Interests 研究興趣
研究重點領域
- Image processing 影像處理
- Machine learning 機器學習
- Computer vision 電腦視覺
- Deep learning 深度學習
研究方向
- Advanced Vision-based ADAS for Autonomous Car
- Few-Shot Learning in Deep Neural Network
- Medical Image Processing and Segmentation (M-NBI & MRI)
- Fake Image/Video and Social Multimedia Identification
- Multidimenional Data Super-Resolution (Image/Video/Multispectral/Hyperspectral)
- Social Media Analysis and Prediction
Introduction 研究簡介

Learning-based Hyperspectral SR (2020-)
[CVGIP 2020]
Deep joint compression and super-resolution low-rank network for fast hyperspectral data transmission,
[IEEE Transactions on Geoscience and Remote Sensing]
DCSN: Deep compressed sensing network for efficient hyperspectral data transmission of miniaturized satellite (submitted)
[Project] [PDF] [GitHub] available soon.
以深度學習為基礎之高光譜/多光譜影像超解析度與壓縮感知技術開發

Vision-based ADAS (2019-)
[IEEE IS3C 2020]
Vehicle Trajectory Prediction based on Social Generative Adversarial Network for Self-Driving Car Applications
[IEEE ICCE-TW 2020]
Learning to Predict Risky Driving Behaviors for Autonomous Driving
[Project] [PDF] [GitHub] available soon.
自駕車視覺系統之危險駕駛行為預測與台灣道路地區資料庫建置。

Fake Image Detection (2018-)
[IEEE ICIP Conference 2019] [Applied Sciences]
Detecting Generated Image Based on Coupled Network with Two-Step Pairwise Learning
[IEEE IS3C Conference 2018]
Learning to Detect Fake Face Images in the Wild
偽造 / 造假 照片偵測!! 打擊假照片、假新聞!

Large-Scale Image Clustering (2016-2017)
[TMM 2018] [ICIP 2017]
[CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data]
[PDF] [Code (coming soon)]
巨量影像資料分群演算法。

Image Deblocking and Super-Resolution (2013-2014)
[TMM 2015] [MMSP 2013]
[Learning-Based Joint Super-Resolution and Deblocking for a Highly Compressed Image]
*MMSP 2013 Top 10% paper award
[Project Page] [PDF] [Matlab Source Code (32-bit only)]
同時去除區塊效應並提高解析度 (放大後不模糊)!
Super-Resolution of Textured Video (2012~2014)
[IEEE Transaction on Image Processing (TIP)] [MMSP 2014]
[Temporally coherent super-resolution of textured video via dynamic texture synthesis]
[Project Page] [PDF] [Matlab Code]
提供動態紋理視訊的超解析度技術 (放大後不模糊)!

Quality Assessment for Image Retargeting (2011~2013)
[IEEE Journal of Selected Topics in Signal Processing] [VCIP 2013]
[Objective quality assessment for image retargeting based on perceptual geometric distortion and information loss]
[Project Page] [PDF] [Matlab Code]
評估影像濃縮技術的品質 (即對這張影像結果作評分)!

Super-Resolution (2010-2011)
[MMSP2011]
[Image super-resolution via feature-based affine transform]
[Project Page] [PDF] [Executable Code (Matlab)]
We provided only implements NLM with the proposed method as an example.
影像超解析度技術依賴於資料庫,我們提出一種方法豐富資料庫的類型,提高放大的效果。

Face Hallucination (2008-2010)
[MMSP2010]
[Face hallucination using Bayesian global estimation and local basis selection]
[Project page] [PDF] [Matlab code & Database]
人臉超解析度放大 (從很小張人臉影像放大到清晰的人臉影像)!
Video Forensics (2007-2008)
[MMSP2008]
[Video forgery detection using the correlation of noise residue]
*Citations > 100
[PDF] [Matlab code] [Database]
視訊的鑑識技術,防止有心人士對影片偽造。

Image Authentication (2006-2007)
[Optical Engineering]
[Image authentication and tampering localization based on watermark embedding in the wavelet domain]
將浮水印藏入影像中並可耐受不同攻擊。