Faculty

Institution

Unit

Venue

Venkat Devarajan

University of Texas at Arlington

Affiliations

College of Engineering

Electrical Engineering

NoneVenkat Devarajan is currently serving as a College Of Engineering faculty at University of Texas At Arlington.

Honors

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Experiences

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Education

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Venkat Devarajan

University of Texas at Arlington

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computer vision computer science surgery machine learning modeling and simulation engineering remote sensing laparoscopy design deep learning image segmentation laparoscopic videos artificial intelligence signal processing 3d computer vision 3d modeling haptic technologies model selection computer-aided design speech processing visual computing computer-aided engineering acoustic signal processing audio signal processing 3d imaging surgical tools contextual detector branch-and-bound model selection soft tissue deformation computational intelligence spoken language technology localization respiratory medicine biomedical imaging additive manufacturing information technology computational imaging hydroinformatics operational oceanography applied geography nonlinear analysis cybernetics numerical simulations scene modeling 3d vision aerial robotics design management interventional endoscopy automatic identification transaction processing feature extraction motion analysis computer-assisted surgery filter bank audio analysis speech technology convolutional neural networks object detection digital photogrammetry feature detection object recognition optical remote sensing collision detection graphical models medical image analysis real-world scenes aerial image segmentation design resource mass-spring models call packing multi stage switch computation complexity cal-sal walsh-hadamard transform wavelet filtering piece-wise linear mapping multibody structure-and-motion segmentation

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Contextual Detector of Surgical Tools in Laparoscopic Videos Using Deep Learning. Surgical Endoscopy (2021)

Babak NamaziGanesh SankaranarayananVenkat Devarajan

interventional endoscopylaparoscopic videosdeep learningsurgerysurgical toolscontextual detectoroncology

Generation and Analysis of Feature-Dependent Pseudo Noise for Training Deep Neural Networks. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2021)

Sree Ram KamabattulaKumudha MusiniBabak NamaziGanesh SankaranarayananVenkat Devarajan

computer sciencesystems engineeringcomputer visiondeep learningfeature-dependent pseudo noisecyberneticsmachine learning

Identifying the Training Stop Point With Noisy Labeled Data. 2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2020)

Sree Ram KamabattulaVenkat DevarajanBabak NamaziGanesh Sankaranarayanan

training stop pointcomputer visionsupervised learningdata sciencepattern recognitionmachine learning

Attention-Based Surgical Phase Boundaries Detection in Laparoscopic Videos. 2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2019)

Babak NamaziGanesh SankaranarayananVenkat Devarajan

laparoscopic videosattentioncomputer visionsurgerydeep learningmedical imaginglaparoscopy

Laptool-Net: A Contextual Detector of Surgical Tools in Laparoscopic Videos Based on Recurrent Convolutional Neural Networks. arXiv (Cornell University) (2019)

Babak NamaziGanesh SankaranarayananVenkat Devarajan

computer scienceconvolutional neural networkslaparoscopic videoscomputer visiondeep learningsurgerysurgical toolstechnologylaparoscopymachine intelligenceobject detectioncontextual detectormachine learning

Automatic Detection of Surgical Phases in Laparoscopic Videos. International Conference on Artificial Intelligence (2018)

Babak NamaziGanesh SankaranarayananVenkat Devarajan

artificial intelligencecomputer scienceintelligent systemslaparoscopic videoscomputer visionsurgerysurgical phaseslaparoscopymachine intelligenceautomatic detectioncomputational intelligencemotion analysismachine learning

Lung Nodule Detection and Segmentation Using a Patch-Based Multi-Atlas Method. 2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2016)

Mustafa AlamGanesh SankaranarayananVenkat Devarajan

neurologylung nodule detectionmedical imagingrespiratory medicinemedical image analysis3d imagingpatch-based multi-atlas methodbiomedical imaging

A Novel Angular Filter Based Lidar Point Cloud Classification. (2015)

Partha P. AcharjeeGeorge J. ToscanoVenkat Devarajan

computer scienceunmanned aerial vehiclescomputer visionpoint cloudspoint cloud processingclassification methodremote sensing

Fast Algorithms for Low-Delay Tdac Filterbanks in Mpeg-4 Aac-Eld. IEEE/ACM Transactions on Audio Speech and Language Processing (2014)

Ravi K. ChivukulaYuriy A. ReznikNone Yanyan HuVenkat DevarajanMythreya Jayendra-Lakshman

spoken language technologyfilter banksignal processingacoustic signal processingaudio analysisspeech processingaudio signal processinglow-delay tdac filterbankselectrical engineeringcomputer engineeringdigital signal processingspeech technology

A New Feature Descriptor for Lidar Image Matching. ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (2013)

M. Jayendra-LakshmanV. Devarajan

unmanned aerial vehiclesearth sciencecomputer visiondigital photogrammetryfeature detection3d computer visionlocalizationobject recognitionremote sensingoptical remote sensingpattern recognitionmachine learninglidar image matching

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Venkat Devarajan

University of Texas at Arlington

Affiliations

College of Engineering

Electrical Engineering

NoneVenkat Devarajan is currently serving as a College Of Engineering faculty at University of Texas At Arlington.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Venkat Devarajan

University of Texas at Arlington

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Contextual Detector of Surgical Tools in Laparoscopic Videos Using Deep Learning. Surgical Endoscopy (2021)

Babak NamaziGanesh SankaranarayananVenkat Devarajan

interventional endoscopylaparoscopic videosdeep learningsurgerysurgical toolscontextual detectoroncology

Generation and Analysis of Feature-Dependent Pseudo Noise for Training Deep Neural Networks. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2021)

Sree Ram KamabattulaKumudha MusiniBabak NamaziGanesh SankaranarayananVenkat Devarajan

computer sciencesystems engineeringcomputer visiondeep learningfeature-dependent pseudo noisecyberneticsmachine learning

Identifying the Training Stop Point With Noisy Labeled Data. 2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2020)

Sree Ram KamabattulaVenkat DevarajanBabak NamaziGanesh Sankaranarayanan

training stop pointcomputer visionsupervised learningdata sciencepattern recognitionmachine learning

Attention-Based Surgical Phase Boundaries Detection in Laparoscopic Videos. 2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2019)

Babak NamaziGanesh SankaranarayananVenkat Devarajan

laparoscopic videosattentioncomputer visionsurgerydeep learningmedical imaginglaparoscopy

Laptool-Net: A Contextual Detector of Surgical Tools in Laparoscopic Videos Based on Recurrent Convolutional Neural Networks. arXiv (Cornell University) (2019)

Babak NamaziGanesh SankaranarayananVenkat Devarajan

Automatic Detection of Surgical Phases in Laparoscopic Videos. International Conference on Artificial Intelligence (2018)

Babak NamaziGanesh SankaranarayananVenkat Devarajan

Lung Nodule Detection and Segmentation Using a Patch-Based Multi-Atlas Method. 2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2016)

Mustafa AlamGanesh SankaranarayananVenkat Devarajan

neurologylung nodule detectionmedical imagingrespiratory medicinemedical image analysis3d imagingpatch-based multi-atlas methodbiomedical imaging

A Novel Angular Filter Based Lidar Point Cloud Classification. (2015)

Partha P. AcharjeeGeorge J. ToscanoVenkat Devarajan

computer scienceunmanned aerial vehiclescomputer visionpoint cloudspoint cloud processingclassification methodremote sensing

Fast Algorithms for Low-Delay Tdac Filterbanks in Mpeg-4 Aac-Eld. IEEE/ACM Transactions on Audio Speech and Language Processing (2014)

Ravi K. ChivukulaYuriy A. ReznikNone Yanyan HuVenkat DevarajanMythreya Jayendra-Lakshman

A New Feature Descriptor for Lidar Image Matching. ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (2013)

M. Jayendra-LakshmanV. Devarajan

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Similar Faculty Members

Kenneth Barner

Institution

University of Delaware

signal sampling

rehabilitation

Avideh Zakhor

Institution

University of California, Berkeley

computer science

geometric modeling

Dan Schonfeld

Institution

University of Illinois Chicago

pattern recognition

video content analysis

Li Bai

Institution

Temple University

unmanned aircraft system

distributed software computing

Dana Brooks

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Northeastern University

medical imaging

neuroscience

Chandra Kambhamettu

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University of Delaware

remote sensing

computational imaging

Khan Iftekharuddin

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digital image processing

image processor

Jovan Brankov

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Illinois Institute of Technology

pattern recognition

medical imaging

Lucio Soibelman

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information technology

infrastructure engineering

Ioannis Kakadiaris

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ai healthcare

biometrics