Zhijian Liu, Haotian Tang, Yujun Lin, Song Han. Point-Voxel CNN for Efficient 3D Deep Learning. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 963-973, 2019. [doi]
@inproceedings{LiuTLH19,
title = {Point-Voxel CNN for Efficient 3D Deep Learning},
author = {Zhijian Liu and Haotian Tang and Yujun Lin and Song Han},
year = {2019},
url = {http://papers.nips.cc/paper/8382-point-voxel-cnn-for-efficient-3d-deep-learning},
researchr = {https://researchr.org/publication/LiuTLH19},
cites = {0},
citedby = {0},
pages = {963-973},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}