Dae Hoe Kim

Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition

Dae Hoe Kim, Wissam J. Baddar, Jinhyeok Jang et al. · IEEE Transactions on Affective Computing · 2017 · 254 citations

Engineering, Machine Learning, Biometrics +18

Micro-Expression Recognition with Expression-State Constrained Spatio-Temporal Feature Representations

Dae Hoe Kim, Wissam J. Baddar, Yong Man Ro · 2016 · 197 citations

Engineering, Machine Learning, Micro-expression Recognition +16

Classifier ensemble generation and selection with multiple feature representations for classification applications in computer-aided detection and diagnosis on mammography

Jae Young Choi, Dae Hoe Kim, Konstantinos N. Plataniotis et al. · Expert Systems with Applications · 2015 · 45 citations

Engineering, Machine Learning, Classifier Ensemble Generation +16

Latent feature representation with 3-D multi-view deep convolutional neural network for bilateral analysis in digital breast tomosynthesis

Dae Hoe Kim, Seong Tae Kim, Yong Man Ro · 2016 · 43 citations

Convolutional Neural Network, Breast Masses, Machine Learning +22

CIPF: Crossing Intention Prediction Network based on Feature Fusion Modules for Improving Pedestrian Safety

Je-Seok Ham, Dae Hoe Kim, Jin-Young Moon · 2023 · 40 citations

Artificial Intelligence, Engineering, Machine Learning +21