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Ph.D. student, |
I currently pursuing the Ph.D. degree in the State Key Laboratory of Virtual Reality Technology and Systems, computer science and technology from Beihang University, Beijing, China, where I am supervised by Prof. Zhong Zhou.
Before that, I received the M.S. degree in Signal and information processing from the Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China, in 2020.
I received the B.S. degree in Electronics Information Enginnering from the Intelligence and Information Engineering College, Tangshan University, Tangshan, China, in 2017.
Research Interests: Image semantic segmentation, unsupervised domain adaptation, deep learning, smart city, etc.
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PhD, Beihang University (CSU), Beijing [2020.9 ~ Now]
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M. S., Ocean University of China (OUC), Qingdao, Shandong [2017.9 ~ 2020.6]
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B. S., Tangshan University, Tangshan, Hebei [2013.9 ~ 2020.6]
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Context and Spatial Feature Calibration for Real-Time Semantic Segmentation
Kaige Li, Qichuan Geng, Maoxian Wan, Xiaochun Cao, and Zhong Zhou
IEEE Transactions on Image Processing(TIP), 2023. Accepted, [JCR Q1, IF:10.6, CCF A Top journal in computer vision]
Exploring Scale-Aware Features for Real-Time Semantic Segmentation of Street Scenes
Kaige Li, Qichuan Geng, Zhong Zhou
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2023. Accepted, [JCR Q1, IF:8.5, CCF B, Top journal in Transportation]
Action Recognition Based on Feature Interaction and Clustering
Kaige Li, Pengfei Cai, Zhong Zhou
Journal of Computer Aided Design and Graphics, 2023. [CCF A Chinese Journal, EI Journal, Chinese Core Journal] [PDF]
Real-time segmentation of side scan sonar imagery for AUVs
Kaige Li, Fei Yu, Qi Wang, Meihan Wu, Guangliang Li, Tianhong Yan, and Bo He
IEEE Underwater Technology (UT), 2019.
Localization in Crowds with Loosen-structured Pair-of-Points Loss
Hong Mo, Kaige Li, Wei Wu
IEEE International Conference on Virtual Reality and Visualization (ICVRV). [CCF C][PDF]
Side-scan sonar images segmentation for AUV with recurrent residual convolutional neural network module and self-guidance module
Fei Yu, Bo He, Kaige Li, Tianhong Yan, Yue Shen, Qi Wang, Meihan Wu
Applied Ocean Research, 2021. Accepted, [JCR Q1, IF:4.3]
ECNet: Efficient Convolutional Networks for Side Scan Sonar Image Segmentation
Meihan Wu, Qi Wang, Eric Rigall, Kaige Li, Wenbo Zhu, Bo He, and Tianhong Yan
Sensors, 2019. Accepted, [JCR Q2, IF:3.9]
RT-Seg: A Real-Time Semantic Segmentation Network for Side-Scan Sonar Images
Qi Wang, Meihan Wu, Fei Yu, Chen Feng, Kaige Li, Yuemei Zhu, Eric Rigall and Bo He
Sensors, 2019. Accepted, [JCR Q2, IF:3.9]
Segmentation of Side Scan Sonar Images on AUV
Fei Yu, Yuemei Zhu, Qi Wang, Kaige Li, Meihan Wu, Guangliang Li, Tianhong Yan, and Bo He
IEEE Underwater Technology (UT), 2019.
A gesture recognition method for underwater devices
Bo he, Kaige Li, Qi Wang and Meihan Wu
China Invention Patent, Publication Patent Number: CN110795990B
Research on Gesture Recognizer for Underwater Devices
Project Leader;
Ocean University of China graduate student research independent project, No. 201861014