师资队伍

Y. Yuan, Y. Zhao, and D. Ma*, “NACAD: A Noise-Adaptive Context-Aware Detector for Remote Sensing Small Objects,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-13, 2023.

Y. Yuan, Z. Li, and D. Ma*,“Feature-Aligned Single-Stage Rotation Object Detection with Continuous Boundary,” IEEE Transactions on Geoscience and Remote Sensing, 2022.

Z. Li, Y. Yuan, and D. Ma*, “Multi-Scale Sample Selection Based on Statistical Characteristics for Object Detection,” International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP), 2021.

Y. Yuan, W. Su, and D. Ma*, “Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network with Optical Flow Guided Training,” IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR), 2020.

D. Ma, Y. Yuan, and Q. Wang*, “Hyperspectral Anomaly Detection Based on Separability-Aware Sample Cascade,” Remote Sensing, 2019.

D. Ma, Y. Yuan, and Q. Wang*, “Hyperspectral Anomaly Detection via Discriminative Feature Learning with Multiple-Dictionary Sparse Representation,” Remote Sensing, 2018. 

D. Ma, Y. Yuan, and Q. Wang*, “A Sparse Dictionary Learning Method for Hyperspectral Anomaly Detection with Capped Norm,” IEEE International Geoscience and Remote Sensing Symposium, 2017.

Y. Yuan, D. Ma, and Q. Wang*, “Hyperspectral Anomaly Detection by Graph Pixel Selection,” IEEE Transactions on Cybernetics, 2016.