63 citations
- Fudan UniversityCN20 papers
- Huashan HospitalCN2 papers
- Sichuan UniversityCN2 papers
- Baidu (China)CN1 paper
- Fujian University of TechnologyCN1 paper
- Harbin Institute of TechnologyCN1 paper
- Helmholtz MunichDE1 paper
- Indian Statistical InstituteIN1 paper
- InsermFR1 paper
- Institute for Scientific InterchangeIT1 paper
- Lancaster UniversityGB1 paper
- Massey UniversityNZ1 paper
16 papers
MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain
Ziqi Yu, Xiaoyang Han, Shengjie Zhang +3
Segmenting the fine structure of the mouse brain on magnetic resonance (MR) images is critical for delineating morphological regions, analyzing brain function, and understanding th…
GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition
Jia-Xin Ye, Xin-Cheng Wen, Xuan-Ze Wang +5
In human-computer interaction, Speech Emotion Recognition (SER) plays an essential role in understanding the user's intent and improving the interactive experience. While similar s…
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark
Zhizhong Huang, Junping Zhang, Hongming Shan
To minimize the impact of age variation on face recognition, age-invariant face recognition (AIFR) extracts identity-related discriminative features by minimizing the correlation b…
Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence
Haibo Yang, Shengjie Zhang, Xiaoyang Han +4
Small lesions in magnetic resonance imaging (MRI) images are crucial for clinical diagnosis of many kinds of diseases. However, the MRI quality can be easily degraded by various no…
Analytic Investigation for Spatio-temporal Patterns Propagation in Spiking Neural Networks
Ning Hua, Xiangnan He, Wenlian Lu +1
Based upon the moment closure approach, a Gaussian random field is constructed to quantitatively and analytically characterize the dynamics of a random point field. The approach pr…
Improving Entity Linking through Semantic Reinforced Entity Embeddings
Feng Hou, Ruili Wang, Jun He +1
Entity embeddings, which represent different aspects of each entity with a single vector like word embeddings, are a key component of neural entity linking models. Existing entity…