112 citations · 783 across the 45 of their papers we have counts for
4 papers · 1 filter
Gradient Harmonized Single-stage Detector
Buyu Li, Yu Liu, Xiaogang Wang
Despite the great success of two-stage detectors, single-stage detector is still a more elegant and efficient way, yet suffers from the two well-known disharmonies during training,…
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation
Hang Zhou, Yu Liu, Ziwei Liu +2
Talking face generation aims to synthesize a sequence of face images that correspond to a clip of speech. This is a challenging task because face appearance variation and semantics…
Beyond Trade-off: Accelerate FCN-based Face Detector with Higher Accuracy
Guanglu Song, Yu Liu, Ming Jiang +3
Fully convolutional neural network (FCN) has been dominating the game of face detection task for a few years with its congenital capability of sliding-window-searching with shared…
Exploring Disentangled Feature Representation Beyond Face Identification
Yu Liu, Fangyin Wei, Jing Shao +3
This paper proposes learning disentangled but complementary face features with minimal supervision by face identification. Specifically, we construct an identity Distilling and Dis…