activity
20192024
most citedDONet: Dual Objective Networks for Skin Lesion Segmentation

18 citations · 35 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2024

Knowledge Adaptation Network for Few-Shot Class-Incremental Learning

Ye Wang, Yaxiong Wang, Guoshuai Zhao +1

Few-shot class-incremental learning (FSCIL) aims to incrementally recognize new classes using a few samples while maintaining the performance on previously learned classes. One of…

cs.CV2022

Multimodal Learning for Non-small Cell Lung Cancer Prognosis

Yujiao Wu, Yaxiong Wang, Xiaoshui Huang +3

This paper focuses on the task of survival time analysis for lung cancer. Although much progress has been made in this problem in recent years, the performance of existing methods…

cs.CV2021

Generating Superpixels for High-resolution Images with Decoupled Patch Calibration

Yaxiong Wang, Yunchao Wei, Xueming Qian +2

Superpixel segmentation has recently seen important progress benefiting from the advances in differentiable deep learning. However, the very high-resolution superpixel segmentation…

eess.IV202018 cited

DONet: Dual Objective Networks for Skin Lesion Segmentation

Yaxiong Wang, Yunchao Wei, Xueming Qian +2

Skin lesion segmentation is a crucial step in the computer-aided diagnosis of dermoscopic images. In the last few years, deep learning based semantic segmentation methods have sign…

cs.CV2020

Sketch-Guided Scenery Image Outpainting

Yaxiong Wang, Yunchao Wei, Xueming Qian +2

The outpainting results produced by existing approaches are often too random to meet users' requirement. In this work, we take the image outpainting one step forward by allowing us…

cs.CL201917 cited

Position Focused Attention Network for Image-Text Matching

Yaxiong Wang, Hao Yang, Xueming Qian +4

Image-text matching tasks have recently attracted a lot of attention in the computer vision field. The key point of this cross-domain problem is how to accurately measure the simil…