ersin Yumer
Manolis Savva
Joon-Young Lee
Hailin Jin
Thomas Funkhouser
AI4CE
SSL
3DV
3DPC
19
260
0
22 Dec 2016
Beyond Skip Connections: Top-Down Modulation for Object Detection
Beyond Skip Connections: Top-Down Modulation for Object Detection
Abhinav Shrivastava
Rahul Sukthankar
Jitendra Malik
Abhinav Gupta
ObjD
41
320
0
20 Dec 2016
3D Shape Induction from 2D Views of Multiple Objects
3D Shape Induction from 2D Views of Multiple Objects
Matheus Gadelha
Subhransu Maji
Rui Wang
GAN
23
293
0
18 Dec 2016
COCO-Stuff: Thing and Stuff Classes in Context
COCO-Stuff: Thing and Stuff Classes in Context
Holger Caesar
J. Uijlings
V. Ferrari
25
1,360
0
12 Dec 2016
Deep Multi-scale Convolutional Neural Network for Dynamic Scene
  Deblurring
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
Seungjun Nah
Tae Hyun Kim
Kyoung Mu Lee
90
1,951
0
07 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
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
David Vázquez
Jorge Bernal
F. Sánchez
Gloria Fernández-Esparrach
Antonio M. López
Adriana Romero
M. Drozdzal
Aaron Courville
3DV
31
624
0
02 Dec 2016
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel
  Prediction
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
SSL
DRL
31
666
0
29 Nov 2016
What Is Around The Camera?
What Is Around The Camera?
Stamatios Georgoulis
Konstantinos Rematas
Tobias Ritschel
Mario Fritz
Tinne Tuytelaars
Luc Van Gool
DiffM
40
41
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
24
35
0
22 Nov 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,494
0
21 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
107
2,831
0
20 Nov 2016
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage
  Assessment
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment
Nazia Attari
Ferda Ofli
Mohammad Awad
J. Lucas
Sanjay Chawla
52
44
0
20 Nov 2016
Semi-Dense 3D Semantic Mapping from Monocular SLAM
Semi-Dense 3D Semantic Mapping from Monocular SLAM
Xuanpeng Li
R. Belaroussi
29
63
0
13 Nov 2016
Parse Geometry from a Line: Monocular Depth Estimation with Partial
  Laser Observation
Parse Geometry from a Line: Monocular Depth Estimation with Partial Laser Observation
Yiyi Liao
Lichao Huang
Yue Wang
S. Kodagoda
Yinan Yu
Yong-Jin Liu
MDE
38
102
0
17 Oct 2016
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