133 citations · 134 across the 2 of their papers we have counts for
5 papers
Compacting, Picking and Growing for Unforgetting Continual Learning
Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu +3
Continual lifelong learning is essential to many applications. In this paper, we propose a simple but effective approach to continual deep learning. Our approach leverages the prin…
IMMVP: An Efficient Daytime and Nighttime On-Road Object Detector
Cheng-En Wu, Yi-Ming Chan, Chien-Hung Chen +2
It is hard to detect on-road objects under various lighting conditions. To improve the quality of the classifier, three techniques are used. We define subclasses to separate daytim…
Data-specific Adaptive Threshold for Face Recognition and Authentication
Hsin-Rung Chou, Jia-Hong Lee, Yi-Ming Chan +1
Many face recognition systems boost the performance using deep learning models, but only a few researches go into the mechanisms for dealing with online registration. Although we c…
Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications
Jia-Hong Lee, Yi-Ming Chan, Ting-Yen Chen +1
Automatic age and gender classification based on unconstrained images has become essential techniques on mobile devices. With limited computing power, how to develop a robust syste…
Unifying and Merging Well-trained Deep Neural Networks for Inference Stage
Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee +2
We propose a novel method to merge convolutional neural-nets for the inference stage. Given two well-trained networks that may have different architectures that handle different ta…