Recovering 6D Object Pose

CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation

Kartik Gupta,

Lars Petersson,

Richard Hartley

[pdf]

[bibtex]

@InProceedings{Gupta_2019_ICCV_Workshops,
author = {Gupta, Kartik and Petersson, Lars and Hartley, Richard},
title = {CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}

HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects

Roman Kaskman,

Sergey Zakharov,

Ivan Shugurov,

Slobodan Ilic

[pdf]

[bibtex]

@InProceedings{Kaskman_2019_ICCV_Workshops,
author = {Kaskman, Roman and Zakharov, Sergey and Shugurov, Ivan and Ilic, Slobodan},
title = {HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}

Unsupervised Joint 3D Object Model Learning and 6D Pose Estimation for Depth-Based Instance Segmentation

Yuanwei Wu,

Tim Marks,

Anoop Cherian,

Siheng Chen,

Chen Feng,

Guanghui Wang,

Alan Sullivan

[pdf]

[bibtex]

@InProceedings{Wu_2019_ICCV_Workshops,
author = {Wu, Yuanwei and Marks, Tim and Cherian, Anoop and Chen, Siheng and Feng, Chen and Wang, Guanghui and Sullivan, Alan},
title = {Unsupervised Joint 3D Object Model Learning and 6D Pose Estimation for Depth-Based Instance Segmentation},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}

An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Detection

Stefan Hinterstoisser,

Olivier Pauly,

Hauke Heibel,

Marek Martina,

Martin Bokeloh

[pdf]

[bibtex]

@InProceedings{Hinterstoisser_2019_ICCV_Workshops,
author = {Hinterstoisser, Stefan and Pauly, Olivier and Heibel, Hauke and Martina, Marek and Bokeloh, Martin},
title = {An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Detection},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}

A Refined 3D Pose Dataset for Fine-Grained Object Categories

Yaming Wang,

Xiao Tan,

Yi Yang,

Ziyu Li,

Xiao Liu,

Feng Zhou,

Larry S. Davis

[pdf]

[bibtex]

@InProceedings{Wang_2019_ICCV_Workshops,
author = {Wang, Yaming and Tan, Xiao and Yang, Yi and Li, Ziyu and Liu, Xiao and Zhou, Feng and Davis, Larry S.},
title = {A Refined 3D Pose Dataset for Fine-Grained Object Categories},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}

CorNet: Generic 3D Corners for 6D Pose Estimation of New Objects without Retraining

Giorgia Pitteri,

Slobodan Ilic,

Vincent Lepetit

[pdf]

[bibtex]

@InProceedings{Pitteri_2019_ICCV_Workshops,
author = {Pitteri, Giorgia and Ilic, Slobodan and Lepetit, Vincent},
title = {CorNet: Generic 3D Corners for 6D Pose Estimation of New Objects without Retraining},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}

Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement

Bo Chen,

Jiewei Cao,

Alvaro Parra,

Tat-Jun Chin

[pdf]

[bibtex]

@InProceedings{Chen_2019_ICCV_Workshops,
author = {Chen, Bo and Cao, Jiewei and Parra, Alvaro and Chin, Tat-Jun},
title = {Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}