103 citations · 623 across the 53 of their papers we have counts for
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cs.LG2017★ 9 cited
TripletGAN: Training Generative Model with Triplet Loss
Gongze Cao, Yezhou Yang, Jie Lei +3
As an effective way of metric learning, triplet loss has been widely used in many deep learning tasks, including face recognition and person-ReID, leading to many states of the art…
cs.CV2017★ 103 cited
Neural Style Transfer: A Review
Yongcheng Jing, Yezhou Yang, Zunlei Feng +3
The seminal work of Gatys et al. demonstrated the power of Convolutional Neural Networks (CNNs) in creating artistic imagery by separating and recombining image content and style.…