3 papers
cs.NE2020
Learning Sparse Filters in Deep Convolutional Neural Networks with a l1/l2 Pseudo-Norm
Anthony Berthelier, Yongzhe Yan, Thierry Chateau +3
While deep neural networks (DNNs) have proven to be efficient for numerous tasks, they come at a high memory and computation cost, thus making them impractical on resource-limited…
cs.CV2019
Facial Landmark Correlation Analysis
Yongzhe Yan, Stefan Duffner, Priyanka Phutane +4
We present a facial landmark position correlation analysis as well as its applications. Although numerous facial landmark detection methods have been presented in the literature, f…
cs.CV2019
2D Wasserstein Loss for Robust Facial Landmark Detection
Yongzhe Yan, Stefan Duffner, Priyanka Phutane +4
The recent performance of facial landmark detection has been significantly improved by using deep Convolutional Neural Networks (CNNs), especially the Heatmap Regression Models (HR…