Chae Young Lee (이채영)
[publications] [CV]
About me
I am a second year Ph.D. candidate in Computer Science at Stanford co-advised by Professors Zerina Kapetanovic and Sara Achour. My research interest is in energy-efficient machine learning and mobile embedded systems.
Before Stanford, I received a B.S. in Electrical Engineering & Computer Science at Yale, where I worked with Professor Lin Zhong on 5G Cloud RAN.
Publications
Conference Proceedings
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CLEval:
Character-Level Evaluation for Text
Detection and Recognition
Task
Youngmin Baek, Daehyun Nam, Sungrae Park, Junyeop Lee, Seung Shin, Jeonghun Baek, Chae Young Lee, Hwalsuk Lee
CVPR Text and Documents in the Deep Learning Era Workshop, 2020
[code]
-
TedEval:
A Fair Evaluation Metric for Scene
Text Detectors
Chae Young Lee, Youngmin Baek, Hwalsuk Lee
ICDAR Workshop on Industrial Applications of Document Analysis and Recognition, 2019
[code] [slides]
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Conditional
WaveGAN
Chae Young Lee, Anoop Toffy, Gue Jun Jung, Woo-Jin Han
TensorFlow Korea Conference, 2018
[code] [slides] [blog]
Other Publications
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Diagnosis Method and Apparatus for
Neurodegenerative Diseases Based on Deep
Learning Network
Chae Young Lee
Korea Patent (KR 1019363020000), 2019