Fast Uncertainty Quantification for Deep Object Pose Estimation
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Yuke Zhu | Jonathan Tremblay | Animashree Anandkumar | Guanya Shi | Stan Birchfield | Yifeng Zhu | Fabio Ramos | Anima Anandkumar | Yuke Zhu | Guanya Shi | Stan Birchfield | F. Ramos | Jonathan Tremblay | Yifeng Zhu
[1] Nando de Freitas,et al. An Introduction to MCMC for Machine Learning , 2004, Machine Learning.
[2] Oliver Kroemer,et al. Camera-to-Robot Pose Estimation from a Single Image , 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).
[3] V. Lepetit,et al. EPnP: An Accurate O(n) Solution to the PnP Problem , 2009, International Journal of Computer Vision.
[4] Hujun Bao,et al. PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Dieter Fox,et al. Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects , 2018, CoRL.
[6] Manolis I. A. Lourakis,et al. T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-Less Objects , 2017, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).
[7] Slobodan Ilic,et al. DPOD: Dense 6D Pose Object Detector in RGB images , 2019, ArXiv.
[8] Pascal Fua,et al. Real-Time Seamless Single Shot 6D Object Pose Prediction , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[9] Vincent Lepetit,et al. Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes , 2012, ACCV.
[10] Jungwon Seo,et al. Shallow-Depth Insertion: Peg in Shallow Hole Through Robotic In-Hand Manipulation , 2019, IEEE Robotics and Automation Letters.
[11] Roland Siegwart,et al. The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation , 2019, International Journal of Computer Vision.
[12] Jan Hauke,et al. Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data , 2011 .
[13] Silvio Savarese,et al. DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Andrew Zisserman,et al. Sim2real transfer learning for 3D human pose estimation: motion to the rescue , 2019, NeurIPS.
[15] Kuan-Ting Yu,et al. Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[16] Nassir Navab,et al. 6D Object Pose Estimation with Depth Images: A Seamless Approach for Robotic Interaction and Augmented Reality , 2017, ArXiv.
[17] John Schulman,et al. Concrete Problems in AI Safety , 2016, ArXiv.
[18] Slobodan Ilic,et al. DPOD: 6D Pose Object Detector and Refiner , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[19] Gang Yu,et al. Rethinking on Multi-Stage Networks for Human Pose Estimation , 2019, ArXiv.
[20] Dong Liu,et al. Deep High-Resolution Representation Learning for Human Pose Estimation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Timothy Bretl,et al. PoseRBPF: A Rao–Blackwellized Particle Filter for 6-D Object Pose Tracking , 2019, IEEE Transactions on Robotics.
[22] Zoltan-Csaba Marton,et al. Implicit 3D Orientation Learning for 6D Object Detection from RGB Images , 2018, ECCV.
[23] Dieter Fox,et al. Human Grasp Classification for Reactive Human-to-Robot Handovers , 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[24] T. Başar,et al. A New Approach to Linear Filtering and Prediction Problems , 2001 .
[25] Masayoshi Tomizuka,et al. Robot Safe Interaction System for Intelligent Industrial Co-Robots , 2018, ArXiv.
[26] Dieter Fox,et al. PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes , 2017, Robotics: Science and Systems.
[27] David H. Wolpert,et al. Stacked generalization , 1992, Neural Networks.
[28] Davide Scaramuzza,et al. A General Framework for Uncertainty Estimation in Deep Learning , 2020, IEEE Robotics and Automation Letters.
[29] Varun Ramakrishna,et al. Convolutional Pose Machines , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Pascal Fua,et al. Segmentation-Driven 6D Object Pose Estimation , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Dieter Fox,et al. DexPilot: Vision-Based Teleoperation of Dexterous Robotic Hand-Arm System , 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).
[32] Ken Goldberg,et al. A Fog Robotic System for Dynamic Visual Servoing , 2019, 2019 International Conference on Robotics and Automation (ICRA).
[33] Dieter Fox,et al. Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning , 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).
[34] Rui Chen,et al. GRIP: Generative Robust Inference and Perception for Semantic Robot Manipulation in Adversarial Environments , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[35] Jingpei Lu,et al. Robust Keypoint Detection and Pose Estimation of Robot Manipulators with Self-Occlusions via Sim-to-Real Transfer , 2020, ArXiv.
[36] Michael I. Jordan,et al. An Introduction to Variational Methods for Graphical Models , 1999, Machine Learning.
[37] Zoubin Ghahramani,et al. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning , 2015, ICML.
[38] Yaser Sheikh,et al. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[39] Charles Blundell,et al. Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles , 2016, NIPS.
[40] Luc Van Gool,et al. Real-time 3D Traffic Cone Detection for Autonomous Driving , 2019, 2019 IEEE Intelligent Vehicles Symposium (IV).
[41] Jianliang Tang,et al. Complete Solution Classification for the Perspective-Three-Point Problem , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[42] Yichen Wei,et al. Simple Baselines for Human Pose Estimation and Tracking , 2018, ECCV.
[43] Stephen Tyree,et al. Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).