Search Results for author: Haiyan Wu

Found 11 papers, 2 papers with code

How Can AI Recognize Pain and Express Empathy

no code implementations8 Oct 2021 Siqi Cao, Di Fu, Xu Yang, Pablo Barros, Stefan Wermter, Xun Liu, Haiyan Wu

Generally, the purpose of this paper is to review the current developments for computational pain recognition and artificial empathy implementation.

Towards Compact Single Image Super-Resolution via Contrastive Self-distillation

1 code implementation25 May 2021 Yanbo Wang, Shaohui Lin, Yanyun Qu, Haiyan Wu, Zhizhong Zhang, Yuan Xie, Angela Yao

Convolutional neural networks (CNNs) are highly successful for super-resolution (SR) but often require sophisticated architectures with heavy memory cost and computational overhead, significantly restricts their practical deployments on resource-limited devices.

Image Super-Resolution SSIM +1

Kuramoto model based analysis reveals oxytocin effects on brain network dynamics

no code implementations18 May 2021 Shuhan Zheng, Zhichao Liang, Youzhi Qu, Qingyuan Wu, Haiyan Wu, Quanying Liu

Here, we propose a physics-based framework of Kuramoto model to investigate oxytocin effects on the phase dynamic neural coupling in DMN and FPN.

Contrastive Learning for Compact Single Image Dehazing

2 code implementations CVPR 2021 Haiyan Wu, Yanyun Qu, Shaohui Lin, Jian Zhou, Ruizhi Qiao, Zhizhong Zhang, Yuan Xie, Lizhuang Ma

In this paper, we propose a novel contrastive regularization (CR) built upon contrastive learning to exploit both the information of hazy images and clear images as negative and positive samples, respectively.

Contrastive Learning Image Dehazing +1

Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review

no code implementations5 Feb 2021 Jie Yuan, Xuming Ran, Keyin Liu, Chen Yao, Yi Yao, Haiyan Wu, Quanying Liu

Machine learning is playing an increasingly important role in medical image analysis, spawning new advances in the clinical application of neuroimaging.

EEG Feature Engineering

Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning

no code implementations13 Jun 2019 Quanying Liu, Haiyan Wu, Anqi Liu

Our results demonstrate that IRL is an effective tool to model human decision-making behavior, as well as to help interpret the human psychological process in risk decision-making.

Decision Making

Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution

no code implementations15 Oct 2018 Di Fu, Pablo Barros, German I. Parisi, Haiyan Wu, Sven Magg, Xun Liu, Stefan Wermter

The efficient integration of multisensory observations is a key property of the brain that yields the robust interaction with the environment.

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