Pavan K. Turaga

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 112

Top Venues

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga
Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data. CoRR (2024)
Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks. CoRR (2024)
Ankita Shukla, Rishi Dadhich, Rajhans Singh, Anirudh Rayas, Pouria Saidi, Gautam Dasarathy, Visar Berisha, Pavan K. Turaga
Orthogonality and graph divergence losses promote disentanglement in generative models. Frontiers Comput. Sci. 6 (2024)
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga
Topological persistence guided knowledge distillation for wearable sensor data. Eng. Appl. Artif. Intell. 130 (2024)
Baaz Jhaj, Ankita Shukla, Pavan K. Turaga, Michael N. Kozicki
On the impact of pre-training datasets for matching dendritic identifiers using residual nets. AI-SIPM (2024)
Eun Som Jeon, Rahul Khurana, Aishani Pathak, Pavan K. Turaga
Leveraging Topological Guidance for Improved Knowledge Distillation. CoRR (2024)
Rajhans Singh, Ankita Shukla, Pavan K. Turaga
Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments. CVPR Workshops (2023)
Tripti Shukla, Paridhi Maheshwari, Rajhans Singh, Ankita Shukla, Kuldeep Kulkarni, Pavan K. Turaga
Scene Graph Driven Text-Prompt Generation for Image Inpainting. CVPR Workshops (2023)
Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan
Target-Aware Generative Augmentations for Single-Shot Adaptation. CoRR (2023)
Eun Som Jeon, Suhas Lohit, Rushil Anirudh, Pavan K. Turaga
Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks. ICASSP (2023)
Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan
Target-Aware Generative Augmentations for Single-Shot Adaptation. ICML (2023)
Rachael E. Jack, Vishal M. Patel, Pavan K. Turaga, Mayank Vatsa, Rama Chellappa, Alex Pentland, Richa Singh
Best Paper Section IEEE International Conference on Automatic Face and Gesture Recognition 2021. IEEE Trans. Biom. Behav. Identity Sci. 5 (3) (2023)
Rajhans Singh, Ankita Shukla, Pavan K. Turaga
Polynomial Implicit Neural Representations For Large Diverse Datasets. CVPR (2023)
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga
Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data. IEEE Trans. Instrum. Meas. 72 (2023)
Rakshith Subramanyam, Kowshik Thopalli, Spring Berman, Pavan K. Turaga, Jayaraman J. Thiagarajan
Single-Shot Domain Adaptation via Target-Aware Generative Augmentations. ICASSP (2023)
Rajhans Singh, Ankita Shukla, Pavan K. Turaga
Polynomial Implicit Neural Representations For Large Diverse Datasets. CoRR (2023)
Kowshik Thopalli, Rushil Anirudh, Pavan K. Turaga, Jayaraman J. Thiagarajan
The Surprising Effectiveness of Deep Orthogonal Procrustes Alignment in Unsupervised Domain Adaptation. IEEE Access 11 (2023)
Shenyuan Liang, Pavan K. Turaga, Anuj Srivastava
Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae. CoRR (2023)
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga
Topological Knowledge Distillation for Wearable Sensor Data. IEEECONF (2022)
Rakshith Subramanyam, Kowshik Thopalli, Spring Berman, Pavan K. Turaga, Jayaraman J. Thiagarajan
Single-Shot Domain Adaptation via Target-Aware Generative Augmentation. CoRR (2022)
Kowshik Thopalli, Jayaraman J. Thiagarajan, Rushil Anirudh, Pavan K. Turaga
Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation. CoRR (2022)
Kowshik Thopalli, Pavan K. Turaga, Jayaraman J. Thiagarajan
Domain Alignment Meets Fully Test-Time Adaptation. CoRR (2022)
Kowshik Thopalli, Pavan K. Turaga, Jayaraman J. Thiagarajan
Domain Alignment Meets Fully Test-Time Adaptation. ACML (2022)
Kowshik Thopalli, Sameeksha Katoch, Andreas Spanias, Pavan K. Turaga, Jayaraman J. Thiagarajan
Improving Multi-Domain Generalization through Domain Re-labeling. CoRR (2021)
Visar Berisha, Chelsea Krantsevich, P. Richard Hahn, Shira Hahn, Gautam Dasarathy, Pavan K. Turaga, Julie Liss
Digital medicine and the curse of dimensionality. npj Digit. Medicine 4 (2021)
Suhas Lohit, Rushil Anirudh, Pavan K. Turaga
Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization. WACV (2021)
Ankita Shukla, Rushil Anirudh, Eugene Kur, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Brian K. Spears, Tammy Ma, Pavan K. Turaga
Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion. CoRR (2021)
Ella Y. Wang, Anirudh Som, Ankita Shukla, Hongjun Choi, Pavan K. Turaga
Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint. CoRR (2021)
Rushil Anirudh, Suhas Lohit, Pavan K. Turaga
Generative Patch Priors for Practical Compressive Image Recovery. WACV (2021)
Kuldeep Kulkarni, Tejas Gokhale, Rajhans Singh, Pavan K. Turaga, Aswin C. Sankaranarayanan
Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships. CoRR (2020)
Hongjun Choi, Anirudh Som, Pavan K. Turaga
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification. CVPR Workshops (2020)
Ankita Shukla, Pavan K. Turaga, Saket Anand
GraCIAS: Grassmannian of Corrupted Images for Adversarial Security. CoRR (2020)
Boulbaba Ben Amor, Anuj Srivastava, Pavan K. Turaga, Grisha Coleman
A Framework for Interpretable Full-Body Kinematic Description Using Geometric and Functional Analysis. IEEE Trans. Biomed. Eng. 67 (6) (2020)
Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. CVPR Workshops (2020)
Afra Nawar, Farhan Rahman, Narayanan Krishnamurthi, Anirudh Som, Pavan K. Turaga
Topological Descriptors for Parkinson's Disease Classification and Regression Analysis. CoRR (2020)
Dosun Shin, Matthew P. Buman, Pavan K. Turaga, Assegid Kidane, Todd Ingalls
New Investment of Innovative Design of the Future Workstation: Advancing Sedentary Work Behavior. IHIET (Paris) (2020)
Suhas Lohit, Rushil Anirudh, Pavan K. Turaga
Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization. CoRR (2020)
Afra Nawar, Farhan Rahman, Narayanan Krishnamurthi, Anirudh Som, Pavan K. Turaga
Topological Descriptors for Parkinson's Disease Classification and Regression Analysis. EMBC (2020)
Kaushik Koneripalli, Suhas Lohit, Rushil Anirudh, Pavan K. Turaga
Rate-Invariant Autoencoding of Time-Series. ICASSP (2020)
Anirudh Som, Narayanan Krishnamurthi, Matthew P. Buman, Pavan K. Turaga
Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns. CoRR (2020)
Rushil Anirudh, Suhas Lohit, Pavan K. Turaga
Generative Patch Priors for Practical Compressive Image Recovery. CoRR (2020)
Dosun Shin, Matthew P. Buman, Pavan K. Turaga, Assegid Kidane, Todd Ingalls
Design of the Future Workstation: Enhancing Health and Wellbeing on the Job. AHFE (13) (2020)
Anirudh Som, Narayanan Krishnamurthi, Matthew P. Buman, Pavan K. Turaga
Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns. EMBC (2020)
Hongjun Choi, Anirudh Som, Pavan K. Turaga
Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification. CoRR (2020)
Hongjun Choi, Anirudh Som, Pavan K. Turaga
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification. CoRR (2020)
Berkay Kanberoglu, Dhritiman Das, Priya Nair, Pavan K. Turaga, David H. Frakes
An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation. Int. J. Biomed. Imaging 2019 (2019)
Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. CoRR (2019)
Kowshik Thopalli, Jayaraman J. Thiagarajan, Rushil Anirudh, Pavan K. Turaga
SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation. CoRR (2019)
Suhas Lohit, Rajhans Singh, Kuldeep Kulkarni, Pavan K. Turaga
Rank-Regularized Measurement Operators for Compressive Imaging. ACSSC (2019)
Divya Mohan, Sameeksha Katoch, Suren Jayasuriya, Pavan K. Turaga, Andreas Spanias
Adaptive Video Subsampling For Energy-Efficient Object Detection. ACSSC (2019)
Juan Andrade, Sameeksha Katoch, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu, Kristen Jaskie
Formation-aware Cloud Segmentation of Ground-based Images with Applications to PV Systems. IISA (2019)
Kowshik Thopalli, Rushil Anirudh, Jayaraman J. Thiagarajan, Pavan K. Turaga
Multiple Subspace Alignment Improves Domain Adaptation. ICASSP (2019)
Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga
Geometry of Deep Generative Models for Disentangled Representations. CoRR (2019)
Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga
Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. CoRR (2019)
Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga
PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. BMVC (2019)
Rajhans Singh, Pavan K. Turaga, Suren Jayasuriya, Ravi Garg, Martin W. Braun
Non-Parametric Priors For Generative Adversarial Networks. CoRR (2019)
Rajhans Singh, Pavan K. Turaga, Suren Jayasuriya, Ravi Garg, Martin W. Braun
Non-Parametric Priors For Generative Adversarial Networks. ICML (2019)
Suhas Lohit, Qiao Wang, Pavan K. Turaga
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping. CVPR (2019)
Sameeksha Katoch, Kowshik Thopalli, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias
Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning. CoRR (2019)
Divya Mohan, Sameeksha Katoch, Suren Jayasuriya, Pavan K. Turaga, Andreas Spanias
An REU Experience in Machine Learning and Computational Cameras. FIE (2019)
Juan Andrade, Pavan K. Turaga, Andreas Spanias
Spatially-Varying Sharpness Map Estimation Based on the Quotient of Spectral Bands. ICIP (2019)
Suhas Lohit, Qiao Wang, Pavan K. Turaga
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping. CoRR (2019)
Kowshik Thopalli, Rushil Anirudh, Jayaraman J. Thiagarajan, Pavan K. Turaga
Multiple Subspace Alignment Improves Domain Adaptation. CoRR (2018)
Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga
Perturbation Robust Representations of Topological Persistence Diagrams. ECCV (7) (2018)
Mayank Gupta, Arjun Jauhari, Kuldeep Kulkarni, Suren Jayasuriya, Alyosha C. Molnar, Pavan K. Turaga
Compressive Light Field Reconstructions using Deep Learning. CoRR (2018)
Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga
Perturbation Robust Representations of Topological Persistence Diagrams. CoRR (2018)
Stefano Berretti, Mohamed Daoudi, Pavan K. Turaga, Anup Basu
Representation, Analysis, and Recognition of 3D Humans: A Survey. ACM Trans. Multim. Comput. Commun. Appl. 14 (1s) (2018)
Piyum Fernando, Jennifer Weiler, Stacey Kuznetsov, Pavan K. Turaga
Tracking, Animating, and 3D Printing Elements of the Fine Arts Freehand Drawing Process. Tangible and Embedded Interaction (2018)
Stefano Berretti, Mohamed Daoudi, Pavan K. Turaga, Anup Basu
Introduction to the Special Issue on Representation, Analysis, and Recognition of 3D Humans. ACM Trans. Multim. Comput. Commun. Appl. 14 (1s) (2018)
Hongjun Choi, Qiao Wang, Meynard John Toledo, Pavan K. Turaga, Matthew P. Buman, Anuj Srivastava
Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition With Accelerometer Data. CVPR Workshops (2018)
Li-Chi Huang, Kuldeep Kulkarni, Anik Jha, Suhas Lohit, Suren Jayasuriya, Pavan K. Turaga
CS-VQA: Visual Question Answering with Compressively Sensed Images. CoRR (2018)
Li-Chi Huang, Kuldeep Kulkarni, Anik Jha, Suhas Lohit, Suren Jayasuriya, Pavan K. Turaga
CS-VQA: Visual Question Answering with Compressively Sensed Images. ICIP (2018)
Suhas Lohit, Kuldeep Kulkarni, Ronan Kerviche, Pavan K. Turaga, Amit Ashok
Convolutional Neural Networks for Noniterative Reconstruction of Compressively Sensed Images. IEEE Trans. Computational Imaging 4 (3) (2018)
Suhas Lohit, Rajhans Singh, Kuldeep Kulkarni, Pavan K. Turaga
Rate-Adaptive Neural Networks for Spatial Multiplexers. CoRR (2018)
Berkay Kanberoglu, Dhritiman Das, Priya Nair, Pavan K. Turaga, David H. Frakes
An Optical Flow-Based Approach for Minimally-Divergent Velocimetry Data Interpolation. CoRR (2018)
Sameeksha Katoch, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu
Fast Non-Linear Methods for Dynamic Texture Prediction. ICIP (2018)
Suhas Lohit, Ankan Bansal, Nitesh Shroff, Jaishanker K. Pillai, Pavan K. Turaga, Rama Chellappa
Predicting Dynamical Evolution of Human Activities From a Single Image. CVPR Workshops (2018)
Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga
Geometry of Deep Generative Models for Disentangled Representations. ICVGIP (2018)
Sameeksha Katoch, Gowtham Muniraju, Sunil Rao, Andreas Spanias, Pavan K. Turaga, Cihan Tepedelenlioglu, Mahesh K. Banavar, Devarajan Srinivasan
Shading prediction, fault detection, and consensus estimation for solar array control. ICPS (2018)
Gowtham Muniraju, Sunil Rao, Sameeksha Katoch, Andreas Spanias, Cihan Tepedelenlioglu, Pavan K. Turaga, Mahesh K. Banavar, Devarajan Srinivasan
A Cyber-Physical Photovoltaic Array Monitoring and Control System. Int. J. Monit. Surveillance Technol. Res. 5 (3) (2017)
Qiao Wang, Chaitanya Potaraju, Pavan K. Turaga
Measuring Glide-Reflection Symmetry in Human Movements Using Elastic Shape Analysis. CVPR Workshops (2017)
Suhas Lohit, Pavan K. Turaga
Learning Invariant Riemannian Geometric Representations Using Deep Nets. ICCV Workshops (2017)
Suhas Lohit, Pavan K. Turaga
Learning Invariant Riemannian Geometric Representations Using Deep Nets. CoRR (2017)
Suhas Lohit, Kuldeep Kulkarni, Ronan Kerviche, Pavan K. Turaga, Amit Ashok
Convolutional Neural Networks for Non-iterative Reconstruction of Compressively Sensed Images. CoRR (2017)
Sunil Rao, Sameeksha Katoch, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu, Raja Ayyanar, Henry Braun, Jongmin Lee, Uday Shankar Shanthamallu, Mahesh K. Banavar, Devarajan Srinivasan
A cyber-physical system approach for photovoltaic array monitoring and control. IISA (2017)
Anirudh Som, Narayanan Krishnamurthi, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga
Multiscale evolution of attractor-shape descriptors for assessing Parkinson's disease severity. GlobalSIP (2017)
Mayank Gupta, Arjun Jauhari, Kuldeep Kulkarni, Suren Jayasuriya, Alyosha C. Molnar, Pavan K. Turaga
Compressive Light Field Reconstructions Using Deep Learning. CVPR Workshops (2017)
Rushil Anirudh, Pavan K. Turaga, Jingyong Su, Anuj Srivastava
Elastic Functional Coding of Riemannian Trajectories. IEEE Trans. Pattern Anal. Mach. Intell. 39 (5) (2017)
Vinay Venkataraman, Pavan K. Turaga, Michael Baran, Nicole Lehrer, Tingfang Du, Long Cheng, Thanassis Rikakis, Steven L. Wolf
Component-Level Tuning of Kinematic Features From Composite Therapist Impressions of Movement Quality. IEEE J. Biomed. Health Informatics 20 (1) (2016)
Anirudh Som, Narayanan Krishnamurthi, Vinay Venkataraman, Pavan K. Turaga
Attractor-shape descriptors for balance impairment assessment in Parkinson's disease. EMBC (2016)
Kuldeep Kulkarni, Suhas Lohit, Pavan K. Turaga, Ronan Kerviche, Amit Ashok
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements. CVPR (2016)
Rushil Anirudh, Pavan K. Turaga, Jingyong Su, Anuj Srivastava
Elastic Functional Coding of Riemannian Trajectories. CoRR (2016)
Qiao Wang, Suhas Lohit, Meynard John Toledo, Matthew P. Buman, Pavan K. Turaga
A statistical estimation framework for energy expenditure of physical activities from a wrist-worn accelerometer. EMBC (2016)
Vinay Venkataraman, Pavan K. Turaga
Shape Distributions of Nonlinear Dynamical Systems for Video-based Inference. CoRR (2016)
Kuldeep Kulkarni, Pavan K. Turaga
Fast Integral Image Estimation at 1% measurement rate. CoRR (2016)
Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga
Persistent homology of attractors for action recognition. ICIP (2016)
Rushil Anirudh, Ahnaf Masroor, Pavan K. Turaga
Diversity Promoting Online Sampling for Streaming Video Summarization. CoRR (2016)
Kuldeep Kulkarni, Suhas Lohit, Pavan K. Turaga, Ronan Kerviche, Amit Ashok
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements. CoRR (2016)
Vinay Venkataraman, Pavan K. Turaga
Shape Distributions of Nonlinear Dynamical Systems for Video-Based Inference. IEEE Trans. Pattern Anal. Mach. Intell. 38 (12) (2016)
Aswin C. Sankaranarayanan, Matthew A. Herman, Pavan K. Turaga, Kevin F. Kelly
Enhanced Compressive Imaging Using Model-Based Acquisition: Smarter sampling by incorporating domain knowledge. IEEE Signal Process. Mag. 33 (5) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pavan K. Turaga