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6D object pose estimation is a prerequisite for many applications.
“Principles of neural science”
Eric Kandel, James Schwartz, Thomas Jessell, Department of Biochemistry, Molecular Biophysics Jessell, Steven Siegelbaum and AJ Hudspeth · 2000
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“Distinctive image features from scale-invariant keypoints”
David Lowe · 2004
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“Averaging quaternions”
F Markley, Yang Cheng, John Crassidis and Yaakov Oshman · 2007
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“Pose tracking from natural features on mobile phones”
Daniel Wagner, Gerhard Reitmayr, Alessandro Mulloni, Tom Drummond and Dieter Schmalstieg · 2008
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“SUN database: Large-scale scene recognition from abbey to zoo”
Jianxiong Xiao, James Hays, Krista Ehinger, Aude Oliva and Antonio Torralba · 2010
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“Gradient response maps for real-time detection of textureless objects”
Stefan Hinterstoisser, Cedric Cagniart, Slobodan Ilic, Peter Sturm, Nassir Navab, Pascal Fua and Vincent Lepetit · 2012
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“Model based training, detection and pose estimation of texture-less 3D objects in heavily cluttered scenes”
Stefan Hinterstoisser, Vincent Lepetit, Slobodan Ilic, Stefan Holzer, Gary Bradski, Kurt Konolige and Nassir Navab · 2012
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“Learning 6D object pose estimation using 3D object coordinates”
Eric Brachmann, Alexander Krull, Frank Michel, Stefan Gumhold, Jamie Shotton and Carsten Rother · 2014
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“Very deep convolutional networks for large-scale image recognition”
Karen Simonyan and Andrew Zisserman · 2014
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“RoboCup@ Home: Analysis and results of evolving competitions for domestic and service robots”
Luca Iocchi, Dirk Holz, Javier Ruiz-del Solar, Komei Sugiura and Tijn Van Der · 2015
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“Learning analysis-by-synthesis for 6D pose estimation in RGB-D images”
Alexander Krull, Eric Brachmann, Frank Michel, Michael Ying, Stefan Gumhold and Carsten Rother · 2015
Cited alongside, same era.
“Fast R-CNN”
Ross Girshick · 2015
Cited alongside, same era.
“Numba: A LLVM-based Python JIT Compiler”
Siu Lam, Antoine Pitrou and Stanley Seibert · 2015
Cited alongside, same era.
“Uncertainty-driven 6D pose estimation of objects and scenes from a single RGB image”
Eric Brachmann, Frank Michel, Alexander Krull, Michael Ying and Stefan Gumhold · 2016
Cited alongside, same era.
“You only look once: Unified, real-time object detection”
Joseph Redmon, Santosh Divvala, Ross Girshick and Ali Farhadi · 2016
Cited alongside, same era.
“ObjectNet3D: A Large Scale Database for 3D Object Recognition”
Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher Choy, Hao Su, Roozbeh Mottaghi, Leonidas Guibas and Silvio Savarese · 2016
“Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image”
Thanh-Toan Do, Ming Cai, Trung Pham and Ian. Reid · 2018
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“PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes”
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan and Dieter Fox · 2018
Later among the works it cites.
“Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation”
Markus Oberweger, Mahdi Rad and Vincent Lepetit · 2018
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“Real-Time Seamless Single Shot 6D Object Pose Prediction”
Bugra Tekin, Sudipta. Sinha and Pascal Fua · 2018
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“Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects”
Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox and Stan Birchfield · 2018
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Cited alongside, same era.
“BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth”
Mahdi Rad and Vincent Lepetit · 2017
Cited alongside, same era.
“iPose: instance-aware 6D pose estimation of partly occluded objects”
Omid Jafari, Siva Mustikovela, Karl Pertsch, Eric Brachmann and Carsten Rother · 2017
Cited alongside, same era.
“Focal loss for dense object detection”
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He and Piotr Doll“’ar · 2017
Cited alongside, same era.
“Automatic differentiation in PyTorch”
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga and Adam Lerer · 2017
Cited alongside, same era.
Mahdi Rad, Markus Oberweger and Vincent Lepetit · 2018
Later among the works it cites.
“DeepIM: Deep Iterative Matching for 6D Pose Estimation”
Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang and Dieter Fox · 2018
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“SilhoNet: An RGB Method for 3D Object Pose Estimation and Grasp Planning”
Gideon Billings and Matthew Johnson-Roberson · 2018
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“PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation”
Sida Peng, Yuan Liu, Qixing Huang, Xiaowei Zhou and Hujun Bao · 2019
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