Search Results for author: Jia Wei

Found 17 papers, 9 papers with code

基于多源知识融合的领域情感词典表示学习研究(Domain Sentiment Lexicon Representation Learning Based on Multi-source Knowledge Fusion)

no code implementations CCL 2022 Ruihua Qi, Jia Wei, Zhen Shao, Xu Guo, Heng Chen

“本文旨在解决领域情感词典构建任务中标注数据资源相对匮乏以及情感语义表示不充分问题, 通过多源数据领域差异计算联合权重, 融合先验情感知识和Fasttext词向量表示学习, 将情感语义知识映射到新的词向量空间, 从无标注数据中自动构建适应大数据多领域和多语言环境的领域情感词典。在中英文多领域公开数据集上的对比实验表明, 与情感词典方法和预训练词向量方法相比, 本文提出的多源知识融合的领域情感词典表示学习方法在实验数据集上的分类正确率均有明显提升, 并在多种算法、多语言、多领域和多数据集上具有较好的鲁棒性。本文还通过消融实验验证了所提出模型的各个模块在提升情感分类效果中的作用。”

Representation Learning

Multi-Scale Diffusion: Enhancing Spatial Layout in High-Resolution Panoramic Image Generation

no code implementations24 Oct 2024 XiaoYu Zhang, Teng Zhou, Xinlong Zhang, Jia Wei, Yongchuan Tang

Diffusion models have recently gained recognition for generating diverse and high-quality content, especially in the domain of image synthesis.

Image Generation

SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration

1 code implementation3 Oct 2024 Jintao Zhang, Jia Wei, Haofeng Huang, Pengle Zhang, Jun Zhu, Jianfei Chen

Although quantization has proven to be an effective method for accelerating model inference, existing quantization methods primarily focus on optimizing the linear layer.

Image Generation Quantization +1

SAM-FNet: SAM-Guided Fusion Network for Laryngo-Pharyngeal Tumor Detection

1 code implementation10 Aug 2024 Jia Wei, Yun Li, Meiyu Qiu, Hongyu Chen, Xiaomao Fan, Wenbin Lei

However, they are still limited in their capabilities to accurately locate the lesion region and capture the discriminative feature information between the global and local branches.

Semantic Segmentation

Unsupervised Tumor-Aware Distillation for Multi-Modal Brain Image Translation

1 code implementation29 Mar 2024 Chuan Huang, Jia Wei, Rui Li

Existing methods suffer from the problem of brain tumor deformation during translation, as they fail to focus on the tumor areas when translating the whole images.

Translation

BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion

no code implementations23 Mar 2024 Jia Wei, Xingjun Zhang, Witold Pedrycz

The originality of BEND comes from the first use of a neural network diffusion model to efficiently build base classifiers for bagging.

Deep Learning Diversity +1

Learning Multi-Modal Brain Tumor Segmentation from Privileged Semi-Paired MRI Images with Curriculum Disentanglement Learning

no code implementations26 Aug 2022 Zecheng Liu, Jia Wei, Rui Li

Specifically, in the first step, we propose to conduct reconstruction and segmentation with augmented intra-modality style-consistent images.

Brain Tumor Segmentation Disentanglement +3

Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation

1 code implementation28 Apr 2022 Zekang Chen, Jia Wei, Rui Li

In this paper, we propose a novel translation-based unsupervised deformable image registration approach to convert the multi-modal registration problem to a mono-modal one.

Computed Tomography (CT) Image Registration +3

Slice Imputation: Intermediate Slice Interpolation for Anisotropic 3D Medical Image Segmentation

no code implementations21 Mar 2022 Zhaotao Wu, Jia Wei, Jiabing Wang, Rui Li

We introduce a novel frame-interpolation-based method for slice imputation to improve segmentation accuracy for anisotropic 3D medical images, in which the number of slices and their corresponding segmentation labels can be increased between two consecutive slices in anisotropic 3D medical volumes.

Image Segmentation Imputation +3

A Compact Neural Network-based Algorithm for Robust Image Watermarking

no code implementations27 Dec 2021 Hong-Bo Xu, Rong Wang, Jia Wei, Shao-Ping Lu

Digital image watermarking seeks to protect the digital media information from unauthorized access, where the message is embedded into the digital image and extracted from it, even some noises or distortions are applied under various data processing including lossy image compression and interactive content editing.

Decoder Image Compression

TarGAN: Target-Aware Generative Adversarial Networks for Multi-modality Medical Image Translation

1 code implementation19 May 2021 Junxiao Chen, Jia Wei, Rui Li

In this paper, we propose a novel target-aware generative adversarial network called TarGAN, which is a generic multi-modality medical image translation model capable of (1) learning multi-modality medical image translation without relying on paired data, (2) enhancing quality of target area generation with the help of target area labels.

Generative Adversarial Network Translation

Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge

no code implementations29 Dec 2020 Xiu-Shen Wei, Yu-Yan Xu, Yazhou Yao, Jia Wei, Si Xi, Wenyuan Xu, Weidong Zhang, Xiaoxin Lv, Dengpan Fu, Qing Li, Baoying Chen, Haojie Guo, Taolue Xue, Haipeng Jing, Zhiheng Wang, Tianming Zhang, Mingwen Zhang

WebFG 2020 is an international challenge hosted by Nanjing University of Science and Technology, University of Edinburgh, Nanjing University, The University of Adelaide, Waseda University, etc.

Inter-slice image augmentation based on frame interpolation for boosting medical image segmentation accuracy

no code implementations31 Jan 2020 Zhaotao Wu, Jia Wei, Wenguang Yuan, Jiabing Wang, Tolga Tasdizen

We introduce the idea of inter-slice image augmentation whereby the numbers of the medical images and the corresponding segmentation labels are increased between two consecutive images in order to boost medical image segmentation accuracy.

Image Augmentation Image Segmentation +3

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