521 citations · 1k across the 29 of their papers we have counts for
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cs.CV2017
A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts
Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu +2
Most existing zero-shot learning methods consider the problem as a visual semantic embedding one. Given the demonstrated capability of Generative Adversarial Networks(GANs) to gene…
cs.CV2017★ 11 cited
Cartoonish sketch-based face editing in videos using identity deformation transfer
Long Zhao, Fangda Han, Xi Peng +4
We address the problem of using hand-drawn sketches to create exaggerated deformations to faces in videos, such as enlarging the shape or modifying the position of eyes or mouth. T…
cs.CV2017★ 22 cited
Reconstruction-Based Disentanglement for Pose-invariant Face Recognition
Xi Peng, Xiang Yu, Kihyuk Sohn +2
Deep neural networks (DNNs) trained on large-scale datasets have recently achieved impressive improvements in face recognition. But a persistent challenge remains to develop method…