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We introduce HybridPose, a novel 6D object pose estimation approach.
An Invitation to 3-D Vision: From Images to Geometric Models
Yi Ma, Stefano Soatto, Jana Kosecka, and S. Shankar Sastry · 2003
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Wei Hong, Allen Yang Yang, Kun Huang, and Yi Ma · 2004
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Epnp: An accurate o (n) solution to the pnp problem
Vincent Lepetit, Francesc Moreno-Noguer, and Pascal Fua · 2009
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Computational symmetry in computer vision and computer graphics
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Using facial symmetry to handle pose variations in real-world 3d face recognition
Georgios Passalis, Panagiotis Perakis, Theoharis Theoharis, and Ioannis A Kakadiaris · 2011
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Scikit-learn: Machine learning in Python
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay · 2011
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Symmetric piecewise planar object reconstruction from a single image
Tianfan Xue, Jianzhuang Liu, and Xiaoou Tang · 2011
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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 · 2013
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Symmetry in 3d geometry: Extraction and applications
Niloy J. Mitra, Mark Pauly, Michael Wand, and Duygu Ceylan · 2013
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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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Adam: A method for stochastic optimization, 2014
Diederik P. Kingma and Jimmy Ba · 2014
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Deepedge: A multi-scale bifurcated deep network for top-down contour detection
Gedas Bertasius, Jianbo Shi, and Lorenzo Torresani · 2015
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Fast r-cnn
Ross Girshick · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Posenet: A convolutional network for real-time 6-dof camera relocalization
Alex Kendall, Matthew Grimes, and Roberto Cipolla · 2015
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Viewpoints and keypoints
Shubham Tulsiani and Jitendra Malik · 2015
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Reflection symmetry detection using locally affine invariant edge correspondence
Zhaozhong Wang, Zesheng Tang, and Xiao Zhang · 2015
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Reflection symmetry detection via appearance of structure descriptor
Ibragim R. Atadjanov and Seungkyu Lee · 2016
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Uncertainty-driven 6d pose estimation of objects and scenes from a single rgb image
Eric Brachmann, Frank Michel, Alexander Krull, Michael Ying Yang, Stefan Gumhold, et al · 2016
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Symmetry-aware depth estimation using deep neural networks
Guilin Liu, Chao Yang, Zimo Li, Duygu Ceylan, and Qixing Huang · 2016
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Learning relaxed deep supervision for better edge detection
Deep model-based 6d pose refinement in rgb
Fabian Manhardt, Wadim Kehl, Nassir Navab, and Federico Tombari · 2018
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Making deep heatmaps robust to partial occlusions for 3d object pose estimation
Markus Oberweger, Mahdi Rad, and Vincent Lepetit · 2018
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Pvnet: Pixel-wise voting network for 6dof pose estimation
Sida Peng, Yuan Liu, Qixing Huang, Hujun Bao, and Xiaowei Zhou · 2018
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Lambda twist: An accurate fast robust perspective three point (p3p) solver
Mikael Persson and Klas Nordberg · 2018
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Implicit 3d orientation learning for 6d object detection from rgb images
Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, and Rudolph Triebel · 2018
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Yu Liu and Michael S Lew · 2016
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Stacked hourglass networks for human pose estimation
Alejandro Newell, Kaiyu Yang, and Jia Deng · 2016
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Realtime multi-person 2d pose estimation using part affinity fields
Zhe Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2017
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollar, and Ross Girshick · 2017
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Flownet 2.0: Evolution of optical flow estimation with deep networks
Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, and Thomas Brox · 2017
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6-dof object pose from semantic keypoints
Georgios Pavlakos, Xiaowei Zhou, Aaron Chan, Konstantinos G Derpanis, and Kostas Daniilidis · 2017
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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
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Bugra Tekin, Sudipta N. Sinha, and Pascal Fua · 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
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Starmap for category-agnostic keypoint and viewpoint estimation
Xingyi Zhou, Arjun Karpur, Linjie Luo, and Qixing Huang · 2018
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Segmentation-driven 6d object pose estimation
Yinlin Hu, Joachim Hugonot, Pascal Fua, and Mathieu Salzmann · 2019
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Cdpn: Coordinates-based disentangled pose network for real-time rgb-based 6-dof object pose estimation
Zhigang Li, Gu Wang, and Xiangyang Ji · 2019
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Explaining the ambiguity of object detection and 6d pose from visual data
Fabian Manhardt, Diego Martin Arroyo, Christian Rupprecht, Benjamin Busam, Tolga Birdal, Nassir Navab, and Federico Tombari · 2019
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Pix2pose: Pixel-wise coordinate regression of objects for 6d pose estimation
Kiru Park, Timothy Patten, and Markus Vincze · 2019
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Densefusion: 6d object pose estimation by iterative dense fusion
Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, and Silvio Savarese · 2019
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Dpod: 6d pose object detector and refiner, 2019
Sergey Zakharov, Ivan Shugurov, and Slobodan Ilic · 2019
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Ppgnet: Learning point-pair graph for line segment detection
Ziheng Zhang, Zhengxin Li, Ning Bi, Jia Zheng, Jinlei Wang, Kun Huang, Weixin Luo, Yanyu Xu, and Shenghua Gao · 2019
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Path-invariant map networks
Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu, Xiaowei Zhou, and Qixing Huang · 2019
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