20 citations · 53 across the 17 of their papers we have counts for
16 papers · 1 filter
Page Classification for Print Imaging Pipeline
Shaoyuan Xu, Cheng Lu, Mark Shaw +2
Digital copiers and printers are widely used nowadays. One of the most important things people care about is copying or printing quality. In order to improve it, we previously came…
Emotion Recognition Using Convolutional Neural Networks
Shaoyuan Xu, Yang Cheng, Qian Lin +1
Emotion has an important role in daily life, as it helps people better communicate with and understand each other more efficiently. Facial expressions can be classified into 7 cate…
Efficient Microscopic Image Instance Segmentation for Food Crystal Quality Control
Xiaoyu Ji, Jan P Allebach, Ali Shakouri +1
This paper is directed towards the food crystal quality control area for manufacturing, focusing on efficiently predicting food crystal counts and size distributions. Previously, m…
A Color Image Analysis Tool to Help Users Choose a Makeup Foundation Color
Yafei Mao, Christopher Merkle, Jan P. Allebach
This paper presents an approach to predict the color of skin-with-foundation based on a no makeup selfie image and a foundation shade image. Our approach first calibrates the image…
Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition
Gaurav Patel, Jan Allebach, Qiang Qiu
This paper looks at semi-supervised learning (SSL) for image-based text recognition. One of the most popular SSL approaches is pseudo-labeling (PL). PL approaches assign labels to…
Training a universal instance segmentation network for live cell images of various cell types and imaging modalities
Tianqi Guo, Yin Wang, Luis Solorio +1
We share our recent findings in an attempt to train a universal segmentation network for various cell types and imaging modalities. Our method was built on the generalized U-Net ar…