Yong-Guk Kim
Sejong University(KR)
Publications by Year
Research Areas
Face recognition and analysis, Face and Expression Recognition, Video Surveillance and Tracking Methods, Sleep and Work-Related Fatigue, Gaze Tracking and Assistive Technology
Most-Cited Works
- → Attention-based residual autoencoder for video anomaly detection(2022)183 cited
- → Detection of Driver Drowsiness Using 3D Deep Neural Network and Semi-Supervised Gradient Boosting Machine(2017)84 cited
- → Real-time categorization of driver's gaze zone using the deep learning techniques(2016)73 cited
- → Obstacle Avoidance Drone by Deep Reinforcement Learning and Its Racing with Human Pilot(2019)55 cited
- → Optimization and analysis of bioenergy production using machine learning modeling: Multi-layer perceptron, Gaussian processes regression, K-nearest neighbors, and Artificial neural network models(2022)54 cited
- → Attacks and Preventive Measures on Video Surveillance Systems: A Review(2021)53 cited
- → NTIRE 2019 Image Dehazing Challenge Report(2019)51 cited
- → Head pose and gaze direction tracking for detecting a drowsy driver(2014)49 cited
- → Reward-driven U-Net training for obstacle avoidance drone(2019)40 cited
- → Tracking a Driver’s Face against Extreme Head Poses and Inference of Drowsiness Using a Hidden Markov Model(2016)39 cited