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Scene understanding is an active research area.
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
Martin A Fischler and Robert C Bolles · 1981
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A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
Daniel Scharstein and Richard Szeliski · 2002
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High-accuracy stereo depth maps using structured light
Daniel Scharstein and Richard Szeliski · 2003
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Joint bilateral upsampling
Johannes Kopf, Michael F. Cohen, Dani Lischinski, and Matt Uyttendaele · 2007
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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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Indoor scene segmentation using a structured light sensor
Nathan Silberman and Rob Fergus · 2011
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A naturalistic open source movie for optical flow evaluation
Daniel J Butler, Jonas Wulff, Garrett B Stanley, and Michael J Black · 2012
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Sun3d: A database of big spaces reconstructed using sfm and object labels
Jianxiong Xiao, Andrew Owens, and Antonio Torralba · 2013
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A category-level 3d object dataset: Putting the kinect to work
Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T Barron, Mario Fritz, Kate Saenko, and Trevor Darrell · 2013
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Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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Image guided depth upsampling using anisotropic total generalized variation
David Ferstl, Christian Reinbacher, Rene Ranftl, Matthias Rüther, and Horst Bischof · 2013
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High-resolution stereo datasets with subpixel-accurate ground truth
Daniel Scharstein, Heiko Hirschmüller, York Kitajima, Greg Krathwohl, Nera Nešić, Xi Wang, and Porter Westling · 2014
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Shapenet: An information-rich 3d model repository
Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al · 2015
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Sun rgb-d: A rgb-d scene understanding benchmark suite
S Song, S Lichtenberg, and J Xiao · 2015
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3d semantic parsing of large-scale indoor spaces
Iro Armeni, Ozan Sener, Amir R Zamir, Helen Jiang, Ioannis Brilakis, Martin Fischer, and Silvio Savarese · 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
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Pigraphs: Learning interaction snapshots from observations
Manolis Savva, Angel X Chang, Pat Hanrahan, Matthew Fisher, and Matthias Nießner · 2016
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Depth map super-resolution by deep multi-scale guidance
Tak-Wai Hui, Chen Change Loy, , and Xiaoou Tang · 2016
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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 · 2017
Cited alongside, same era.
Matterport3d: Learning from rgb-d data in indoor environments
Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Niessner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang · 2017
Cited alongside, same era.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles R. Qi, Li Yi, Hao Su, and Leonidas J. Guibas · 2017
Cited alongside, same era.
Scalability in perception for autonomous driving: Waymo open dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, et al · 2020
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https://www.apple.com/newsroom/2020/03/apple-unveils-new-ipad-pro-with-lidar-scanner-and-trackpad-support-in-ipados/
2020
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nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
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Structure aware single-stage 3d object detection from point cloud
Chenhang He, Hui Zeng, Jianqiang Huang, Xian-Sheng Hua, and Lei Zhang · 2020
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Hvnet: Hybrid voxel network for lidar based 3d object detection
Maosheng Ye, Shuangjie Xu, and Tongyi Cao · 2020
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Sgpn: Similarity group proposal network for 3d point cloud instance segmentation
Weiyue Wang, Ronald Yu, Qiangui Huang, and Ulrich Neumann · 2018
Cited alongside, same era.
Frustum pointnets for 3d object detection from rgb-d data
Charles R Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J Guibas · 2018
Cited alongside, same era.
Megadepth: Learning single-view depth prediction from internet photos
Zhengqi Li and Noah Snavely · 2018
Cited alongside, same era.
3d-sis: 3d semantic instance segmentation of rgb-d scans
Ji Hou, Angela Dai, and Matthias Nießner · 2019
Cited alongside, same era.
Gspn: Generative shape proposal network for 3d instance segmentation in point cloud
Li Yi, Wang Zhao, He Wang, Minhyuk Sung, and Leonidas J Guibas · 2019
Cited alongside, same era.
Deep hough voting for 3d object detection in point clouds
Charles R Qi, Or Litany, Kaiming He, and Leonidas J Guibas · 2019
Cited alongside, same era.
Partnet: A large-scale benchmark for fine-grained and hierarchical part-level 3d object understanding
Kaichun Mo, Shilin Zhu, Angel X Chang, Li Yi, Subarna Tripathi, Leonidas J Guibas, and Hao Su · 2019
Cited alongside, same era.
Point-gnn: Graph neural network for 3d object detection in a point cloud
Weijing Shi and Raj Rajkumar · 2020
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Mlcvnet: Multi-level context votenet for 3d object detection
Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Yiming Zhang, Kai Xu, and Jun Wang · 2020
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A hierarchical graph network for 3d object detection on point clouds
Jintai Chen, Biwen Lei, Qingyu Song, Haochao Ying, Danny Z. Chen, and Jian Wu · 2020
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Frodo: From detections to 3d objects
Martin Runz, Kejie Li, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, and Richard Newcombe · 2020
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Generative sparse detection networks for 3d single-shot object detection
JunYoung Gwak, Christopher Choy, and Silvio Savarese · 2020
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Pv-rcnn: Point-voxel feature set abstraction for 3d object detection
Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2020
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Objectron: A large scale dataset of object-centric videos in the wild with pose annotations
Adel Ahmadyan, Liangkai Zhang, Jianing Wei, Artsiom Ablavatski, and Matthias Grundmann · 2020
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H3dnet: 3d object detection using hybrid geometric primitives
Zaiwei Zhang, Bo Sun, Haitao Yang, and Qixing Huang · 2020
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Multi-scale progressive fusion learning for depth map super-resolution
Chuhua Xian, Kun Qian, Zitian Zhang, and Charlie CL Wang · 2020
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Group-free 3d object detection via transformers
Ze Liu, Zheng Zhang, Yue Cao, Han Hu, and Xin Tong · 2021
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