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Montiel Abello
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2020 – today
- 2021
- [c3]Montiel Abello, Joshua G. Mangelson, Michael Kaess:
A Graph-Based Method for Joint Instance Segmentation of Point Clouds and Image Sequences. ICRA 2021: 9565-9571
2010 – 2019
- 2019
- [c2]Lipu Zhou, Yi Yang, Montiel Abello, Michael Kaess:
A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance. AAAI 2019: 9307-9315 - 2018
- [i2]Sudharshan Suresh, Nathaniel Chodosh, Montiel Abello:
DeepGeo: Photo Localization with Deep Neural Network. CoRR abs/1810.03077 (2018) - [i1]Lipu Zhou, Jiamin Ye, Montiel Abello, Shengze Wang, Michael Kaess:
Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss. CoRR abs/1812.03368 (2018) - 2017
- [c1]Mina Henein, Montiel Abello, Viorela Ila, Robert E. Mahony:
Exploring the effect of meta-structural information on the global consistency of SLAM. IROS 2017: 1616-1623
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