133 citations · 138 across the 3 of their papers we have counts for
8 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…
Learning Conditional Random Fields with Augmented Observations for Partially Observed Action Recognition
Shih-Yao Lin, Yen-Yu Lin, Chu-Song Chen +1
This paper aims at recognizing partially observed human actions in videos. Action videos acquired in uncontrolled environments often contain corrupt frames, which make actions part…
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…
Stingray Detection of Aerial Images Using Augmented Training Images Generated by A Conditional Generative Model
Yi-Min Chou, Chien-Hung Chen, Keng-Hao Liu +1
In this paper, we present an object detection method that tackles the stingray detection problem based on aerial images. In this problem, the images are aerially captured on a sea-…
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…