Search Results for author: Xiumei Wang

Found 13 papers, 5 papers with code

Deep learning for the design of non-Hermitian topolectrical circuits

no code implementations15 Feb 2024 Xi Chen, Jinyang Sun, Xiumei Wang, Hengxuan Jiang, Dandan Zhu, Xingping Zhou

Non-Hermitian topological phases can produce some remarkable properties, compared with their Hermitian counterpart, such as the breakdown of conventional bulk-boundary correspondence and the non-Hermitian topological edge mode.

Seeking Subjectivity in Visual Emotion Distribution Learning

no code implementations25 Jul 2022 Jingyuan Yang, Jie Li, Leida Li, Xiumei Wang, Yuxuan Ding, Xinbo Gao

In psychology, the \textit{Object-Appraisal-Emotion} model has demonstrated that each individual's emotion is affected by his/her subjective appraisal, which is further formed by the affective memory.

Emotion Recognition

SOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network

no code implementations24 Oct 2021 Jingyuan Yang, Xinbo Gao, Leida Li, Xiumei Wang, Jinshan Ding

Inspired by this, we propose a novel Scene-Object interreLated Visual Emotion Reasoning network (SOLVER) to predict emotions from images.

Emotion Recognition Object

Stimuli-Aware Visual Emotion Analysis

no code implementations4 Sep 2021 Jingyuan Yang, Jie Li, Xiumei Wang, Yuxuan Ding, Xinbo Gao

Then, we design three specific networks, i. e., Global-Net, Semantic-Net and Expression-Net, to extract distinct emotional features from different stimuli simultaneously.

Emotion Recognition

A Circular-Structured Representation for Visual Emotion Distribution Learning

no code implementations CVPR 2021 Jingyuan Yang, Jie Li, Leida Li, Xiumei Wang, Xinbo Gao

Visual Emotion Analysis (VEA) has attracted increasing attention recently with the prevalence of sharing images on social networks.

Emotion Recognition

Learning the Non-Differentiable Optimization for Blind Super-Resolution

no code implementations CVPR 2021 Zheng Hui, Jie Li, Xiumei Wang, Xinbo Gao

Instead of considering iterative strategy, we make the blur kernel predictor trainable in the whole blind SR model, in which AMNet is well-trained.

Blind Super-Resolution Super-Resolution

Image Fine-grained Inpainting

3 code implementations7 Feb 2020 Zheng Hui, Jie Li, Xiumei Wang, Xinbo Gao

Besides, we devise a geometrical alignment constraint item to compensate for the pixel-based distance between prediction features and ground-truth ones.

Facial Inpainting Fine-Grained Image Inpainting

Lightweight Image Super-Resolution with Information Multi-distillation Network

4 code implementations26 Sep 2019 Zheng Hui, Xinbo Gao, Yunchu Yang, Xiumei Wang

In recent years, single image super-resolution (SISR) methods using deep convolution neural network (CNN) have achieved impressive results.

Image Super-Resolution

Progressive Perception-Oriented Network for Single Image Super-Resolution

1 code implementation24 Jul 2019 Zheng Hui, Jie Li, Xinbo Gao, Xiumei Wang

In this paper, we propose a novel perceptual image super-resolution method that progressively generates visually high-quality results by constructing a stage-wise network.

Image Super-Resolution

Fast and Accurate Single Image Super-Resolution via Information Distillation Network

2 code implementations CVPR 2018 Zheng Hui, Xiumei Wang, Xinbo Gao

Recently, deep convolutional neural networks (CNNs) have been demonstrated remarkable progress on single image super-resolution.

Image Super-Resolution

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