Scholar
Edwin Arkel Rios
Google Scholar ID: flV1k6AAAAAJ
National Chiao Tung University
Citations & Impact
Citations
31
H-index
3
i10-index
1
Publications
8
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition. ICASSP 25
- Down-Sampling Inter-Layer Adapter for Parameter and Computation Efficient Ultra-Fine-Grained Image Recognition. ECCV EFM Workshop 24
- Global-Local Similarity for Efficient Fine-Grained Image Recognition with Vision Transformers. ISCAS 25
- Anime Character Recognition using Intermediate Features Aggregation. ISCAS 2022
- IFACD: Intermediate Features Augmented Contrastive Distillation. ICLR CSS Workshop 2022
Research Experience
- Conducted doctoral research at NYCU focusing on the design of efficient deep learning models.
Education
- Received B.S. degree in Energy Engineering from National Cheng Kung University (NCKU), Tainan, Taiwan, in 2019. Enrolled in National Yang Ming Chiao Tung University (NYCU) to pursue M.S. and Ph.D. degrees in Electrical Engineering and Computer Science (EECS) in 2019 and 2021, respectively. Co-supervised by Professor Bo-Cheng Lai and Professor Min-Chun Hu.
Background
- From Panama, research interests include the design of efficient deep learning models, particularly in time-series heart-rate monitoring, model compression using knowledge distillation and self-supervised learning, and efficient fine-grained image recognition systems.
Co-authors