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ORCIDChih-Wei Lin 0001
Person information
- affiliation: Fujian Agriculture and Forestry University, College of Computer and Information Science, Fuzhou, China
Other persons with the same name
- Chih-Wei Lin (aka: Chihwei Lin) — disambiguation page
- Chih-Wei Lin 0002
![[0009-0005-7439-7199]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0009-0005-7439-7199")
— National Chiao Tung University, Institute of Information Management, Taiwan - Chih-Wei Lin 0003 — University of Edinburgh, School of Engineering, UK
- Chih-Wei Lin 0004 — National Taiwan University, Department of Computer Science and Information Engineering, Graduate Institute of Networking and Multimedia, Taipei, Taiwan
- Chih-Wei Lin 0005 — Feng Chia University (FCU), Graduate Institute of Mechanical Engineering, Taiwan
- Chih-Wei Lin 0006 — Chaoyang University of Technology, Department of Leisure Services Management, Taichung, Taiwan
- Chih-Wei Lin 0007 — Fujian University of Technology, School of Design, China
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2020 – today
- 2026
[j13]Chih-Wei Lin, Shangtai Zhou, Lirong Zhu:
TreeSegNet: multi-scale query-based instance segmentation with frequency-aware and gated feature enhancement. Multim. Syst. 32(2): 74 (2026)- [j12]Chih-Wei Lin, Ye Lin, Zhongsheng Chen:
Multi-modal and unified-scale multi-window fusion attention mechanisms for brain tumor segmentation. Multim. Syst. 32(3): 166 (2026) - 2025
- [j11]Chih-Wei Lin, Ye Lin:
A cross-dimensional synergistic network for brain tumor segmentation. Eng. Appl. Artif. Intell. 160: 111829 (2025) - 2024
- [j10]Chih-Wei Lin, Zhongsheng Chen:
MM-UNet: A novel cross-attention mechanism between modules and scales for brain tumor segmentation. Eng. Appl. Artif. Intell. 133: 108591 (2024) - [j9]Chih-Wei Lin, Ye Lin, Shangtai Zhou, Lirong Zhu:
Gateinst: instance segmentation with multi-scale gated-enhanced queries in transformer decoder. Multim. Syst. 30(5): 252 (2024) - 2023
- [c5]Chih-Wei Lin, Zhongsheng Chen:
U-Shiftformer: Brain Tumor Segmentation Using A Shifted Attention Mechanism. ICASSP 2023: 1-5 - [c4]Chih-Wei Lin, Zhongsheng Chen, Xiuping Huang, Suhui Yang:
Video-Based Precipitation Intensity Recognition Using Dual-Dimension and Dual-Scale Spatiotemporal Convolutional Neural Network. MMM (2) 2023: 496-509 - 2022
- [j8]Chih-Wei Lin, Xiuping Huang, Mengxiang Lin, Sidi Hong:
SF-CNN: Signal Filtering Convolutional Neural Network for Precipitation Intensity Estimation. Sensors 22(2): 551 (2022) - [j7]Chih-Wei Lin, Sidi Hong:
High-order histogram-based local clustering patterns in polar coordinate for facial recognition and retrieval. Vis. Comput. 38(5): 1741-1758 (2022) - 2021
- [j6]Chih-Wei Lin, Yu Hong, Jinfu Liu:
Aggregation-and-Attention Network for brain tumor segmentation. BMC Medical Imaging 21(1): 109 (2021) - [j5]Chih-Wei Lin, Mengxiang Lin, Jinfu Liu:
Object-Part Registration-Fusion Net for Fine-Grained Image Classification. Symmetry 13(10): 1838 (2021) - [c3]Chih-Wei Lin, Suhui Yang:
Geospatial-Temporal Convolutional Neural Network for Video-Based Precipitation Intensity Recognition. ICIP 2021: 1119-1123 - 2020
- [j4]Chih-Wei Lin, Mengxiang Lin, Suhui Yang:
SOPNet Method for the Fine-Grained Measurement and Prediction of Precipitation Intensity Using Outdoor Surveillance Cameras. IEEE Access 8: 188813-188824 (2020)
2010 – 2019
- 2019
- [j3]Chih-Wei Lin, Qilu Ding, Wei-Hao Tu, Jia-Hang Huang, Jin-Fu Liu:
Fourier Dense Network to Conduct Plant Classification Using UAV-Based Optical Images. IEEE Access 7: 17736-17749 (2019) - [j2]Chih-Wei Lin, Wei-Hao Tu, Jin-Fu Liu:
Dual-Flow Structure to Design a Continuous and Compact Nature Reserve. IEEE Access 7: 35220-35230 (2019) - [c2]Chih-Wei Lin, Qilu Ding:
Neuropsychiatric Disorders Identification Using Convolutional Neural Network. MMM (2) 2019: 315-327 - 2018
- [j1]Chih-Wei Lin:
Moving cast shadow detection using scale-relation multi-layer pooling features. J. Vis. Commun. Image Represent. 55: 504-517 (2018) - 2017
- [c1]Chih-Wei Lin:
Scale-Relation Feature for Moving Cast Shadow Detection. MMM (2) 2017: 331-342
Coauthor Index
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last updated on 2026-04-11 00:27 CEST by the dblp team
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