Jiehong Lin, Hongyang Li, Ke Chen 0004, Jiangbo Lu, Kui Jia. Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 16779-16790, 2021. [doi]
@inproceedings{LinLCLJ21,
title = {Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space},
author = {Jiehong Lin and Hongyang Li and Ke Chen 0004 and Jiangbo Lu and Kui Jia},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/8c1b6fa97c4288a4514365198566c6fa-Abstract.html},
researchr = {https://researchr.org/publication/LinLCLJ21},
cites = {0},
citedby = {0},
pages = {16779-16790},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}