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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
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
Yun-Chun Chen
Yen-Yu Lin
Ming-Hsuan Yang
Jia-Bin Huang
39
276
0
09 Jan 2020
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video
Vaishakh Patil
Wouter Van Gansbeke
Dengxin Dai
Luc Van Gool
MDE
33
129
0
08 Jan 2020
Lightweight Residual Densely Connected Convolutional Neural Network
Lightweight Residual Densely Connected Convolutional Neural Network
Fahimeh Fooladgar
S. Kasaei
24
13
0
02 Jan 2020
Video Depth Estimation by Fusing Flow-to-Depth Proposals
Video Depth Estimation by Fusing Flow-to-Depth Proposals
Jiaxin Xie
Chenyang Lei
Zhuwen Li
Li Erran Li
Qifeng Chen
MDE
26
25
0
30 Dec 2019
Multi-Modal Attention-based Fusion Model for Semantic Segmentation of
  RGB-Depth Images
Multi-Modal Attention-based Fusion Model for Semantic Segmentation of RGB-Depth Images
Fahimeh Fooladgar
S. Kasaei
27
28
0
25 Dec 2019
A Survey on Deep Learning-based Architectures for Semantic Segmentation
  on 2D images
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images
Irem Ülkü
Erdem Akagündüz
SSeg
42
189
0
21 Dec 2019
DeepSFM: Structure From Motion Via Deep Bundle Adjustment
DeepSFM: Structure From Motion Via Deep Bundle Adjustment
Xingkui Wei
Yinda Zhang
Zhuwen Li
Yanwei Fu
Xiangyang Xue
3DV
14
96
0
20 Dec 2019
Learning Generalizable Visual Representations via Interactive Gameplay
Learning Generalizable Visual Representations via Interactive Gameplay
Luca Weihs
Aniruddha Kembhavi
Kiana Ehsani
Sarah M Pratt
Winson Han
Alvaro Herrasti
Eric Kolve
Dustin Schwenk
Roozbeh Mottaghi
Ali Farhadi
24
9
0
17 Dec 2019
AeroRIT: A New Scene for Hyperspectral Image Analysis
AeroRIT: A New Scene for Hyperspectral Image Analysis
Aneesh Rangnekar
Nilay Mokashi
Emmett Ientilucci
Christopher Kanan
Matthew J. Hoffman
SSeg
14
36
0
17 Dec 2019
LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation
LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation
Taha Emara
H. A. E. Munim
Hazem M. Abbas
SSeg
27
66
0
13 Dec 2019
Waterfall Atrous Spatial Pooling Architecture for Efficient Semantic
  Segmentation
Waterfall Atrous Spatial Pooling Architecture for Efficient Semantic Segmentation
Bruno Artacho
Andreas E. Savakis
SSeg
14
50
0
06 Dec 2019
Deep Stereo using Adaptive Thin Volume Representation with Uncertainty
  Awareness
Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness
Shuo Cheng
Zexiang Xu
Shilin Zhu
Zhuwen Li
Erran L. Li
R. Ramamoorthi
Hao Su
3DV
27
292
0
27 Nov 2019
Predicting Unobserved Space For Planning via Depth Map Augmentation
Predicting Unobserved Space For Planning via Depth Map Augmentation
M. Fehr
Tim Taubner
Yang Liu
Roland Siegwart
Cesar Cadena
28
8
0
13 Nov 2019
Moving Indoor: Unsupervised Video Depth Learning in Challenging
  Environments
Moving Indoor: Unsupervised Video Depth Learning in Challenging Environments
Junsheng Zhou
Yuwang Wang
K. Qin
Wenjun Zeng
MDE
32
63
0
20 Oct 2019
Unsupervised High-Resolution Depth Learning From Videos With Dual
  Networks
Unsupervised High-Resolution Depth Learning From Videos With Dual Networks
Junsheng Zhou
Yuwang Wang
K. Qin
Wenjun Zeng
MDE
29
71
0
20 Oct 2019
Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints
Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints
Yan Xu
Xinge Zhu
Jianping Shi
Guofeng Zhang
Hujun Bao
Hongsheng Li
3DV
22
225
0
15 Oct 2019
FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation
  using Monocular Fisheye Camera for Autonomous Driving
FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving
V. Kumar
S. Hiremath
Stefan Milz
Christian Witt
Clément Pinard
S. Yogamani
Patrick Mäder
MDE
55
73
0
07 Oct 2019
ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation
ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation
Shreeyak S. Sajjan
M. Moore
Mike Pan
Ganesh Nagaraja
Johnny Lee
Andy Zeng
Shuran Song
3DPC
24
219
0
06 Oct 2019
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and
  RGB Semantic Segmentation
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation
Yunlu Chen
Thomas Mensink
Masashi Sugiyama
3DPC
MDE
32
25
0
03 Oct 2019
Real-Time Semantic Stereo Matching
Real-Time Semantic Stereo Matching
Pier Luigi Dovesi
Matteo Poggi
Lorenzo Andraghetti
Miquel Martí
Hedvig Kjellström
Alessandro Pieropan
S. Mattoccia
3DV
24
71
0
01 Oct 2019
Conditional Transferring Features: Scaling GANs to Thousands of Classes
  with 30% Less High-quality Data for Training
Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-quality Data for Training
Chunpeng Wu
W. Wen
Yiran Chen
H. Li
GAN
30
2
0
25 Sep 2019
$360^o$ Surface Regression with a Hyper-Sphere Loss
360o360^o360o Surface Regression with a Hyper-Sphere Loss
Antonis Karakottas
N. Zioulis
Stamatis Samaras
Dimitrios Ataloglou
V. Gkitsas
D. Zarpalas
P. Daras
3DH
22
8
0
16 Sep 2019
Joint Learning of Saliency Detection and Weakly Supervised Semantic
  Segmentation
Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation
Yu Zeng
Yunzhi Zhuge
Huchuan Lu
Lihe Zhang
31
177
0
09 Sep 2019
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and
  Generalist Convolution Kernels
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels
Felix J. S. Bragman
Ryutaro Tanno
Sebastien Ourselin
Daniel C. Alexander
M. Jorge Cardoso
24
86
0
26 Aug 2019
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial
  Cross-Task Distillation
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation
Jogendra Nath Kundu
Nishank Lakkakula
R. Venkatesh Babu
19
59
0
11 Aug 2019
Exploiting temporal consistency for real-time video depth estimation
Exploiting temporal consistency for real-time video depth estimation
Haokui Zhang
Chunhua Shen
Ying Li
Yuanzhouhan Cao
Yu Liu
Youliang Yan
MDE
22
110
0
10 Aug 2019
Semi-Supervised Adversarial Monocular Depth Estimation
Semi-Supervised Adversarial Monocular Depth Estimation
Rongrong Ji
Ke Li
Yan Wang
Xiaoshuai Sun
Feng Guo
Xiaowei Guo
Yongjian Wu
Feiyue Huang
Jiebo Luo
GAN
MDE
27
47
0
06 Aug 2019
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and
  Classification
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification
Lukas Liebel
Marco Körner
3DH
44
26
0
25 Jul 2019
Self-supervised Learning with Geometric Constraints in Monocular Video:
  Connecting Flow, Depth, and Camera
Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera
Yuhua Chen
Cordelia Schmid
C. Sminchisescu
SSL
MDE
34
243
0
12 Jul 2019
Generating All the Roads to Rome: Road Layout Randomization for Improved
  Road Marking Segmentation
Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation
Tom Bruls
Horia Porav
Lars Kunze
Paul Newman
18
6
0
10 Jul 2019
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot
  Cross-dataset Transfer
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
René Ranftl
Katrin Lasinger
David Hafner
Konrad Schindler
V. Koltun
MDE
117
1,750
0
02 Jul 2019
Efficient Multi-Domain Network Learning by Covariance Normalization
Efficient Multi-Domain Network Learning by Covariance Normalization
Yunsheng Li
Nuno Vasconcelos
OOD
22
32
0
24 Jun 2019
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep
  Point Cloud Prediction Networks
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks
Xinchen Yan
Mohi Khansari
Jasmine Hsu
Yuanzheng Gong
Yunfei Bai
Soren Pirk
Honglak Lee
3DPC
19
32
0
21 Jun 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
100
2,372
0
13 Jun 2019
Generating and Exploiting Probabilistic Monocular Depth Estimates
Generating and Exploiting Probabilistic Monocular Depth Estimates
Zhihao Xia
Patrick Sullivan
Ayan Chakrabarti
UQCV
VLM
MDE
22
34
0
13 Jun 2019
Inferring 3D Shapes from Image Collections using Adversarial Networks
Inferring 3D Shapes from Image Collections using Adversarial Networks
Matheus Gadelha
Aartika Rai
Subhransu Maji
Rui Wang
GAN
26
6
0
11 Jun 2019
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic
  Segmentation
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation
Zhenyu Zhang
Zhen Cui
Chunyan Xu
Yan Yan
N. Sebe
Jian Yang
MDE
17
282
0
08 Jun 2019
Deep Robust Single Image Depth Estimation Neural Network Using Scene
  Understanding
Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding
Haoyu Ren
Mostafa El-Khamy
Jungwon Lee
MDE
25
33
0
07 Jun 2019
What Makes Training Multi-Modal Classification Networks Hard?
What Makes Training Multi-Modal Classification Networks Hard?
Weiyao Wang
Du Tran
Matt Feiszli
36
443
0
29 May 2019
Exploring Temporal Information for Improved Video Understanding
Exploring Temporal Information for Improved Video Understanding
Yi Zhu
25
0
0
25 May 2019
Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence
Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence
Dahun Kim
Sanghyun Woo
Joon-Young Lee
In So Kweon
25
23
0
08 May 2019
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying
  Lighting and SVBRDF from a Single Image
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single Image
Zhengqin Li
Mohammad Shafiei
R. Ramamoorthi
Kalyan Sunkavalli
Manmohan Chandraker
3DV
26
260
0
07 May 2019
TriDepth: Triangular Patch-based Deep Depth Prediction
TriDepth: Triangular Patch-based Deep Depth Prediction
Masaya Kaneko
Ken Sakurada
Kiyoharu Aizawa
MDE
3DV
3DPC
22
4
0
03 May 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Priya Goyal
D. Mahajan
Abhinav Gupta
Ishan Misra
SSL
26
396
0
03 May 2019
Student Becoming the Master: Knowledge Amalgamation for Joint Scene
  Parsing, Depth Estimation, and More
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
Jingwen Ye
Yixin Ji
Xinchao Wang
Kairi Ou
Dapeng Tao
Xiuming Zhang
MoMe
24
75
0
23 Apr 2019
AMNet: Deep Atrous Multiscale Stereo Disparity Estimation Networks
AMNet: Deep Atrous Multiscale Stereo Disparity Estimation Networks
Xianzhi Du
Mostafa El-Khamy
Jungwon Lee
3DPC
32
49
0
19 Apr 2019
Attentive Single-Tasking of Multiple Tasks
Attentive Single-Tasking of Multiple Tasks
Kevis-Kokitsi Maninis
Ilija Radosavovic
Iasonas Kokkinos
77
245
0
18 Apr 2019
Recurrent Neural Network for (Un-)supervised Learning of Monocular
  VideoVisual Odometry and Depth
Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth
Rui Wang
Stephen M. Pizer
Jan-Michael Frahm
MDE
22
177
0
15 Apr 2019
Spherical Regression: Learning Viewpoints, Surface Normals and 3D
  Rotations on n-Spheres
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres
Shuai Liao
E. Gavves
Cees G. M. Snoek
24
64
0
10 Apr 2019
Deep Surface Normal Estimation with Hierarchical RGB-D Fusion
Deep Surface Normal Estimation with Hierarchical RGB-D Fusion
Jin Zeng
Yanfeng Tong
Yunmu Huang
Qiong Yan
Wenxiu Sun
J. Chen
Yongtian Wang
3DH
22
68
0
06 Apr 2019
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