Kaige Li

According to our database, Kaige Li authored at least 16 papers between 2019 and 2026.

Collaborative distances:

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

2026

Out-of-Distribution Semantic Segmentation With Disentangled and Calibrated Representation.

Maoxian Wan, Kaige Li, Qichuan Geng, Binyi Su, Zhong Zhou

IEEE Trans. Circuits Syst. Video Technol., January, 2026

GeoBayes: Probabilistic Image Geo-Localization Inference via Sequential Bayesian Updating.

Weimin Shi, Xiang Li, Kaige Li, Junhao Fang, Qiang Zhou, Qichuan Geng, Zhong Zhou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

World In Your Hands: A Large-Scale and Open-source Ecosystem for Learning Human-centric Manipulation in the Wild.

TARS Robotics, Yupeng Zheng, Jichao Peng, Weize Li, Yuhang Zheng, Xiang Li, Yujie Jin, Julong Wei, Guanhua Zhang, Ruiling Zheng, Ming Cao, Songen Gu, Zhenhong Zou, Kaige Li, Ke Wu, Mingmin Yang, Jiahao Liu, Pengfei Li, Hengjie Si, Feiyu Zhu, Wang Fu, Likun Wang, Ruiwen Yao, Jieru Zhao, Yilun Chen, Wenchao Ding

CoRR, December, 2025

Ftmoe: a federated transfer model based on mixture-of-experts for heterogeneous image classification.

Wei Liu, Yingmeng Wang, Kaige Li, Zhao Tian, Wei She

Clust. Comput., June, 2025

FedBPM:A decentralized federated meta-method for heterogeneous and complex image classification via multi-scale feature fusion.

Wei Liu, Kaige Li, Yurong Zheng, Wei She, Zhao Tian

Computing, February, 2025

Distillation Quantification for Large Language Models.

Sunbowen Lee, Junting Zhou, Chang Ao, Kaige Li, Xinrun Du, Sirui He, Jiaheng Liu, Min Yang, Zhoufutu Wen, Shiwen Ni

CoRR, January, 2025

LangLoc: Language-Driven Localization via Formatted Spatial Description Generation.

Weimin Shi, Changhao Chen, Kaige Li, Yuan Xiong, Xiaochun Cao, Zhong Zhou

IEEE Trans. Image Process., 2025

MAP: Masked Adversarial Perturbation for Boosting Black-Box Attack Transferability.

Kaige Li, Maoxian Wan, Qichuan Geng, Weimin Shi, Xiaochun Cao, Zhong Zhou

IEEE Trans. Image Process., 2025

Boosting Human Pose Estimation via Heatmap Refinement.

Ling Jiang, Zhuocheng Liu, Kaige Li, Wei Wu

Proceedings of the MultiMedia Modeling, 2025

Incremental Few-Shot Semantic Segmentation Via Multi-Level Switchable Visual Prompts.

Maoxian Wan, Kaige Li, Qichuan Geng, Weimin Shi, Zhong Zhou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Quantification of Large Language Model Distillation.

Sunbowen Lee, Junting Zhou, Chang Ao, Kaige Li, Xeron Du, Sirui He, Haihong Wu, Tianci Liu, Jiaheng Liu, Hamid Alinejad-Rokny, Min Yang, Yitao Liang, Zhoufutu Wen, Shiwen Ni

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Multimodality Adaptive Transformer and Mutual Learning for Unsupervised Domain Adaptation Vehicle Re-Identification.

Xin Zhang, Yunan Ling, Kaige Li, Weimin Shi, Zhong Zhou

IEEE Trans. Intell. Transp. Syst., December, 2024

Exploring Scale-Aware Features for Real-Time Semantic Segmentation of Street Scenes.

Kaige Li, Qichuan Geng, Zhong Zhou

IEEE Trans. Intell. Transp. Syst., May, 2024

2023

Context and Spatial Feature Calibration for Real-Time Semantic Segmentation.

Kaige Li, Qichuan Geng, Maoxian Wan, Xiaochun Cao, Zhong Zhou

IEEE Trans. Image Process., 2023

2019

ECNet: Efficient Convolutional Networks for Side Scan Sonar Image Segmentation.

Meihan Wu, Qi Wang, Eric Rigall, Kaige Li, Wenbo Zhu, Bo He, Tianhong Yan

Sensors, 2019

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, Bo He

Sensors, 2019