Honghui Yang
Honghui Yang
State Key Lab of CAD&CG, Zhejiang University
Vahvistettu sähköpostiosoite verkkotunnuksessa
Sparse fuse dense: Towards high quality 3d detection with depth completion
X Wu, L Peng, H Yang, L Xie, C Huang, C Deng, H Liu, D Cai
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Graph r-cnn: Towards accurate 3d object detection with semantic-decorated local graph
H Yang, Z Liu, X Wu, W Wang, W Qian, X He, D Cai
European Conference on Computer Vision, 662-679, 2022
GD-MAE: generative decoder for MAE pre-training on lidar point clouds
H Yang, T He, J Liu, H Chen, B Wu, B Lin, X He, W Ouyang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Ponder: Point cloud pre-training via neural rendering
D Huang, S Peng, T He, H Yang, X Zhou, W Ouyang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Pvt-ssd: Single-stage 3d object detector with point-voxel transformer
H Yang, W Wang, M Chen, B Lin, T He, H Chen, X He, W Ouyang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Ponderv2: Pave the way for 3d foundataion model with a universal pre-training paradigm
H Zhu, H Yang, X Wu, D Huang, S Zhang, X He, T He, H Zhao, C Shen, ...
arXiv preprint arXiv:2310.08586, 2023
Unipad: A universal pre-training paradigm for autonomous driving
H Yang, S Zhang, D Huang, X Wu, H Zhu, T He, S Tang, H Zhao, Q Qiu, ...
arXiv preprint arXiv:2310.08370, 2023
3d-queryis: A query-based framework for 3d instance segmentation
J Liu, T He, H Yang, R Su, J Tian, J Wu, H Guo, K Xu, W Ouyang
arXiv preprint arXiv:2211.09375, 2022
SparsePoint: Fully End-to-End Sparse 3D Object Detector
Z Liu, G Xu, H Yang, M Chen, K Wu, Z Yang, H Liu, D Cai
arXiv preprint arXiv:2103.10042, 2021
MCS: Multi-Target Masked Point Modeling with Learnable Codebook and Siamese Decoders
Q Qiu, H Yang, W Wang, S Zhang, H Gao, H Ying, W Hua, X He
arXiv preprint arXiv:2309.13235, 2023
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Artikkelit 1–10