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Floors are Flat: Leveraging Semantics for Real-Time Surface Normal
  Prediction

Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction

16 June 2019
Steven Hickson
Karthik Raveendran
Alireza Fathi
Kevin Patrick Murphy
Irfan Essa
ArXivPDFHTML

Papers citing "Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction"

17 / 17 papers shown
Title
PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image
PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image
Chen Liu
Kihwan Kim
Liang Feng
Yasutaka Furukawa
Jan Kautz
3DV
32
220
0
10 Dec 2018
Real-Time Joint Semantic Segmentation and Depth Estimation Using
  Asymmetric Annotations
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations
Vladimir Nekrasov
Thanuja Dharmasiri
Andrew Spek
Tom Drummond
Chunhua Shen
Ian Reid
41
148
0
13 Sep 2018
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for
  Simultaneous Depth Estimation and Scene Parsing
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing
Dan Xu
Wanli Ouyang
Xiaogang Wang
N. Sebe
MoE
32
476
0
11 May 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
86
19,055
0
13 Jan 2018
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic
  Imagery
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery
Zhongzheng Ren
Yong Jae Lee
SSL
OOD
30
212
0
24 Nov 2017
Unsupervised Learning of Geometry with Edge-aware Depth-Normal
  Consistency
Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency
Zhenheng Yang
Peng Wang
Wenyuan Xu
Liang Zhao
Ram Nevatia
3DV
MDE
36
155
0
10 Nov 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
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
Angela Dai
Angel X. Chang
Manolis Savva
Maciej Halber
Thomas Funkhouser
Matthias Nießner
3DPC
3DV
152
3,980
0
14 Feb 2017
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
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
94
673
0
07 Sep 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
8
219
0
05 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
660
192,387
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
503
76,398
0
18 May 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
31
18,520
0
06 Feb 2015
Designing Deep Networks for Surface Normal Estimation
Designing Deep Networks for Surface Normal Estimation
Xinyu Wang
David Fouhey
Abhinav Gupta
3DV
SSL
188
353
0
18 Nov 2014
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
David Eigen
Rob Fergus
VLM
MDE
69
2,674
0
18 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
359
99,915
0
04 Sep 2014
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