王昕
Date of Birth:1988-05-26
Gender:Male
Education Level:Postgraduate (Doctoral)
Alma Mater:Hefei University of Technology
Paper Publications
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Wang Xin*, Xu Junfeng, Ding Jiajia. Polarization-based Camouflaged Object Detection with high-resolution adaptive fusion Network[J]. Engineering Applications of Artificial Intelligence, 2025, 146: 110245 (IF: 8.0).
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Wang Xin*, Zhang Yong, Chen Yanchu. Polarized reflection removal with dual-stream attention guidance[J]. Pattern Recognition, 2025, 157: 110945 (IF: 7.5).
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Wang Xin*, Feng Jin, Ding Jiajia, Gao Jun. Light field salient object detection based on discrete viewpoint selection and multi-feature fusion[J]. The Visual Computer, 2024: 1-16 (IF: 3.0).
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Wang Xin*, Fu Wei, Yu Haichao, Zhang Yong. Effective polarization-based image dehazing through 3D convolution network[J]. Signal, Image and Video Processing, 2024, 18: 463-474 (IF: 2.3).
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Shi Lei, Wang Xin*, Pu Xiankun, Ma Yiming, Han Han, Gao Jun. Polarization angle information enhancement method based on polarimetric array imaging[J]. Applied Optics, 2024, 63(2): 437-444 (IF: 1.9).
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Pu Xiankun, Wang Xin, Gao Xinjian, Wei Chongfeng, Gao Jun. Polarizing Camera Array System Equipment and Calibration Method[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 73: 1-15 (IF: 5.6).
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Wang Xin*, Ding Jiajia, Zhang Zhao, Xu Junfeng, Gao Jun. IPNet: Polarization-based Camouflaged Object Detection via dual-flow network[J]. Engineering Applications of Artificial Intelligence, 2024, 127: 107303 (IF2022: 8.0).
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Pu Xiankun, Wang Xin*, Gao Xinjian, Wei Chongfeng, Gao Jun. Sky Polarization Pattern Reconstruction and Neutral Line Detection Based on Adversarial Learning[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-13 (IF2022: 5.6).
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Wang Xin*, Zhang Zhao, Gao Jun. Polarization-based Camouflaged Object Detection[J]. Pattern Recognition Letters, 2023, 174: 106-111 (IF2022: 5.1).
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Wang Xin*, Zhou Yumin, Gao Jun. Modeling the celestial distribution of skylight polarization patterns by incorporating the influence of both the sun and the moon through an analytical model[J]. Applied Optics, 2023, 62(26): 6993-6999 (IF2022: 1.9).