P. Turaga

P. Turaga, V. Venkataraman, Anirudh Som, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Ceding Control: Empowering Remote Participants in Meetings involving Smart Conference Rooms

Pavan K. Turaga, Mishal Dholakia, Shari Trewin, 2016, AAAI Workshop: Symbiotic Cognitive Systems.

Component-Level Tuning of Kinematic Features From Composite Therapist Impressions of Movement Quality

Long Cheng, Pavan K. Turaga, Thanassis Rikakis, 2016, IEEE Journal of Biomedical and Health Informatics.

Discriminative feature learning from big data for visual recognition

Ling Shao, Haibin Ling, Pavan K. Turaga, 2015, Pattern Recognition.

Domain Alignment Meets Fully Test-Time Adaptation

Jayaraman J. Thiagarajan, P. Turaga, Kowshik Thopalli, 2022, ACML.

Single-Shot Domain Adaptation via Target-Aware Generative Augmentations

P. Turaga, S. Berman, J. Thiagarajan, 2022, IEEE International Conference on Acoustics, Speech, and Signal Processing.

Reconstruction-Free Compressive Vision for Surveillance Applications

Andreas Spanias, Pavan Turaga, Cihan Tepedelenlioglu, 2019, Reconstruction-Free Compressive Vision for Surveillance Applications.

Image Understanding Using Sparse Representations

Karthikeyan Natesan Ramamurthy, Andreas Spanias, Pavan K. Turaga, 2014, Synthesis Lectures on Image, Video, and Multimedia Processing.

A Blur-Robust Descriptor with Applications to Face Recognition

Rama Chellappa, Pavan K. Turaga, Raghuraman Gopalan, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Example-Driven Manifold Priors for Image Deconvolution

Rama Chellappa, Pavan K. Turaga, Vishal M. Patel, 2011, IEEE Transactions on Image Processing.

Statistical Methods and Models for Video-Based Tracking, Modeling, and Recognition

Rama Chellappa, Aswin C. Sankaranarayanan, Ashok Veeraraghavan, 2010, Found. Trends Signal Process..

Modeling and Visualization of Human Activities for Multicamera Networks

Rama Chellappa, Aswin C. Sankaranarayanan, Pavan K. Turaga, 2009, EURASIP J. Image Video Process..

Digital medicine and the curse of dimensionality

Visar Berisha, J. Liss, P. Turaga, 2021, npj Digital Medicine.

Predicting Dynamical Evolution of Human Activities from a Single Image

Rama Chellappa, Pavan K. Turaga, Jaishanker K. Pillai, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition

Rama Chellappa, Ashok Veeraraghavan, Pavan K. Turaga, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Statistical Analysis on Manifolds and Its Applications to Video Analysis

Rama Chellappa, Ashok Veeraraghavan, Pavan K. Turaga, 2010, Video Search and Mining.

Advances in Video-Based Human Activity Analysis: Challenges and Approaches

Rama Chellappa, Ashok Veeraraghavan, Pavan K. Turaga, 2010, Adv. Comput..

Unsupervised view and rate invariant clustering of video sequences q

Rama Chellappa, Ashok Veeraraghavan, Pavan K. Turaga, 2009 .

Statistical and Geometric Modeling of Spatio-Temporal Patterns for Video Understanding

Pavan K. Turaga, P. Turaga, 2009 .

Recognition of Humans and their Activities using Statistical analysis on Stiefel and Grassmann Manifolds

R. Chellappa, A. Veeraraghavan, P. Turaga, 2008 .

Machine Learning for Solar Array Monitoring, Optimization, and Control

Raja Ayyanar, Pavan Turaga, Devarajan Srinivasan, 2020, Synthesis Lectures on Power Electronics.

Fast Non-Linear Methods for Dynamic Texture Prediction

Andreas Spanias, Pavan K. Turaga, Cihan Tepedelenlioglu, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Moving vistas: Exploiting motion for describing scenes

Rama Chellappa, Pavan K. Turaga, Nitesh Shroff, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds

Rama Chellappa, Pavan K. Turaga, Nitesh Shroff, 2011, NIPS.

COMPRESSIVE ACQUISITION OF DYNAMICAL SCENES

Aswin C. Sankaranarayanan, R. Chellappa, Richard Baraniuk, 2010 .

Face Tracking and Recognition in Video

Rama Chellappa, Shaohua Kevin Zhou, Pavan K. Turaga, 2011, Handbook of Face Recognition.

Polynomial Implicit Neural Representations For Large Diverse Datasets

P. Turaga, Ankita Shukla, Rajhans Singh, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification

Pavan Turaga, Hongjun Choi, Anirudh Som, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements

Pavan K. Turaga, Amit Ashok, Kuldeep Kulkarni, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint

Ella Y. Wang, P. Turaga, Ankita Shukla, 2021, SSRN Electronic Journal.

Decision support for stroke rehabilitation therapy via describable attribute-based decision trees

Pavan K. Turaga, Thanassis Rikakis, Steven L. Wolf, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Attractor-Shape for Dynamical Analysis of Human Movement: Applications in Stroke Rehabilitation and Action Recognition

Pavan K. Turaga, Thanassis Rikakis, Steven L. Wolf, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

Video Précis: Highlighting Diverse Aspects of Videos

Rama Chellappa, Pavan K. Turaga, Nitesh Shroff, 2010, IEEE Transactions on Multimedia.

Video-Based Face Recognition Algorithms

Rama Chellappa, Manuele Bicego, Pavan Turaga, 2009, Handbook of Remote Biometrics.

Machine-Learning-based Algorithms for Automated Image Segmentation Techniques of Transmission X-ray Microscopy (TXM)

Pavan Turaga, Nikhilesh Chawla, Vincent De Andrade, 2021, JOM.

Interdisciplinary Concepts for Design and Implementation of Mixed Reality Interactive Neurorehabilitation Systems for Stroke

Todd Ingalls, Pavan Turaga, Thanassis Rikakis, 2014, Physical Therapy.

Representation, Analysis and Recognition of 3D Humans: A Survey

S. Berretti, M. Daoudi, P. Turaga, 2022 .

Representation, Analysis, and Recognition of 3D Humans

Stefano Berretti, Anup Basu, Pavan Turaga, 2018, ACM Trans. Multim. Comput. Commun. Appl..

Compressive Light Field Reconstructions Using Deep Learning

Pavan K. Turaga, Alyosha C. Molnar, Suren Jayasuriya, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Elastic functional coding of human actions: From vector-fields to latent variables

Rushil Anirudh, Pavan K. Turaga, Anuj Srivastava, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Topological Descriptors for Parkinson’s Disease Classification and Regression Analysis

Pavan Turaga, Narayanan Krishnamurthi, Anirudh Som, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Attractor-shape descriptors for balance impairment assessment in Parkinson's disease

Pavan K. Turaga, Vinay Venkataraman, Narayanan Krishnamurthi, 2016, EMBC.

A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams

Karthikeyan Natesan Ramamurthy, Rushil Anirudh, Pavan K. Turaga, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Persistent homology of attractors for action recognition

Karthikeyan Natesan Ramamurthy, Pavan K. Turaga, Vinay Venkataraman, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Shape Distributions of Nonlinear Dynamical Systems for Video-Based Inference

Pavan K. Turaga, Vinay Venkataraman, P. Turaga, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Generalized Lyapunov Feature for Dynamical Systems on Riemannian Manifolds

Rushil Anirudh, Pavan Turaga, Vinay Venkataraman, 2015 .

From Videos to Verbs: Mining Videos for Activities using a Cascade of Dynamical Systems

Rama Chellappa, Ashok Veeraraghavan, Pavan K. Turaga, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Reconstruction-Free Action Inference from Compressive Imagers

Pavan K. Turaga, Kuldeep Kulkarni, P. Turaga, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Generative Patch Priors for Practical Compressive Image Recovery

Rushil Anirudh, Pavan Turaga, Suhas Lohit, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

Reconstruction-free inference on compressive measurements

Jian Wang, Aswin C. Sankaranarayanan, Pavan K. Turaga, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Differential geometric representations and algorithms for some pattern recognition and computer vision problems

Rama Chellappa, Ruonan Li, Pavan K. Turaga, 2014, Pattern Recognit. Lett..

An ontology based approach for activity recognition from video

Rama Chellappa, Umut Akdemir, Pavan K. Turaga, 2008, ACM Multimedia.

Enhanced Compressive Imaging Using Model-Based Acquisition: Smarter sampling by incorporating domain knowledge

Aswin C. Sankaranarayanan, Pavan K. Turaga, Matthew A. Herman, 2016, IEEE Signal Processing Magazine.

Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization pdf

Rushil Anirudh, Pavan Turaga, Suhas Lohit, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning pdf

Pavan Turaga, Ankita Shukla, Saket Anand, 2019, BMVC.

A Framework for Interpretable Full-Body Kinematic Description Using Geometric and Functional Analysis

Anuj Srivastava, Pavan Turaga, Grisha Coleman, 2020, IEEE Transactions on Biomedical Engineering.

Advances in Video-Based Biometrics

Rama Chellappa, Pavan K. Turaga, R. Chellappa, 2011, Adv. Comput..

Nearest-neighbor search algorithms on non-Euclidean manifolds for computer vision applications

Rama Chellappa, Pavan K. Turaga, R. Chellappa, 2010, ICVGIP '10.

The role of geometry in age estimation

Rama Chellappa, Pavan K. Turaga, Soma Biswas, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Locally time-invariant models of human activities using trajectories on the grassmannian

Rama Chellappa, Pavan K. Turaga, R. Chellappa, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Pattern Recognition

R. Chellappa, P. Turaga, K. Kulkarni, 2019, Wiley Encyclopedia of Electrical and Electronics Engineering.

The Surprising Effectiveness of Deep Orthogonal Procrustes Alignment in Unsupervised Domain Adaptation

P. Turaga, Rushil Anirudh, J. Thiagarajan, 2023, IEEE Access.

Riemannian Computing in Computer Vision

Anuj Srivastava, Pavan Turaga, Anuj Srivastava, 2015 .

LATENT SEQUENCE GENERATION OF STEERED MOLECULAR DYNAMICS

P. Turaga, R. Maciejewski, A. Singharoy, 2023 .

Learning Free Energy Pathways through Reinforcement Learning of Adaptive Steered Molecular Dynamics

P. Turaga, A. Singharoy, Ankita Shukla, 2022, bioRxiv.

Towards Conditional Generation of Minimal Action Potential Pathways for Molecular Dynamics pdf

Ross Maciejewski, Pavan Turaga, John Kevin Cava, 2021, ArXiv.

Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping

Pavan Turaga, Qiao Wang, Suhas Lohit, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Elastic Functional Coding of Riemannian Trajectories

Rushil Anirudh, Anuj Srivastava, Pavan Turaga, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Articulation-Invariant Representation of Non-planar Shapes

Rama Chellappa, Pavan K. Turaga, Raghuraman Gopalan, 2010, ECCV.

Target-Aware Generative Augmentations for Single-Shot Adaptation

P. Turaga, J. Thiagarajan, Rakshith Subramanyam, 2023, ICML.

CS-VQA: Visual Question Answering with Compressively Sensed Images

Pavan K. Turaga, Suren Jayasuriya, Kuldeep Kulkarni, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships

P. Turaga, A. Sankaranarayanan, K. Kulkarni, 2020, ArXiv.

Rank-Regularized Measurement Operators for Compressive Imaging

Pavan Turaga, Kuldeep Kulkarni, Suhas Lohit, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

Formation-aware Cloud Segmentation of Ground-based Images with Applications to PV Systems

Pavan Turaga, Andreas Spanias, Sameeksha Katoch, 2019, 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA).

Direct inference on compressive measurements using convolutional neural networks

Pavan K. Turaga, Kuldeep Kulkarni, Suhas Lohit, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Geometry-based Adaptive Symbolic Approximation for Fast Sequence Matching on Manifolds: Applications to Activity Analysis pdf

Rushil Anirudh, Pavan K. Turaga, P. Turaga, 2014, ArXiv.

Geometry-Based Symbolic Approximation for Fast Sequence Matching on Manifolds

Rushil Anirudh, Pavan K. Turaga, P. Turaga, 2015, International Journal of Computer Vision.

Improving Multi-Domain Generalization through Domain Re-labeling pdf

Pavan Turaga, Jayaraman J. Thiagarajan, Sameeksha Katoch, 2021, ArXiv.

Multi-Domain Ensembles for Domain Generalization

Jayaraman J. Thiagarajan, P. Turaga, A. Spanias, 2021 .

A MACH Filter-Based Reconstruction-Free Target Detector and Tracker for Compressive Sensing Cameras

Pavan Turaga, Andreas Spanias, Sameeksha Katoch, 2020 .

Optical flow for compressive sensing video reconstruction

Andreas Spanias, Pavan K. Turaga, Cihan Tepedelenlioglu, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Training calibration-based counterfactual explainers for deep learning models in medical image analysis

Deepta Rajan, Pavan Turaga, Jayaraman J. Thiagarajan, 2021, Scientific Reports.

Perturbation Robust Representations of Topological Persistence Diagrams

Karthikeyan Natesan Ramamurthy, Pavan K. Turaga, Ankita Shukla, 2018, ECCV.

Geometric Metrics for Topological Representations

Karthikeyan Natesan Ramamurthy, Pavan Turaga, Anirudh Som, 2020 .

Adaptive Video Subsampling For Energy-Efficient Object Detection

Pavan Turaga, Andreas Spanias, Sameeksha Katoch, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

Rate-Adaptive Neural Networks for Spatial Multiplexers pdf

Pavan K. Turaga, Kuldeep Kulkarni, Suhas Lohit, 2018, ArXiv.

Convolutional Neural Networks for Noniterative Reconstruction of Compressively Sensed Images

Pavan Turaga, Amit Ashok, Kuldeep Kulkarni, 2017, IEEE Transactions on Computational Imaging.

Direct classification from compressively sensed images via deep Boltzmann machine

Henry Braun, Pavan K. Turaga, Cihan Tepedelenlioglu, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

Fast Integral Image Estimation at 1% measurement rate pdf

Pavan K. Turaga, Kuldeep Kulkarni, P. Turaga, 2016, ArXiv.

ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements pdf

Pavan K. Turaga, Amit Ashok, Kuldeep Kulkarni, 2016, ArXiv.

Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification pdf

Pavan Turaga, Hongjun Choi, Anirudh Som, 2020, ArXiv.

A cyber-physical system approach for photovoltaic array monitoring and control

Andreas Spanias, Pavan K. Turaga, Mahesh K. Banavar, 2017, 2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA).

Motion, Captured: an Open Repository for Comparative Movement Studies

Pavan K. Turaga, David Tinapple, Grisha Coleman, 2016, MOCO.

Dynamical Regularity for Action Analysis

Pavan K. Turaga, Vinay Venkataraman, Ioannis Vlachos, 2015, BMVC.

Blurring-invariant Riemannian metrics for comparing signals and images

Rama Chellappa, Zhengwu Zhang, Pavan K. Turaga, 2011, 2011 International Conference on Computer Vision.

Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping

P. Turaga, Qiao Wang, Suhas Lohit, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Functional data analysis approach for mapping change in time series: A case study using bicycle ridership patterns

T. Nelson, P. Turaga, Avipsa Roy, 2023, Transportation Research Interdisciplinary Perspectives.

Rate-Invariant Autoencoding of Time-Series

Rushil Anirudh, Pavan Turaga, Suhas Lohit, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Invariant Methods in Computer Vision

Pavan Turaga, Ashok Veeraraghavan, Suhas Lohit, 2020, Computer Vision.

Learning Invariant Riemannian Geometric Representations Using Deep Nets

Pavan K. Turaga, Suhas Lohit, P. Turaga, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition with Accelerometer Data

Pavan K. Turaga, Anuj Srivastava, Qiao Wang, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation

Pavan Turaga, David H. Frakes, Berkay Kanberoglu, 2018, Int. J. Biomed. Imaging.

Recent advances in age and height estimation from still images and video

Rama Chellappa, Pavan K. Turaga, R. Chellappa, 2011, Face and Gesture 2011.

Domain Adaptive Dictionary Learning

Rama Chellappa, Pavan K. Turaga, Vishal M. Patel, 2012, ECCV.

Compressive Visual Question Answering by Li-chi Huang A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Science Approved August 2017 by the Graduate Supervisory Committee: Pavan Turaga, Chair

Yezhou Yang, Baoxin Li, P. Turaga, 2017 .

Automated Domain Discovery from Multiple Sources to Improve Zero-Shot Generalization

P. Turaga, J. Thiagarajan, Sameeksha Katoch, 2021, 2112.09802.

Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning

Jayaraman J. Thiagarajan, A. Spanias, P. Turaga, 2019, ArXiv.

ROBUST TIME SERIES RECOVERY AND CLASSIFICATION USING TEST-TIME NOISE SIMULATOR NETWORKS.

P. Turaga, Rushil Anirudh, Suhas Lohit, 2023, Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP.

Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments

P. Turaga, Ankita Shukla, Rajhans Singh, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Low complexity differential geometric computations with applications to activity analysis

Baoxin Li, P. Turaga, A. Spanias, 2012 .

SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation pdf

Pavan Turaga, Jayaraman J. Thiagarajan, Kowshik Thopalli, 2019, ArXiv.

Automated Movement Assessment in Stroke Rehabilitation

Jia-Bin Huang, T. Rikakis, P. Turaga, 2021, bioRxiv.

Unsupervised view and rate invariant clustering of video sequences

R. Chellappa, P. Turaga, Ashok Veeraraghavan, 2009, Comput. Vis. Image Underst..

On advances in differential-geometric approaches for 2D and 3D shape analyses and activity recognition

Pavan K. Turaga, Anuj Srivastava, Sebastian Kurtek, 2012, Image Vis. Comput..

Welcome to Riemannian Computing in Computer Vision

Anuj Srivastava, Pavan Turaga, Anuj Srivastava, 2016 .

Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study

P. Turaga, Ankita Shukla, Hongjun Choi, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Leveraging angular distributions for improved knowledge distillation

P. Turaga, Ankita Shukla, Hongjun Choi, 2022, Neurocomputing.

Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson’s Disease Classification of Gait Patterns

Pavan Turaga, Narayanan Krishnamurthi, Anirudh Som, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

A heterogeneous dictionary model for representation and recognition of human actions

Karthikeyan Natesan Ramamurthy, Andreas Spanias, Rushil Anirudh, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

UNDERSTANDING THE SPATIAL PATCHWORK OF PREDICTIVE MODELING OF FIRST WAVE PANDEMIC DECISIONS BY US GOVERNORS

P. Turaga, Gautam Dasarathy, P. Solís, 2021, Geographical Review.

Scene Graph Driven Text-Prompt Generation for Image Inpainting

P. Turaga, K. Kulkarni, Rajhans Singh, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Manifold Learning

P. Turaga, Rushil Anirudh, Rama Chellappa, 2020, Computer Vision.

Attractor-shape descriptors for balance impairment assessment in Parkinson's disease

P. Turaga, Anirudh Som, Narayanan Krishnamurthi, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Head Rotation Detection in Marmoset Monkeys by Sravanthi Simhadri A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Science Approved June 2014 by the Graduate Supervisory Committee: Pavan Turaga, Co-Chair

Visar Berisha, P. Turaga, Yi Zhou, 2014 .

SomaTech: an exploratory interface for altering movement habits

Pavan K. Turaga, Todd Ingalls, Qiao Wang, 2014, CHI Extended Abstracts.

Towards realtime measurement of connectedness in human movement

Rushil Anirudh, Pavan K. Turaga, Sha Xin Wei, 2015, MOCO.

Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae

Anuj Srivastava, P. Turaga, Shenyuan Liang, 2023, ArXiv.