Fangzhou Lin

According to our database, Fangzhou Lin authored at least 11 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Understanding Hyperbolic Metric Learning through Hard Negative Sampling.

Yun Yue, Fangzhou Lin, Guanyi Mou, Ziming Zhang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Hyperbolic Contrastive Learning.

Yun Yue, Fangzhou Lin, Kazunori D. Yamada, Ziming Zhang

CoRR, 2023

InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion.

Fangzhou Lin, Yun Yue, Ziming Zhang, Songlin Hou, Kazunori D. Yamada, Vijaya Kolachalama, Venkatesh Saligrama

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hyperbolic Chamfer Distance for Point Cloud Completion.

Fangzhou Lin, Yun Yue, Songlin Hou, Xuechu Yu, Yajun Xu, Kazunori D. Yamada, Ziming Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Conditional Feature Learning Based Transformer for Text-Based Person Search.

Chenyang Gao, Guanyu Cai, Xinyang Jiang, Feng Zheng, Jun Zhang, Yifei Gong, Fangzhou Lin, Xing Sun, Xiang Bai

IEEE Trans. Image Process., 2022

An Effective Convolutional Neural Network for Visualized Understanding Transboundary Air Pollution Based on Himawari-8 Satellite Images.

Fangzhou Lin, Chenyang Gao, Kazunori D. Yamada

IEEE Geosci. Remote. Sens. Lett., 2022

FPCC: Fast point cloud clustering-based instance segmentation for industrial bin-picking.

Yajun Xu, Shogo Arai, Diyi Liu, Fangzhou Lin, Kazuhiro Kosuge

Neurocomputing, 2022

Cosmos Propagation Network: Deep learning model for point cloud completion.

Fangzhou Lin, Yajun Xu, Ziming Zhang, Chenyang Gao, Kazunori D. Yamada

Neurocomputing, 2022

Relation is an option for processing context information.

Kazunori D. Yamada, M. Samy Baladram, Fangzhou Lin

Frontiers Artif. Intell., 2022

2020

FPCC-Net: Fast Point Cloud Clustering for Instance Segmentation.

Yajun Xu, Shogo Arai, Diyi Liu, Fangzhou Lin, Kazuhiro Kosuge

CoRR, 2020

2010

New approach for the sequential pattern mining of high-dimensional sequence databases.

Hongyan Liu, Fangzhou Lin, Jun He, Yunjue Cai

Decis. Support Syst., 2010