18 citations · 31 across the 4 of their papers we have counts for
5 papers · 1 filter
MEDN: Motion-Emotion Feature Decoupling Network for Micro-Expression Recognition
Chenxing Hu, Kun Xie, Qiguang Miao +3
Unlike macro-expression, micro-expression does not follow a strictly consistent mapping rule between emotions and Action Units (AUs). As a result, some micro-expressions share iden…
Fast and Accurate: Structure Coherence Component for Face Alignment
Beier Zhu, Chunze Lin, Quan Wang +2
In this paper, we propose a fast and accurate coordinate regression method for face alignment. Unlike most existing facial landmark regression methods which usually employ fully co…
FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos
Keqiang Sun, Wayne Wu, Tinghao Liu +5
Recently, facial landmark detection algorithms have achieved remarkable performance on static images. However, these algorithms are neither accurate nor stable in motion-blurred vi…
Make a Face: Towards Arbitrary High Fidelity Face Manipulation
Shengju Qian, Kwan-Yee Lin, Wayne Wu +5
Recent studies have shown remarkable success in face manipulation task with the advance of GANs and VAEs paradigms, but the outputs are sometimes limited to low-resolution and lack…
Look at Boundary: A Boundary-Aware Face Alignment Algorithm
Wayne Wu, Chen Qian, Shuo Yang +3
We present a novel boundary-aware face alignment algorithm by utilising boundary lines as the geometric structure of a human face to help facial landmark localisation. Unlike the c…