Convolutional neural networks based scale-adaptive kernelized correlation filter for robust visual object tracking. - Bing Liu 019; Zhengyu Zhu; Yong Yang (SPAC, 2017)

STResNet_CF Tracker: The Deep Spatiotemporal Features Learning for Correlation Filter Based Robust Visual Object Tracking. - Zhengyu Zhu; Bing Liu 019; Yunbo Rao; Qiao Liu 001; Rui Zhang (IEEE Access, 2019)

MSSTResNet-TLD: A robust tracking method based on tracking-learning-detection framework by using multi-scale spatio-temporal residual network feature model. - Bing Liu 019; Qiao Liu 001; Taiping Zhang; Yong Yang (Neurocomputing, 2019)

MSST-ResNet: Deep multi-scale spatiotemporal features for robust visual object tracking. - Bing Liu 019; Qiao Liu 001; Zhengyu Zhu; Taiping Zhang; Yong Yang (Knowl. Based Syst., 2019)

HCDC-SRCF tracker: Learning an adaptively multi-feature fuse tracker in spatial regularized correlation filters framework. - Bing Liu 019; Xiaojun Chang; Di Yuan 002; Yong Yang (Knowl. Based Syst., 2022)

APR-Net Tracker: Attention Pyramidal Residual Network for Visual Object Tracking. - Bing Liu 019; Di Yuan 002; Xiaofang Li (IEEE Trans. Emerg. Top. Comput. Intell., 2025)