Artificial Intelligence & Machine Learning Lab. (AIM) 

(formerly Statistical Learning for Signal Processing Lab.) Artificial Intelligence & Machine Learning Lab. was established under the guidance of Professor Chang D. Yoo in 1999, the year he arrived at KAIST. Using various machine learning theories and novel signal processing techniques, signals such as image, text, speech, audio, video, EEG and financial data are processed for longstanding and emerging applications.  


For the Direction to Our Lab, Please Click Here.


 [Lab. Introduction]

  • AI Fairness Research Center Opening Ceremony Admin
  • Our servers. photo by HJ

Recently Accepted Papers

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CVPR 2020 [02-28]
Donghoon Lee, Hyunsin Park, Trung Pham and Chang D. Yoo, "Learning Augmentation Network via Influence Functions", Computer Vision and Pattern Recognition, 2020
CVPR 2020 [02-28]
Junyeong Kim, Minuk Ma, Trung X, Kyungsu Kim and Chang D. Yoo, "Modality Shifting Attention Network for Multi-modal Video Question Answering", Computer Vision and Pattern ...
Hyunsin Park and Chang D. Yoo, "CNN-based Learnable Gammatone Filterbank and Equal-loudness Normalization for Enviornmental Sound Classification", IEEE Signal Processing L...
Thang Vu, Hyunjun Jang, Trung X. Pham, Chang D. Yoo, "Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution", Thirty-third Conference on...

AIM Lab. News

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In this spring semester of this year, AIM lab has 3 new master students. Welcome to our AIM lab!!
Ph.D candidate Seungjae Lee successfully passed his Ph.D defense. Thesis: "Study on Efficient Feature Extraction and Neural Architecture Engineering for Visual Search...
The following seminar was given by Professor C.-C.Jay Kuo from University of Southern California. The title is "From Feedforward-Designed Convolutional Neural Networks (FF...
KAIA Autumn Annual Conference 2019 took place between 14-16 November, 2019, in Yangjae Education and Culture Center, Seoul, Korea. Professor Chang D. Yoo served as t...