Search Results for author: Haochuan Jiang

Found 9 papers, 3 papers with code

Generalized W-Net: Arbitrary-style Chinese Character Synthesization

no code implementations10 Jun 2024 Haochuan Jiang, Guanyu Yang, Fei Cheng, Kaizhu Huang

Synthesizing Chinese characters with consistent style using few stylized examples is challenging.

W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks

no code implementations10 Jun 2024 Haochuan Jiang, Guanyu Yang, Kaizhu Huang, Rui Zhang

Due to the huge category number, the sophisticated combinations of various strokes and radicals, and the free writing or printing styles, generating Chinese characters with diverse styles is always considered as a difficult task.

Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets

no code implementations28 Mar 2024 Tianyi Liu, Zhaorui Tan, Kaizhu Huang, Haochuan Jiang

Medical image segmentation presents the challenge of segmenting various-size targets, demanding the model to effectively capture both local and global information.

Image Segmentation Medical Image Segmentation +1

UGformer for Robust Left Atrium and Scar Segmentation Across Scanners

no code implementations11 Oct 2022 Tianyi Liu, Size Hou, Jiayuan Zhu, Zilong Zhao, Haochuan Jiang

an enhanced transformer module with deformable convolutions to improve the blending of the transformer information with convolutional information and help predict irregular LAs and scar shapes.

Domain Generalization Image Segmentation +2

Semi-supervised Pathology Segmentation with Disentangled Representations

1 code implementation5 Sep 2020 Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris

The model is trained in a semi-supervised fashion with new reconstruction losses directly aiming to improve pathology segmentation with limited annotations.

Anatomy Disentanglement +1

Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling

1 code implementation5 Sep 2020 Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris

Together with the corresponding encoding features, these representations are propagated to decoding layers with U-Net skip-connections.

Management Segmentation

Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation

no code implementations11 Jun 2019 Fajie Yuan, Xiangnan He, Haochuan Jiang, Guibing Guo, Jian Xiong, Zhezhao Xu, Yilin Xiong

To capture the sequential dependencies, existing methods resort either to data augmentation techniques or left-to-right style autoregressive training. Since these methods are aimed to model the sequential nature of user behaviors, they ignore the future data of a target interaction when constructing the prediction model for it.

Data Augmentation Decoder +2

W-Net : One-Shot Arbitrary-StyleChinese Character Generationwith Deep Neural Networks

1 code implementation13 Dec 2018 Haochuan Jiang, Guanyu Yang, Kaizhu Huang, and Rui ZHANG

Due to the huge category number, the sophisticated com-binations of various strokes and radicals, and the free writing or print-ing styles, generating Chinese characters with diverse styles is alwaysconsidered as a difficult task.

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