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Semantic scene understanding is important for various applications.
Using spin images for effcient object recognition in cluttered 3D scenes
Andrew E. Johnson and Martial Hebert · 1999
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Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
Dragomir Anguelov, Ben Taskar, Vassil Chatalbashev, Daphne Koller, Dinkar Gupta, Geremy Heitz, and Andrew Ng · 2005
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Robust 3D Scan Point Classification using Associative Markov Networks
Rudolph Triebel, Krisitian Kersting, and Wolfram Burgard · 2006
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Directional Associative Markov Network for 3-D Point Cloud Classification
Daniel Munoz, Nicholas Vandapel, and Marial Hebert · 2008
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MMM-classification of 3D Range Data
Anuraag Agrawal, Atsushi Nakazawa, and Haruo Takemura · 2009
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ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2009
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ImageNet: A Large-Scale Hierarchical Image Database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Contextual Classification with Functional Max-Margin Markov Networks
Daniel Munoz, J. Andrew Bagnell, Nicolas Vandapel, and Martial Hebert · 2009
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Onboard Contextual Classification of 3-D Point Clouds with Learned High-order Markov Random Fields
Daniel Munoz, Nicholas Vandapel, and Martial Hebert · 2009
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Learning to Hash Logistic Regression for Fast 3D Scan Point Classification
Jens Behley, Kristian Kersting, Dirk Schulz, Volker Steinhage, and Armin B. Cremers · 2010
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Robust Place Recognition for 3D Range Data based on Point Features
Bastian Steder, Giorgio Grisetti, and Wolfram Burgard · 2010
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Unbiased Look at Dataset Bias
Antonio Torralba and Alexei A. Efros · 2011
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3-D Scene Analysis via Sequenced Predictions over Points and Regions
Xuehan Xiong, Daniel Munoz, J. Andrew Bagnell, and Martial Hebert · 2011
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Performance of Histogram Descriptors for the Classification of 3D Laser Range Data in Urban Environments
Jens Behley, Volker Steinhage, and Armin B. Cremers · 2012
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Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Indoor Segmentation and Support Inference from RGBD Images
Nathan Silberman, Derek Hoiem, Pushmeet Kohli, and Rob Fergus · 2012
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ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang, Thomas Funkhouser, Leonidas J. Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, and Fisher Yu · 2015
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The Pascal Visual Object Classes Challenge – a Retrospective
Mark Everingham, S.M. Ali Eslami, Luc van Gool, Christopher K.I. Williams, John Winn, and Andrew Zisserman · 2015
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Joint 3d Object and Layout Inference from a single RGB-D Image
Andres Geiger and Chaohui Wang · 2015
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VoxNet: A 3D Convolutional Neural Network for Real-Time Object Recognition
Daniel Maturana and Sebastian Scherer · 2015
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Completing 3D Object Shape from One Depth Image
Jason Rock, Tanmay Gupta, Justin Thorsen, JunYoung Gwak, Daeyun Shin, and Derek Hoiem · 2015
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Sensor Fusion for Semantic Segmentation of Urban Scenes
Richard Zhang, Stefan A. Candra, Kai Vetter, and Avideh Zakhor · 2015
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The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
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Structured Prediction of Unobserved Voxels From a Single Depth Image
Michael Firman, Oisin Mac Aodha, Simon Julier, and Gabriel J. Brostow · 2016
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Virtual Worlds as Proxy for Multi-Object Tracking Analysis
Adrien Gaidon, Qiao Wang, Yohann Cabon, and Eleonora Vig · 2016
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SceneNN: A Scene Meshes Dataset with aNNotations
Binh-Son Hua, Quang-Hieu Pham, Duc Thanh Nguyen, Minh-Khoi Tran, Lap-Fai Yu, and Sai-Kit Yeung · 2016
Cited alongside, same era.
Point Cloud Labeling using 3D Convolutional Neural Network
Jing Huang and Suya You · 2016
Cited alongside, same era.
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jürgen Sturm, and Matthias Nießner · 2018
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Know What Your Neighbors Do: 3D Semantic Segmentation of Point Clouds
Francis Engelmann, Theodora Kontogianni, Jonas Schult, and Bastian Leibe · 2018
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3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
Benjamin Graham, Martin Engelcke, and Laurens van der Maaten · 2018
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Flex-Convolution (Million-Scale Pointcloud Learning Beyond Grid-Worlds)
Fabian Groh, Patrick Wieschollek, and Hendrik Lensch · 2018
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Pointwise Convolutional Neural Networks
Binh-Son Hua, Minh-Khoi Tran, and Sai-Kit Yeung · 2018
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PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation
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Varun Jampani, Martin Kiefel, and Peter V. Gehler · 2016
Cited alongside, same era.
The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes
German Ros, Laura Sellart, Joanna Materzynska, David Vazquez, and Antonio Lopez · 2016
Cited alongside, same era.
Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer
Jun Xie, Martin Kiefel, Ming-Ting Sun, and Andreas Geiger · 2016
Cited alongside, same era.
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Iro Armeni, Alexander Sax, Amir R. Zamir, and Silvio Savarese · 2017
Cited alongside, same era.
SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks
Alexandre Boulch, Joris Guerry, Bertrand Le Saux, and Nicolas Audebert · 2017
Cited alongside, same era.
SEMANTIC3D.NET: A new large-scale point cloud classification benchmark
Timo Hackel, Nikolay Savinov, Lubor Ladicky, Jan D. Wegner, Konrad Schindler, and Marc Pollefeys · 2017
Cited alongside, same era.
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
Roman Klukov and Victor Lempitsky · 2017
Cited alongside, same era.
Mingyang Jiang, Yiran Wu, and Cewu Lu · 2018
Later among the works it cites.
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Loic Landrieu and Martin Simonovsky · 2018
Later among the works it cites.
InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset
Wenbin Li, Sajad Saeedi, John McCormac, Ronald Clark, Dimos Tzoumanikas, Qing Ye, Yuzhong Huang, Rui Tang, and Stefan Leutenegger · 2018
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See and Think: Disentangling Semantic Scene Completion
Shice Liu, Yu Hu, Yiming Zeng, Qiankun Tang, Beibei Jin, Yainhe Han, and Xiaowei Li · 2018
Later among the works it cites.
YOLOv3: An Incremental Improvement
Joseph Redmon and Ali Farhadi · 2018
Later among the works it cites.
Fully-Convolutional Point Networks for Large-Scale Point Clouds
Dario Rethage, Johanna Wald, Jürgen Sturm, Nassir Navab, and Frederico Tombari · 2018
Later among the works it cites.
Paris-Lille-3D: A large and high-quality ground-truth urban point cloud dataset for automatic segmentation and classification
Xavier Roynard, Jean-Emmanuel Deschaud, and Francois Goulette · 2018
Later among the works it cites.
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, and Jan Kautz · 2018
Later among the works it cites.
Tangent Convolutions for Dense Prediction in 3D
Maxim Tatarchenko, Jaesik Park, Vladen Koltun, and Qian-Yi Zhou · 2018
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RGCNN: Regularized Graph CNN for Point Cloud Segmentation
Gusi Te, Wei Hu, Zongming Guo, and Amin Zheng · 2018
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Deep Parametric Continuous Convolutional Neural Networks
Shenlong Wang, Simon Suo, Wei-Chiu Ma, Andrei Pokrovsky, and Raquel Urtasun · 2018
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Adversarial Semantic Scene Completion from a Single Depth Image
Yida Wang, Davod Tan Joseph, Nassir Navab, and Frederico Tombari · 2018
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VoxSegNet: Volumetric CNNs for Semantic Part Segmentation of 3D Shapes
Zongji Wang and Feng Lu · 2018
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SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud
Bichen Wu, Alvin Wan, Xiangyu Yue, and Kurt Keutzer · 2018
Later among the works it cites.
Efficient Semantic Scene Completion Network with Spatial Group Convolution
Jiahui Zhang, Hao Zhao, Anbang Yao, Yurong Chen, Li Zhang, and Hongen Liao · 2018
Later among the works it cites.
Two Stream 3D Semantic Scene Completion
Martin Garbade, Yueh-Tung Chen, J. Sawatzky, and Juergen Gall · 2019
Closest in time.
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
Bichen Wu, Xuanyu Zhou, Sicheng Zhao, Xiangyu Yue, and Kurt Keutzer · 2019
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