PairingNet: A Learning-based Pair-searching and -matching Network for Image Fragments

no code implementations • 14 Dec 2023 • Rixin Zhou, Ding Xia, Yi Zhang, Honglin Pang, Xi Yang, Chuntao Li

In this paper, we propose a learning-based image fragment pair-searching and -matching approach to solve the challenging restoration problem.

SpaceEditing: Integrating Human Knowledge into Deep Neural Networks via Interactive Latent Space Editing

no code implementations • 8 Dec 2022 • Jiafu Wei, Ding Xia, Haoran Xie, Chia-Ming Chang, Chuntao Li, Xi Yang

We propose an interactive editing method that allows humans to help deep neural networks (DNNs) learn a latent space more consistent with human knowledge, thereby improving classification accuracy on indistinguishable ambiguous data.

Dimensionality Reduction

A Two-step Surface-based 3D Deep Learning Pipeline for Segmentation of Intracranial Aneurysms

no code implementations • 29 Jun 2020 • Xi Yang, Ding Xia, Taichi Kin, Takeo Igarashi

In this study, we offer a two-step surface-based deep learning pipeline that achieves significantly higher performance.

Medical Diagnosis Segmentation

IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning

1 code implementation • CVPR 2020 • Xi Yang, Ding Xia, Taichi Kin, Takeo Igarashi

In this paper, instead of 2D medical images, we introduce an open-access 3D intracranial aneurysm dataset, IntrA, that makes the application of points-based and mesh-based classification and segmentation models available.

General Classification Segmentation +1