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2020 – today
- 2024
[j4]Mingkang Xiong
, Zhenghong Zhang, Jiyuan Liu, Tao Zhang, Huilin Xiong:
Monocular depth estimation using self-supervised learning with more effective geometric constraints. Eng. Appl. Artif. Intell. 128: 107489 (2024)- [c6]Nishang Xie, Mingkang Xiong, Feiming Wei, Tao Zhang, Zhen Yang, Wenxian Yu:
CA-LOSS: A Cosine Affinity Loss for Imbalanced SAR Ship Classification. IGARSS 2024: 9070-9074 - [c5]Nishang Xie, Mingkang Xiong, Feiming Wei, Jianwei Li, Tao Zhang, Wenxian Yu:
MFSAF: A Plug-And-Play Module for SAR Ship Classification. IGARSS 2024: 9075-9079 - [c4]Renke Zhu, Mingkang Xiong, Tao Zhang, Feiming Wei, Sinong Quan, Wenxian Yu:
An Approach for Integrating SAR Imagery in Sea-Land Segmentation and Coastline Detection. IGARSS 2024: 9525-9529 - [c3]Xinyu Xu, Mingkang Xiong, Sinong Quan, Jie Chen, Tao Zhang, Feiming Wei:
Flood Change Detection Based on Prior Feature Estimation. IGARSS 2024: 10001-10005 - [c2]Jiyuan Liu, Mingkang Xiong, Zhenghong Zhang, Tao Zhang, Huilin Xiong:
Adversarial Attacks with Polarimetric Feature Constraints: A Focused Approach in Polsar Image Classification. IGARSS 2024: 11223-11226 - 2023
- [j3]Jiyuan Liu, Bingyi Lu, Mingkang Xiong, Tao Zhang, Huilin Xiong:
Low frequency sparse adversarial attack. Comput. Secur. 132: 103379 (2023) - [j2]Mingkang Xiong, Zhenghong Zhang, Jiyuan Liu, Tao Zhang, Huilin Xiong:
Self-supervised depth completion with multi-view geometric constraints. IET Image Process. 17(11): 3095-3105 (2023) - [i1]Jiyuan Liu, Bingyi Lu, Mingkang Xiong, Tao Zhang, Huilin Xiong:
Adversarial Attack with Raindrops. CoRR abs/2302.14267 (2023) - 2022
- [j1]Mingkang Xiong, Zhenghong Zhang, Tao Zhang, Huilin Xiong:
LD-Net: A Lightweight Network for Real-Time Self-Supervised Monocular Depth Estimation. IEEE Signal Process. Lett. 29: 882-886 (2022) - 2020
- [c1]Mingkang Xiong, Zhenghong Zhang, Weilin Zhong, Jinsheng Ji, Jiyuan Liu, Huilin Xiong:
Self-supervised Monocular Depth and Visual Odometry Learning with Scale-consistent Geometric Constraints. IJCAI 2020: 963-969
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