125 citations · 201 across the 14 of their papers we have counts for
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cs.CV2019★ 125 cited
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…
cs.LG2019
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…
cs.LG2019
Boosting Network Weight Separability via Feed-Backward Reconstruction
Jongmin Yu, Hyeontaek Oh
This paper proposes a new evaluation metric and boosting method for weight separability in neural network design. In contrast to general visual recognition methods designed to enco…