Faculty

Institution

Unit

Venue

Patrick J. Flynn

Professor of Computer Science & Engineering Fritz Duda Family Professor of Engineering

University of Notre Dame

Affiliations

College of Engineering

Computer Science and Engineering

Patrick J. Flynn is currently serving as a College Of Engineering Professor of Computer Science & Engineering Fritz Duda Family Professor of Engineering at University of Notre Dame.

Honors

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Experiences

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Education

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Patrick J. Flynn

University of Notre Dame

Professor of Computer Science & Engineering Fritz Duda Family Professor of Engineering

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computer vision computer science pattern recognition biometrics machine learning data science image analysis machine vision 3d computer vision face recognition deep learning 3d vision 3d object recognition iris biometrics object recognition technology machine intelligence iris recognition information security information technology optical engineering information forensics pattern analysis genetics computational imaging human identification identical twins matching technique image segmentation data security automatic identification 3d imaging pattern matching feature fusion computational intelligence scientific computing image representation information fusion multimodal interaction multimodal learning video understanding image classification face detection deception detection data fusion empirical evidence range data machine learning research multimedia computing multimedia information processing sport medicine biomedical imaging fractals computer forensics digital forensics forensic analysis 3d scanning video processing data-intensive computing image registration image similarity high-performance sport sport science sport participation facial expression finger surface biometric identifier speckle reduction low-resolution face images iris images image provenance analysis facial marks experimental evaluation biometric menagerie iris texture intelligent computing computer-aided design scientific visualization computer graphic technique pattern recognition application statistical pattern recognition geometric modeling

Notable Scholarly Works

Notable Federal Grants

Collaborators

Examining the Effects of Compression on Deep Learning Remote Photoplethysmography. Electronic Imaging (2024)

Benjamin SporrerNathan VanceJeremy SpethPatrick Flynn

deep learningtechnologymodel compressionelectronic imagingimage compressiondata compressionlossless compression

Measuring Domain Shifts Using Deep Learning Remote Photoplethysmography Model Similarity. arXiv (Cornell University) (2024)

Vance, NathanFlynn, Patrick

domain shiftscomputer sciencedeep learningdata scienceapplied mathematicsmachine learning

Refining Remote Photoplethysmography Architectures Using Cka and Empirical Methods. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2024)

Nathan VancePatrick Flynn

remote photoplethysmography architecturesempirical methodsremote sensingenvironmental science

Analyzing the Impact of Shape Context on the Face Recognition Performance of Deep Networks. (2023)

Sandipan BanerjeeWalter ScheirerKevin BowyerPatrick Flynn

computer scienceface recognition performancecomputer visiondeep learningbiometricsmachine visionshape modelingshape analysispattern recognitionmachine learning

EYEPRESERVE: Identity-Preserving Iris Synthesis. arXiv (Cornell University) (2023)

Khan, Siamul KarimTinsley, PatrickMitcheff, MahsaFlynn, PatrickBowyer, Kevin W.Czajka, Adam

computer sciencebiometricsmachine learningidentity-preserving iris synthesis

Full-Body Cardiovascular Sensing With Remote Photoplethysmography. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023)

Lu NiuJeremy SpethNathan VanceBen SporrerAdam CzajkaPatrick Flynn

biophysicshuman monitoringhealth monitoringmedical imagingfull-body cardiovascular sensingremote sensingremote photoplethysmography

Hallucinated Heartbeats: Anomaly-Aware Remote Pulse Estimation. Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (2023)

Jeremy SpethNathan VanceBenjamin SporrerLu NiuPatrick FlynnAdam Czajka

public healthcardiologyphysiologyelectrophysiologyanomaly detection

Iris Liveness Detection Competition (Livdet-Iris) – the 2023 Edition. (2023)

Patrick TinsleySandip PurnapatraMahsa MitcheffAidan BoydColton CrumKevin BowyerPatrick FlynnStephanie SchuckersAdam CzajkaMeiling FangNaser DamerXingyu LiuCaiyong WangXianyun SunZhaohua ChangXinyue LiGuangzhe ZhaoJuan TapiaChristoph BuschCarlos AravenaDaniel Schulz

public healthcomputer visiondeep learninginternet of thingsdeception detectioninformation securityophthalmologyecologymachine learning

Non-Contrastive Unsupervised Learning of Physiological Signals From Video. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)

Jeremy SpethNathan VancePatrick FlynnAdam Czajka

physiological signalsnon-contrastive unsupervised learningsignal processingphysiologymachine learning

On Low-Resolution Face Re-Identification With High-Resolution-Mapping. Lecture notes in computer science (2023)

Loreto PrietoSebastian PulgarPatrick FlynnDomingo Mery

informaticscomputer sciencecomputer visionmachine visionlow-resolution face re-identificationimage analysispattern recognitionmachine learning

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Patrick J. Flynn

Professor of Computer Science & Engineering Fritz Duda Family Professor of Engineering

University of Notre Dame

Affiliations

College of Engineering

Computer Science and Engineering

Patrick J. Flynn is currently serving as a College Of Engineering Professor of Computer Science & Engineering Fritz Duda Family Professor of Engineering at University of Notre Dame.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Patrick J. Flynn

University of Notre Dame

Professor of Computer Science & Engineering Fritz Duda Family Professor of Engineering

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Examining the Effects of Compression on Deep Learning Remote Photoplethysmography. Electronic Imaging (2024)

Benjamin SporrerNathan VanceJeremy SpethPatrick Flynn

deep learningtechnologymodel compressionelectronic imagingimage compressiondata compressionlossless compression

Measuring Domain Shifts Using Deep Learning Remote Photoplethysmography Model Similarity. arXiv (Cornell University) (2024)

Vance, NathanFlynn, Patrick

domain shiftscomputer sciencedeep learningdata scienceapplied mathematicsmachine learning

Refining Remote Photoplethysmography Architectures Using Cka and Empirical Methods. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2024)

Nathan VancePatrick Flynn

remote photoplethysmography architecturesempirical methodsremote sensingenvironmental science

Analyzing the Impact of Shape Context on the Face Recognition Performance of Deep Networks. (2023)

Sandipan BanerjeeWalter ScheirerKevin BowyerPatrick Flynn

computer scienceface recognition performancecomputer visiondeep learningbiometricsmachine visionshape modelingshape analysispattern recognitionmachine learning

EYEPRESERVE: Identity-Preserving Iris Synthesis. arXiv (Cornell University) (2023)

Khan, Siamul KarimTinsley, PatrickMitcheff, MahsaFlynn, PatrickBowyer, Kevin W.Czajka, Adam

computer sciencebiometricsmachine learningidentity-preserving iris synthesis

Full-Body Cardiovascular Sensing With Remote Photoplethysmography. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023)

Lu NiuJeremy SpethNathan VanceBen SporrerAdam CzajkaPatrick Flynn

biophysicshuman monitoringhealth monitoringmedical imagingfull-body cardiovascular sensingremote sensingremote photoplethysmography

Hallucinated Heartbeats: Anomaly-Aware Remote Pulse Estimation. Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (2023)

Jeremy SpethNathan VanceBenjamin SporrerLu NiuPatrick FlynnAdam Czajka

public healthcardiologyphysiologyelectrophysiologyanomaly detection

Iris Liveness Detection Competition (Livdet-Iris) – the 2023 Edition. (2023)

public healthcomputer visiondeep learninginternet of thingsdeception detectioninformation securityophthalmologyecologymachine learning

Non-Contrastive Unsupervised Learning of Physiological Signals From Video. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)

Jeremy SpethNathan VancePatrick FlynnAdam Czajka

physiological signalsnon-contrastive unsupervised learningsignal processingphysiologymachine learning

On Low-Resolution Face Re-Identification With High-Resolution-Mapping. Lecture notes in computer science (2023)

Loreto PrietoSebastian PulgarPatrick FlynnDomingo Mery

informaticscomputer sciencecomputer visionmachine visionlow-resolution face re-identificationimage analysispattern recognitionmachine learning

1
2
3
4
5
28
10 / page

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computer science

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pattern recognition

image forensics

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University at Buffalo

image forensics

information forensics

George Bebis

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Anand Rangarajan

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medical image computing

Haibin Ling

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computer integrated manufacturing

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predictive learning

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biometrics