Lab Members
Current Students
Master's Students
彭昶得
1.5 st Year鍾佳妤
2st Year陳柏安
2st Year張耘翰
2st Year陳品樺
2st Year林昱緯
2st Year顏福翔
2st Year游筑伊
1st Year謝銘元
1st Year連翊安
1st Year徐嵩德
1st Year劉冠承
1st Year陳毅
1st YearUndergraduate Students
蘇賢晉
林珈丞
張榮翰
曾昭諺
蕭學應
劉建陞
蔡杰宇
Graduated Master & Thesis
2025
適用於電子紙顯示器色彩濾光陣列的深度色彩影像抖動網路
Deep Color Image Dithering Network for Electronic Paper Displays with Color Filter Arrays
結合全域光譜注意力之多階段空間-光譜轉換模型於高光譜影像修復之研究
GSA-MSSFormer: A Multi-Stage Spatial-Spectral Transformer with Global Spectral Attention for Hyperspectral Image Restoration
基於階層式空間光譜緊密關聯性Transformer之高光譜與多光譜影像融合
Hierarchical Spatial-Spectral Dense Correlated Transformer for Hyperspectral and Multispectral Image Fusion
基於混合擴張卷積及卷積注意力模組的即時車道線偵測深度學習網路
Real-time Lane Detection Based on Hybrid Dilated Convolution and Convolutional Block Attention Module
SA-FBCNN：一種具空間自適應性與彈性的盲式卷積神經網路於JPEG影像壓縮雜訊去除之研究
SA-FBCNN: A Spatially Adaptive and Flexible Blind Convolutional Neural Network for JPEG Compression Artifact Removal
2024
基於 Retinex 理論之輕量化自監督式影像節能顯示深度學習網路
Lightweight Retinex-based Self-Supervised Deep Learning Network for Power-Efficient Image Display
2023
基於雙重注意力機制之逆半色調深度學習網路
Deep Inverse Halftoning Network based on Dual Attention Mechanisms
基於雙重注意力機制之視網膜血管分割深度學習網路
Deep Retinal Vessel Segmentation Network based on Dual Attention Mechanism
2022
用於高光譜和多光譜影像融合的知識蒸餾師生網路
Knowledge Distillation Teacher-Student Network for Hyperspectral and Multispectral Image Fusion
基於雨嵌入一致性和注意力機制之單張影像去雨
Single Image Deraining Using Rain Embedding Consistency and Attention Mechanism
基於 SwinTransformer 及深度學習網路之高光譜影像融合
SwinDFN：Deep Hyperspectral and Multispectral Image Fusion based on SwinTransformer
基於非監督式生成對抗網路及對比學習之水下影像品質回復
Unsupervised Generative Adversarial Network and Contrastive Learning for Underwater Image Restoration
2021
基於非監督式跨領域深度學習之單張影像雜訊去除
Unsupervised Cross Domain Deep Learning for Single Image Noise Removal
基於變分自動編碼器之解糾纏模型設計與應用:單細胞RNA定序之聚類與細胞擾動之預測
Variational autoencoder based disentangle model design and application: scRNA-seq clustering and cell perturbation prediction