Bayesian Dumbbell Diffusion Model for RGBT Object Tracking With Enriched Priors. - Shenghua Fan; Chu He; Chenxia Wei; Yujin Zheng; Xi Chen 078 (IEEE Signal Process. Lett., 2023)

Cross-scale content-based full Transformer network with Bayesian inference for object tracking. - Shenghua Fan; Xi Chen 078; Chu He; Yan Huang; Kehan Chen (Multim. Tools Appl., 2023)

Learning to estimate optical flow using dual-frequency paradigm. - Yujin Zheng; Chu He; Yan Huang; Shenghua Fan; Min Jiang 005; Dingwen Wang; Yang Yi (Memetic Comput., 2023)

Multiple frequency-spatial network for RGBT tracking in the presence of motion blur. - Shenghua Fan; Xi Chen 078; Chu He; Lei Yu 006; Zhongjie Mao; Yujin Zheng (Neural Comput. Appl., 2023)

Constructing Enhanced Mutual Information for Online Class-Incremental Learning. - Huan Zhang; Fan Lyu; Shenghua Fan; Yujin Zheng; Dingwen Wang (CoRR, 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)

NOT-156: Night Object Tracking Using Low-Light and Thermal Infrared: From Multimodal Common-Aperture Camera to Benchmark Datasets. - Chen Sun; Xinyu Wang 003; Shenghua Fan; Xiaobing Dai; Yuting Wan; Xiao Jiang; Zengliang Zhu; Yanfei Zhong (IEEE Trans. Geosci. Remote. Sens., 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, 2025)