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ORCIDFeng Qian 0003
Person information
- affiliation: Chinese Academy of Science, Changchun Institute of Optics Fine Mechanics and Physics, China
Other persons with the same name
- Feng Qian — disambiguation page
- Feng Qian 0001
![[0000-0001-8509-2650]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0001-8509-2650")
— University of Southern California, CA, USA (and 2 more) - Feng Qian 0002 — University of Shanghai for Science and Technology, Shanghai, China
- Feng Qian 0004 — East China University of Science and Technology, MOE Key Laboratory of Advanced Control and Optimization for Chemical Process, Shanghai, China (and 1 more)
- Feng Qian 0005 — University of Electronic Science and Technology of China, UESTC, School of Information and Communication Engineering, Chengdu, China (and 2 more)
- Feng Qian 0006 — Ant Group, Hangzhou, China (and 3 more)
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2020 – today
- 2025
[j6]Peng Chen, Wenxuan He, Feng Qian, Guangyao Shi, Jingwen Yan:
A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification. Digit. Signal Process. 160: 105070 (2025)- [j5]Yuyang Cai, Peng Chen, Feng Qian, Gao Chen, Jingwen Yan:
BotWaveNet: semantic segmentation network for remote sensing images based on wavelet transform and attention mechanisms. J. Electronic Imaging 34(2) (2025) - 2022
- [j4]Jianwei Lv, Feng Qian, Bao Zhang:
Low-light image haze removal with light segmentation and nonlinear image depth estimation. IET Image Process. 16(10): 2623-2637 (2022) - [j3]Haonan Han, Feng Qian, Bao Zhang:
Single-image dehazing using scene radiance constraint and color gradient guided filter. Signal Image Video Process. 16(5): 1297-1304 (2022)
2010 – 2019
- 2018
- [j2]Siqiu Guo, Tao Zhang, YuLong Song, Feng Qian:
Color Feature-Based Object Tracking through Particle Swarm Optimization with Improved Inertia Weight. Sensors 18(4): 1292 (2018) - [j1]Kaiwen Jiang, Feng Qian, Ce Song, Bao Zhang:
An Approach to Overcome Occlusions in Visual Tracking: By Occlusion Estimating Agency and Self-Adapting Learning Rate for Filter's Training. IEEE Signal Process. Lett. 25(12): 1890-1894 (2018)
Coauthor Index
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