12 citations · 24 across the 4 of their papers we have counts for
4 papers
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…
FaceLiVT: Face Recognition using Linear Vision Transformer with Structural Reparameterization For Mobile Device
Novendra Setyawan, Chi-Chia Sun, Mao-Hsiu Hsu +2
This paper introduces FaceLiVT, a lightweight yet powerful face recognition model that integrates a hybrid Convolution Neural Network (CNN)-Transformer architecture with an innovat…
MicroViT: A Vision Transformer with Low Complexity Self Attention for Edge Device
Novendra Setyawan, Chi-Chia Sun, Mao-Hsiu Hsu +2
The Vision Transformer (ViT) has demonstrated state-of-the-art performance in various computer vision tasks, but its high computational demands make it impractical for edge devices…