Fangzhou Lin

Orcid: 0000-0002-1749-3599

According to our database1, Fangzhou Lin authored at least 12 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance.
CoRR, 2024

Understanding Hyperbolic Metric Learning through Hard Negative Sampling.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Hyperbolic Contrastive Learning.
CoRR, 2023

InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Conditional Feature Learning Based Transformer for Text-Based Person Search.
IEEE Trans. Image Process., 2022

An Effective Convolutional Neural Network for Visualized Understanding Transboundary Air Pollution Based on Himawari-8 Satellite Images.
IEEE Geosci. Remote. Sens. Lett., 2022

FPCC: Fast point cloud clustering-based instance segmentation for industrial bin-picking.
Neurocomputing, 2022

Cosmos Propagation Network: Deep learning model for point cloud completion.
Neurocomputing, 2022

Relation is an option for processing context information.
Frontiers Artif. Intell., 2022

2020
FPCC-Net: Fast Point Cloud Clustering for Instance Segmentation.
CoRR, 2020

2010
New approach for the sequential pattern mining of high-dimensional sequence databases.
Decis. Support Syst., 2010


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