67 citations · 191 across the 28 of their papers we have counts for
4 papers · 1 filter
PipeDiT: Accelerating Diffusion Transformers in Video Generation with Task Pipelining and Model Decoupling
Sijie Wang, Qiang Wang, Shaohuai Shi
Video generation has been advancing rapidly, and diffusion transformer (DiT) based models have demonstrated remark- able capabilities. However, their practical deployment is of- te…
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks
Qiang Wang, Shaohuai Shi, Shizhen Zheng +2
Deep neural networks (DNNs) have achieved great success in the area of computer vision. The disparity estimation problem tends to be addressed by DNNs which achieve much better pre…
FADNet: A Fast and Accurate Network for Disparity Estimation
Qiang Wang, Shaohuai Shi, Shizhen Zheng +2
Deep neural networks (DNNs) have achieved great success in the area of computer vision. The disparity estimation problem tends to be addressed by DNNs which achieve much better pre…
Speeding up Convolutional Neural Networks By Exploiting the Sparsity of Rectifier Units
Shaohuai Shi, Xiaowen Chu
Rectifier neuron units (ReLUs) have been widely used in deep convolutional networks. An ReLU converts negative values to zeros, and does not change positive values, which leads to…