17 citations · 30 across the 3 of their papers we have counts for
4 papers
GenISP: Neural ISP for Low-Light Machine Cognition
Igor Morawski, Yu-An Chen, Yu-Sheng Lin +3
Object detection in low-light conditions remains a challenging but important problem with many practical implications. Some recent works show that, in low-light conditions, object…
NOD: Taking a Closer Look at Detection under Extreme Low-Light Conditions with Night Object Detection Dataset
Igor Morawski, Yu-An Chen, Yu-Sheng Lin +1
Recent work indicates that, besides being a challenge in producing perceptually pleasing images, low light proves more difficult for machine cognition than previously thought. In o…
Raw Image Deblurring
Chih-Hung Liang, Yu-An Chen, Yueh-Cheng Liu +1
Deep learning-based blind image deblurring plays an essential role in solving image blur since all existing kernels are limited in modeling the real world blur. Thus far, researche…
xCos: An Explainable Cosine Metric for Face Verification Task
Yu-Sheng Lin, Zhe-Yu Liu, Yu-An Chen +3
We study the XAI (explainable AI) on the face recognition task, particularly the face verification here. Face verification is a crucial task in recent days and it has been deployed…