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20162026
most citedShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks

26 citations · 152 across the 53 of their papers we have counts for

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Showing 2017 · cs.CVShow all

6 papers · 2 filters

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.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.CV2017

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…

cs.CV2017

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…

cs.CV2017★ 18 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.CV2017

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…