2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CV2022★ 2 cited
Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity
Qingsong Yan, Qiang Wang, Kaiyong Zhao +3
Existing learning-based multi-view stereo (MVS) methods rely on the depth range to build the 3D cost volume and may fail when the range is too large or unreliable. To address this…
cs.DC2020
A Quantitative Survey of Communication Optimizations in Distributed Deep Learning
Shaohuai Shi, Zhenheng Tang, Xiaowen Chu +3
Nowadays, large and complex deep learning (DL) models are increasingly trained in a distributed manner across multiple worker machines, in which extensive communications between wo…
cs.DC2018
MG-WFBP: Efficient Data Communication for Distributed Synchronous SGD Algorithms
Shaohuai Shi, Xiaowen Chu, Bo Li
Distributed synchronous stochastic gradient descent has been widely used to train deep neural networks on computer clusters. With the increase of computational power, network commu…