基本信息
姓名：黄源飞
办公室地址：昌平校区人工智能学院526
电子邮箱：yfhuang@bnu.edu.cn
研究领域
底层视觉处理，红外成像
教育背景
2012.09-2016.06，河北工业大学 通信工程专业，学士
2016.09-2021.06，西安电子科技大学 电子科学与技术专业，博士
工作经历
2021.06- ，北京师范大学人工智能学院，博士后
学术代表成果
1. Huang Y, Li J, Hu Y, Gao X, Huang H. Transitive Learning: Exploring the Transitivity of Degradations for Blind Super-Resolution[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022, early access.
2. Huang Y, Li J, Gao X, Hu Y, Lu W. Interpretable Detail-Fidelity Attention Network for Single Image Super-Resolution[J]. IEEE Transactions on Image Processing (TIP), 2021, 30: 2325-2339.
3. Huang Y, Li J, Gao X, He L, Lu W. Single image super-resolution via multiple mixture prior models[J]. IEEE Transactions on Image Processing (TIP), 2018, 27(12): 5904-5917.
4. Huang Y, Li J, Gao X, Lu W, Hu Y. Improving image super-resolution via feature re-balancing fusion[C]. 2019 IEEE International Conference on Multimedia and Expo (ICME), 2019: 580-585.
5. Huang Y, Sun X, Lu W, Li J, Gao X. Un-Paired Real World Super-Resolution with Degradation Consistency[C]. 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019: 3458-3466.
6. Hu Y, Li J, Huang Y, Gao X. Image super-resolution with self-similarity prior guided network and sample-discriminating learning[J]. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.
7. Hu Y, Li J, Huang Y, Gao X. Channel-wise and spatial feature modulation network for single image super-resolution[J]. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019, 30(11): 3911-3927.
