Dai, Songmin

6 publications

AAAI 2024 Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection Songmin Dai, Yifan Wu, Xiaoqiang Li, Xiangyang Xue

NeurIPS 2023 Active Negative Loss Functions for Learning with Noisy Labels Xichen Ye, Xiaoqiang Li, Songmin Dai, Tong Liu, Yan Sun, Weiqin Tong

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

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

ICCV 2021 Improving Robustness of Facial Landmark Detection by Defending Against Adversarial Attacks Congcong Zhu, Xiaoqiang Li, Jide Li, Songmin Dai

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