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2020 – today
- 2025
[j6]Wei Liu, Yingmeng Wang, Kaige Li, Zhao Tian, Wei She:
Ftmoe: a federated transfer model based on mixture-of-experts for heterogeneous image classification. Clust. Comput. 28(3): 165 (2025)- [c1]Ling Jiang
, Zhuocheng Liu, Kaige Li, Wei Wu:
Boosting Human Pose Estimation via Heatmap Refinement. MMM (1) 2025: 153-167 - 2024
- [j5]Kaige Li, Qichuan Geng, Zhong Zhou:
Exploring Scale-Aware Features for Real-Time Semantic Segmentation of Street Scenes. IEEE Trans. Intell. Transp. Syst. 25(5): 3575-3587 (2024) - [j4]Xin Zhang, Yunan Ling, Kaige Li, Weimin Shi, Zhong Zhou:
Multimodality Adaptive Transformer and Mutual Learning for Unsupervised Domain Adaptation Vehicle Re-Identification. IEEE Trans. Intell. Transp. Syst. 25(12): 20215-20226 (2024) - 2023
- [j3]Kaige Li, Qichuan Geng, Maoxian Wan, Xiaochun Cao, Zhong Zhou:
Context and Spatial Feature Calibration for Real-Time Semantic Segmentation. IEEE Trans. Image Process. 32: 5465-5477 (2023)
2010 – 2019
- 2019
- [j2]Qi Wang, Meihan Wu, Fei Yu, Chen Feng, Kaige Li, Yuemei Zhu, Eric Rigall, Bo He:
RT-Seg: A Real-Time Semantic Segmentation Network for Side-Scan Sonar Images. Sensors 19(9): 1985 (2019) - [j1]Meihan Wu, Qi Wang, Eric Rigall, Kaige Li, Wenbo Zhu, Bo He, Tianhong Yan:
ECNet: Efficient Convolutional Networks for Side Scan Sonar Image Segmentation. Sensors 19(9): 2009 (2019)
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