Learning Segmentation Masks with the Independence Prior. - Songmin Dai; Xiaoqiang Li; Lu Wang; Pin Wu; Weiqin Tong; Yimin Chen (AAAI, 2019)

PCCN: POINT Cloud Colorization Network. - Jitao Liu; Songmin Dai; Xiaoqiang Li (ICIP, 2019)

Tooth-Marked Tongue Recognition Using Gradient-Weighted Class Activation Maps. - Yue Sun; Songmin Dai; Jide Li; Yin Zhang; Xiaoqiang Li (Future Internet, 2019)

Semi-Supervised Semantic Segmentation Constrained by Consistency Regularization. - Xiaoqiang Li; Qin He; Songmin Dai; Pin Wu; Weiqin Tong (ICME, 2020)

Scale specified single shot multibox detector. - Xiaoqiang Li; Chuanwei Liu; Songmin Dai; Huichen Lian; Guangtai Ding (IET Comput. Vis., 2020)

Robust landmark-free head pose estimation by learning to crop and background augmentation. - Aoru Xue; Kai Sheng; Songmin Dai; Xiaoqiang Li (IET Image Process., 2020)

Improving Robustness of Facial Landmark Detection by Defending against Adversarial Attacks. - Congcong Zhu; Xiaoqiang Li; Jide Li; Songmin Dai (ICCV, 2021)

Unsupervised Learning of Multi-level Structures for Anomaly Detection. - Songmin Dai; Jide Li; Lu Wang; Congcong Zhu; Yifan Wu; Xiaoqiang Li (CoRR, 2021)

Point cloud super-resolution based on geometric constraints. - Xiaoqiang Li; Jitao Liu; Songmin Dai (IET Comput. Vis., 2021)

Reasoning structural relation for occlusion-robust facial landmark localization. - Congcong Zhu; Xiaoqiang Li; Jide Li; Songmin Dai; Weiqin Tong (Pattern Recognit., 2022)

GradPU: Positive-Unlabeled Learning via Gradient Penalty and Positive Upweighting. - Songmin Dai; Xiaoqiang Li; Yue Zhou; Xichen Ye; Tong Liu (AAAI, 2023)

OEST: Outlier Exposure by Simple Transformations for Out-of-Distribution Detection. - Yifan Wu; Songmin Dai; Dengye Pan; Xiaoqiang Li (ICIP, 2023)

Hierarchical Semantic Contrast for Weakly Supervised Semantic Segmentation. - Yuanchen Wu; Xiaoqiang Li; Songmin Dai; Jide Li; Tong Liu; Shaorong Xie (IJCAI, 2023)

Active Negative Loss Functions for Learning with Noisy Labels. - Xichen Ye; Xiaoqiang Li; Songmin Dai; Tong Liu 001; Yan Sun; Weiqin Tong (NeurIPS, 2023)

Multiscale features integration based multiple-in-single-out network for object detection. - Kequan Yang; Jide Li; Songmin Dai; Xiaoqiang Li (Image Vis. Comput., 2023)

Multi-Sourced Knowledge Integration for Robust Self-Supervised Facial Landmark Tracking. - Congcong Zhu; Xiaoqiang Li; Jide Li; Songmin Dai; Weiqin Tong (IEEE Trans. Multim., 2023)

Semi-supervised medical imaging segmentation with soft pseudo-label fusion. - Xiaoqiang Li; Yuanchen Wu; Songmin Dai (Appl. Intell., 2023)

Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection. - Songmin Dai; Yifan Wu; Xiaoqiang Li; Xiangyang Xue 001 (AAAI, 2024)

Revisiting Energy-Based Model for Out-of-Distribution Detection. - Yifan Wu; Xichen Ye; Songmin Dai; Dengye Pan; Xiaoqiang Li; Weizhong Zhang; Yifan Chen (CoRR, 2024)