21 citations
- National Taipei UniversityTW7 papers
- National Yang Ming Chiao Tung UniversityTW7 papers
- National Chung Cheng UniversityTW5 papers
- National University of FormosaAR5 papers
- National Cheng Kung UniversityTW4 papers
- Chung Yuan Christian UniversityTW3 papers
- National Synchrotron Radiation Research CenterTW2 papers
- Academia SinicaTW1 paper
- AGH University of KrakowPL1 paper
- Bryansk State Technical UniversityRU1 paper
- Chinese Academy of SciencesCN1 paper
- Dubna State UniversityRU1 paper
28 papers
CoDAT: Collaborative Dual-Attention Transformer with Low-Cost Temporal Modeling for Efficient Edge Action Recognition
Novendra Setyawan, Chi-Chia Sun, Mao-Hsiu Hsu +3
Real-time human action recognition on Internet-of-Things (IoT) edge devices requires models that capture rich spatio-temporal cues within strict latency, memory, and power envelope…
MicroViTv2: Beyond the FLOPS for Edge Energy-Friendly Vision Transformers
Novendra Setyawan, Chi-Chia Sun, Mao-Hsiu Hsu +2
The Vision Transformer (ViT) achieves remarkable accuracy across visual tasks but remains computationally expensive for edge deployment. This paper presents MicroViTv2, a lightweig…
FaceLiVTv2: An Improved Hybrid Architecture for Efficient Mobile Face Recognition
Novendra Setyawan, Chi-Chia Sun, Mao-Hsiu Hsu +2
Lightweight face recognition is increasingly important for deployment on edge and mobile devices, where strict constraints on latency, memory, and energy consumption must be met al…
Fast Person Detection Using YOLOX With AI Accelerator For Train Station Safety
Mas Nurul Achmadiah, Novendra Setyawan, Achmad Arif Bryantono +2
Recently, Image processing has advanced Faster and applied in many fields, including health, industry, and transportation. In the transportation sector, object detection is widely…
Energy-Efficient Fast Object Detection on Edge Devices for IoT Systems
Mas Nurul Achmadiah, Afaroj Ahamad, Chi-Chia Sun +1
This paper presents an Internet of Things (IoT) application that utilizes an AI classifier for fast-object detection using the frame difference method. This method, with its shorte…
RepSFNet : A Single Fusion Network with Structural Reparameterization for Crowd Counting
Mas Nurul Achmadiah, Chi-Chia Sun, Wen-Kai Kuo +1
Crowd counting remains challenging in variable-density scenes due to scale variations, occlusions, and the high computational cost of existing models. To address these issues, we p…