Shenghua Fan

According to our database, Shenghua Fan authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

Constructing Enhanced Mutual Information for Online Class-Incremental Learning.

Huan Zhang, Fan Lyu, Shenghua Fan, Yujin Zheng, Dingwen Wang

IEEE Trans. Multim., 2026

Sparse Tuning Enhances Plasticity in PTM-based Continual Learning.

Huan Zhang, Shenghua Fan, Shuyu Dong, Yujin Zheng, Dingwen Wang, Fan Lyu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

VICoT-Agent: A Vision-Interleaved Chain-of-Thought Framework for Interpretable Multimodal Reasoning and Scalable Remote Sensing Analysis.

Chujie Wang, Zhiyuan Luo, Ruiqi Liu, Can Ran, Shenghua Fan, Xi Chen, Chu He

CoRR, November, 2025

Beyond Freezing: Sparse Tuning Enhances Plasticity in Continual Learning with Pre-Trained Models.

Huan Zhang, Fan Lyu, Shuyu Dong, Shenghua Fan, Yujin Zheng, Dingwen Wang

CoRR, May, 2025

NOT-156: Night Object Tracking Using Low-Light and Thermal Infrared: From Multimodal Common-Aperture Camera to Benchmark Datasets.

Chen Sun, Xinyu Wang, Shenghua Fan, Xiaobing Dai, Yuting Wan, Xiao Jiang, Zengliang Zhu, Yanfei Zhong

IEEE Trans. Geosci. Remote. Sens., 2025

RDD-DETR: An End-to-End Real-Time Road Damage Detection Algorithm.

Ziang He, Zhuoxuan Zhao, Shenghua Fan, Xi Chen, Haowen Liu

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Wavelet-based Feature Representation Framework for Event Stream Recognition.

Zihan Cheng, Xingyu Pan, Xi Chen, Shenghua Fan

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

2024

Hierarchical Sampling Representation Detector for Ship Detection in SAR Images.

Ming Tong, Shenghua Fan, Jiu Jiang, Chu He

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

2023

Multiple frequency-spatial network for RGBT tracking in the presence of motion blur.

Shenghua Fan, Xi Chen, Chu He, Lei Yu, Zhongjie Mao, Yujin Zheng

Neural Comput. Appl., December, 2023

Learning to estimate optical flow using dual-frequency paradigm.

Yujin Zheng, Chu He, Yan Huang, Shenghua Fan, Min Jiang, Dingwen Wang, Yang Yi

Memetic Comput., September, 2023

Cross-scale content-based full Transformer network with Bayesian inference for object tracking.

Shenghua Fan, Xi Chen, Chu He, Yan Huang, Kehan Chen

Multim. Tools Appl., May, 2023

Bayesian Dumbbell Diffusion Model for RGBT Object Tracking With Enriched Priors.

Shenghua Fan, Chu He, Chenxia Wei, Yujin Zheng, Xi Chen

IEEE Signal Process. Lett., 2023