6 citations · 10 across the 4 of their papers we have counts for
5 papers
Image Completion with Heterogeneously Filtered Spectral Hints
Xingqian Xu, Shant Navasardyan, Vahram Tadevosyan +3
Image completion with large-scale free-form missing regions is one of the most challenging tasks for the computer vision community. While researchers pursue better solutions, drawb…
Rethinking Text Segmentation: A Novel Dataset and A Text-Specific Refinement Approach
Xingqian Xu, Zhifei Zhang, Zhaowen Wang +3
Text segmentation is a prerequisite in many real-world text-related tasks, e.g., text style transfer, and scene text removal. However, facing the lack of high-quality datasets and…
The 1st Agriculture-Vision Challenge: Methods and Results
Mang Tik Chiu, Xingqian Xu, Kai Wang +39
The first Agriculture-Vision Challenge aims to encourage research in developing novel and effective algorithms for agricultural pattern recognition from aerial images, especially f…
Deep Affinity Net: Instance Segmentation via Affinity
Xingqian Xu, Mang Tik Chiu, Thomas S. Huang +1
Most of the modern instance segmentation approaches fall into two categories: region-based approaches in which object bounding boxes are detected first and later used in cropping a…
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis
Mang Tik Chiu, Xingqian Xu, Yunchao Wei +12
The success of deep learning in visual recognition tasks has driven advancements in multiple fields of research. Particularly, increasing attention has been drawn towards its appli…