125 citations · 129 across the 4 of their papers we have counts for
5 papers
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles
Younkwan Lee, Jihyo Jeon, Jongmin Yu +1
Traffic scene recognition, which requires various visual classification tasks, is a critical ingredient in autonomous vehicles. However, most existing approaches treat each relevan…
Predictively Encoded Graph Convolutional Network for Noise-Robust Skeleton-based Action Recognition
Jongmin Yu, Yongsang Yoon, Moongu Jeon
In skeleton-based action recognition, graph convolutional networks (GCNs), which model human body skeletons using graphical components such as nodes and connections, have achieved…
Unsupervised Pixel-level Road Defect Detection via Adversarial Image-to-Frequency Transform
Jongmin Yu, Duyong Kim, Younkwan Lee +1
In the past few years, the performance of road defect detection has been remarkably improved thanks to advancements on various studies on computer vision and deep learning. Althoug…
Drivers Drowsiness Detection using Condition-Adaptive Representation Learning Framework
Jongmin Yu, Sangwoo Park, Sangwook Lee +1
We propose a condition-adaptive representation learning framework for the driver drowsiness detection based on 3D-deep convolutional neural network. The proposed framework consists…
Boosting Mapping Functionality of Neural Networks via Latent Feature Generation based on Reversible Learning
Jongmin Yu
This paper addresses a boosting method for mapping functionality of neural networks in visual recognition such as image classification and face recognition. We present reversible l…