8 citations · 12 across the 2 of their papers we have counts for
3 papers
cs.CV2020
Collaborative Distillation for Ultra-Resolution Universal Style Transfer
Huan Wang, Yijun Li, Yuehai Wang +2
Universal style transfer methods typically leverage rich representations from deep Convolutional Neural Network (CNN) models (e.g., VGG-19) pre-trained on large collections of imag…
cs.CV2019★ 4 cited
Triplet Distillation for Deep Face Recognition
Yushu Feng, Huan Wang, Daniel T. Yi +1
Convolutional neural networks (CNNs) have achieved a great success in face recognition, which unfortunately comes at the cost of massive computation and storage consumption. Many c…
cs.CV2018★ 8 cited
Structured Pruning for Efficient ConvNets via Incremental Regularization
Huan Wang, Qiming Zhang, Yuehai Wang +1
Parameter pruning is a promising approach for CNN compression and acceleration by eliminating redundant model parameters with tolerable performance loss. Despite its effectiveness,…