Fushuo Huo (霍赋硕)


Pervasive Intelligence Lab (PEILAB)
Department of Computing (COMP)
The Hong Kong Polytechnic University

Location: PQ Wing, PolyU, Kowloon, Hong Kong SAR.
Research Interest | Education | Publications | Awards

Email: fushuo.huo@connect.polyu.hk;      Phone: +86 18751795276
[Google Scholar] [Wechat]

Research Interest


Education


Publications

[1] F. Huo, W. Xu, J. Guo, H. Wang, and S. Guo, “C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation,” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, in press. (CCF A) [Paper]

[2] F. Huo, W. Xu, S. Guo, J. Guo, H. Wang, and Z. Liu, “PROCC: Progressive cross-primitive consistency for open-world compositional zero-shot learning,” Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024, in press. (CCF A) [Paper]

[3] F. Huo, W. Xu, J. Guo, H. Wang, Y. Fan, and S. Guo, “Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement,” Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024, in press. (CCF A) [Paper]

[4] B. Li, F. Huo* (Corresponding Author), “REQA: Coarse-to-fine Assessment of Image Quality to Alleviate the Range Effect,” Journal of Visual Communication and Image Representation, 2024, in press. (SCI Q2) [Paper]

[5] F. Huo, Z. Liu, J. Guo, W. Xu, and S. Guo, “UTDNet: A unified triplet decoder network for multimodal salient object detection,” Neural Networks, 2023. (SCI Q1) [Paper]

[6] J. Guo, S. Guo, Q. Zhou, Z. Liu, X. Lu, and F. Huo, “Graph knows unknowns: Reformulate zero-shot learning as sample-level graph recognition,” Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023. (CCF A) [Paper]

[7] Z. Liu, S. Guo, X. Lu, J. Guo, J. Zhang, Y. Zeng, and F. Huo, “(ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning,” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. (CCF A) [Paper]

[8] Z. Liu, S. Guo, J. Guo, Y. Xu, and F. Huo, “Towards Unbiased Multi-Label Zero-Shot Learning with Pyramid and Semantic Attention,” IEEE Transactions on Multimedia, 2022. (SCI Q1) [Paper]

[9] F. Huo, X Zhu, and B Li, “Three-stream interaction decoder network for RGB-thermal salient object detection,” Knowledge-Based Systems, 2022. (SCI Q1 ) [Paper]

[10] X. Zhu, Y. Shu, Q. Zhang, and F. Huo, “Spatiotemporal regularization correlation filter with response feedback,” Journal of Electronic Imaging, 2022. (SCI Q3 ) [Paper]

[11] 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, 2022. (SCI Q1 ) [Paper]

[12] 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, 2022. (SCI Q1 ) [Paper]

[13] 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, [Paper]

[14] 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, 2021. (SCI Q2 ) [Paper]

[15] 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, 2020. (SCI Q2 ) [Paper]


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