Dingruibo Miao

According to our database, Dingruibo Miao authored at least 6 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Decision Fusion Networks for Image Classification.

Keke Tang, Yuexin Ma, Dingruibo Miao, Peng Song, Zhaoquan Gu, Zhihong Tian, Wenping Wang

IEEE Trans. Neural Networks Learn. Syst., March, 2025

LRD-RB: The First Large-Scale Dataset With Rotated Bounding Boxes for Automated Lunar Rockfall Detection.

Dingruibo Miao, Jianguo Yan, Zhigang Tu, Jean-Pierre Barriot

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

HAT: Achieving Comprehensive Inpainting of Lunar Spectral Imagery.

Dingruibo Miao, Depei Gu, Jianguo Yan, Zhigang Tu, Jean-Pierre Barriot

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Partial-Net: A Method for Data Gaps Reconstruction on Mars Images.

Depei Gu, Dingruibo Miao, Jianguo Yan, Zhigang Tu, Jean-Pierre Barriot

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024

LCDNet: An Innovative Neural Network for Enhanced Lunar Crater Detection Using DEM Data.

Dingruibo Miao, Jianguo Yan, Zhigang Tu, Jean-Pierre Barriot

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2021

CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue.

Keke Tang, Dingruibo Miao, Weilong Peng, Jianpeng Wu, Yawen Shi, Zhaoquan Gu, Zhihong Tian, Wenping Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021