output
20172026
most citedNTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

1.8k citations

Showing 2018Show all

37 papers · 1 filter

cs.IT2018★ 94 cited

Euclidean and Hermitian Hulls of MDS Codes and Their Applications to EAQECCs

Weijun Fang, Fang-Wei Fu, Lanqiang Li +1

In this paper, we construct several classes of maximum distance separable (MDS) codes via generalized Reed-Solomon (GRS) codes and extended GRS codes, where we can determine the di…

cond-mat.mes-hall2018★ 261 cited

Disorder-induced nonlinear Hall effect with time-reversal symmetry

Z. Z. Du, C. M. Wang, Shuai Li +2

The nonlinear Hall effect has opened the door towards deeper understanding of topological states of matter. It can be observed as the double-frequency Hall voltage response to an a…

math.CO2018★ 24 cited

On Inverses of Permutation Polynomials of Small Degree over Finite Fields

Yanbin Zheng, Qiang Wang, Wenhong Wei

Permutation polynomials (PPs) and their inverses have applications in cryptography, coding theory and combinatorial design theory. In this paper, we make a brief summary of the inv…

cs.CV2018★ 188 cited

MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation

Jiawei Zhang, Yuzhen Jin, Jilan Xu +2

Biomedical image segmentation plays a central role in quantitative analysis, clinical diagnosis, and medical intervention. In the light of the fully convolutional networks (FCN) an…

quant-ph2018★ 84 cited

Quantum data compression by principal component analysis

Chao-Hua Yu, Fei Gao, Song Lin +1

Data compression can be achieved by reducing the dimensionality of high-dimensional but approximately low-rank datasets, which may in fact be described by the variation of a much s…

cs.CV2018★ 17 cited

ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples

Xiaojun Jia, Xingxing Wei, Xiaochun Cao +1

Deep neural networks (DNNs) have been demonstrated to be vulnerable to adversarial examples. Specifically, adding imperceptible perturbations to clean images can fool the well trai…