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Deeper Depth Prediction with Fully Convolutional Residual Networks
v1v2 (latest)

Deeper Depth Prediction with Fully Convolutional Residual Networks

1 June 2016
Iro Laina
Christian Rupprecht
Vasileios Belagiannis
Federico Tombari
Nassir Navab
    3DVMDE
ArXiv (abs)PDFHTML

Papers citing "Deeper Depth Prediction with Fully Convolutional Residual Networks"

50 / 735 papers shown
Title
SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular
  Depth Estimation
SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation
Michael Ramamonjisoa
Vincent Lepetit
MDE3DH
82
114
0
21 May 2019
Semi-Supervised Monocular Depth Estimation with Left-Right Consistency
  Using Deep Neural Network
Semi-Supervised Monocular Depth Estimation with Left-Right Consistency Using Deep Neural Network
A. Amiri
S. Loo
Kuanqi Cai
MDE
74
56
0
18 May 2019
AutoDispNet: Improving Disparity Estimation With AutoML
AutoDispNet: Improving Disparity Estimation With AutoML
Tonmoy Saikia
Yassine Marrakchi
Arber Zela
Frank Hutter
Thomas Brox
111
79
0
17 May 2019
Thinking Outside the Box: Generation of Unconstrained 3D Room Layouts
Thinking Outside the Box: Generation of Unconstrained 3D Room Layouts
Henry Howard-Jenkins
Shuda Li
V. Prisacariu
3DV
54
16
0
08 May 2019
TriDepth: Triangular Patch-based Deep Depth Prediction
TriDepth: Triangular Patch-based Deep Depth Prediction
Masaya Kaneko
Ken Sakurada
Kiyoharu Aizawa
MDE3DV3DPC
41
4
0
03 May 2019
Improving Visual Relation Detection using Depth Maps
Improving Visual Relation Detection using Depth Maps
Sahand Sharifzadeh
Sina Moayed Baharlou
M. Berrendorf
Rajat Koner
Volker Tresp
71
21
0
02 May 2019
Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised,
  Monocular, Depth Estimation
Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation
M. Goldman
Tal Hassner
S. Avidan
SSLMDE
74
42
0
01 May 2019
Translate-to-Recognize Networks for RGB-D Scene Recognition
Translate-to-Recognize Networks for RGB-D Scene Recognition
Dapeng Du
Limin Wang
Huiling Wang
Kai Zhao
Gangshan Wu
81
50
0
28 Apr 2019
DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences
DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences
Ameya Phalak
Zhao Chen
Darvin Yi
Khushi Gupta
Vijay Badrinarayanan
Andrew Rabinovich
MDE
60
8
0
25 Apr 2019
Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes
Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes
Chaoyang Wang
Simon Lucey
Federico Perazzi
Oliver Wang
MDE3DH
93
113
0
25 Apr 2019
Learning the Depths of Moving People by Watching Frozen People
Learning the Depths of Moving People by Watching Frozen People
Zhengqi Li
Tali Dekel
Forrester Cole
Richard Tucker
Noah Snavely
Ce Liu
William T. Freeman
MDE3DH
139
244
0
25 Apr 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
131
78
0
23 Apr 2019
Deep Optics for Monocular Depth Estimation and 3D Object Detection
Deep Optics for Monocular Depth Estimation and 3D Object Detection
Julie Chang
Gordon Wetzstein
MDE3DPC
99
193
0
18 Apr 2019
Online Adaptation through Meta-Learning for Stereo Depth Estimation
Online Adaptation through Meta-Learning for Stereo Depth Estimation
Zhenyu Zhang
Stéphane Lathuilière
Andrea Pilzer
N. Sebe
Elisa Ricci
Jian Yang
66
20
0
17 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
84
177
0
15 Apr 2019
Absolute Human Pose Estimation with Depth Prediction Network
Absolute Human Pose Estimation with Depth Prediction Network
M. Véges
András Lőrincz
3DH
89
30
0
11 Apr 2019
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning
  from Unknown Cameras
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras
A. Gordon
Hanhan Li
Rico Jonschkowski
A. Angelova
MDE
102
366
0
10 Apr 2019
Learning monocular depth estimation infusing traditional stereo
  knowledge
Learning monocular depth estimation infusing traditional stereo knowledge
Fabio Tosi
Filippo Aleotti
Matteo Poggi
S. Mattoccia
MDE
66
218
0
08 Apr 2019
Noise-Aware Unsupervised Deep Lidar-Stereo Fusion
Noise-Aware Unsupervised Deep Lidar-Stereo Fusion
Xuelian Cheng
Yiran Zhong
Yuchao Dai
Pan Ji
Hongdong Li
3DPC3DV
87
66
0
08 Apr 2019
Planar Geometry and Image Recovery from Motion-Blur
Planar Geometry and Image Recovery from Motion-Blur
Kuldeep Purohit
Subeesh Vasu
M. P. Rao
A. N. Rajagopalan
3DV
42
0
0
07 Apr 2019
Visualization of Convolutional Neural Networks for Monocular Depth
  Estimation
Visualization of Convolutional Neural Networks for Monocular Depth Estimation
Junjie Hu
Yan Zhang
Takayuki Okatani
MDE
130
83
0
06 Apr 2019
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth
José M. Fácil
Benjamin Ummenhofer
Huizhong Zhou
Luis Montesano
Thomas Brox
Javier Civera
MDE
162
141
0
03 Apr 2019
DADA: Depth-aware Domain Adaptation in Semantic Segmentation
DADA: Depth-aware Domain Adaptation in Semantic Segmentation
Tuan-Hung Vu
Himalaya Jain
Max Bucher
Matthieu Cord
P. Pérez
3DV
79
193
0
03 Apr 2019
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth
  Estimation
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation
Shanshan Zhao
Huan Fu
Biwei Huang
Dacheng Tao
MDE
96
174
0
03 Apr 2019
Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by
  a Multi-Task Geometric and Semantic Scene Understanding Approach
Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach
Amir Atapour-Abarghouei
T. Breckon
MDE
65
34
0
26 Mar 2019
Sparse2Dense: From direct sparse odometry to dense 3D reconstruction
Sparse2Dense: From direct sparse odometry to dense 3D reconstruction
Jiexiong Tang
John Folkesson
Patric Jensfelt
MDE
63
17
0
21 Mar 2019
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised
  Monocular Depth Prediction
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction
A. Wong
Byung-Woo Hong
Stefano Soatto
MDE
110
90
0
18 Mar 2019
Image Classification base on PCA of Multi-view Deep Representation
Image Classification base on PCA of Multi-view Deep Representation
Yaoqi Sun
Liang Li
Liang Zheng
Ji Hu
Yatong Jiang
C. Yan
42
35
0
12 Mar 2019
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge
  Distillation for Unsupervised Monocular Depth Estimation
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation
Andrea Pilzer
Stéphane Lathuilière
N. Sebe
Elisa Ricci
MDE
116
135
0
11 Mar 2019
Mix and match networks: cross-modal alignment for zero-pair
  image-to-image translation
Mix and match networks: cross-modal alignment for zero-pair image-to-image translation
Yaxing Wang
Luis Herranz
Joost van de Weijer
70
4
0
08 Mar 2019
FastDepth: Fast Monocular Depth Estimation on Embedded Systems
FastDepth: Fast Monocular Depth Estimation on Embedded Systems
Diana Wofk
Fangchang Ma
Tien-Ju Yang
S. Karaman
Vivienne Sze
MDE
98
298
0
08 Mar 2019
Self-supervised Learning for Single View Depth and Surface Normal
  Estimation
Self-supervised Learning for Single View Depth and Surface Normal Estimation
Huangying Zhan
C. Weerasekera
Ravi Garg
Ian Reid
MDESSL
73
28
0
01 Mar 2019
Single-Image Piece-wise Planar 3D Reconstruction via Associative
  Embedding
Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding
Zehao Yu
Jia Zheng
Dongze Lian
Zihan Zhou
Shenghua Gao
3DV
139
92
0
26 Feb 2019
Dense Depth Estimation in Monocular Endoscopy with Self-supervised
  Learning Methods
Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods
Xingtong Liu
Ayushi Sinha
M. Ishii
Gregory Hager
A. Reiter
Russell H. Taylor
Mathias Unberath
MDE
137
127
0
20 Feb 2019
2017 Robotic Instrument Segmentation Challenge
2017 Robotic Instrument Segmentation Challenge
M. Allan
Alexey A. Shvets
T. Kurmann
Zichen Zhang
Rahul Duggal
...
Jian Yang
Danail Stoyanov
Lena Maier-Hein
Stefanie Speidel
M. Azizian
89
231
0
18 Feb 2019
Sparse and noisy LiDAR completion with RGB guidance and uncertainty
Sparse and noisy LiDAR completion with RGB guidance and uncertainty
Wouter Van Gansbeke
D. Neven
Bert De Brabandere
Luc Van Gool
3DV
80
251
0
14 Feb 2019
Automatic Labeled LiDAR Data Generation based on Precise Human Model
Automatic Labeled LiDAR Data Generation based on Precise Human Model
Wonjik Kim
Masayuki Tanaka
Masatoshi Okutomi
Y. Sasaki
3DH
22
6
0
14 Feb 2019
Gated2Depth: Real-time Dense Lidar from Gated Images
Gated2Depth: Real-time Dense Lidar from Gated Images
Tobias Gruber
Frank D. Julca-Aguilar
Mario Bijelic
W. Ritter
Klaus C. J. Dietmayer
Felix Heide
MDE
46
62
0
13 Feb 2019
Fully Convolutional Networks for Monocular Retinal Depth Estimation and
  Optic Disc-Cup Segmentation
Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation
Sharath M. Shankaranarayana
Keerthi Ram
Kaushik Mitra
M. Sivaprakasam
MedIm
47
59
0
04 Feb 2019
Attention-based Context Aggregation Network for Monocular Depth
  Estimation
Attention-based Context Aggregation Network for Monocular Depth Estimation
Yuru Chen
Haitao Zhao
Zhengwei Hu
56
94
0
29 Jan 2019
Unsupervised Learning-based Depth Estimation aided Visual SLAM Approach
Unsupervised Learning-based Depth Estimation aided Visual SLAM Approach
Mingyang Geng
SuNing Shang
Bo Ding
Huaimin Wang
Pengfei Zhang
Lei Zhang
MDE
71
21
0
22 Jan 2019
Monocular Outdoor Semantic Mapping with a Multi-task Network
Monocular Outdoor Semantic Mapping with a Multi-task Network
Yucai Bai
Lei Fan
Ziyu Pan
Long Chen
29
0
0
17 Jan 2019
What Should I Do Now? Marrying Reinforcement Learning and Symbolic
  Planning
What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning
Daniel Gordon
Dieter Fox
Ali Farhadi
80
20
0
06 Jan 2019
Mid-Level Visual Representations Improve Generalization and Sample
  Efficiency for Learning Visuomotor Policies
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies
Alexander Sax
Bradley Emi
Amir Zamir
Leonidas Guibas
Silvio Savarese
Jitendra Malik
SSL
93
16
0
31 Dec 2018
High Quality Monocular Depth Estimation via Transfer Learning
High Quality Monocular Depth Estimation via Transfer Learning
Ibraheem Alhashim
Peter Wonka
MDE3DV
84
461
0
31 Dec 2018
Unsupervised monocular stereo matching
Unsupervised monocular stereo matching
Zhimin Zhang
Jianzhong Qiao
Shukuan Lin
MDE
23
0
0
31 Dec 2018
RegNet: Learning the Optimization of Direct Image-to-Image Pose
  Registration
RegNet: Learning the Optimization of Direct Image-to-Image Pose Registration
Lei Han
Mengqi Ji
Lu Fang
Matthias Nießner
57
18
0
26 Dec 2018
Plug-and-Play: Improve Depth Estimation via Sparse Data Propagation
Plug-and-Play: Improve Depth Estimation via Sparse Data Propagation
Tsun-Hsuan Wang
Fu-En Wang
Juan-Ting Lin
Yi-Hsuan Tsai
Wei-Chen Chiu
Min Sun
MDE
87
25
0
20 Dec 2018
Learning Common Representation from RGB and Depth Images
Learning Common Representation from RGB and Depth Images
Giorgio Giannone
Boris Chidlovskii
3DVMDE
13
8
0
17 Dec 2018
A Parametric Top-View Representation of Complex Road Scenes
A Parametric Top-View Representation of Complex Road Scenes
Ziyan Wang
Buyu Liu
S. Schulter
Manmohan Chandraker
AI4TS
75
45
0
14 Dec 2018
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