3 papers
cs.CV2020
Face Super-Resolution Guided by 3D Facial Priors
Xiaobin Hu, Wenqi Ren, John LaMaster +5
State-of-the-art face super-resolution methods employ deep convolutional neural networks to learn a mapping between low- and high- resolution facial patterns by exploring local app…
cs.AI2019
Towards Brain-inspired System: Deep Recurrent Reinforcement Learning for Simulated Self-driving Agent
Jieneng Chen, Jingye Chen, Ruiming Zhang +1
An effective way to achieve intelligence is to simulate various intelligent behaviors in the human brain. In recent years, bio-inspired learning methods have emerged, and they are…
cs.CV2018
Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function
Xiaobin Hu, Hongwei Li, Yu Zhao +3
For many segmentation tasks, especially for the biomedical image, the topological prior is vital information which is useful to exploit. The containment/nesting is a typical inter-…