Yang, Michael Ying

Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges

Ding, J., Xue, N., Xia, G.-S., Bai, X., Yang, W., Yang, M. Y., Belongie, S., Luo, J., Datcu, M., Pelillo, M., et al. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 678

Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image

Brachmann, E., Michel, F., Krull, A., Yang, M. Y., Gumhold, S., & Rother, C. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 530

Fusion of multispectral data through illumination-aware deep neural networks for pedestrian detection

Guan, D., Cao, Y., Yang, J., Cao, Y., & Yang, M. Y. (2019) · Information Fusion

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 342

A deep-learning-based approach for fast and robust steel surface defects classification

Fu, G., Sun, P., Zhu, W., Yang, J., Cao, Y., Yang, M. Y., & Cao, Y. (2019) · Optics and Lasers in Engineering

Industrial Vision Systems and Defect DetectionNon-Destructive Testing Techniques

Cited by 271

On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID

Long, Y., Xia, G.-S., Li, S., Yang, W., Yang, M. Y., Zhu, X. X., Zhang, L., & Li, D. (2021) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Remote-Sensing Image ClassificationRemote Sensing and Land Use

Cited by 250