Fangzhou Lin

According to our database, Fangzhou Lin authored at least 21 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

A Strong View-Free Baseline Approach for Single-View Image Guided Point Cloud Completion.

Fangzhou Lin, Zilin Dai, Rigved Sanku, Songlin Hou, Kazunori D. Yamada, Haichong K. Zhang, Ziming Zhang

CoRR, June, 2025

Deep Loss Convexification for Learning Iterative Models.

Ziming Zhang, Yuping Shao, Yiqing Zhang, Fangzhou Lin, Haichong K. Zhang, Elke A. Rundensteiner

IEEE Trans. Pattern Anal. Mach. Intell., March, 2025

A Language Anchor-Guided Method for Robust Noisy Domain Generalization.

Zilin Dai, Lehong Wang, Fangzhou Lin, Yidong Wang, Zhigang Li, Kazunori D. Yamada, Ziming Zhang, Wang Lu

CoRR, March, 2025

Mobile Augmented Reality Framework with Fusional Localization and Pose Estimation.

Songlin Hou, Fangzhou Lin, Yunmei Huang, Zhe Peng, Bin Xiao

CoRR, January, 2025

Informative As-Built Modeling as a Foundation for Digital Twins Based on Fine-Grained Object Recognition and Object-Aware Scan-vs-BIM for MEP Scenes.

Boyu Wang, Fangzhou Lin, Mingkai Li, Zhenyu Liang, Zhengyi Chen, Mingzhu Wang, Jack C. P. Cheng

Adv. Eng. Informatics, 2025

GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching.

Ziming Zhang, Fangzhou Lin, Haotian Liu, Jose Morales, Haichong Zhang, Kazunori D. Yamada, Vijaya B. Kolachalama, Venkatesh Saligrama

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Hyperbolic Chamfer Distance for Point Cloud Completion and Beyond.

Fangzhou Lin, Songlin Hou, Haotian Liu, Shang Gao, Kazunori D. Yamada, Haichong K. Zhang, Ziming Zhang

CoRR, 2024

SPADE: Spectroscopic Photoacoustic Denoising using an Analytical and Data-free Enhancement Framework.

Fangzhou Lin, Shang Gao, Yichuan Tang, Xihan Ma, Ryo Murakami, Ziming Zhang, John Obayemi, Winston (Wole) Oluwole Soboyejo, Haichong K. Zhang

CoRR, 2024

Deep Loss Convexification for Learning Iterative Models.

Ziming Zhang, Yuping Shao, Yiqing Zhang, Fangzhou Lin, Haichong Zhang, Elke A. Rundensteiner

CoRR, 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

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

Fangzhou Lin, Haotian Liu, Haoying Zhou, Songlin Hou, Kazunori D. Yamada, Gregory S. Fischer, Yanhua Li, Haichong K. Zhang, Ziming Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 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 B. 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