16 citations · 24 across the 7 of their papers we have counts for
5 papers · 1 filter
Bas-relief Generation from Point Clouds Based on Normal Space Compression with Real-time Adjustment on CPU
Jianhui Nie, Wenkai Shi, Ye Liu +4
Bas-relief generation based on 3d models is a hot topic in computer graphics. State-of-the-art algorithms take a mesh surface as input, but real-time interaction via CPU cannot be…
Point cloud ridge-valley feature enhancement based on position and normal guidance
Jianhui Nie, Zhaochen Zhang, Ye Liu +3
Ridge-valley features are important elements of point clouds, as they contain rich surface information. To recognize these features from point clouds, this paper introduces an extr…
ADASS: Adaptive Sample Selection for Training Acceleration
Shen-Yi Zhao, Hao Gao, Wu-Jun Li
Stochastic gradient decent~(SGD) and its variants, including some accelerated variants, have become popular for training in machine learning. However, in all existing SGD and its v…
On the Convergence of Memory-Based Distributed SGD
Shen-Yi Zhao, Hao Gao, Wu-Jun Li
Distributed stochastic gradient descent~(DSGD) has been widely used for optimizing large-scale machine learning models, including both convex and non-convex models. With the rapid…
Quantized Epoch-SGD for Communication-Efficient Distributed Learning
Shen-Yi Zhao, Hao Gao, Wu-Jun Li
Due to its efficiency and ease to implement, stochastic gradient descent (SGD) has been widely used in machine learning. In particular, SGD is one of the most popular optimization…