23 citations · 33 across the 7 of their papers we have counts for
5 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…
Towards a Deep Learning Framework for Unconstrained Face Detection
Yutong Zheng, Chenchen Zhu, Khoa Luu +3
Robust face detection is one of the most important pre-processing steps to support facial expression analysis, facial landmarking, face recognition, pose estimation, building of 3D…
Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines
Chi Nhan Duong, Khoa Luu, Kha Gia Quach +1
Modeling the face aging process is a challenging task due to large and non-linear variations present in different stages of face development. This paper presents a deep model appro…