Deep Manifold Embedding for 3D Object Pose Estimation-Reference-Cited by-同舟云学术

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Deep Manifold Embedding for 3D Object Pose Estimation

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
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Author:

Ninomiya Hiroshi¹,Kawanishi Yasutomo¹,Deguchi Daisuke¹,Ide Ichiro¹,Murase Hiroshi¹,Kobori Norimasa²,Nakano Yusuke²

Affiliation:

1. Nagoya University, Japan

2. Toyota Motor Corporation, Japan

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Category-Level Object Pose Estimation in Heavily Cluttered Scenes by Generalized Two-Stage Shape Reconstructor;IEEE Access;2024

2. Best Next-Viewpoint Recommendation by Selecting Minimum Pose Ambiguity for Category-Level Object Pose Estimation;Journal of the Japan Society for Precision Engineering;2021-05-05

3. Median-Shape Representation Learning for Category-Level Object Pose Estimation in Cluttered Environments;2020 25th International Conference on Pattern Recognition (ICPR);2021-01-10

4. Ω-GAN: Object Manifold Embedding GAN for Image Generation by Disentangling Parameters into Pose and Shape Manifolds;2020 25th International Conference on Pattern Recognition (ICPR);2021-01-10

5. Next Viewpoint Recommendation by Pose Ambiguity Minimization for Accurate Object Pose Estimation;Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications;2019

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