News: Since 2021, I became a Computer Vision Engineer at Apple R&D, Shanghai.
I received both my Master’s & Bachelor’s Degree in Electronic Engineering from Tsinghua University. I also used to be the research intern for Microsoft Research Asia (MSRA).
My research interests are in computer vision/image processing and deep learning.
Selected Papers
H. Ma, S. Liu, J. Zhang, Q. Liao and J. -H. Xue, “ Defocus Image Deblurring Network with Defocus Map Estimation as Auxiliary Task ,” in IEEE Transactions on Image Processing, 2021, doi: 10.1109/TIP.2021.3127850.
H. Ma, Q. Liao, J. Zhang, S. Liu and J. -H. Xue, “ An α-Matte Boundary Defocus Model-Based Cascaded Network for Multi-Focus Image Fusion ,” in IEEE Transactions on Image Processing, vol. 29, pp. 8668-8679, 2020, doi: 10.1109/TIP.2020.3018261.
J. Zhang, Q. Liao, H. Ma, J. -H. Xue, W. Yang and S. Liu” Exploit the Best of Both End-to-End and Map-Based Methods for Multi-Focus Image Fusion ,” in IEEE Transactions on Multimedia, 2023, doi: 10.1109/TMM.2024.3350924
H. Ma, J. Zhang, S. Liu and Q. Liao, “ Boundary Aware Multi-focus Image Fusion Using Deep Neural Network ,” 2019 IEEE International Conference on Multimedia and Expo (ICME), Shanghai, China, 2019, pp. 1150-1155, doi: 10.1109/ICME.2019.00201.
Others
Y. Liu, J. Zhang, Q. Liao, H. Ma, S. Liu, “ Feature Pyramid Boosting Network for Rendering Natural Bokeh ,” 2022 IEEE International Conference on Multimedia and Expo (ICME), 2022, pp. 1-6, doi: 10.1109/ICME52920.2022.9859850.
L. Chen, Z. Lu, Q. Liao, H. Ma and J. -H. Xue, “ Disparity Estimation with Scene Depth Cues ,” 2021 IEEE International Conference on Multimedia and Expo (ICME), 2021, pp. 1-6, doi: 10.1109/ICME51207.2021.9428216.
K. Zhang, Q. Liao, J. Zhang, S. Liu, H. Ma and J. -H. Xue, “ EFRNet: A Lightweight Network with Efficient Feature Fusion and Refinement for Real-Time Semantic Segmentation ,” 2021 IEEE International Conference on Multimedia and Expo (ICME), 2021, pp. 1-6, doi: 10.1109/ICME51207.2021.9428371.
C. Li, H. Ma and Q. Liao, “ Two-Stage Adaptive Object Scene Flow Using Hybrid CNN-CRF Model ,” 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 3876-3883, doi: 10.1109/ICPR48806.2021.9413289.
J. Zhang, Q. Liao, S. Liu, H. Ma, W. Yang, J. -H. Xue, “ Real-MFF: A large realistic multi-focus image dataset with ground truth ,” in Pattern Recognition Letters, vol. 138, pp. 370-377, 2020, doi: 10.1016/j.patrec.2020.08.002.
Defocus Image Deblurring (Under Construction)
Real Scene Defocus Estiamtion and Deblurring Dataset