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20152026
most citedZooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

20 citations · 53 across the 17 of their papers we have counts for

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16 papers · 1 filter

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2022★ 2 cited

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…

cs.CV2022★ 1 cited

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…