6 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.CV2017★ 5 cited
Boundary-sensitive Network for Portrait Segmentation
Xianzhi Du, Xiaolong Wang, Dawei Li +5
Compared to the general semantic segmentation problem, portrait segmentation has higher precision requirement on boundary area. However, this problem has not been well studied in p…
cs.DC2016★ 2 cited
dMath: Distributed Linear Algebra for DL
Steven Eliuk, Cameron Upright, Hars Vardhan +2
The paper presents a parallel math library, dMath, that demonstrates leading scaling when using intranode, internode, and hybrid-parallelism for deep learning (DL). dMath provides…
cs.NE2016★ 6 cited
dMath: A Scalable Linear Algebra and Math Library for Heterogeneous GP-GPU Architectures
Steven Eliuk, Cameron Upright, Anthony Skjellum
A new scalable parallel math library, dMath, is presented in this paper that demonstrates leading scaling when using intranode, or internode, hybrid-parallelism for deep-learning.…