34 citations · 127 across the 17 of their papers we have counts for
4 papers · 1 filter
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…
Deep Contextual Recurrent Residual Networks for Scene Labeling
T. Hoang Ngan Le, Chi Nhan Duong, Ligong Han +3
Designed as extremely deep architectures, deep residual networks which provide a rich visual representation and offer robust convergence behaviors have recently achieved exceptiona…
Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation
Ngan Le, Kha Gia Quach, Khoa Luu +2
Variational Level Set (LS) has been a widely used method in medical segmentation. However, it is limited when dealing with multi-instance objects in the real world. In addition, it…
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…