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ORCIDPavan K. Turaga
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- affiliation: Arizona State University, Tempe, AZ, USA
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2020 – today
- 2024
[j36]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: 107719 (2024)- [j35]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) - [j34]Eun Som Jeon, Matthew P. Buman, Pavan K. Turaga:
Uncertainty-Aware Topological Persistence Guided Knowledge Distillation on Wearable Sensor Data. IEEE Internet Things J. 11(18): 30413-30429 (2024) - [c82]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: 2 - [i52]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 abs/2403.14140 (2024) - [i51]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 abs/2407.05315 (2024) - [i50]Eun Som Jeon, Rahul Khurana, Aishani Pathak, Pavan K. Turaga:
Leveraging Topological Guidance for Improved Knowledge Distillation. CoRR abs/2407.05316 (2024) - [i49]Utkarsh Nath, Rajeev Goel, Eun Som Jeon, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan K. Turaga:
Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation. CoRR abs/2408.05938 (2024) - 2023
- [j33]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: 12858-12869 (2023) - [j32]Eun Som Jeon, Hongjun Choi, Ankita Shukla, Pavan K. Turaga:
Leveraging angular distributions for improved knowledge distillation. Neurocomputing 518: 466-481 (2023) - [j31]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): 305-307 (2023) - [j30]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: 1-14 (2023) - [c81]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: 759-768 - [c80]Rajhans Singh, Ankita Shukla, Pavan K. Turaga:
Polynomial Implicit Neural Representations For Large Diverse Datasets. CVPR 2023: 2041-2051 - [c79]Rajhans Singh, Ankita Shukla, Pavan K. Turaga:
Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments. CVPR Workshops 2023: 4159-4168 - [c78]Eun Som Jeon, Suhas Lohit, Rushil Anirudh, Pavan K. Turaga:
Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks. ICASSP 2023: 1-5 - [c77]Rakshith Subramanyam, Kowshik Thopalli, Spring Berman, Pavan K. Turaga, Jayaraman J. Thiagarajan:
Single-Shot Domain Adaptation via Target-Aware Generative Augmentations. ICASSP 2023: 1-5 - [c76]Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan:
Target-Aware Generative Augmentations for Single-Shot Adaptation. ICML 2023: 34105-34119 - [c75]Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan K. Turaga:
Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study. WACV 2023: 2318-2327 - [i48]Eun Som Jeon, Hongjun Choi, Ankita Shukla, Pavan K. Turaga:
Leveraging Angular Distributions for Improved Knowledge Distillation. CoRR abs/2302.14130 (2023) - [i47]Rajhans Singh, Ankita Shukla, Pavan K. Turaga:
Polynomial Implicit Neural Representations For Large Diverse Datasets. CoRR abs/2303.11424 (2023) - [i46]Shenyuan Liang, Pavan K. Turaga, Anuj Srivastava:
Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae. CoRR abs/2305.10513 (2023) - [i45]Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan:
Target-Aware Generative Augmentations for Single-Shot Adaptation. CoRR abs/2305.13284 (2023) - 2022
- [j29]Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan K. Turaga:
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data. IEEE Internet Things J. 9(14): 12848-12860 (2022) - [c74]Kowshik Thopalli, Pavan K. Turaga, Jayaraman J. Thiagarajan:
Domain Alignment Meets Fully Test-Time Adaptation. ACML 2022: 1006-1021 - [c73]Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga:
Topological Knowledge Distillation for Wearable Sensor Data. IEEECONF 2022: 837-842 - [i44]Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan K. Turaga:
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data. CoRR abs/2201.00111 (2022) - [i43]Kowshik Thopalli, Jayaraman J. Thiagarajan, Rushil Anirudh, Pavan K. Turaga:
Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation. CoRR abs/2201.01806 (2022) - [i42]Rajhans Singh, Ankita Shukla, Pavan K. Turaga:
Deep Geometric Moment. CoRR abs/2205.11722 (2022) - [i41]Kowshik Thopalli, Pavan K. Turaga, Jayaraman J. Thiagarajan:
Domain Alignment Meets Fully Test-Time Adaptation. CoRR abs/2207.04185 (2022) - [i40]Rakshith Subramanyam, Kowshik Thopalli, Spring Berman, Pavan K. Turaga, Jayaraman J. Thiagarajan:
Single-Shot Domain Adaptation via Target-Aware Generative Augmentation. CoRR abs/2210.16692 (2022) - [i39]Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan K. Turaga:
Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study. CoRR abs/2211.03946 (2022) - 2021
- [j28]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) - [c72]Suhas Lohit, Rushil Anirudh, Pavan K. Turaga:
Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization. WACV 2021: 2341-2350 - [c71]Rushil Anirudh, Suhas Lohit, Pavan K. Turaga:
Generative Patch Priors for Practical Compressive Image Recovery. WACV 2021: 2534-2544 - [i38]Ella Y. Wang, Anirudh Som, Ankita Shukla, Hongjun Choi, Pavan K. Turaga:
Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint. CoRR abs/2102.08360 (2021) - [i37]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 abs/2111.12798 (2021) - [i36]John Kevin Cava, John W. Vant, Nicholas Ho, Ankita Shulka, Pavan K. Turaga, Ross Maciejewski, Abhishek Singharoy:
Towards Conditional Generation of Minimal Action Potential Pathways for Molecular Dynamics. CoRR abs/2111.14053 (2021) - [i35]Kowshik Thopalli, Sameeksha Katoch, Andreas Spanias, Pavan K. Turaga, Jayaraman J. Thiagarajan:
Improving Multi-Domain Generalization through Domain Re-labeling. CoRR abs/2112.09802 (2021) - 2020
- [b4]Sunil Rao, Sameeksha Katoch, Vivek Sivaraman Narayanaswamy, Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias, Pavan K. Turaga, Raja Ayyanar, Devarajan Srinivasan:
Machine Learning for Solar Array Monitoring, Optimization, and Control. Synthesis Lectures on Power Electronics, Morgan & Claypool Publishers 2020, ISBN 978-3-031-01377-5 - [j27]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): 1761-1774 (2020) - [c70]Dosun Shin, Matthew P. Buman, Pavan K. Turaga, Assegid Kidané, Todd Ingalls:
Design of the Future Workstation: Enhancing Health and Wellbeing on the Job. AHFE (13) 2020: 407-413 - [c69]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: 3639-3648 - [c68]Hongjun Choi, Anirudh Som, Pavan K. Turaga:
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification. CVPR Workshops 2020: 3659-3666 - [c67]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: 784-788 - [c66]Afra Nawar, Farhan Rahman, Narayanan Krishnamurthi, Anirudh Som, Pavan K. Turaga:
Topological Descriptors for Parkinson's Disease Classification and Regression Analysis. EMBC 2020: 793-797 - [c65]Kaushik Koneripalli, Suhas Lohit, Rushil Anirudh, Pavan K. Turaga:
Rate-Invariant Autoencoding of Time-Series. ICASSP 2020: 3732-3736 - [c64]Dosun Shin, Matthew P. Buman, Pavan K. Turaga, Assegid Kidané, Todd Ingalls:
New Investment of Innovative Design of the Future Workstation: Advancing Sedentary Work Behavior. IHIET (Paris) 2020: 371-376 - [i34]Afra Nawar, Farhan Rahman, Narayanan Krishnamurthi, Anirudh Som, Pavan K. Turaga:
Topological Descriptors for Parkinson's Disease Classification and Regression Analysis. CoRR abs/2004.07384 (2020) - [i33]Kuldeep Kulkarni, Tejas Gokhale, Rajhans Singh, Pavan K. Turaga, Aswin C. Sankaranarayanan:
Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships. CoRR abs/2004.08614 (2020) - [i32]Hongjun Choi, Anirudh Som, Pavan K. Turaga:
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification. CoRR abs/2004.09805 (2020) - [i31]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 abs/2005.02589 (2020) - [i30]Ankita Shukla, Pavan K. Turaga, Saket Anand:
GraCIAS: Grassmannian of Corrupted Images for Adversarial Security. CoRR abs/2005.02936 (2020) - [i29]Rushil Anirudh, Suhas Lohit, Pavan K. Turaga:
Generative Patch Priors for Practical Compressive Image Recovery. CoRR abs/2006.10873 (2020) - [i28]Hongjun Choi, Anirudh Som, Pavan K. Turaga:
Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification. CoRR abs/2009.10762 (2020) - [i27]Suhas Lohit, Rushil Anirudh, Pavan K. Turaga:
Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization. CoRR abs/2012.02043 (2020)
2010 – 2019
- 2019
- [b3]Henry Braun, Pavan K. Turaga, Andreas Spanias, Sameeksha Katoch, Suren Jayasuriya, Cihan Tepedelenlioglu:
Reconstruction-Free Compressive Vision for Surveillance Applications. Synthesis Lectures on Signal Processing, Morgan & Claypool Publishers 2019, ISBN 978-3-031-01413-0 - [j26]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: 9435163:1-9435163:14 (2019) - [c63]Divya Mohan, Sameeksha Katoch, Suren Jayasuriya, Pavan K. Turaga, Andreas Spanias:
Adaptive Video Subsampling For Energy-Efficient Object Detection. ACSSC 2019: 103-107 - [c62]Suhas Lohit, Rajhans Singh, Kuldeep Kulkarni, Pavan K. Turaga:
Rank-Regularized Measurement Operators for Compressive Imaging. ACSSC 2019: 942-946 - [c61]Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga:
PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. BMVC 2019: 88 - [c60]Suhas Lohit, Qiao Wang, Pavan K. Turaga:
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping. CVPR 2019: 12426-12435 - [c59]Divya Mohan, Sameeksha Katoch, Suren Jayasuriya, Pavan K. Turaga, Andreas Spanias:
An REU Experience in Machine Learning and Computational Cameras. FIE 2019: 1-5 - [c58]Kowshik Thopalli, Rushil Anirudh, Jayaraman J. Thiagarajan, Pavan K. Turaga:
Multiple Subspace Alignment Improves Domain Adaptation. ICASSP 2019: 3552-3556 - [c57]Juan Andrade, Pavan K. Turaga, Andreas Spanias:
Spatially-Varying Sharpness Map Estimation Based on the Quotient of Spectral Bands. ICIP 2019: 4020-4024 - [c56]Rajhans Singh, Pavan K. Turaga, Suren Jayasuriya, Ravi Garg, Martin W. Braun:
Non-Parametric Priors For Generative Adversarial Networks. ICML 2019: 5838-5847 - [c55]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: 1-7 - [i26]Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga:
Geometry of Deep Generative Models for Disentangled Representations. CoRR abs/1902.06964 (2019) - [i25]Rajhans Singh, Pavan K. Turaga, Suren Jayasuriya, Ravi Garg, Martin W. Braun:
Non-Parametric Priors For Generative Adversarial Networks. CoRR abs/1905.07061 (2019) - [i24]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 abs/1906.01769 (2019) - [i23]Kowshik Thopalli, Jayaraman J. Thiagarajan, Rushil Anirudh, Pavan K. Turaga:
SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation. CoRR abs/1906.04338 (2019) - [i22]Suhas Lohit, Qiao Wang, Pavan K. Turaga:
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping. CoRR abs/1906.05947 (2019) - [i21]Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga:
Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. CoRR abs/1907.09554 (2019) - [i20]Sameeksha Katoch, Kowshik Thopalli, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias:
Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning. CoRR abs/1911.10600 (2019) - 2018
- [j25]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): 326-340 (2018) - [j24]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): 15:1-15:2 (2018) - [j23]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): 16:1-16:36 (2018) - [c54]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: 349-357 - [c53]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: 383-392 - [c52]Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga:
Perturbation Robust Representations of Topological Persistence Diagrams. ECCV (7) 2018: 638-659 - [c51]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: 1283-1287 - [c50]Sameeksha Katoch, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu:
Fast Non-Linear Methods for Dynamic Texture Prediction. ICIP 2018: 2107-2111 - [c49]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: 217-222 - [c48]Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga:
Geometry of Deep Generative Models for Disentangled Representations. ICVGIP 2018: 68:1-68:8 - [c47]Piyum Fernando, Jennifer Weiler, Stacey Kuznetsov, Pavan K. Turaga:
Tracking, Animating, and 3D Printing Elements of the Fine Arts Freehand Drawing Process. TEI 2018: 555-561 - [i19]Mayank Gupta, Arjun Jauhari, Kuldeep Kulkarni, Suren Jayasuriya, Alyosha C. Molnar, Pavan K. Turaga:
Compressive Light Field Reconstructions using Deep Learning. CoRR abs/1802.01722 (2018) - [i18]Li-Chi Huang, Kuldeep Kulkarni, Anik Jha, Suhas Lohit, Suren Jayasuriya, Pavan K. Turaga:
CS-VQA: Visual Question Answering with Compressively Sensed Images. CoRR abs/1806.03379 (2018) - [i17]Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga:
Perturbation Robust Representations of Topological Persistence Diagrams. CoRR abs/1807.10400 (2018) - [i16]Suhas Lohit, Rajhans Singh, Kuldeep Kulkarni, Pavan K. Turaga:
Rate-Adaptive Neural Networks for Spatial Multiplexers. CoRR abs/1809.02850 (2018) - [i15]Kowshik Thopalli, Rushil Anirudh, Jayaraman J. Thiagarajan, Pavan K. Turaga:
Multiple Subspace Alignment Improves Domain Adaptation. CoRR abs/1811.04491 (2018) - [i14]Berkay Kanberoglu, Dhritiman Das, Priya Nair, Pavan K. Turaga, David H. Frakes:
An Optical Flow-Based Approach for Minimally-Divergent Velocimetry Data Interpolation. CoRR abs/1812.08882 (2018) - 2017
- [j22]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): 33-56 (2017) - [j21]Rushil Anirudh, Pavan K. Turaga, Jingyong Su, Anuj Srivastava:
Elastic Functional Coding of Riemannian Trajectories. IEEE Trans. Pattern Anal. Mach. Intell. 39(5): 922-936 (2017) - [c46]Qiao Wang, Chaitanya Potaraju, Pavan K. Turaga:
Measuring Glide-Reflection Symmetry in Human Movements Using Elastic Shape Analysis. CVPR Workshops 2017: 709-716 - [c45]Mayank Gupta, Arjun Jauhari, Kuldeep Kulkarni, Suren Jayasuriya, Alyosha C. Molnar, Pavan K. Turaga:
Compressive Light Field Reconstructions Using Deep Learning. CVPR Workshops 2017: 1277-1286 - [c44]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: 938-942 - [c43]Suhas Lohit, Pavan K. Turaga:
Learning Invariant Riemannian Geometric Representations Using Deep Nets. ICCV Workshops 2017: 1329-1338 - [c42]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: 1-6 - [p5]Rushil Anirudh, Pavan K. Turaga, Anuj Srivastava:
Optimization Problems Associated with Manifold-Valued Curves with Applications in Computer Vision. Handbook of Convex Optimization Methods in Imaging Science 2017: 207-228 - [i13]Suhas Lohit, Kuldeep Kulkarni, Ronan Kerviche, Pavan K. Turaga, Amit Ashok:
Convolutional Neural Networks for Non-iterative Reconstruction of Compressively Sensed Images. CoRR abs/1708.04669 (2017) - [i12]Suhas Lohit, Pavan K. Turaga:
Learning Invariant Riemannian Geometric Representations Using Deep Nets. CoRR abs/1708.09485 (2017) - 2016
- [j20]Rushil Anirudh, Pavan K. Turaga:
Geometry-Based Symbolic Approximation for Fast Sequence Matching on Manifolds. Int. J. Comput. Vis. 116(2): 161-173 (2016) - [j19]Kuldeep Kulkarni, Pavan K. Turaga:
Reconstruction-Free Action Inference from Compressive Imagers. IEEE Trans. Pattern Anal. Mach. Intell. 38(4): 772-784 (2016) - [j18]Vinay Venkataraman, Pavan K. Turaga:
Shape Distributions of Nonlinear Dynamical Systems for Video-Based Inference. IEEE Trans. Pattern Anal. Mach. Intell. 38(12): 2531-2543 (2016) - [j17]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): 81-94 (2016) - [j16]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): 143-152 (2016) - [c41]Vinay Venkataraman, Jonathan Lenchner, Shari Trewin, Maryam Ashoori, Shang Guo, Mishal Dholakia, Pavan K. Turaga:
Ceding Control: Empowering Remote Participants in Meetings involving Smart Conference Rooms. AAAI Workshop: Symbiotic Cognitive Systems 2016 - [c40]Henry Braun, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu:
Direct classification from compressively sensed images via deep Boltzmann machine. ACSSC 2016: 454-457 - [c39]Kuldeep Kulkarni, Suhas Lohit, Pavan K. Turaga, Ronan Kerviche, Amit Ashok:
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements. CVPR 2016: 449-458 - [c38]Anirudh Som, Rushil Anirudh, Qiao Wang, Pavan K. Turaga:
Riemannian Geometric Approaches for Measuring Movement Quality. CVPR Workshops 2016: 1005 - [c37]Rushil Anirudh, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga:
A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams. CVPR Workshops 2016: 1023-1031 - [c36]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: 2631-2635 - [c35]Anirudh Som, Narayanan Krishnamurthi, Vinay Venkataraman, Pavan K. Turaga:
Attractor-shape descriptors for balance impairment assessment in Parkinson's disease. EMBC 2016: 3096-3100 - [c34]Huan Song, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias, Pavan K. Turaga:
Consensus inference on mobile phone sensors for activity recognition. ICASSP 2016: 2294-2298 - [c33]Suhas Lohit, Kuldeep Kulkarni, Pavan K. Turaga:
Direct inference on compressive measurements using convolutional neural networks. ICIP 2016: 1913-1917 - [c32]Rushil Anirudh, Ahnaf Masroor, Pavan K. Turaga:
Diversity promoting online sampling for streaming video summarization. ICIP 2016: 3329-3333 - [c31]Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga:
Persistent homology of attractors for action recognition. ICIP 2016: 4150-4154 - [c30]Varsha Iyengar, Grisha Coleman, David Tinapple, Pavan K. Turaga:
Motion, Captured: an Open Repository for Comparative Movement Studies. MOCO 2016: 17:1-17:6 - [i11]Kuldeep Kulkarni, Suhas Lohit, Pavan K. Turaga, Ronan Kerviche, Amit Ashok:
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements. CoRR abs/1601.06892 (2016) - [i10]Kuldeep Kulkarni, Pavan K. Turaga:
Fast Integral Image Estimation at 1% measurement rate. CoRR abs/1601.07258 (2016) - [i9]Vinay Venkataraman, Pavan K. Turaga:
Shape Distributions of Nonlinear Dynamical Systems for Video-based Inference. CoRR abs/1601.07471 (2016) - [i8]Rushil Anirudh, Pavan K. Turaga, Jingyong Su, Anuj Srivastava:
Elastic Functional Coding of Riemannian Trajectories. CoRR abs/1603.02200 (2016) - [i7]Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga:
Persistent Homology of Attractors For Action Recognition. CoRR abs/1603.05310 (2016) - [i6]Rushil Anirudh, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga:
A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams. CoRR abs/1605.08912 (2016) - [i5]Rushil Anirudh, Ahnaf Masroor, Pavan K. Turaga:
Diversity Promoting Online Sampling for Streaming Video Summarization. CoRR abs/1610.09582 (2016) - 2015
- [j15]Zhuolin Jiang, Zhe Lin, Haibin Ling, Fatih Porikli, Ling Shao, Pavan K. Turaga:
Discriminative feature learning from big data for visual recognition. Pattern Recognit. 48(10): 2961-2963 (2015) - [c29]Vinay Venkataraman, Ioannis Vlachos, Pavan K. Turaga:
Dynamical Regularity for Action Analysis. BMVC 2015: 67.1-67.12 - [c28]Suhas Lohit, Kuldeep Kulkarni, Pavan K. Turaga, Jian Wang, Aswin C. Sankaranarayanan:
Reconstruction-free inference on compressive measurements. CVPR Workshops 2015: 16-24 - [c27]Rushil Anirudh, Pavan K. Turaga, Jingyong Su, Anuj Srivastava:
Elastic functional coding of human actions: From vector-fields to latent variables. CVPR 2015: 3147-3155 - [c26]Aswin Sivakumar, Rushil Anirudh, Pavan K. Turaga:
Geometric Compression of Orientation Signals for Fast Gesture Analysis. DCC 2015: 423-432 - [c25]Michael Krzyzaniak, Rushil Anirudh, Vinay Venkataraman, Pavan K. Turaga, Sha Xin Wei:
Towards realtime measurement of connectedness in human movement. MOCO 2015: 120-123 - [i4]Kuldeep Kulkarni, Pavan K. Turaga:
Reconstruction-free action inference from compressive imagers. CoRR abs/1501.04367 (2015) - 2014
- [b2]Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga, Andreas Spanias:
Image Understanding Using Sparse Representations. Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers 2014, ISBN 978-3-031-01122-1 - [j14]Ruonan Li, Pavan K. Turaga, Anuj Srivastava, Rama Chellappa:
Differential geometric representations and algorithms for some pattern recognition and computer vision problems. Pattern Recognit. Lett. 43: 3-16 (2014) - [c24]Qiao Wang, Pavan K. Turaga, Grisha Coleman, Todd Ingalls:
SomaTech: an exploratory interface for altering movement habits. CHI Extended Abstracts 2014: 1765-1770 - [c23]Vinay Venkataraman, Pavan K. Turaga, Nicole Lehrer, Michael Baran, Thanassis Rikakis, Steven L. Wolf:
Decision support for stroke rehabilitation therapy via describable attribute-based decision trees. EMBC 2014: 3154-3159 - [c22]Henry Braun, Pavan K. Turaga, Andreas Spanias:
Direct tracking from compressive imagers: A proof of concept. ICASSP 2014: 8139-8142 - [c21]Rushil Anirudh, Pavan K. Turaga:
Interactively test driving an object detector: Estimating performance on unlabeled data. WACV 2014: 175-182 - [r1]Rama Chellappa, Pavan K. Turaga:
Feature Selection. Computer Vision, A Reference Guide 2014: 291-294 - [i3]Rushil Anirudh, Pavan K. Turaga:
Geometry-based Adaptive Symbolic Approximation for Fast Sequence Matching on Manifolds: Applications to Activity Analysis. CoRR abs/1403.0820 (2014) - [i2]Rushil Anirudh, Pavan K. Turaga:
Interactively Test Driving an Object Detector: Estimating Performance on Unlabeled Data. CoRR abs/1406.5653 (2014) - 2013
- [j13]Aswin C. Sankaranarayanan, Pavan K. Turaga, Rama Chellappa, Richard G. Baraniuk:
Compressive Acquisition of Linear Dynamical Systems. SIAM J. Imaging Sci. 6(4): 2109-2133 (2013) - [c20]Vinay Venkataraman, Pavan K. Turaga, Nicole Lehrer, Michael Baran, Thanassis Rikakis, Steven L. Wolf:
Attractor-Shape for Dynamical Analysis of Human Movement: Applications in Stroke Rehabilitation and Action Recognition. CVPR Workshops 2013: 514-520 - [c19]Henry Braun, Pavan K. Turaga, Cihan Tepedelenlioglu, Andreas Spanias:
Optical flow for compressive sensing video reconstruction. ICASSP 2013: 2267-2271 - [c18]Rushil Anirudh, Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias:
A heterogeneous dictionary model for representation and recognition of human actions. ICASSP 2013: 3472-3476 - 2012
- [j12]Anuj Srivastava, Pavan K. Turaga, Sebastian Kurtek:
On advances in differential-geometric approaches for 2D and 3D shape analyses and activity recognition. Image Vis. Comput. 30(6-7): 398-416 (2012) - [j11]Raghuraman Gopalan, Sima Taheri, Pavan K. Turaga, Rama Chellappa:
A Blur-Robust Descriptor with Applications to Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 34(6): 1220-1226 (2012) - [j10]Tao Wu, Pavan K. Turaga, Rama Chellappa:
Age Estimation and Face Verification Across Aging Using Landmarks. IEEE Trans. Inf. Forensics Secur. 7(6): 1780-1788 (2012) - [c17]Qiang Qiu, Vishal M. Patel, Pavan K. Turaga, Rama Chellappa:
Domain Adaptive Dictionary Learning. ECCV (4) 2012: 631-645 - [c16]Kuldeep Kulkarni, Pavan K. Turaga:
Recurrence textures for human activity recognition from compressive cameras. ICIP 2012: 1417-1420 - [i1]Aswin C. Sankaranarayanan, Pavan K. Turaga, Rama Chellappa, Richard G. Baraniuk:
Compressive Acquisition of Dynamic Scenes. CoRR abs/1201.4895 (2012) - 2011
- [j9]Rama Chellappa, Pavan K. Turaga:
Advances in Video-Based Biometrics. Adv. Comput. 83: 183-203 (2011) - [j8]Pavan K. Turaga, Ashok Veeraraghavan, Anuj Srivastava, Rama Chellappa:
Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 33(11): 2273-2286 (2011) - [j7]Jie Ni, Pavan K. Turaga, Vishal M. Patel, Rama Chellappa:
Example-Driven Manifold Priors for Image Deconvolution. IEEE Trans. Image Process. 20(11): 3086-3096 (2011) - [c15]Rama Chellappa, Pavan K. Turaga:
Recent advances in age and height estimation from still images and video. FG 2011: 91-96 - [c14]Sima Taheri, Pavan K. Turaga, Rama Chellappa:
Towards view-invariant expression analysis using analytic shape manifolds. FG 2011: 306-313 - [c13]Zhengwu Zhang, Eric Klassen, Anuj Srivastava, Pavan K. Turaga, Rama Chellappa:
Blurring-invariant Riemannian metrics for comparing signals and images. ICCV 2011: 1770-1775 - [c12]Nitesh Shroff, Pavan K. Turaga, Rama Chellappa:
Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds. NIPS 2011: 154-162 - [p4]Rama Chellappa, Ming Du, Pavan K. Turaga, Shaohua Kevin Zhou:
Face Tracking and Recognition in Video. Handbook of Face Recognition 2011: 323-351 - 2010
- [j6]Pavan K. Turaga, Rama Chellappa, Ashok Veeraraghavan:
Advances in Video-Based Human Activity Analysis: Challenges and Approaches. Adv. Comput. 80: 237-290 (2010) - [j5]Nitesh Shroff, Pavan K. Turaga, Rama Chellappa:
Video Précis: Highlighting Diverse Aspects of Videos. IEEE Trans. Multim. 12(8): 853-868 (2010) - [c11]Tanveer Fathima Syeda-Mahmood, Pavan K. Turaga, David Beymer, Fei Wang, Arnon Amir, Hayit Greenspan, Kilian M. Pohl:
Shape-based similarity retrieval of Doppler images for clinical decision support. CVPR 2010: 855-862 - [c10]Nitesh Shroff, Pavan K. Turaga, Rama Chellappa:
Moving vistas: Exploiting motion for describing scenes. CVPR 2010: 1911-1918 - [c9]Aswin C. Sankaranarayanan, Pavan K. Turaga, Richard G. Baraniuk, Rama Chellappa:
Compressive Acquisition of Dynamic Scenes. ECCV (1) 2010: 129-142 - [c8]Raghuraman Gopalan, Pavan K. Turaga, Rama Chellappa:
Articulation-Invariant Representation of Non-planar Shapes. ECCV (3) 2010: 286-299 - [c7]Pavan K. Turaga, Soma Biswas, Rama Chellappa:
The role of geometry in age estimation. ICASSP 2010: 946-949 - [c6]Pavan K. Turaga, Rama Chellappa:
Nearest-neighbor search algorithms on non-Euclidean manifolds for computer vision applications. ICVGIP 2010: 282-289 - [p3]Pavan K. Turaga, Ashok Veeraraghavan, Anuj Srivastava, Rama Chellappa:
Statistical Analysis on Manifolds and Its Applications to Video Analysis. Video Search and Mining 2010: 115-144 - [p2]Massimiliano Albanese, Pavan K. Turaga, Rama Chellappa, Andrea Pugliese, V. S. Subrahmanian:
Semantic Video Content Analysis. Video Search and Mining 2010: 147-176
2000 – 2009
- 2009
- [b1]Pavan K. Turaga:
Statistical and Geometric Modeling of Spatio-Temporal Patterns for Video Understanding. University of Maryland, College Park, MD, USA, 2009 - [j4]Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellappa:
Unsupervised view and rate invariant clustering of video sequences. Comput. Vis. Image Underst. 113(3): 353-371 (2009) - [j3]Aswin C. Sankaranarayanan, Robert Patro, Pavan K. Turaga, Amitabh Varshney, Rama Chellappa:
Modeling and Visualization of Human Activities for Multicamera Networks. EURASIP J. Image Video Process. 2009 (2009) - [j2]Rama Chellappa, Aswin C. Sankaranarayanan, Ashok Veeraraghavan, Pavan K. Turaga:
Statistical Methods and Models for Video-Based Tracking, Modeling, and Recognition. Found. Trends Signal Process. 3(1-2): 1-151 (2009) - [c5]Pavan K. Turaga, Rama Chellappa:
Locally time-invariant models of human activities using trajectories on the grassmannian. CVPR 2009: 2435-2441 - [p1]Rama Chellappa, Manuele Bicego, Pavan K. Turaga:
Video-Based Face Recognition Algorithms. Handbook of Remote Biometrics 2009: 193-216 - 2008
- [j1]Pavan K. Turaga, Rama Chellappa, V. S. Subrahmanian, Octavian Udrea:
Machine Recognition of Human Activities: A Survey. IEEE Trans. Circuits Syst. Video Technol. 18(11): 1473-1488 (2008) - [c4]Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellappa:
Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision. CVPR 2008 - [c3]Pavan K. Turaga, Rama Chellappa:
Learning action dictionaries from video. ICIP 2008: 1704-1707 - [c2]Umut Akdemir, Pavan K. Turaga, Rama Chellappa:
An ontology based approach for activity recognition from video. ACM Multimedia 2008: 709-712 - 2007
- [c1]Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellappa:
From Videos to Verbs: Mining Videos for Activities using a Cascade of Dynamical Systems. CVPR 2007
Coauthor Index
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