![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
Robust generative adversarial network
Generative Adversarial Networks (GANs) are one of the most popular and powerful models to learn the complex high dimensional distributions. However, they usually suffer from instability and generalization issu...
-
Chapter and Conference Paper
Part-Wise Topology Graph Convolutional Network for Skeleton-Based Action Recognition
Action recognition based on skeleton data has attracted extensive attention in computer vision. Graph convolutional network (GCN) has achieved remarkable performance by modeling the human skeleton as a spatial...
-
Article
Improving generative adversarial networks with simple latent distributions
Generative Adversarial Networks (GANs) have drawn great attention recently since they are the powerful models to generate high-quality images. Although GANs have achieved great success, they usually suffer fro...
-
Chapter and Conference Paper
Semantic-Based Road Segmentation for High-Definition Map Construction
The development of autonomous driving technology proposes higher requirements of the fidelity of the high-definition maps (HD maps). The construction of HD map based on orthophotos generated from panoramic ima...
-
Chapter and Conference Paper
Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors
Cardiac segmentation from late gadolinium enhancement MRI is an important task in clinics to identify and evaluate the infarction of myocardium. The automatic segmentation is however still challenging, due to ...
-
Chapter and Conference Paper
The Sixth Visual Object Tracking VOT2018 Challenge Results
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers...
-
Article
\(H_{\infty }\) Estimation for Markovian Jump Neural Networks With Quantization, Transmission Delay and Packet Dropout
This paper is concerned with the problem of robust \(H_{\infty }\) ...