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2020 – today
- 2024
[c9]Songmin Dai, Yifan Wu, Xiaoqiang Li, Xiangyang Xue:
Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection. AAAI 2024: 1454-1462- [i5]Yifan Wu, Xichen Ye, Songmin Dai, Dengye Pan, Xiaoqiang Li, Weizhong Zhang, Yifan Chen:
Revisiting Energy-Based Model for Out-of-Distribution Detection. CoRR abs/2412.03058 (2024) - 2023
- [j8]Xiaoqiang Li
, Yuanchen Wu, Songmin Dai:
Semi-supervised medical imaging segmentation with soft pseudo-label fusion. Appl. Intell. 53(18): 20753-20765 (2023) - [j7]Kequan Yang, Jide Li, Songmin Dai, Xiaoqiang Li:
Multiscale features integration based multiple-in-single-out network for object detection. Image Vis. Comput. 135: 104714 (2023) - [j6]Congcong Zhu, Xiaoqiang Li, Jide Li, Songmin Dai, Weiqin Tong:
Multi-Sourced Knowledge Integration for Robust Self-Supervised Facial Landmark Tracking. IEEE Trans. Multim. 25: 6616-6628 (2023) - [c8]Songmin Dai, Xiaoqiang Li, Yue Zhou, Xichen Ye, Tong Liu:
GradPU: Positive-Unlabeled Learning via Gradient Penalty and Positive Upweighting. AAAI 2023: 7296-7303 - [c7]Yifan Wu, Songmin Dai, Dengye Pan, Xiaoqiang Li:
OEST: Outlier Exposure by Simple Transformations for Out-of-Distribution Detection. ICIP 2023: 2170-2174 - [c6]Yuanchen Wu, Xiaoqiang Li, Songmin Dai, Jide Li, Tong Liu, Shaorong Xie:
Hierarchical Semantic Contrast for Weakly Supervised Semantic Segmentation. IJCAI 2023: 1542-1550 - [c5]Xichen Ye, Xiaoqiang Li, Songmin Dai, Tong Liu, Yan Sun, Weiqin Tong:
Active Negative Loss Functions for Learning with Noisy Labels. NeurIPS 2023 - [i4]Songmin Dai, Yifan Wu, Xiaoqiang Li, Xiangyang Xue:
Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection. CoRR abs/2312.15911 (2023) - 2022
- [j5]Congcong Zhu, Xiaoqiang Li, Jide Li, Songmin Dai, Weiqin Tong:
Reasoning structural relation for occlusion-robust facial landmark localization. Pattern Recognit. 122: 108325 (2022) - 2021
- [j4]Xiaoqiang Li, Jitao Liu, Songmin Dai:
Point cloud super-resolution based on geometric constraints. IET Comput. Vis. 15(4): 312-321 (2021) - [c4]Congcong Zhu, Xiaoqiang Li, Jide Li, Songmin Dai:
Improving Robustness of Facial Landmark Detection by Defending against Adversarial Attacks. ICCV 2021: 11731-11740 - [i3]Songmin Dai, Jide Li, Lu Wang, Congcong Zhu, Yifan Wu, Xiaoqiang Li:
Unsupervised Learning of Multi-level Structures for Anomaly Detection. CoRR abs/2104.12102 (2021) - [i2]Congcong Zhu, Xiaoqiang Li, Jide Li, Songmin Dai, Weiqin Tong:
Reasoning Structural Relation for Occlusion-Robust Facial Landmark Localization. CoRR abs/2112.10087 (2021) - 2020
- [j3]Xiaoqiang Li, Chuanwei Liu, Songmin Dai, Huichen Lian, Guangtai Ding:
Scale specified single shot multibox detector. IET Comput. Vis. 14(2): 59-64 (2020) - [j2]Aoru Xue, Kai Sheng, Songmin Dai, Xiaoqiang Li:
Robust landmark-free head pose estimation by learning to crop and background augmentation. IET Image Process. 14(11): 2553-2560 (2020) - [c3]Xiaoqiang Li, Qin He, Songmin Dai, Pin Wu, Weiqin Tong:
Semi-Supervised Semantic Segmentation Constrained by Consistency Regularization. ICME 2020: 1-6
2010 – 2019
- 2019
- [j1]Yue Sun, Songmin Dai, Jide Li, Yin Zhang, Xiaoqiang Li:
Tooth-Marked Tongue Recognition Using Gradient-Weighted Class Activation Maps. Future Internet 11(2): 45 (2019) - [c2]Songmin Dai, Xiaoqiang Li, Lu Wang, Pin Wu, Weiqin Tong, Yimin Chen:
Learning Segmentation Masks with the Independence Prior. AAAI 2019: 3429-3436 - [c1]Jitao Liu, Songmin Dai, Xiaoqiang Li:
PCCN: POINT Cloud Colorization Network. ICIP 2019: 3716-3720 - 2018
- [i1]Songmin Dai, Xiaoqiang Li, Lu Wang, Pin Wu, Weiqin Tong, Yimin Chen:
Learning Segmentation Masks with the Independence Prior. CoRR abs/1811.04682 (2018)
Coauthor Index
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