86 citations · 89 across the 5 of their papers we have counts for
5 papers · 1 filter
SASMU: boost the performance of generalized recognition model using synthetic face dataset
Chia-Chun Chung, Pei-Chun Chang, Yong-Sheng Chen +2
Nowadays, deploying a robust face recognition product becomes easy with the development of face recognition techniques for decades. Not only profile image verification but also the…
Self-Supervised Robustifying Guidance for Monocular 3D Face Reconstruction
Hitika Tiwari, Min-Hung Chen, Yi-Min Tsai +5
Despite the recent developments in 3D Face Reconstruction from occluded and noisy face images, the performance is still unsatisfactory. Moreover, most existing methods rely on addi…
Learning Facial Representations from the Cycle-consistency of Face
Jia-Ren Chang, Yong-Sheng Chen, Wei-Chen Chiu
Faces manifest large variations in many aspects, such as identity, expression, pose, and face styling. Therefore, it is a great challenge to disentangle and extract these character…
Deep Competitive Pathway Networks
Jia-Ren Chang, Yong-Sheng Chen
In the design of deep neural architectures, recent studies have demonstrated the benefits of grouping subnetworks into a larger network. For examples, the Inception architecture in…
Batch-normalized Maxout Network in Network
Jia-Ren Chang, Yong-Sheng Chen
This paper reports a novel deep architecture referred to as Maxout network In Network (MIN), which can enhance model discriminability and facilitate the process of information abst…