1k citations · 1.5k across the 16 of their papers we have counts for
6 papers · 1 filter
Elastic-Link for Binarized Neural Network
Jie Hu, Ziheng Wu, Vince Tan +3
Recent work has shown that Binarized Neural Networks (BNNs) are able to greatly reduce computational costs and memory footprints, facilitating model deployment on resource-constrai…
Learning Versatile Convolution Filters for Efficient Visual Recognition
Kai Han, Yunhe Wang, Chang Xu +3
This paper introduces versatile filters to construct efficient convolutional neural networks that are widely used in various visual recognition tasks. Considering the demands of ef…
Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation
Jiaming Liu, Ming Lu, Kaixin Chen +7
Internet video delivery has undergone a tremendous explosion of growth over the past few years. However, the quality of video delivery system greatly depends on the Internet bandwi…
OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework
Dengsheng Chen, Vince Tan, Zhilin Lu +1
Recent developments in Artificial Intelligence techniques have enabled their successful application across a spectrum of commercial and industrial settings. However, these techniqu…
Dynamic Resolution Network
Mingjian Zhu, Kai Han, Enhua Wu +4
Deep convolutional neural networks (CNNs) are often of sophisticated design with numerous learnable parameters for the accuracy reason. To alleviate the expensive costs of deployin…
Transformer in Transformer
Kai Han, An Xiao, Enhua Wu +3
Transformer is a new kind of neural architecture which encodes the input data as powerful features via the attention mechanism. Basically, the visual transformers first divide the…