Minjae Kim

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Junho Kim, Minjae Kim, Hyeon-Woo Kang et al. · arXiv (Cornell University) · 2019 · 300 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +20

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Junho Kim, Minjae Kim, Hyeon-Woo Kang et al. · arXiv (Cornell University) · 2020 · 129 citations · Full text

Engineering, Machine Learning, Image-to-image Translation +20

Direct modeling of raw audio with DNNS for wake word detection

Kenichi Kumatani, Sankaran Panchapagesan, Minhua Wu et al. · 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) · 2017 · 62 citations

Engineering, Machine Learning, Bottleneck Feature Representation +20

A novel approach for denoising and enhancement of extremely low-light video

Minjae Kim, Dubok Park, David K. Han et al. · IEEE Transactions on Consumer Electronics · 2015 · 45 citations

Low-light Video, Deblurring, Image Analysis +15

Movie Recommendation based on User Similarity of Consumption Pattern Change

Minjae Kim, SungHwan Jeon, Hee-Seong Shin et al. · 2019 · 17 citations

Engineering, Machine Learning, Recurrent Neural Network +18