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Joint 2D-3D-Semantic Data for Indoor Scene Understanding
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2017
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Iro Armeni
Sasha Sax
Amir Zamir
Silvio Savarese
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5
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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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RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
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2020
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Qingyong Hu
Bo Yang
Linhai Xie
Stefano Rosa
Yulan Guo
Zhihua Wang
Niki Trigoni
Andrew Markham
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ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Statistics
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2019
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Zhiyuan Zhang
BinhâSon Hua
Sai-Kit Yeung
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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
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2017
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Charles R. Qi
Yi Li
Hao Su
Leonidas Guibas
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3
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3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
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2018
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Benjamin Graham
Martin Engelcke
Laurens van der Maaten
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3
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KPConv: Flexible and Deformable Convolution for Point Clouds
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2019
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Hugues Thomas
Charles R. Qi
JeanâEmmanuel Deschaud
Beatriz Marcotegui
François Goulette
Leonidas Guibas
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3
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4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
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2019
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Christopher Choy
JunYoung Gwak
Silvio Savarese
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3
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SEGCloud: Semantic Segmentation of 3D Point Clouds
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2017
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Lyne P. Tchapmi
Christopher Choy
Iro Armeni
JunYoung Gwak
Silvio Savarese
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3
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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2017
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Raffaelli Charles
Hao Su
Kaichun Mo
Leonidas Guibas
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3
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3D ShapeNets: A deep representation for volumetric shapes
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2015
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Zhirong Wu
Shuran Song
Aditya Khosla
Fisher Yu
Linguang Zhang
Xiaoou Tang
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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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Multi-view Convolutional Neural Networks for 3D Shape Recognition
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2015
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Hang Su
Subhransu Maji
Evangelos Kalogerakis
Erik Learned-Miller
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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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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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Deep Parametric Continuous Convolutional Neural Networks
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2018
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Shenlong Wang
Simon Su
Wei-Chiu Ma
Andrei Pokrovsky
Raquel Urtasun
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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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Adam: A Method for Stochastic Optimization
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2014
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Diederik P. Kingma
Jimmy Ba
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Pano Popups: Indoor 3D Reconstruction with a Plane-Aware Network
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2019
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Marc Eder
Pierre Moulon
Li Guan
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Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
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2020
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Huan Lei
Naveed Akhtar
Ajmal Mian
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2
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ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
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2017
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Angela Dai
Anne Lynn S. Chang
Manolis Savva
Maciej Halber
Thomas Funkhouser
Matthias NieĂner
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Densely Connected Convolutional Networks
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2017
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Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
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Matterport3D: Learning from RGB-D Data in Indoor Environments
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2017
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Anne Lynn S. Chang
Angela Dai
Thomas Funkhouser
Maciej Halber
Matthias NieBner
Manolis Savva
Shuran Song
Andy Zeng
Yinda Zhang
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SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
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2018
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Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
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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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OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas
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2018
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Nikolaos Zioulis
Antonis Karakottas
Dimitrios Zarpalas
Petros Daras
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2
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Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling
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2018
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Yiru Shen
Chen Feng
Yaoqing Yang
Dong Tian
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2
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Kernel Transformer Networks for Compact Spherical Convolution
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2019
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Yu-Chuan Su
Kristen Grauman
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2
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Shape Discrimination in the Hippocampus Using an MDL Model
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2003
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Rhodri Davies
Carole Twining
Philip D. Allen
T.F. Cootes
Chris Taylor
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Oriented edge forests for boundary detection
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2015
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Sam Hallman
Charless C. Fowlkes
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Shape analysis of brain ventricles using SPHARM
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2002
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Guido Gerig
Martin Styner
Douglas W. Jones
Daniel R. Weinberger
Jeffrey A. Lieberman
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Identifying global anatomical differences: Deformation-based morphometry
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1998
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Chloe Hutton
R. S. J. Frackowiak
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Learning Deconvolution Network for Semantic Segmentation
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2015
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Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
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Active contours without edges
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2001
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Tony F. Chan
Luminita A. Vese
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A Computational Model of Multidimensional Shape
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Yonggang Shi
Ivo D. Dinov
Washington Mio
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Deep hierarchical parsing for semantic segmentation
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2015
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Abhishek Sharma
Oncel Tuzel
David W. Jacobs
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Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
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2014
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Ross Girshick
Jeff Donahue
Trevor Darrell
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Simple online and realtime tracking with a deep association metric
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2017
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Nicolai Wojke
Alex Bewley
Dietrich Paulus
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Going deeper with convolutions
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2015
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Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
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Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
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2015
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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Quasiconformal TeichmĂŒller Theory
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Cortical cartography using the discrete conformal approach of circle packings
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Ken Stephenson
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Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks
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2017
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Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Pablo ArbelĂĄez
Luc Van Gool
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Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories
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2017
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Jian Shi
Yue Dong
Hao Su
Stella X. Yu
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Metamorphoses Through Lie Group Action
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Pano2Vid: Automatic Cinematography for Watching 360 $$^{\circ }$$ Videos
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2017
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Yu-Chuan Su
Dinesh Jayaraman
Kristen Grauman
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3D Shape Segmentation with Projective Convolutional Networks
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2017
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Evangelos Kalogerakis
Melinos Averkiou
Subhransu Maji
Siddhartha Chaudhuri
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Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs
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2017
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Maxim Tatarchenko
Alexey Dosovitskiy
Thomas Brox
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1
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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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A fast sweeping method for Eikonal equations
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2004
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