Evan Ho
Loading...
AboutMe Works Skills Laboratory Education Experience Hobbies
Evan Ho




About Me
Hello! I'm Evan Ho, a master's student at National Tsing Hua University (NTHU) in Taiwan. I major in Computer Science and am part of the Computer Vision Lab. My research focuses on image anomaly detection. I'm currently participating in an exchange program at the University of Saskatchewan, Canada. I’m excited to continue learning and exploring new opportunities in the field.

This is a self introduction made in 2018 using BootStrap, OpenLayers, Font Awesome and Chart.js.



Works
Conference Paper
  • Lin, S. C., Lee, H. W., Hsieh, Y. H., Ho, C. Y., & Lai, S. H. (2023). Masked Attention ConvNeXt Unet with Multi-Synthesis Dynamic Weighting for Anomaly Detection and Localization[LINK]
  • Hsieh, C.-M., Ho, C.-Y., Kung, H.-K., Chan, H.-Y., Tsai, M.-H. and Tsai, Y.-C. (2020). Track Similarity-based Typhoon Search Engine for Disaster Preparedness. 2020 Proceedings of the 37th ISARC, Kitakyushu, Japan. October 27-29. doi:10.22260/ISARC2020/0188[LINK]
Workshop
  • 2nd Place in MultiSports Challenge, ECCV 2022 DeeperAction Challenge and Workshop on Detailed Video Action Understanding and Anomaly Recognition[LINK]
Journal Paper
  • Kung, H.-K. , Hsieh, C.-M., Ho, C.-Y., Tsai, Y.-C. Tsai, M.-H., Chan, H.-Y. (2021) DataAugmented Hybrid Named Entity Recognition for Disaster Management by Transfer Learning, Computing and Artificial Intelligence, Appl. Sci. 2020, xx, 5; doi:10.3390/appxx010005[LINK]
  • Tsai, M.-H., Chan, H.-Y., Hsieh, C.-M., Ho, C.-Y., Kung, H.-K., Tsai, Y.-C. and Cho, I.-C. (2019). Historical Typhoon Search Engine Based on Track Similarity. International Journal of Environmental Research and Public Health, 16(24), 4879. doi:10.3390/ijerph16244879[LINK]
Acknowledgement
  • Tsai, M. H., Chan, H. Y., & Liu, L. Y. (2020). Conversation-Based School Building Inspection Support System. Applied Sciences, 10(11), 3739.[LINK]
  • Chana, H. Y., Liua, L. Y., & Tsaia, M. H. (2019). A Conversation-based System for School Building Inspections. In ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction (Vol. 36, pp. 194-200). IAARC Publications.[LINK]
Practice
  • D3.js Crossfilter Practice [LINK]
  • D3.js Line Chart Practice [LINK]
  • D3.js Line Chart Practice 2 [LINK]
  • D3.js Line Chart Practice 3 [LINK]
  • Openlayers Practice [LINK]


Skills

Computer Vision

  • Taking Advanced Computer Vision Course in NTHU (A)
  • Building Deep Learning Models in Pytorch
  • Critical Thinking, Model/Module/Hyperparameters Adjustment

Image Anomaly Detection

  • Reasearch Topic in Master Program
  • Knowing Domain Knowledge
  • Thesis: Multi-instance Anomaly Detection

Comoputer Graphics

  • Taking Advanced Computer Graphics Course in NTHU (A+)
  • Shader, Lighting Skills, OpenGL Programming

Website

  • OpenLayers ─ Interactive Map
  • Dashboard ─ Data Visualization

R Programming

  • Data Analysis
  • Data Process, EDA
  • Text Mining

Python

  • Spatial Analysis
  • Web Application Developing

C++

  • Programming Foundation
  • Data Structure, Algorithm
  • Socket Programming

ArcMap

  • Shapefile Process
  • Geographical Manipulation

Java

  • Window application building.
  • Object Oriented System Programming


Laboratory

CVLab, NTHU

2022 April. ~ 2025 Jan.

Peculab, NTU

2018 Sep. ~ 2022 Jan.

HCILab, NTUST

2018 Sep. ~ 2022 Jan.


experience Education
2025 2021 2017
2014
2011


experience Experience


Hobbies
Digital Painting
I like to try different style of painting!
Knitting
Happy Knitting! Still learning!
Guitar
My favorite one ,
especially Fingerstyle.
Idol:  Sungha Jung
K-Pop
Life is Music!