Multi-Augmentation for Efficient Self-Supervised Visual Representation Learning. - Van-Nhiem Tran; Chi-En Huang; Shen-Hsuan Liu; Kai-Lin Yang; Timothy Ko; Yung-Hui Li (ICME Workshops, 2022)

Multi-Augmentation for Efficient Visual Representation Learning for Self-supervised Pre-training. - Van-Nhiem Tran; Chi-En Huang; Shen-Hsuan Liu; Kai-Lin Yang; Timothy Ko; Yung-Hui Li (CoRR, 2022)

Self-Supervised Learning Framework toward State-of-the-Art Iris Image Segmentation. - Wenny Ramadha Putri; Shen-Hsuan Liu; Muhammad Saqlain Aslam; Yung-Hui Li; Chin-Chen Chang 001; Jia-Ching Wang (Sensors, 2022)

Heuristic Attention Representation Learning for Self-Supervised Pretraining. - Van-Nhiem Tran; Shen-Hsuan Liu; Yung-Hui Li; Jia-Ching Wang (Sensors, 2022)

Multi-view and multi-augmentation for self-supervised visual representation learning. - Van-Nhiem Tran; Chi-En Huang; Shen-Hsuan Liu; Muhammad Saqlain Aslam; Kai-Lin Yang; Yung-Hui Li; Jia-Ching Wang (Appl. Intell., 2024)

HAPiCLR: heuristic attention pixel-level contrastive loss representation learning for self-supervised pretraining. - Van-Nhiem Tran; Shen-Hsuan Liu; Chi-En Huang; Muhammad Saqlain Aslam; Kai-Lin Yang; Yung-Hui Li; Jia-Ching Wang (Vis. Comput., 2024)