A Novel Soft Margin Loss Function for Deep Discriminative Embedding Learning. - Zhao Yang 001; Tie Liu; Jiehao Liu; Li Wang 067; Sai Zhao (IEEE Access, 2020)

Circle-Based Ratio Loss for Person Reidentification. - Zhao Yang 001; Jiehao Liu; Tie Liu; Li Wang 067; Sai Zhao (Complex., 2020)

Equidistant distribution loss for person re-identification. - Zhao Yang 001; Jiehao Liu; Tie Liu; Yuanxin Zhu; Li Wang 067; Dapeng Tao (Neurocomputing, 2021)

Confidence based class weight and embedding discrepancy constraint network for partial domain adaptation. - Mingkai Luo; Zhao Yang; Weiwei Ai; Jiehao Liu (J. Vis. Commun. Image Represent., 2022)

TENet: Accurate light-field salient object detection with a transformer embedding network. - Xingzheng Wang; Songwei Chen; Guoyao Wei; Jiehao Liu (Image Vis. Comput., 2023)

CRmix: A regularization by clipping images and replacing mixed samples for imbalanced classification. - Jiahao Li; Zhao Yang 001; Luyu Hu; Jiehao Liu; Dapeng Tao (Digit. Signal Process., 2023)

A hybrid deep model with cumulative learning for few-shot learning. - Jiehao Liu; Zhao Yang 001; Liufei Luo; Mingkai Luo; Luyu Hu; Jiahao Li (Multim. Tools Appl., 2023)

Effective Light Field De-Occlusion Network Based on Swin Transformer. - Xingzheng Wang; Jiehao Liu; Songwei Chen; Guoyao Wei (IEEE Trans. Circuits Syst. Video Technol., 2023)

An efficient weakly semi-supervised method for object automated annotation. - Xingzheng Wang; Guoyao Wei; Songwei Chen; Jiehao Liu (Multim. Tools Appl., 2024)