Chengcui Zhang
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View article: From Pixels to Motion: A Systematic Analysis of Translation-Based Video Synthesis Techniques
From Pixels to Motion: A Systematic Analysis of Translation-Based Video Synthesis Techniques Open
Translation-based Video Synthesis (TVS) has emerged as a transformative technology that enables sophisticated manipulation and generation of dynamic visual content. This comprehensive survey systematically examines the evolution of TVS met…
View article: Light Convolutional Neural Network to Detect Chronic Obstructive Pulmonary Disease (COPDxNet): A Multicenter Model Development and External Validation Study
Light Convolutional Neural Network to Detect Chronic Obstructive Pulmonary Disease (COPDxNet): A Multicenter Model Development and External Validation Study Open
Background Approximately 70% of adults with chronic obstructive pulmonary disease (COPD) remain undiagnosed. Opportunistic screening using chest computed tomography (CT) scans, commonly acquired in clinical practice, may be used to improve…
View article: RULE: Reinforcement UnLEarning Achieves Forget-Retain Pareto Optimality
RULE: Reinforcement UnLEarning Achieves Forget-Retain Pareto Optimality Open
The widespread deployment of Large Language Models (LLMs) trained on massive, uncurated corpora has raised growing concerns about the inclusion of sensitive, copyrighted, or illegal content. This has led to increasing interest in LLM unlea…
View article: MarkMatch: Same-Hand Stuffing Detection
MarkMatch: Same-Hand Stuffing Detection Open
We present MarkMatch, a retrieval system for detecting whether two paper ballot marks were filled by the same hand. Unlike the previous SOTA method BubbleSig, which used binary classification on isolated mark pairs, MarkMatch ranks stylist…
View article: Visual Prompt Learning of Foundation Models for Post-Disaster Damage Evaluation
Visual Prompt Learning of Foundation Models for Post-Disaster Damage Evaluation Open
In response to the urgent need for rapid and precise post-disaster damage evaluation, this study introduces the Visual Prompt Damage Evaluation (ViPDE) framework, a novel contrastive learning-based approach that leverages the embedded know…
View article: Mitigating Image Captioning Hallucinations in Vision-Language Models
Mitigating Image Captioning Hallucinations in Vision-Language Models Open
Hallucinations in vision-language models (VLMs) hinder reliability and real-world applicability, usually stemming from distribution shifts between pretraining data and test samples. Existing solutions, such as retraining or fine-tuning on …
View article: DTELS: Towards Dynamic Granularity of Timeline Summarization
DTELS: Towards Dynamic Granularity of Timeline Summarization Open
The rapid proliferation of online news has posed significant challenges in tracking the continuous development of news topics. Traditional timeline summarization constructs a chronological summary of the events but often lacks the flexibil…
View article: Translation-based Video-to-Video Synthesis
Translation-based Video-to-Video Synthesis Open
Translation-based Video Synthesis (TVS) has emerged as a vital research area in computer vision, aiming to facilitate the transformation of videos between distinct domains while preserving both temporal continuity and underlying content fe…
View article: Neonatal Pain Detection from Facial Expressions Using Deep Learning
Neonatal Pain Detection from Facial Expressions Using Deep Learning Open
Current clinical tools to assess neonatal pain, including various pain scales such as Neonatal Infant Pain Scale (NIPS) and Neonatal Pain, Agitation, and Sedation Scale (N-PASS), are overly reliant on nurses’ subjective observation and ana…
View article: Deep Multimodal Data Fusion
Deep Multimodal Data Fusion Open
Multimodal Artificial Intelligence (Multimodal AI), in general, involves various types of data (e.g., images, texts, or data collected from different sensors), feature engineering (e.g., extraction, combination/fusion), and decision-making…
View article: Deep Learning for HABs Prediction with Multimodal Fusion
Deep Learning for HABs Prediction with Multimodal Fusion Open
Harmful Algal Blooms (HABs) present significant environmental and public health threats. Recent machine learning-based HABs monitoring methods often rely solely on unimodal data, e.g., satellite imagery, overlooking crucial environmental f…
View article: BeyondPixels: A Comprehensive Review of the Evolution of Neural Radiance Fields
BeyondPixels: A Comprehensive Review of the Evolution of Neural Radiance Fields Open
Neural rendering combines ideas from classical computer graphics and machine learning to synthesize images from real-world observations. NeRF, short for Neural Radiance Fields, is a recent innovation that uses AI algorithms to create 3D ob…
View article: Radiomics for Improved Detection of Chronic Obstructive Pulmonary Disease in Low-Dose and Standard-Dose Chest CT Scans
Radiomics for Improved Detection of Chronic Obstructive Pulmonary Disease in Low-Dose and Standard-Dose Chest CT Scans Open
Background Approximately half of adults with chronic obstructive pulmonary disease (COPD) remain undiagnosed. Chest CT scans are frequently acquired in clinical practice and present an opportunity to detect COPD. Purpose To assess the perf…
View article: Frequency and Patterns of Brain Infarction in Patients With Embolic Stroke of Undetermined Source: NAVIGATE ESUS Trial
Frequency and Patterns of Brain Infarction in Patients With Embolic Stroke of Undetermined Source: NAVIGATE ESUS Trial Open
Background and Purpose: The spectrum of brain infarction in patients with embolic stroke of undetermined source (ESUS) has not been well characterized. Our objective was to define the frequency and pattern of brain infarcts detected by mag…
View article: Deep neural network analyses of spirometry for structural phenotyping of chronic obstructive pulmonary disease
Deep neural network analyses of spirometry for structural phenotyping of chronic obstructive pulmonary disease Open
BACKGROUNDCurrently recommended traditional spirometry outputs do not reflect the relative contributions of emphysema and airway disease to airflow obstruction. We hypothesized that machine-learning algorithms can be trained on spirometry …
View article: IRI 2019 Panel I
IRI 2019 Panel I Open
The goal for this panel is to propose a schema for the advancement of intelligent systems through the use of symbolic and/or neural AI and data science.Specifically, discussants will explore how conventional numerical analysis and other te…
View article: Pushing the Boundary of Multimedia Big Data: An Overview of IEEE MIPR
Pushing the Boundary of Multimedia Big Data: An Overview of IEEE MIPR Open
New forms of multimedia data (such as text, numbers, tags, networking, signals, geo-tagged information, graphs/relationships, three-dimensional/VR/AR and sensor data, etc.) have emerged in many applications in addition to traditional multi…
View article: A method for measuring human body composition using digital images
A method for measuring human body composition using digital images Open
Our photographic method produced valid estimates of BF in both children and adults. Further research is needed to create norms for subgroups by sex, race/ethnicity, and mobility status.
View article: Optimization of Setting Take-Profit Levels for Derivative Trading
Optimization of Setting Take-Profit Levels for Derivative Trading Open
This paper develops an optimal stopping rule by characterizing the take-profit level. The optimization problem is modeled by geometric Brownian motion with two switchable regimes and solved by stochastic calculation. A closed-form profitab…