Parametric Study of Performance of Remote Photopletysmography System. - Edwin Arkel Rios; Chih-Chieh Lai; Bo-Rong Yan; Bo-Cheng Lai (ISCAS, 2021)

DAF: re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognition. - Edwin Arkel Rios; Wen-Huang Cheng; Bo-Cheng Lai (CoRR, 2021)

Anime Character Recognition using Intermediate Features Aggregation. - Edwin Arkel Rios; Min-Chun Hu 001; Bo-Cheng Lai (ISCAS, 2022)

DLPrPPG: Development and Design of Deep Learning Platform for Remote Photoplethysmography. - Bo-Rong Yan; Edwin Arkel Rios; Wen-Hsien Lee; Bo-Cheng Lai (ISCAS, 2022)

Down-Sampling Inter-layer Adapter for Parameter and Computation Efficient Ultra-Fine-Grained Image Recognition. - Edwin Arkel Rios; Femiloye Oyerinde; Min-Chun Hu 001; Bo-Cheng Lai (ECCV Workshops (11), 2024)

Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition. - Edwin Arkel Rios; Jansen Christopher Yuanda; Vincent Leon Ghanz; Cheng-Wei Yu; Bo-Cheng Lai; Min-Chun Hu 001 (ICASSP, 2025)

Global-Local Similarity for Efficient Fine-Grained Image Recognition with Vision Transformers. - Edwin Arkel Rios; Min-Chun Hu 001; Bo-Cheng Lai (ISCAS, 2025)

Fine-Grained Image Recognition from Scratch with Teacher-Guided Data Augmentation. - Edwin Arkel Rios; Fernando Mikael; Oswin Gosal; Femiloye Oyerinde; Hao-Chun Liang; Bo-Cheng Lai; Min-Chun Hu 001 (CoRR, 2025)