| FPCC: Fast point cloud clustering-based instance segmentation for industrial bin-picking Y Xu, S Arai, D Liu, F Lin, K Kosuge Neurocomputing 494, 255-268, 2022 | 36 | 2022 |
| Hyperbolic chamfer distance for point cloud completion F Lin, Y Yue, S Hou, X Yu, Y Xu, KD Yamada, Z Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 26 | 2023 |
| Conditional feature learning based transformer for text-based person search C Gao, G Cai, X Jiang, F Zheng, J Zhang, Y Gong, F Lin, X Sun, X Bai IEEE Transactions on Image Processing 31, 6097-6108, 2022 | 15 | 2022 |
| Hyperbolic contrastive learning Y Yue, F Lin, KD Yamada, Z Zhang arXiv preprint arXiv:2302.01409, 2023 | 14 | 2023 |
| Cosmos propagation network: Deep learning model for point cloud completion F Lin, Y Xu, Z Zhang, C Gao, KD Yamada Neurocomputing 507, 221-234, 2022 | 8 | 2022 |
| InfoCD: a contrastive chamfer distance loss for point cloud completion F Lin, Y Yue, Z Zhang, S Hou, K Yamada, V Kolachalama, V Saligrama Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
| An effective convolutional neural network for visualized understanding transboundary air pollution based on Himawari-8 satellite images F Lin, C Gao, KD Yamada IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 4 | 2021 |
| Fpcc-net: Fast point cloud clustering for instance segmentation Y Xu, S Arai, D Liu, F Lin, K Kosuge arXiv preprint arXiv:2012.14618, 2020 | 3 | 2020 |
| Progress in research on implementing machine consciousness K D YAMADA, S Baladram, F Lin Interdisciplinary information sciences 28 (1), 95-105, 2022 | 2 | 2022 |
| Understanding Hyperbolic Metric Learning through Hard Negative Sampling Y Yue, F Lin, G Mou, Z Zhang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| Developing a novel recurrent neural network architecture with fewer parameters and good learning performance K D YAMADA, F Lin, T Nakamura Interdisciplinary information sciences 27 (1), 25-40, 2021 | 1 | 2021 |
| Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance F Lin, H Liu, H Zhou, S Hou, KD Yamada, GS Fischer, Y Li, HK Zhang, ... arXiv preprint arXiv:2409.06171, 2024 | | 2024 |
| Leveraging Superfluous Information in Contrastive Representation Learning Y Xuechu, L Fangzhou, Y Yun, Z Ziming arXiv preprint arXiv:2408.10292, 2024 | | 2024 |
| Relation is an option for processing context information KD Yamada, MS Baladram, F Lin Frontiers in Artificial Intelligence 5, 924688, 2022 | | 2022 |
| Deep learning based model and loss functions design for point cloud completion F Lin Tohoku University, 0 | | |
| Point Cloud Completion with Landau Distribution: A Probabilistic View F Lin, S Hou, H Liu, H Zhou, X Yu, K Yamada, Z Zhang | | |
Ziming ZhangAssistant Professor, Worcester Polytechnic Institute (WPI)在 wpi.edu 的电子邮件经过验证
