Pavan K. Turaga

Orcid: 0000-0002-5263-5943

Affiliations:
  • Arizona State University, Tempe, AZ, USA


According to our database1, Pavan K. Turaga authored at least 150 papers between 2007 and 2024.

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Bibliography

2024
Uncertainty-Aware Topological Persistence Guided Knowledge Distillation on Wearable Sensor Data.
IEEE Internet Things J., September, 2024

Orthogonality and graph divergence losses promote disentanglement in generative models.
Frontiers Comput. Sci., 2024

Topological persistence guided knowledge distillation for wearable sensor data.
Eng. Appl. Artif. Intell., 2024

Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation.
CoRR, 2024

Leveraging Topological Guidance for Improved Knowledge Distillation.
CoRR, 2024

Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks.
CoRR, 2024

On the impact of pre-training datasets for matching dendritic identifiers using residual nets.
Proceedings of the International Workshop on Artificial Intelligence for Signal, 2024

2023
Best Paper Section IEEE International Conference on Automatic Face and Gesture Recognition 2021.
IEEE Trans. Biom. Behav. Identity Sci., July, 2023

Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data.
IEEE Trans. Instrum. Meas., 2023

Leveraging angular distributions for improved knowledge distillation.
Neurocomputing, 2023

Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae.
CoRR, 2023

The Surprising Effectiveness of Deep Orthogonal Procrustes Alignment in Unsupervised Domain Adaptation.
IEEE Access, 2023

Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Target-Aware Generative Augmentations for Single-Shot Adaptation.
Proceedings of the International Conference on Machine Learning, 2023

Single-Shot Domain Adaptation via Target-Aware Generative Augmentations.
Proceedings of the IEEE International Conference on Acoustics, 2023

Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

Polynomial Implicit Neural Representations For Large Diverse Datasets.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Scene Graph Driven Text-Prompt Generation for Image Inpainting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data.
IEEE Internet Things J., 2022

Single-Shot Domain Adaptation via Target-Aware Generative Augmentation.
CoRR, 2022

Deep Geometric Moment.
CoRR, 2022

Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation.
CoRR, 2022

Topological Knowledge Distillation for Wearable Sensor Data.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

Domain Alignment Meets Fully Test-Time Adaptation.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
Digital medicine and the curse of dimensionality.
npj Digit. Medicine, 2021

Improving Multi-Domain Generalization through Domain Re-labeling.
CoRR, 2021

Towards Conditional Generation of Minimal Action Potential Pathways for Molecular Dynamics.
CoRR, 2021

Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion.
CoRR, 2021

Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint.
CoRR, 2021

Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Generative Patch Priors for Practical Compressive Image Recovery.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020
Machine Learning for Solar Array Monitoring, Optimization, and Control
Synthesis Lectures on Power Electronics, Morgan & Claypool Publishers, ISBN: 978-3-031-02505-1, 2020

A Framework for Interpretable Full-Body Kinematic Description Using Geometric and Functional Analysis.
IEEE Trans. Biomed. Eng., 2020

Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification.
CoRR, 2020

GraCIAS: Grassmannian of Corrupted Images for Adversarial Security.
CoRR, 2020

Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships.
CoRR, 2020

New Investment of Innovative Design of the Future Workstation: Advancing Sedentary Work Behavior.
Proceedings of the Human Interaction, Emerging Technologies and Future Applications III, 2020

Rate-Invariant Autoencoding of Time-Series.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Topological Descriptors for Parkinson's Disease Classification and Regression Analysis.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

PI-Net: A Deep Learning Approach to Extract Topological Persistence Images.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Design of the Future Workstation: Enhancing Health and Wellbeing on the Job.
Proceedings of the Advances in Artificial Intelligence, Software and Systems Engineering, 2020

2019
Reconstruction-Free Compressive Vision for Surveillance Applications
Synthesis Lectures on Signal Processing, Morgan & Claypool Publishers, ISBN: 978-3-031-02541-9, 2019

An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation.
Int. J. Biomed. Imaging, 2019

Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning.
CoRR, 2019

Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning.
CoRR, 2019

SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation.
CoRR, 2019

Formation-aware Cloud Segmentation of Ground-based Images with Applications to PV Systems.
Proceedings of the 10th International Conference on Information, 2019

Non-Parametric Priors For Generative Adversarial Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

Spatially-Varying Sharpness Map Estimation Based on the Quotient of Spectral Bands.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Multiple Subspace Alignment Improves Domain Adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2019

An REU Experience in Machine Learning and Computational Cameras.
Proceedings of the IEEE Frontiers in Education Conference, 2019

Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

Adaptive Video Subsampling For Energy-Efficient Object Detection.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Rank-Regularized Measurement Operators for Compressive Imaging.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Representation, Analysis, and Recognition of 3D Humans: A Survey.
ACM Trans. Multim. Comput. Commun. Appl., 2018

Introduction to the Special Issue on Representation, Analysis, and Recognition of 3D Humans.
ACM Trans. Multim. Comput. Commun. Appl., 2018

Convolutional Neural Networks for Noniterative Reconstruction of Compressively Sensed Images.
IEEE Trans. Computational Imaging, 2018

Rate-Adaptive Neural Networks for Spatial Multiplexers.
CoRR, 2018

Tracking, Animating, and 3D Printing Elements of the Fine Arts Freehand Drawing Process.
Proceedings of the Twelfth International Conference on Tangible, 2018

Geometry of Deep Generative Models for Disentangled Representations.
Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018

Shading prediction, fault detection, and consensus estimation for solar array control.
Proceedings of the IEEE Industrial Cyber-Physical Systems, 2018

Fast Non-Linear Methods for Dynamic Texture Prediction.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

CS-VQA: Visual Question Answering with Compressively Sensed Images.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Perturbation Robust Representations of Topological Persistence Diagrams.
Proceedings of the Computer Vision - ECCV 2018, 2018

Predicting Dynamical Evolution of Human Activities From a Single Image.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition With Accelerometer Data.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Elastic Functional Coding of Riemannian Trajectories.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

A Cyber-Physical Photovoltaic Array Monitoring and Control System.
Int. J. Monit. Surveillance Technol. Res., 2017

Convolutional Neural Networks for Non-iterative Reconstruction of Compressively Sensed Images.
CoRR, 2017

A cyber-physical system approach for photovoltaic array monitoring and control.
Proceedings of the 8th International Conference on Information, 2017

Learning Invariant Riemannian Geometric Representations Using Deep Nets.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Multiscale evolution of attractor-shape descriptors for assessing Parkinson's disease severity.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Measuring Glide-Reflection Symmetry in Human Movements Using Elastic Shape Analysis.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Compressive Light Field Reconstructions Using Deep Learning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Optimization Problems Associated with Manifold-Valued Curves with Applications in Computer Vision.
Proceedings of the Handbook of Convex Optimization Methods in Imaging Science., 2017

2016
Component-Level Tuning of Kinematic Features From Composite Therapist Impressions of Movement Quality.
IEEE J. Biomed. Health Informatics, 2016

Enhanced Compressive Imaging Using Model-Based Acquisition: Smarter sampling by incorporating domain knowledge.
IEEE Signal Process. Mag., 2016

Shape Distributions of Nonlinear Dynamical Systems for Video-Based Inference.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Reconstruction-Free Action Inference from Compressive Imagers.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Geometry-Based Symbolic Approximation for Fast Sequence Matching on Manifolds.
Int. J. Comput. Vis., 2016

Fast Integral Image Estimation at 1% measurement rate.
CoRR, 2016

ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements.
CoRR, 2016

Motion, Captured: an Open Repository for Comparative Movement Studies.
Proceedings of the 3rd International Symposium on Movement and Computing, 2016

Persistent homology of attractors for action recognition.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Direct inference on compressive measurements using convolutional neural networks.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Diversity promoting online sampling for streaming video summarization.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Consensus inference on mobile phone sensors for activity recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A statistical estimation framework for energy expenditure of physical activities from a wrist-worn accelerometer.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Attractor-shape descriptors for balance impairment assessment in Parkinson's disease.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Riemannian Geometric Approaches for Measuring Movement Quality.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Direct classification from compressively sensed images via deep Boltzmann machine.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Ceding Control: Empowering Remote Participants in Meetings involving Smart Conference Rooms.
Proceedings of the Symbiotic Cognitive Systems, 2016

2015
Discriminative feature learning from big data for visual recognition.
Pattern Recognit., 2015

Towards realtime measurement of connectedness in human movement.
Proceedings of the 2nd International Workshop on Movement and Computing, 2015

Geometric Compression of Orientation Signals for Fast Gesture Analysis.
Proceedings of the 2015 Data Compression Conference, 2015

Reconstruction-free inference on compressive measurements.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Elastic functional coding of human actions: From vector-fields to latent variables.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Dynamical Regularity for Action Analysis.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Image Understanding Using Sparse Representations
Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers, ISBN: 978-3-031-02250-0, 2014

Feature Selection.
Computer Vision, A Reference Guide, 2014

Differential geometric representations and algorithms for some pattern recognition and computer vision problems.
Pattern Recognit. Lett., 2014

Geometry-based Adaptive Symbolic Approximation for Fast Sequence Matching on Manifolds: Applications to Activity Analysis.
CoRR, 2014

Interactively test driving an object detector: Estimating performance on unlabeled data.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Direct tracking from compressive imagers: A proof of concept.
Proceedings of the IEEE International Conference on Acoustics, 2014

Decision support for stroke rehabilitation therapy via describable attribute-based decision trees.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

SomaTech: an exploratory interface for altering movement habits.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

2013
Compressive Acquisition of Linear Dynamical Systems.
SIAM J. Imaging Sci., 2013

Optical flow for compressive sensing video reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2013

A heterogeneous dictionary model for representation and recognition of human actions.
Proceedings of the IEEE International Conference on Acoustics, 2013

Attractor-Shape for Dynamical Analysis of Human Movement: Applications in Stroke Rehabilitation and Action Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Age Estimation and Face Verification Across Aging Using Landmarks.
IEEE Trans. Inf. Forensics Secur., 2012

A Blur-Robust Descriptor with Applications to Face Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

On advances in differential-geometric approaches for 2D and 3D shape analyses and activity recognition.
Image Vis. Comput., 2012

Recurrence textures for human activity recognition from compressive cameras.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Domain Adaptive Dictionary Learning.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Example-Driven Manifold Priors for Image Deconvolution.
IEEE Trans. Image Process., 2011

Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Advances in Video-Based Biometrics.
Adv. Comput., 2011

Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Blurring-invariant Riemannian metrics for comparing signals and images.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Towards view-invariant expression analysis using analytic shape manifolds.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

Recent advances in age and height estimation from still images and video.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

Face Tracking and Recognition in Video.
Proceedings of the Handbook of Face Recognition, 2nd Edition., 2011

2010
Statistical Analysis on Manifolds and Its Applications to Video Analysis.
Proceedings of the Video Search and Mining, 2010

Semantic Video Content Analysis.
Proceedings of the Video Search and Mining, 2010

Video Précis: Highlighting Diverse Aspects of Videos.
IEEE Trans. Multim., 2010

Advances in Video-Based Human Activity Analysis: Challenges and Approaches.
Adv. Comput., 2010

Nearest-neighbor search algorithms on non-Euclidean manifolds for computer vision applications.
Proceedings of the Seventh Indian Conference on Computer Vision, 2010

The role of geometry in age estimation.
Proceedings of the IEEE International Conference on Acoustics, 2010

Compressive Acquisition of Dynamic Scenes.
Proceedings of the Computer Vision, 2010

Articulation-Invariant Representation of Non-planar Shapes.
Proceedings of the Computer Vision, 2010

Shape-based similarity retrieval of Doppler images for clinical decision support.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Moving vistas: Exploiting motion for describing scenes.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Statistical and Geometric Modeling of Spatio-Temporal Patterns for Video Understanding.
PhD thesis, 2009

Statistical Methods and Models for Video-Based Tracking, Modeling, and Recognition.
Found. Trends Signal Process., 2009

Modeling and Visualization of Human Activities for Multicamera Networks.
EURASIP J. Image Video Process., 2009

Unsupervised view and rate invariant clustering of video sequences.
Comput. Vis. Image Underst., 2009

Locally time-invariant models of human activities using trajectories on the grassmannian.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Video-Based Face Recognition Algorithms.
Proceedings of the Handbook of Remote Biometrics, 2009

2008
Machine Recognition of Human Activities: A Survey.
IEEE Trans. Circuits Syst. Video Technol., 2008

An ontology based approach for activity recognition from video.
Proceedings of the 16th International Conference on Multimedia 2008, 2008

Learning action dictionaries from video.
Proceedings of the International Conference on Image Processing, 2008

Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
From Videos to Verbs: Mining Videos for Activities using a Cascade of Dynamical Systems.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007


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