Faculty

Institution

Unit

Venue

Charles Boncelet

Professor

University of Delaware

Affiliations

College of Engineering

Department of Computer and Information Sciences

Department of Electrical and Computer Engineering

Charles Boncelet is currently serving as a College Of Engineering Professor at University of Delaware.

Honors

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Experiences

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Education

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Charles Boncelet

University of Delaware

Professor

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computer science machine learning computer vision electrical engineering image compression optical engineering signal processing digital image processing digital signal processing information security data compression computer security steganalysis statistics communication deep learning communication security multimedia security speech processing information forensics information technology acoustic signal processing filter design filtering technique lossy compression lossless compression edge detection data hiding information hiding block arithmetic coding scientific computing information fusion computational imaging image representation vlsi technology image communication digital watermarking transaction processing audio signal processing information theory digital images lossless image compression human-computer interaction machine vision machine learning research biomedical imaging discrete algorithms data security spread spectrum emotion recognition compressive sensing model compression medium access control adaptive control adaptive filter empirical algorithmics audio electroacoustics modal analysis color correction spatial filtering vlsi architecture cryptographic protection usable security multiresolution watermark image noise models wavelet transform rank-order-based filters lum filters order statistic filters gradient-based edge detection hybrid deep models group-level emotion recognition visual attentions bilevel images engagement prediction multi-rate attention image coding image forensics steganography

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Beyond the Bias Variance Trade-Off: A Mutual Information Trade-Off in Deep Learning. (2021)

Xinjie LanBin ZhuCharles BonceletKenneth Barner

deep learningmutual information trade-offfinancemachine learningbias variance trade-off

Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases. IEEE Workshop/Winter Conference on Applications of Computer Vision (2020)

Xin GuoLuisa F. PolaniaBin ZhuCharles BonceletKenneth E. Barner

image understandingdeep learningcomputer sciencepattern recognitioncommunicationgroup emotion recognitionmachine learningsocial cognitionevent recognitionmultiple cueshuman-computer interactioncomputer visionmachine visionmachine learning researchbehavioral sciences

Multi-Rate Attention Based GRU Model for Engagement Prediction. (2020)

Bin ZhuXinjie LanXin GuoKenneth E. BarnerCharles Boncelet

deep learningengagement predictionmachine learningnatural language processingcognitive sciencegru modelmulti-rate attentionbehavioral sciencesattention

Automatic Group Cohesiveness Detection With Multi-Modal Features. INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION (2019)

Bin ZhuXin GuoKenneth BarnerCharles Boncelet

computer sciencecommunicationmachine learningpsychologymodal analysiscomputer visionimage analysiscomputer-supported cooperative workmulti-modal features

Group-Level Emotion Recognition Using Hybrid Deep Models Based on Faces, Scenes, Skeletons and Visual Attentions. (2018)

Xin GuoBin ZhuLuisa F. PolaníaCharles BonceletKenneth E. Barner

deep learninghybrid deep modelsemotion recognitionmachine learningcomputer visionvisual attentionsgroup-level emotion recognitionbehavioral sciences

Ieee Transactions on Image Processing Publication Information. IEEE Transactions on Image Processing (2017)

Scott ActonA AchimDr PrendergastThomas SiegertBusiness AdministrationJulie CozinCorporate GovernanceDonna HouricanJamie MoeschEileen LachCherif AmiratKaren HawkinsCecelia JankowskiGeographic ActivitiesMichael ForsterFran ZappullaPeter TuohyJeffrey CichockiChristopher PerryMichelle Gillespie

image communicationtechnologydigital signal processingcomputer engineeringsignal processingdigital mediumsdigital imagingsignal processing societyphysiological factorsdigitizationelectronic imagingieee transactionsdigital audio

Detecting Clustering in Streams. (2012)

Michael PicollelliCharles BonceletLisa Marvel

streaming algorithmsmachine learningstream processingclusteringdata streamsdata sciencedata stream miningstreaming data

Detecting Clustering in Binary Sequences. (2011)

Michael PicollelliCharles BonceletLisa Marvel

bioinformaticsmachine learningclusteringdata sciencebinary sequences

Image Noise Models. Elsevier eBooks (2009)

Charles Boncelet

computer visionmachine learningcomputer scienceimage noise models

Fusing Rate-Specific Svm Classifiers for ±1 Embedding Steganalysis. (2008)

Lisa MarvelBrian HenzCharles Boncelet

steganalysiscomputer sciencemachine learningnatural language processingsupport vector machinesrate-specific svm classifiers

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Charles Boncelet

Professor

University of Delaware

Affiliations

College of Engineering

Department of Computer and Information Sciences

Department of Electrical and Computer Engineering

Charles Boncelet is currently serving as a College Of Engineering Professor at University of Delaware.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Charles Boncelet

University of Delaware

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Beyond the Bias Variance Trade-Off: A Mutual Information Trade-Off in Deep Learning. (2021)

Xinjie LanBin ZhuCharles BonceletKenneth Barner

deep learningmutual information trade-offfinancemachine learningbias variance trade-off

Xin GuoLuisa F. PolaniaBin ZhuCharles BonceletKenneth E. Barner

Multi-Rate Attention Based GRU Model for Engagement Prediction. (2020)

Bin ZhuXinjie LanXin GuoKenneth E. BarnerCharles Boncelet

deep learningengagement predictionmachine learningnatural language processingcognitive sciencegru modelmulti-rate attentionbehavioral sciencesattention

Automatic Group Cohesiveness Detection With Multi-Modal Features. INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION (2019)

Bin ZhuXin GuoKenneth BarnerCharles Boncelet

computer sciencecommunicationmachine learningpsychologymodal analysiscomputer visionimage analysiscomputer-supported cooperative workmulti-modal features

Group-Level Emotion Recognition Using Hybrid Deep Models Based on Faces, Scenes, Skeletons and Visual Attentions. (2018)

Xin GuoBin ZhuLuisa F. PolaníaCharles BonceletKenneth E. Barner

deep learninghybrid deep modelsemotion recognitionmachine learningcomputer visionvisual attentionsgroup-level emotion recognitionbehavioral sciences

Ieee Transactions on Image Processing Publication Information. IEEE Transactions on Image Processing (2017)

Detecting Clustering in Streams. (2012)

Michael PicollelliCharles BonceletLisa Marvel

streaming algorithmsmachine learningstream processingclusteringdata streamsdata sciencedata stream miningstreaming data

Detecting Clustering in Binary Sequences. (2011)

Michael PicollelliCharles BonceletLisa Marvel

bioinformaticsmachine learningclusteringdata sciencebinary sequences

Image Noise Models. Elsevier eBooks (2009)

Charles Boncelet

computer visionmachine learningcomputer scienceimage noise models

Fusing Rate-Specific Svm Classifiers for ±1 Embedding Steganalysis. (2008)

Lisa MarvelBrian HenzCharles Boncelet

steganalysiscomputer sciencemachine learningnatural language processingsupport vector machinesrate-specific svm classifiers

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7
10 / page

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information technology

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University of Nevada, Las Vegas

data security

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video coding format

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