205 citations · 572 across the 30 of their papers we have counts for
5 papers · 1 filter
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…
Text and Style Conditioned GAN for Generation of Offline Handwriting Lines
Brian Davis, Chris Tensmeyer, Brian Price +3
This paper presents a GAN for generating images of handwritten lines conditioned on arbitrary text and latent style vectors. Unlike prior work, which produce stroke points or singl…
Objectness-Aware Few-Shot Semantic Segmentation
Yinan Zhao, Brian Price, Scott Cohen +1
Few-shot semantic segmentation models aim to segment images after learning from only a few annotated examples. A key challenge for them is how to avoid overfitting because limited…
DeepStrip: High Resolution Boundary Refinement
Peng Zhou, Brian Price, Scott Cohen +2
In this paper, we target refining the boundaries in high resolution images given low resolution masks. For memory and computation efficiency, we propose to convert the regions of i…
Getting to 99% Accuracy in Interactive Segmentation
Marco Forte, Brian Price, Scott Cohen +2
Interactive object cutout tools are the cornerstone of the image editing workflow. Recent deep-learning based interactive segmentation algorithms have made significant progress in…