Learning Label-Specific Features for Multi-Label Classification with Missing Labels. - Jun Huang 003; Feng Qin; Xiao Zheng; Zekai Cheng; Zhixiang Yuan; Weigang Zhang (BigMM, 2018)

Improving multi-label classification with missing labels by learning label-specific features. - Jun Huang 003; Feng Qin; Xiao Zheng; Zekai Cheng; Zhixiang Yuan; Weigang Zhang; Qingming Huang (Inf. Sci., 2019)

Global Contextual Complementary Network for Multi-View Stereo. - Yongrong Cao; Suping Wu; Xing Zheng; Bin Wang; Pan Li; Zhixiang Yuan; Lei Lin; Yuxin Peng (BMVC, 2022)

Two-stage Co-segmentation Network Based on Discriminative Representation for Recovering Human Mesh from Videos. - Boyang Zhang; Kehua Ma; Suping Wu; Zhixiang Yuan (CVPR, 2023)

A Detail Geometry Learning Network for High-Fidelity Face Reconstruction. - Kehua Ma; Xitie Zhang; Suping Wu; Boyang Zhang; Leyang Yang; Zhixiang Yuan (ICANN (2), 2023)

Multi Hybrid Extractor Network for 3D Human Pose Estimation. - Zhixiang Yuan; Xitie Zhang; Suping Wu; Boyang Zhang; Yuxin Peng; Bing Wang (ICIP, 2023)

A Bi-directional Optimization Network for De-obscured 3D High-Fidelity Face Reconstruction. - Xitie Zhang; Suping Wu; Zhixiang Yuan; Xinyu Li; Kehua Ma; Leyang Yang; Zhiyuan Zhou (ICONIP (14), 2023)

Positive Label Is All You Need for Multi-Label Classification. - Zhixiang Yuan; Kaixin Zhang; Tao Huang (ICME, 2024)

Diverse and Tailored Image Generation for Zero-shot Multi-label Classification. - Kaixin Zhang; Zhixiang Yuan; Tao Huang (CoRR, 2024)

Diverse and tailored image generation for zero-shot multi-label classification. - Kaixin Zhang; Zhixiang Yuan; Tao Huang 020 (Knowl. Based Syst., 2024)