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]

AIM Lab. News

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International Workshop on Digital Forensic and Watermarking (IWDW) 2018 took place 22-24 Oct, 2018, in the Maison Glad, Jeju, Korea. Professor Chang D. Yoo was served...
In this fall semester of this year, AIM lab has 5 new master students and 1 new Ph.D student. Welcome to our AIM lab!!
TEAM_ALEX won in the challenge of Perceptual Image Restoration and Manipulation (PIRM) 2018 in conjuction with ECCV 2018, that is track of 'Perceptual Image Enhancement on...
Machine Learning Tutorial (MLT) 2018 took place 6-8 August, 2018, in the N1, Kaist, Daejon, Korea. Professor Chang D. Yoo was served as the organizing committee. m...

Recently Accepted Papers

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Kangmin Bae, Minuk Ma, Hyunjun Jang, Minjeong Ju, Hyoungwoo Park, and Chang D. Yoo, "ImaGAN: Unsupervised Training of Conditional Joint CycleGAN for Transferring Style wit...
Sunghun Kang, Junyeong Kim, Hyunsoo Choi, Sungjin Kim and Chang D. Yoo, "Pivot Correlational Neural Network for Multimodal Video Categorization", European Conference on Co...
Sanghyuk Park, Hyunsin Park, and Chang D. Yoo, "Complex Video Scene Analysis using Kernelized Collaborative Behavior Pattern Learning based on Hierarchical Representative ...
OH CHUL KWON, Junyeong Kim, Chang D. Yoo, ACTION RECOGNITION: FIRST-AND SECOND-ORDER 3D FEATURE IN BI-DIRECTIONAL ATTENTION NETWORK, International Conference on Image Proc...