activity
20162019
most citedShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks

26 citations · 46 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV20192 cited

Image Alignment in Unseen Domains via Domain Deep Generalization

Thanh-Dat Truong, Khoa Luu, Chi Nhan Duong +2

Image alignment across domains has recently become one of the realistic and popular topics in the research community. In this problem, a deep learning-based image alignment method…

cs.CV201926 cited

ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks

Chi Nhan Duong, Khoa Luu, Kha Gia Quach +1

Large-scale face recognition in-the-wild has been recently achieved matured performance in many real work applications. However, such systems are built on GPU platforms and mostly…

cs.CV2017

Faster Than Real-time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses

Chandrasekhar Bhagavatula, Chenchen Zhu, Khoa Luu +1

Facial alignment involves finding a set of landmark points on an image with a known semantic meaning. However, this semantic meaning of landmark points is often lost in 2D approach…

cs.CV201718 cited

Temporal Non-Volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition

Chi Nhan Duong, Kha Gia Quach, Khoa Luu +2

Modeling the long-term facial aging process is extremely challenging due to the presence of large and non-linear variations during the face development stages. In order to efficien…

cs.CV2016

Robust Deep Appearance Models

Kha Gia Quach, Chi Nhan Duong, Khoa Luu +1

This paper presents a novel Robust Deep Appearance Models to learn the non-linear correlation between shape and texture of face images. In this approach, two crucial components of…

cs.CV2016

CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection

Chenchen Zhu, Yutong Zheng, Khoa Luu +1

Robust face detection in the wild is one of the ultimate components to support various facial related problems, i.e. unconstrained face recognition, facial periocular recognition,…