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Geometry Meets Semantics for Semi-supervised Monocular Depth Estimation
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2019
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Pierluigi Zama Ramirez
Matteo Poggi
Fabio Tosi
Stefano Mattoccia
Luigi Di Stefano
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4
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Towards Real-Time Unsupervised Monocular Depth Estimation on CPU
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2018
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Matteo Poggi
Filippo Aleotti
Fabio Tosi
Stefano Mattoccia
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3
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The Cityscapes Dataset for Semantic Urban Scene Understanding
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2016
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Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
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3
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Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture
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2015
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David Eigen
Rob Fergus
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2
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Conditional Random Fields as Recurrent Neural Networks
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2015
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Shuai Zheng
Sadeep Jayasumana
Bernardino Romera‐Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip H. S. Torr
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2
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Deep Residual Learning for Image Recognition
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2016
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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2
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Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
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2018
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Roberto Cipolla
Yarin Gal
Alex Kendall
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2
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Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields
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2015
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Fayao Liu
Chunhua Shen
Guosheng Lin
Ian Reid
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2
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Fully convolutional networks for semantic segmentation
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2015
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Jonathan Long
Evan Shelhamer
Trevor Darrell
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2
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GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
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2018
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Zhichao Yin
Jianping Shi
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2
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Deeper Depth Prediction with Fully Convolutional Residual Networks
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2016
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Iro Laina
Christian Rupprecht
Vasileios Belagiannis
Federico Tombari
Nassir Navab
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2
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Group-Wise Correlation Stereo Network
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2019
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Xiaoyang Guo
Kai Yang
Wukui Yang
Xiaogang Wang
Hongsheng Li
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2
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Pyramid Stereo Matching Network
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2018
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Jia-Ren Chang
Yong‐Sheng Chen
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2
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Learning Depth from Monocular Videos Using Direct Methods
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2018
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Chaoyang Wang
José M. Buenaposada
Rui Zhu
Simon Lucey
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2
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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2014
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Karen Simonyan
Andrew Zisserman
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2
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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
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2017
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Vijay Badrinarayanan
A. C. Kendall
Roberto Cipolla
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2
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Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
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2018
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Reza Mahjourian
Martin Wicke
Anelia Angelova
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2
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Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation
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2018
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Dan Xu
Wei Wang
Hao Tang
Hong Liu
Nicu Sebe
Elisa Ricci
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2
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Single View Stereo Matching
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2018
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Yue Luo
Jimmy Ren
Mude Lin
Jiahao Pang
Wenxiu Sun
Hongsheng Li
Liang Lin
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2
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Propagating Confidences through CNNs for Sparse Data Regression
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2018
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Abdelrahman Eldesokey
Michael Felsberg
Fahad Shahbaz Khan
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2
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Adam: A Method for Stochastic Optimization
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2014
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Diederik P. Kingma
Jimmy Ba
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2
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Improving Semantic Segmentation via Video Propagation and Label Relaxation
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2019
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Yi Zhu
Karan Sapra
Fitsum A. Reda
Kevin J. Shih
Shawn Newsam
Andrew Tao
Bryan Catanzaro
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2
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Anytime Stereo Image Depth Estimation on Mobile Devices
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2019
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Yan Wang
Zihang Lai
Gao Huang
Brian H. Wang
Laurens van der Maaten
Mark Campbell
Kilian Q. Weinberger
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2
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Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation
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2019
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Andrea Pilzer
Stéphane Lathuilière
Nicu Sebe
Elisa Ricci
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2
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Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge
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2020
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Filippo Aleotti
Matteo Poggi
Fabio Tosi
Stefano Mattoccia
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2
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Distilled Semantics for Comprehensive Scene Understanding from Videos
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2020
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Fabio Tosi
Filippo Aleotti
Pierluigi Zama Ramirez
Matteo Poggi
Samuele Salti
Luigi Di Stefano
Stefano Mattoccia
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2
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Fast-SCNN: Fast Semantic Segmentation Network.
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2019
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Rudra P. K. Poudel
Stephan Liwicki
Roberto Cipolla
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2
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A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
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2016
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N. Michael Mayer
Eddy Ilg
Philip Häusser
Philipp Fischer
Daniel Cremers
Alexey Dosovitskiy
Thomas Brox
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2
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ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras
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2017
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Raul Mur-Artal
Juan D. Tardós
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2
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DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation From Stereo Imagery
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2019
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Junming Zhang
Katherine A. Skinner
Ram Vasudevan
Matthew Johnson‐Roberson
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2
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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
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2017
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Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Murphy
Alan Yuille
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2
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ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
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2016
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Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
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2
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Unsupervised Monocular Depth Estimation with Left-Right Consistency
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2017
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Clément Godard
Oisin Mac Aodha
Gabriel Brostow
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2
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Pyramid Scene Parsing Network
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2017
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Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
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2
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RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation
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2017
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Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
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2
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Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling
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2017
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Spyros Gidaris
Nikos Komodakis
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2
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Understanding Convolution for Semantic Segmentation
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2018
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Panqu Wang
Pengfei Chen
Ye Yuan
Ding Liu
Zehua Huang
Xiaodi Hou
Garrison W. Cottrell
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2
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End-to-End Learning of Geometry and Context for Deep Stereo Regression
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2017
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Alex Kendall
Hayk Martirosyan
Saumitro Dasgupta
Peter Henry
Ryan Kennedy
Abraham Bachrach
Adam Bry
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2
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CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction
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2017
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Keisuke Tateno
Federico Tombari
Iro Laina
Nassir Navab
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2
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Unsupervised Learning of Depth and Ego-Motion from Video
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2017
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Tinghui Zhou
Matthew Brown
Noah Snavely
David Lowe
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2
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Pixel-wise Attentional Gating for Parsimonious Pixel Labeling
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2018
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Shu Kong
Charless C. Fowlkes
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2
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Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry
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2018
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Nan Yang
Rui Wang
Jörg Stückler
Daniel Cremers
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2
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Learning Monocular Depth by Distilling Cross-Domain Stereo Networks
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2018
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Xiaoyang Guo
Hongsheng Li
Shuai Yi
Jimmy Ren
Xiaogang Wang
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2
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BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmentation
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2018
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Changqian Yu
Jingbo Wang
Chao Peng
Changxin Gao
Gang Yu
Nong Sang
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2
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SegStereo: Exploiting Semantic Information for Disparity Estimation
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2018
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Guorun Yang
Hengshuang Zhao
Jianping Shi
Zhidong Deng
Jiaya Jia
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2
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Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation
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2018
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Eddy Ilg
Tonmoy Saikia
Margret Keuper
Thomas Brox
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2
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Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions
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2018
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Matteo Poggi
Fabio Tosi
Stefano Mattoccia
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2
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DF-Net: Unsupervised Joint Learning of Depth and Flow Using Cross-Task Consistency
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2018
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Yuliang Zou
Zelun Luo
Jia‐Bin Huang
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2
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Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge
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2019
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Fabio Tosi
Filippo Aleotti
Matteo Poggi
Stefano Mattoccia
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2
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Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
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2014
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David Eigen
Christian Puhrsch
Rob Fergus
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2
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