Songmin Dai

According to our database, Songmin Dai authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection.

Songmin Dai, Yifan Wu, Xiaoqiang Li, Xiangyang Xue

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Semi-supervised medical imaging segmentation with soft pseudo-label fusion.

Xiaoqiang Li, Yuanchen Wu, Songmin Dai

Appl. Intell., September, 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

Multiscale features integration based multiple-in-single-out network for object detection.

Kequan Yang, Jide Li, Songmin Dai, Xiaoqiang Li

Image Vis. Comput., 2023

Active Negative Loss Functions for Learning with Noisy Labels.

Xichen Ye, Xiaoqiang Li, Songmin Dai, Tong Liu, Yan Sun, Weiqin Tong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hierarchical Semantic Contrast for Weakly Supervised Semantic Segmentation.

Yuanchen Wu, Xiaoqiang Li, Songmin Dai, Jide Li, Tong Liu, Shaorong Xie

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

OEST: Outlier Exposure by Simple Transformations for Out-of-Distribution Detection.

Yifan Wu, Songmin Dai, Dengye Pan, Xiaoqiang Li

Proceedings of the IEEE International Conference on Image Processing, 2023

GradPU: Positive-Unlabeled Learning via Gradient Penalty and Positive Upweighting.

Songmin Dai, Xiaoqiang Li, Yue Zhou, Xichen Ye, Tong Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Reasoning structural relation for occlusion-robust facial landmark localization.

Congcong Zhu, Xiaoqiang Li, Jide Li, Songmin Dai, Weiqin Tong

Pattern Recognit., 2022

2021

Point cloud super-resolution based on geometric constraints.

Xiaoqiang Li, Jitao Liu, Songmin Dai

IET Comput. Vis., 2021

Unsupervised Learning of Multi-level Structures for Anomaly Detection.

Songmin Dai, Jide Li, Lu Wang, Congcong Zhu, Yifan Wu, Xiaoqiang Li

CoRR, 2021

Improving Robustness of Facial Landmark Detection by Defending against Adversarial Attacks.

Congcong Zhu, Xiaoqiang Li, Jide Li, Songmin Dai

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Scale specified single shot multibox detector.

Xiaoqiang Li, Chuanwei Liu, Songmin Dai, Huichen Lian, Guangtai Ding

IET Comput. Vis., 2020

Semi-Supervised Semantic Segmentation Constrained by Consistency Regularization.

Xiaoqiang Li, Qin He, Songmin Dai, Pin Wu, Weiqin Tong

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

2019

Tooth-Marked Tongue Recognition Using Gradient-Weighted Class Activation Maps.

Yue Sun, Songmin Dai, Jide Li, Yin Zhang, Xiaoqiang Li

Future Internet, 2019

PCCN: POINT Cloud Colorization Network.

Jitao Liu, Songmin Dai, Xiaoqiang Li

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Learning Segmentation Masks with the Independence Prior.

Songmin Dai, Xiaoqiang Li, Lu Wang, Pin Wu, Weiqin Tong, Yimin Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019