26 citations · 63 across the 8 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CV2018★ 12 cited
Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview
Lili Huang, Jiefeng Peng, Ruimao Zhang +2
Semantic image parsing, which refers to the process of decomposing images into semantic regions and constructing the structure representation of the input, has recently aroused wid…
cs.LG2018★ 1 cited
Attentive Crowd Flow Machines
Lingbo Liu, Ruimao Zhang, Jiefeng Peng +3
Traffic flow prediction is crucial for urban traffic management and public safety. Its key challenges lie in how to adaptively integrate the various factors that affect the flow ch…
cs.CV2018★ 21 cited
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches
Guangrun Wang, Jiefeng Peng, Ping Luo +2
As an indispensable component, Batch Normalization (BN) has successfully improved the training of deep neural networks (DNNs) with mini-batches, by normalizing the distribution of…