20 citations · 69 across the 22 of their papers we have counts for
22 papers
B2B Customer Conversion Prediction: A Document Representation, Graph Theory, and CatBoost Driven Methodology
Tianqi Wang, Sheikh Shams Azam, Wan Eih Huang +3
In the one-time selling B2B context, the buying cycle may last months or even years. During the long process, targeting customers that have a high potential to make purchases and r…
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…
A Visual Quality Assessment Method for Raster Images in Scanned Document
Justin Yang, Peter Bauer, Todd Harris +4
Image quality assessment (IQA) is an active research area in the field of image processing. Most prior works focus on visual quality of natural images captured by cameras. In this…
Joint Multi-Scale Tone Mapping and Denoising for HDR Image Enhancement
Litao Hu, Huaijin Chen, Jan P. Allebach
An image processing unit (IPU), or image signal processor (ISP) for high dynamic range (HDR) imaging usually consists of demosaicing, white balancing, lens shading correction, colo…
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…
Face Image Lighting Enhancement Using a 3D Model
Qiulin Chen, Jan P. Allebach
Image enhancement helps to generate balanced lighting distributions over faces. Our goal is to get an illuminance-balanced enhanced face image from a single view. Traditionally, im…
HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars
Xiaoyu Xiang, Jon Morton, Fitsum A Reda +6
A promising direction for recovering the lost information in low-resolution headshot images is utilizing a set of high-resolution exemplars from the same identity. Complementary im…
Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution
Xiaoyu Xiang, Yapeng Tian, Yulun Zhang +3
In this paper, we address the space-time video super-resolution, which aims at generating a high-resolution (HR) slow-motion video from a low-resolution (LR) and low frame rate (LF…
Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis
Xiaoyu Xiang, Ding Liu, Xiao Yang +3
In this paper, we explore open-domain sketch-to-photo translation, which aims to synthesize a realistic photo from a freehand sketch with its class label, even if the sketches of t…
Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution
Xiaoyu Xiang, Qian Lin, Jan P. Allebach
Due to the limits of bandwidth and storage space, digital images are usually down-scaled and compressed when transmitted over networks, resulting in loss of details and jarring art…
The Blessing and the Curse of the Noise behind Facial Landmark Annotations
Xiaoyu Xiang, Yang Cheng, Shaoyuan Xu +2
The evolving algorithms for 2D facial landmark detection empower people to recognize faces, analyze facial expressions, etc. However, existing methods still encounter problems of u…
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
Xiaoyu Xiang, Yapeng Tian, Yulun Zhang +3
In this paper, we explore the space-time video super-resolution task, which aims to generate a high-resolution (HR) slow-motion video from a low frame rate (LFR), low-resolution (L…
Ink Flow Patterns In Multi Color Inkjet Images And Their Impact On Graininess Noise
Qiulin Chen, Palghat Ramesh, Chu-heng Liu +1
Graininess noise is a common artifact in inkjet printing. While current inkjet printing technologies attempt to control graininess in single color images, the results are often les…
Multi-View Matching Network for 6D Pose Estimation
Daniel Mas Montserrat, Jianhang Chen, Qian Lin +2
Applications that interact with the real world such as augmented reality or robot manipulation require a good understanding of the location and pose of the surrounding objects. In…
Blockwise Based Detection of Local Defects
Xiaoyu Xiang, Renee Jessome, Eric Maggard +3
Print quality is an important criterion for a printer's performance. The detection, classification, and assessment of printing defects can reflect the printer's working status and…
Three Efficient, Low-Complexity Algorithms for Automatic Color Trapping
Haiyin Wang, Mireille Boutin, Jeffrey Trask +1
Color separations (most often cyan, magenta, yellow, and black) are commonly used in printing to reproduce multi-color images. For mechanical reasons, these color separations are g…
Model-based Iterative Restoration for Binary Document Image Compression with Dictionary Learning
Yandong Guo, Cheng Lu, Jan P. Allebach +1
The inherent noise in the observed (e.g., scanned) binary document image degrades the image quality and harms the compression ratio through breaking the pattern repentance and addi…
Colors Messengers of Concepts: Visual Design Mining for Learning Color Semantics
Ali Jahanian, S. V. N. Vishwanathan, Jan P. Allebach
This paper studies the concept of color semantics by modeling a dataset of magazine cover designs, evaluating the model via crowdsourcing, and demonstrating several prototypes that…