activity
20162020
most citedDeep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling

34 citations · 64 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CV2020★ 1 cited

LIAAD: Lightweight Attentive Angular Distillation for Large-scale Age-Invariant Face Recognition

Thanh-Dat Truong, Chi Nhan Duong, Kha Gia Quach +3

Disentangled representations have been commonly adopted to Age-invariant Face Recognition (AiFR) tasks. However, these methods have reached some limitations with (1) the requiremen…

cs.CL2019★ 2 cited

Toponym Identification in Epidemiology Articles - A Deep Learning Approach

MohammadReza Davari, Leila Kosseim, Tien D. Bui

When analyzing the spread of viruses, epidemiologists often need to identify the location of infected hosts. This information can be found in public databases, such as GenBank, how…

cs.CV2018★ 1 cited

Automatic Face Aging in Videos via Deep Reinforcement Learning

Chi Nhan Duong, Khoa Luu, Kha Gia Quach +4

This paper presents a novel approach to synthesize automatically age-progressed facial images in video sequences using Deep Reinforcement Learning. The proposed method models facia…

cs.CV2018★ 3 cited

Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches

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

Face Aging has raised considerable attentions and interest from the computer vision community in recent years. Numerous approaches ranging from purely image processing techniques t…

cs.CV2017

Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning

Chi Nhan Duong, Kha Gia Quach, Khoa Luu +3

This paper presents a novel Subject-dependent Deep Aging Path (SDAP), which inherits the merits of both Generative Probabilistic Modeling and Inverse Reinforcement Learning to mode…

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…