Fushuo Huo (霍赋硕) Division of Integrative Systems and Design Hong Kong University of Science and Technology (HKUST) Location: Clear Water Bay, Hong Kong SAR. Research Interest | Education | Publications | Awards Email: fushuo.huo@connect.polyu.hk;      Phone: +86 18751795276 [CV] [GitHub] [ResearchGate] [Wechat]

Research Interest

• Computer Vision: Imag Enhancement, Image Segmentation, 2D/3D Object Detection.
• Machine Learning: Unsupervised Learning, Few/One-Shot Learning, Graph Neural Networks.
• Computational Visual Perception: Visual Saliency, Multi-Modality Fusion.

Education

• 2022.06-Now        Ph.D. , supervised by Prof. Song Guo and Wenchao Xu, The Hong Kong Polytechnic University.        
• 2019.09-2022.06        M.S. , supervised by Prof. Xuegui Zhu and Prof. Lei Zhang, Chongqing University.        
• 2015.09-2019.06        B.S. , (Minor in Finance) China University of Mining and Technology.         

Publications

[1] X. Zhu, Y. Shu, Q. Zhang, and F. Huo, “Spatiotemporal regularization correlation filter with response feedback,” Journal of Electronic Imaging, Volume: 31(4) (SCI Q3 ) [Link]

[2] F. Huo, X. Zhu, Q. Zhang, Z. Liu, and W. Yu, “Real-time One-stream Semantic-guided Refinement Network for RGB-Thermal Salient Object Detection,” IEEE Transactions on Instrumentation and Measurement, Volume: 71 (SCI Q1 ) [Link] [Code]

[3] F. Huo, X. Zhu, L. Zhang, Q. Liu, and Y. Shu, “Efficient Context-Guided Stacked Refinement Network for RGB-T Salient Object Detection,” IEEE Transactions on Circuits and Systems for Video Technology, Volume: 32, Issue: 5, May 2022 (SCI Q1 ) [Link] [Code]

[4] F. Huo, B. Li, X. Zhu, “Efficient Wavelet Boost Learning-Based Multi-stage Progressive Refinement Network for Underwater Image Enhancement,” International Conference on Computer Vision Workshop (ICCVW) in Advances in Image Manipulation, [Link] [Code]

[5] F. Huo, X. Zhu, H. Zeng, Q. Liu, and J. Qiu, “Fast Fusion-Based Dehazing With Histogram Modification and Improved Atmospheric Illumination Prior,” IEEE Sensors Journal, Volume: 21, Issue: 4, 2021. (SCI Q2 ) [Link] [Code]

[6] X. Zhu, Y. Shu, C. Peng, F. Huo, and W. Zhu, “Transient Electromagnetic Voltage Imaging of Dense UXO-Like Targets Based on Improved Mathematical Morphology,” IEEE Access, Volume: 8, 2020. (SCI Q2 ) [Link] [Code]

Awards

• 2022, Excellent Master Thesis, School of Electrical Engineering. | 电气工程学院优秀硕士学位论文
• 2021, National Scholarship of China, Ministry of Education. | 国家奖学金
• 2019, The First-class Academic Scholarship, Chongqing University. | 重庆大学一等奖学金
• 2017, Second Prize of Jiangsu Mathematics Competition. | 江苏省数学竞赛二等奖
• 2016, National Encouragement Scholarship, Ministry of Education. | 国家励志奖学金