Pavan K. Turaga

200 papers A* 13A 7B 12C 2Misc 12Journal 104Unranked 40

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset. CoRR Ebrahim Farahmand, Reza Rahimi Azghan, Nooshin Taheri-Chatrudi, Eric Kim, Gautham Krishna Gudur, Edison Thomaz, Giulia Pedrielli, Pavan K. Turaga, Hassan Ghasemzadeh
2025	—	`conf`	Automatic Temporal Segmentation for Post-Stroke Rehabilitation: A Keypoint Detection and Temporal Segmentation Approach for Small Datasets. WACV (Workshops) Jisoo Lee, Tamim Ahmed, Thanassis Rikakis, Pavan K. Turaga
2025	J	`jnl`	Automatic Temporal Segmentation for Post-Stroke Rehabilitation: A Keypoint Detection and Temporal Segmentation Approach for Small Datasets. CoRR Jisoo Lee, Tamim Ahmed, Thanassis Rikakis, Pavan K. Turaga
2025	J	`jnl`	CLAD-Net: Continual Activity Recognition in Multi-Sensor Wearable Systems. CoRR Reza Rahimi Azghan, Gautham Krishna Gudur, Mohit Malu, Edison Thomaz, Giulia Pedrielli, Pavan K. Turaga, Hassan Ghasemzadeh
2025	—	`conf`	Debiasing Global Workspace: A Cognitive Neural Framework for Learning Debiased and Interpretable Representations. UniReps Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic
2025	J	`jnl`	DecompDreamer: Advancing Structured 3D Asset Generation with Multi-Object Decomposition and Gaussian Splatting. CoRR Utkarsh Nath, Rajeev Goel, Rahul Khurana, Kyle Min, Mark Ollila, Pavan K. Turaga, Varun Jampani, Tejaswi Gowda
2025	A	`conf`	Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation. WACV Utkarsh Nath, Rajeev Goel, Eun Som Jeon, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan K. Turaga
2025	J	`jnl`	GluMind: Multimodal Parallel Attention and Knowledge Retention for Robust Cross-Population Blood Glucose Forecasting. CoRR Ebrahim Farahmand, Reza Rahimi Azghan, Nooshin Taheri-Chatrudi, Velarie Yaa Ansu-Baidoo, Eric Kim, Gautham Krishna Gudur, Mohit Malu, Owen Krueger, Edison Thomaz, Giulia Pedrielli, Pavan K. Turaga, Hassan Ghasemzadeh
2025	J	`jnl`	Graph Network Modeling Techniques for Visualizing Human Mobility Patterns. CoRR Sinjini Mitra, Anuj Srivastava, Avipsa Roy, Pavan K. Turaga
2025	J	`jnl`	Ground Reaction Force Estimation via Time-Aware Knowledge Distillation. IEEE Internet Things J. Eun Som Jeon, Sinjini Mitra, Jisoo Lee, Omik M. Save, Ankita Shukla, Hyunglae Lee, Pavan K. Turaga
2025	J	`jnl`	Ground Reaction Force Estimation via Time-aware Knowledge Distillation. CoRR Eun Som Jeon, Sinjini Mitra, Jisoo Lee, Omik M. Save, Ankita Shukla, Hyunglae Lee, Pavan K. Turaga
2025	J	`jnl`	Guiding Diffusion with Deep Geometric Moments: Balancing Fidelity and Variation. CoRR Sangmin Jung, Utkarsh Nath, Yezhou Yang, Giulia Pedrielli, Joydeep Biswas, Amy Zhang, Hassan Ghasemzadeh, Pavan K. Turaga
2025	J	`jnl`	Intra-class Patch Swap for Self-Distillation. CoRR Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan K. Turaga
2025	J	`jnl`	Intra-class patch swap for self-distillation. Neurocomputing Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan K. Turaga
2025	J	`jnl`	Polynomial Implicit Neural Framework for Promoting Shape Awareness in Generative Models. Int. J. Comput. Vis. Utkarsh Nath, Rajhans Singh, Ankita Shukla, Kuldeep Kulkarni, Pavan K. Turaga
2025	J	`jnl`	Role of Mixup in Topological Persistence Based Knowledge Distillation for Wearable Sensor Data. CoRR Eun Som Jeon, Hongjun Choi, Matthew P. Buman, Pavan K. Turaga
2025	J	`jnl`	The Perceptual Observatory Characterizing Robustness and Grounding in MLLMs. CoRR Tejas Anvekar, Fenil Denish Bardoliya, Pavan K. Turaga, Chitta Baral, Vivek Gupta
2024	J	`jnl`	Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation. CoRR Utkarsh Nath, Rajeev Goel, Eun Som Jeon, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan K. Turaga
2024	J	`jnl`	Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks. CoRR Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic
2024	—	`conf`	Learning Geometry of Pose Image Manifolds in Latent Spaces Using Geometry-Preserving GANs. ICPR (27) Shenyuan Liang, Benjamin Beaudett, Pavan K. Turaga, Saket Anand, Anuj Srivastava
2024	J	`jnl`	Leveraging Topological Guidance for Improved Knowledge Distillation. CoRR Eun Som Jeon, Rahul Khurana, Aishani Pathak, Pavan K. Turaga
2024	—	`conf`	On the impact of pre-training datasets for matching dendritic identifiers using residual nets. AI-SIPM Baaz Jhaj, Ankita Shukla, Pavan K. Turaga, Michael N. Kozicki
2024	J	`jnl`	Orthogonality and graph divergence losses promote disentanglement in generative models. Frontiers Comput. Sci. Ankita Shukla, Rishi Dadhich, Rajhans Singh, Anirudh Rayas, Pouria Saidi, Gautam Dasarathy, Visar Berisha, Pavan K. Turaga
2024	J	`jnl`	RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation. Int. J. Comput. Vis. Utkarsh Nath, Yancheng Wang, Pavan K. Turaga, Yingzhen Yang
2024	J	`jnl`	Robustness of topological persistence in knowledge distillation for wearable sensor data. EPJ Data Sci. Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Hyunglae Lee, Pavan K. Turaga
2024	J	`jnl`	Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data. CoRR Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga
2024	J	`jnl`	Topological persistence guided knowledge distillation for wearable sensor data. Eng. Appl. Artif. Intell. Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga
2024	J	`jnl`	Uncertainty-Aware Topological Persistence Guided Knowledge Distillation on Wearable Sensor Data. IEEE Internet Things J. Eun Som Jeon, Matthew P. Buman, Pavan K. Turaga
2023	J	`jnl`	Best Paper Section IEEE International Conference on Automatic Face and Gesture Recognition 2021. IEEE Trans. Biom. Behav. Identity Sci. Rachael E. Jack, Vishal M. Patel, Pavan K. Turaga, Mayank Vatsa, Rama Chellappa, Alex Pentland, Richa Singh
2023	J	`jnl`	Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data. IEEE Trans. Instrum. Meas. Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga
2023	—	`conf`	Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments. CVPR Workshops Rajhans Singh, Ankita Shukla, Pavan K. Turaga
2023	J	`jnl`	Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae. CoRR Shenyuan Liang, Pavan K. Turaga, Anuj Srivastava
2023	J	`jnl`	Leveraging Angular Distributions for Improved Knowledge Distillation. CoRR Eun Som Jeon, Hongjun Choi, Ankita Shukla, Pavan K. Turaga
2023	J	`jnl`	Leveraging angular distributions for improved knowledge distillation. Neurocomputing Eun Som Jeon, Hongjun Choi, Ankita Shukla, Pavan K. Turaga
2023	A*	`conf`	Polynomial Implicit Neural Representations For Large Diverse Datasets. CVPR Rajhans Singh, Ankita Shukla, Pavan K. Turaga
2023	J	`jnl`	Polynomial Implicit Neural Representations For Large Diverse Datasets. CoRR Rajhans Singh, Ankita Shukla, Pavan K. Turaga
2023	Misc	`conf`	Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks. ICASSP Eun Som Jeon, Suhas Lohit, Rushil Anirudh, Pavan K. Turaga
2023	—	`conf`	Scene Graph Driven Text-Prompt Generation for Image Inpainting. CVPR Workshops Tripti Shukla, Paridhi Maheshwari, Rajhans Singh, Ankita Shukla, Kuldeep Kulkarni, Pavan K. Turaga
2023	Misc	`conf`	Single-Shot Domain Adaptation via Target-Aware Generative Augmentations. ICASSP Rakshith Subramanyam, Kowshik Thopalli, Spring Berman, Pavan K. Turaga, Jayaraman J. Thiagarajan
2023	A*	`conf`	Target-Aware Generative Augmentations for Single-Shot Adaptation. ICML Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan
2023	J	`jnl`	Target-Aware Generative Augmentations for Single-Shot Adaptation. CoRR Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan
2023	J	`jnl`	The Surprising Effectiveness of Deep Orthogonal Procrustes Alignment in Unsupervised Domain Adaptation. IEEE Access Kowshik Thopalli, Rushil Anirudh, Pavan K. Turaga, Jayaraman J. Thiagarajan
2023	A	`conf`	Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study. WACV Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan K. Turaga
2022	J	`jnl`	Deep Geometric Moment. CoRR Rajhans Singh, Ankita Shukla, Pavan K. Turaga
2022	C	`conf`	Domain Alignment Meets Fully Test-Time Adaptation. ACML Kowshik Thopalli, Pavan K. Turaga, Jayaraman J. Thiagarajan
2022	J	`jnl`	Domain Alignment Meets Fully Test-Time Adaptation. CoRR Kowshik Thopalli, Pavan K. Turaga, Jayaraman J. Thiagarajan
2022	J	`jnl`	Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation. CoRR Kowshik Thopalli, Jayaraman J. Thiagarajan, Rushil Anirudh, Pavan K. Turaga
2022	J	`jnl`	Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data. CoRR Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan K. Turaga
2022	J	`jnl`	Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data. IEEE Internet Things J. Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan K. Turaga
2022	J	`jnl`	Single-Shot Domain Adaptation via Target-Aware Generative Augmentation. CoRR Rakshith Subramanyam, Kowshik Thopalli, Spring Berman, Pavan K. Turaga, Jayaraman J. Thiagarajan
2022	—	`conf`	Topological Knowledge Distillation for Wearable Sensor Data. IEEECONF Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga
2022	J	`jnl`	Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study. CoRR Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan K. Turaga
2021	J	`jnl`	Digital medicine and the curse of dimensionality. npj Digit. Medicine Visar Berisha, Chelsea Krantsevich, P. Richard Hahn, Shira Hahn, Gautam Dasarathy, Pavan K. Turaga, Julie Liss
2021	A	`conf`	Generative Patch Priors for Practical Compressive Image Recovery. WACV Rushil Anirudh, Suhas Lohit, Pavan K. Turaga
2021	J	`jnl`	Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion. CoRR Ankita Shukla, Rushil Anirudh, Eugene Kur, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Brian K. Spears, Tammy Ma, Pavan K. Turaga
2021	J	`jnl`	Improving Multi-Domain Generalization through Domain Re-labeling. CoRR Kowshik Thopalli, Sameeksha Katoch, Andreas Spanias, Pavan K. Turaga, Jayaraman J. Thiagarajan
2021	J	`jnl`	Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint. CoRR Ella Y. Wang, Anirudh Som, Ankita Shukla, Hongjun Choi, Pavan K. Turaga
2021	A	`conf`	Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization. WACV Suhas Lohit, Rushil Anirudh, Pavan K. Turaga
2021	J	`jnl`	Towards Conditional Generation of Minimal Action Potential Pathways for Molecular Dynamics. CoRR John Kevin Cava, John W. Vant, Nicholas Ho, Ankita Shulka, Pavan K. Turaga, Ross Maciejewski, Abhishek Singharoy
2020	J	`jnl`	A Framework for Interpretable Full-Body Kinematic Description Using Geometric and Functional Analysis. IEEE Trans. Biomed. Eng. Boulbaba Ben Amor, Anuj Srivastava, Pavan K. Turaga, Grisha Coleman
2020	—	`conf`	AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification. CVPR Workshops Hongjun Choi, Anirudh Som, Pavan K. Turaga
2020	J	`jnl`	AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification. CoRR Hongjun Choi, Anirudh Som, Pavan K. Turaga
2020	—	`conf`	Design of the Future Workstation: Enhancing Health and Wellbeing on the Job. AHFE (13) Dosun Shin, Matthew P. Buman, Pavan K. Turaga, Assegid Kidané, Todd Ingalls
2020	J	`jnl`	Generative Patch Priors for Practical Compressive Image Recovery. CoRR Rushil Anirudh, Suhas Lohit, Pavan K. Turaga
2020	J	`jnl`	GraCIAS: Grassmannian of Corrupted Images for Adversarial Security. CoRR Ankita Shukla, Pavan K. Turaga, Saket Anand
2020	J	`jnl`	Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships. CoRR Kuldeep Kulkarni, Tejas Gokhale, Rajhans Singh, Pavan K. Turaga, Aswin C. Sankaranarayanan
2020	—	`book`	Machine Learning for Solar Array Monitoring, Optimization, and Control Sunil Rao, Sameeksha Katoch, Vivek Sivaraman Narayanaswamy, Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias, Pavan K. Turaga, Raja Ayyanar, Devarajan Srinivasan
2020	—	`conf`	New Investment of Innovative Design of the Future Workstation: Advancing Sedentary Work Behavior. IHIET (Paris) Dosun Shin, Matthew P. Buman, Pavan K. Turaga, Assegid Kidané, Todd Ingalls
2020	—	`conf`	PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. CVPR Workshops Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga
2020	Misc	`conf`	Rate-Invariant Autoencoding of Time-Series. ICASSP Kaushik Koneripalli, Suhas Lohit, Rushil Anirudh, Pavan K. Turaga
2020	J	`jnl`	Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization. CoRR Suhas Lohit, Rushil Anirudh, Pavan K. Turaga
2020	J	`jnl`	Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification. CoRR Hongjun Choi, Anirudh Som, Pavan K. Turaga
2020	—	`conf`	Topological Descriptors for Parkinson's Disease Classification and Regression Analysis. EMBC Afra Nawar, Farhan Rahman, Narayanan Krishnamurthi, Anirudh Som, Pavan K. Turaga
2020	J	`jnl`	Topological Descriptors for Parkinson's Disease Classification and Regression Analysis. CoRR Afra Nawar, Farhan Rahman, Narayanan Krishnamurthi, Anirudh Som, Pavan K. Turaga
2020	—	`conf`	Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns. EMBC Anirudh Som, Narayanan Krishnamurthi, Matthew P. Buman, Pavan K. Turaga
2020	J	`jnl`	Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns. CoRR Anirudh Som, Narayanan Krishnamurthi, Matthew P. Buman, Pavan K. Turaga
2019	Misc	`conf`	Adaptive Video Subsampling For Energy-Efficient Object Detection. ACSSC Divya Mohan, Sameeksha Katoch, Suren Jayasuriya, Pavan K. Turaga, Andreas Spanias
2019	J	`jnl`	An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation. Int. J. Biomed. Imaging Berkay Kanberoglu, Dhritiman Das, Priya Nair, Pavan K. Turaga, David H. Frakes
2019	C	`conf`	An REU Experience in Machine Learning and Computational Cameras. FIE Divya Mohan, Sameeksha Katoch, Suren Jayasuriya, Pavan K. Turaga, Andreas Spanias
2019	—	`conf`	Formation-aware Cloud Segmentation of Ground-based Images with Applications to PV Systems. IISA Juan Andrade, Sameeksha Katoch, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu, Kristen Jaskie
2019	J	`jnl`	Geometry of Deep Generative Models for Disentangled Representations. CoRR Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga
2019	J	`jnl`	Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning. CoRR Sameeksha Katoch, Kowshik Thopalli, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias
2019	Misc	`conf`	Multiple Subspace Alignment Improves Domain Adaptation. ICASSP Kowshik Thopalli, Rushil Anirudh, Jayaraman J. Thiagarajan, Pavan K. Turaga
2019	A*	`conf`	Non-Parametric Priors For Generative Adversarial Networks. ICML Rajhans Singh, Pavan K. Turaga, Suren Jayasuriya, Ravi Garg, Martin W. Braun
2019	J	`jnl`	Non-Parametric Priors For Generative Adversarial Networks. CoRR Rajhans Singh, Pavan K. Turaga, Suren Jayasuriya, Ravi Garg, Martin W. Braun
2019	J	`jnl`	PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. CoRR Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga
2019	A	`conf`	PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. BMVC Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga
2019	J	`jnl`	Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. CoRR Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga
2019	Misc	`conf`	Rank-Regularized Measurement Operators for Compressive Imaging. ACSSC Suhas Lohit, Rajhans Singh, Kuldeep Kulkarni, Pavan K. Turaga
2019	—	`book`	Reconstruction-Free Compressive Vision for Surveillance Applications Henry Braun, Pavan K. Turaga, Andreas Spanias, Sameeksha Katoch, Suren Jayasuriya, Cihan Tepedelenlioglu
2019	J	`jnl`	SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation. CoRR Kowshik Thopalli, Jayaraman J. Thiagarajan, Rushil Anirudh, Pavan K. Turaga
2019	B	`conf`	Spatially-Varying Sharpness Map Estimation Based on the Quotient of Spectral Bands. ICIP Juan Andrade, Pavan K. Turaga, Andreas Spanias
2019	A*	`conf`	Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping. CVPR Suhas Lohit, Qiao Wang, Pavan K. Turaga
2019	J	`jnl`	Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping. CoRR Suhas Lohit, Qiao Wang, Pavan K. Turaga
2018	J	`jnl`	An Optical Flow-Based Approach for Minimally-Divergent Velocimetry Data Interpolation. CoRR Berkay Kanberoglu, Dhritiman Das, Priya Nair, Pavan K. Turaga, David H. Frakes
2018	B	`conf`	CS-VQA: Visual Question Answering with Compressively Sensed Images. ICIP Li-Chi Huang, Kuldeep Kulkarni, Anik Jha, Suhas Lohit, Suren Jayasuriya, Pavan K. Turaga
2018	J	`jnl`	CS-VQA: Visual Question Answering with Compressively Sensed Images. CoRR Li-Chi Huang, Kuldeep Kulkarni, Anik Jha, Suhas Lohit, Suren Jayasuriya, Pavan K. Turaga
2018	J	`jnl`	Compressive Light Field Reconstructions using Deep Learning. CoRR Mayank Gupta, Arjun Jauhari, Kuldeep Kulkarni, Suren Jayasuriya, Alyosha C. Molnar, Pavan K. Turaga
2018	J	`jnl`	Convolutional Neural Networks for Noniterative Reconstruction of Compressively Sensed Images. IEEE Trans. Computational Imaging Suhas Lohit, Kuldeep Kulkarni, Ronan Kerviche, Pavan K. Turaga, Amit Ashok
2018	B	`conf`	Fast Non-Linear Methods for Dynamic Texture Prediction. ICIP Sameeksha Katoch, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu
2018	—	`conf`	Geometry of Deep Generative Models for Disentangled Representations. ICVGIP Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga
2018	J	`jnl`	Introduction to the Special Issue on Representation, Analysis, and Recognition of 3D Humans. ACM Trans. Multim. Comput. Commun. Appl. Stefano Berretti, Mohamed Daoudi, Pavan K. Turaga, Anup Basu
2018	J	`jnl`	Multiple Subspace Alignment Improves Domain Adaptation. CoRR Kowshik Thopalli, Rushil Anirudh, Jayaraman J. Thiagarajan, Pavan K. Turaga
2018	—	`conf`	Perturbation Robust Representations of Topological Persistence Diagrams. ECCV (7) Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga
2018	J	`jnl`	Perturbation Robust Representations of Topological Persistence Diagrams. CoRR Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga
2018	—	`conf`	Predicting Dynamical Evolution of Human Activities From a Single Image. CVPR Workshops Suhas Lohit, Ankan Bansal, Nitesh Shroff, Jaishanker K. Pillai, Pavan K. Turaga, Rama Chellappa
2018	J	`jnl`	Rate-Adaptive Neural Networks for Spatial Multiplexers. CoRR Suhas Lohit, Rajhans Singh, Kuldeep Kulkarni, Pavan K. Turaga
2018	J	`jnl`	Representation, Analysis, and Recognition of 3D Humans: A Survey. ACM Trans. Multim. Comput. Commun. Appl. Stefano Berretti, Mohamed Daoudi, Pavan K. Turaga, Anup Basu
2018	—	`conf`	Shading prediction, fault detection, and consensus estimation for solar array control. ICPS Sameeksha Katoch, Gowtham Muniraju, Sunil Rao, Andreas Spanias, Pavan K. Turaga, Cihan Tepedelenlioglu, Mahesh K. Banavar, Devarajan Srinivasan
2018	—	`conf`	Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition With Accelerometer Data. CVPR Workshops Hongjun Choi, Qiao Wang, Meynard John Toledo, Pavan K. Turaga, Matthew P. Buman, Anuj Srivastava
2018	B	`conf`	Tracking, Animating, and 3D Printing Elements of the Fine Arts Freehand Drawing Process. TEI Piyum Fernando, Jennifer Weiler, Stacey Kuznetsov, Pavan K. Turaga
2017	J	`jnl`	A Cyber-Physical Photovoltaic Array Monitoring and Control System. Int. J. Monit. Surveillance Technol. Res. Gowtham Muniraju, Sunil Rao, Sameeksha Katoch, Andreas Spanias, Cihan Tepedelenlioglu, Pavan K. Turaga, Mahesh K. Banavar, Devarajan Srinivasan
2017	—	`conf`	A cyber-physical system approach for photovoltaic array monitoring and control. IISA 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
2017	—	`conf`	Compressive Light Field Reconstructions Using Deep Learning. CVPR Workshops Mayank Gupta, Arjun Jauhari, Kuldeep Kulkarni, Suren Jayasuriya, Alyosha C. Molnar, Pavan K. Turaga
2017	J	`jnl`	Convolutional Neural Networks for Non-iterative Reconstruction of Compressively Sensed Images. CoRR Suhas Lohit, Kuldeep Kulkarni, Ronan Kerviche, Pavan K. Turaga, Amit Ashok
2017	J	`jnl`	Elastic Functional Coding of Riemannian Trajectories. IEEE Trans. Pattern Anal. Mach. Intell. Rushil Anirudh, Pavan K. Turaga, Jingyong Su, Anuj Srivastava
2017	—	`conf`	Learning Invariant Riemannian Geometric Representations Using Deep Nets. ICCV Workshops Suhas Lohit, Pavan K. Turaga
2017	J	`jnl`	Learning Invariant Riemannian Geometric Representations Using Deep Nets. CoRR Suhas Lohit, Pavan K. Turaga
2017	—	`conf`	Measuring Glide-Reflection Symmetry in Human Movements Using Elastic Shape Analysis. CVPR Workshops Qiao Wang, Chaitanya Potaraju, Pavan K. Turaga
2017	—	`conf`	Multiscale evolution of attractor-shape descriptors for assessing Parkinson's disease severity. GlobalSIP Anirudh Som, Narayanan Krishnamurthi, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga
2017	—	`ch.`	Optimization Problems Associated with Manifold-Valued Curves with Applications in Computer Vision. Handbook of Convex Optimization Methods in Imaging Science Rushil Anirudh, Pavan K. Turaga, Anuj Srivastava
2016	—	`conf`	A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams. CVPR Workshops Rushil Anirudh, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga
2016	J	`jnl`	A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams. CoRR Rushil Anirudh, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga
2016	—	`conf`	A statistical estimation framework for energy expenditure of physical activities from a wrist-worn accelerometer. EMBC Qiao Wang, Suhas Lohit, Meynard John Toledo, Matthew P. Buman, Pavan K. Turaga
2016	—	`conf`	Attractor-shape descriptors for balance impairment assessment in Parkinson's disease. EMBC Anirudh Som, Narayanan Krishnamurthi, Vinay Venkataraman, Pavan K. Turaga
2016	—	`conf`	Ceding Control: Empowering Remote Participants in Meetings involving Smart Conference Rooms. AAAI Workshop: Symbiotic Cognitive Systems Vinay Venkataraman, Jonathan Lenchner, Shari Trewin, Maryam Ashoori, Shang Guo, Mishal Dholakia, Pavan K. Turaga
2016	J	`jnl`	Component-Level Tuning of Kinematic Features From Composite Therapist Impressions of Movement Quality. IEEE J. Biomed. Health Informatics Vinay Venkataraman, Pavan K. Turaga, Michael Baran, Nicole Lehrer, Tingfang Du, Long Cheng, Thanassis Rikakis, Steven L. Wolf
2016	Misc	`conf`	Consensus inference on mobile phone sensors for activity recognition. ICASSP Huan Song, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias, Pavan K. Turaga
2016	Misc	`conf`	Direct classification from compressively sensed images via deep Boltzmann machine. ACSSC Henry Braun, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu
2016	B	`conf`	Direct inference on compressive measurements using convolutional neural networks. ICIP Suhas Lohit, Kuldeep Kulkarni, Pavan K. Turaga
2016	J	`jnl`	Diversity Promoting Online Sampling for Streaming Video Summarization. CoRR Rushil Anirudh, Ahnaf Masroor, Pavan K. Turaga
2016	B	`conf`	Diversity promoting online sampling for streaming video summarization. ICIP Rushil Anirudh, Ahnaf Masroor, Pavan K. Turaga
2016	J	`jnl`	Elastic Functional Coding of Riemannian Trajectories. CoRR Rushil Anirudh, Pavan K. Turaga, Jingyong Su, Anuj Srivastava
2016	J	`jnl`	Enhanced Compressive Imaging Using Model-Based Acquisition: Smarter sampling by incorporating domain knowledge. IEEE Signal Process. Mag. Aswin C. Sankaranarayanan, Matthew A. Herman, Pavan K. Turaga, Kevin F. Kelly
2016	J	`jnl`	Fast Integral Image Estimation at 1% measurement rate. CoRR Kuldeep Kulkarni, Pavan K. Turaga
2016	J	`jnl`	Geometry-Based Symbolic Approximation for Fast Sequence Matching on Manifolds. Int. J. Comput. Vis. Rushil Anirudh, Pavan K. Turaga
2016	—	`conf`	Motion, Captured: an Open Repository for Comparative Movement Studies. MOCO Varsha Iyengar, Grisha Coleman, David Tinapple, Pavan K. Turaga
2016	J	`jnl`	Persistent Homology of Attractors For Action Recognition. CoRR Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga
2016	B	`conf`	Persistent homology of attractors for action recognition. ICIP Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga
2016	A*	`conf`	ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements. CVPR Kuldeep Kulkarni, Suhas Lohit, Pavan K. Turaga, Ronan Kerviche, Amit Ashok
2016	J	`jnl`	ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements. CoRR Kuldeep Kulkarni, Suhas Lohit, Pavan K. Turaga, Ronan Kerviche, Amit Ashok
2016	J	`jnl`	Reconstruction-Free Action Inference from Compressive Imagers. IEEE Trans. Pattern Anal. Mach. Intell. Kuldeep Kulkarni, Pavan K. Turaga
2016	—	`conf`	Riemannian Geometric Approaches for Measuring Movement Quality. CVPR Workshops Anirudh Som, Rushil Anirudh, Qiao Wang, Pavan K. Turaga
2016	J	`jnl`	Shape Distributions of Nonlinear Dynamical Systems for Video-Based Inference. IEEE Trans. Pattern Anal. Mach. Intell. Vinay Venkataraman, Pavan K. Turaga
2016	J	`jnl`	Shape Distributions of Nonlinear Dynamical Systems for Video-based Inference. CoRR Vinay Venkataraman, Pavan K. Turaga
2015	J	`jnl`	Discriminative feature learning from big data for visual recognition. Pattern Recognit. Zhuolin Jiang, Zhe Lin, Haibin Ling, Fatih Porikli, Ling Shao, Pavan K. Turaga
2015	A	`conf`	Dynamical Regularity for Action Analysis. BMVC Vinay Venkataraman, Ioannis Vlachos, Pavan K. Turaga
2015	A*	`conf`	Elastic functional coding of human actions: From vector-fields to latent variables. CVPR Rushil Anirudh, Pavan K. Turaga, Jingyong Su, Anuj Srivastava
2015	B	`conf`	Geometric Compression of Orientation Signals for Fast Gesture Analysis. DCC Aswin Sivakumar, Rushil Anirudh, Pavan K. Turaga
2015	J	`jnl`	Reconstruction-free action inference from compressive imagers. CoRR Kuldeep Kulkarni, Pavan K. Turaga
2015	—	`conf`	Reconstruction-free inference on compressive measurements. CVPR Workshops Suhas Lohit, Kuldeep Kulkarni, Pavan K. Turaga, Jian Wang, Aswin C. Sankaranarayanan
2015	—	`conf`	Towards realtime measurement of connectedness in human movement. MOCO Michael Krzyzaniak, Rushil Anirudh, Vinay Venkataraman, Pavan K. Turaga, Sha Xin Wei
2014	—	`conf`	Decision support for stroke rehabilitation therapy via describable attribute-based decision trees. EMBC Vinay Venkataraman, Pavan K. Turaga, Nicole Lehrer, Michael Baran, Thanassis Rikakis, Steven L. Wolf
2014	J	`jnl`	Differential geometric representations and algorithms for some pattern recognition and computer vision problems. Pattern Recognit. Lett. Ruonan Li, Pavan K. Turaga, Anuj Srivastava, Rama Chellappa
2014	Misc	`conf`	Direct tracking from compressive imagers: A proof of concept. ICASSP Henry Braun, Pavan K. Turaga, Andreas Spanias
2014	—	`ch.`	Feature Selection. Computer Vision, A Reference Guide Rama Chellappa, Pavan K. Turaga
2014	J	`jnl`	Geometry-based Adaptive Symbolic Approximation for Fast Sequence Matching on Manifolds: Applications to Activity Analysis. CoRR Rushil Anirudh, Pavan K. Turaga
2014	—	`book`	Image Understanding Using Sparse Representations Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga, Andreas Spanias
2014	J	`jnl`	Interactively Test Driving an Object Detector: Estimating Performance on Unlabeled Data. CoRR Rushil Anirudh, Pavan K. Turaga
2014	A	`conf`	Interactively test driving an object detector: Estimating performance on unlabeled data. WACV Rushil Anirudh, Pavan K. Turaga
2014	—	`conf`	SomaTech: an exploratory interface for altering movement habits. CHI Extended Abstracts Qiao Wang, Pavan K. Turaga, Grisha Coleman, Todd Ingalls
2013	Misc	`conf`	A heterogeneous dictionary model for representation and recognition of human actions. ICASSP Rushil Anirudh, Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias
2013	—	`conf`	Attractor-Shape for Dynamical Analysis of Human Movement: Applications in Stroke Rehabilitation and Action Recognition. CVPR Workshops Vinay Venkataraman, Pavan K. Turaga, Nicole Lehrer, Michael Baran, Thanassis Rikakis, Steven L. Wolf
2013	J	`jnl`	Compressive Acquisition of Linear Dynamical Systems. SIAM J. Imaging Sci. Aswin C. Sankaranarayanan, Pavan K. Turaga, Rama Chellappa, Richard G. Baraniuk
2013	Misc	`conf`	Optical flow for compressive sensing video reconstruction. ICASSP Henry Braun, Pavan K. Turaga, Cihan Tepedelenlioglu, Andreas Spanias
2012	J	`jnl`	A Blur-Robust Descriptor with Applications to Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Raghuraman Gopalan, Sima Taheri, Pavan K. Turaga, Rama Chellappa
2012	J	`jnl`	Age Estimation and Face Verification Across Aging Using Landmarks. IEEE Trans. Inf. Forensics Secur. Tao Wu, Pavan K. Turaga, Rama Chellappa
2012	J	`jnl`	Compressive Acquisition of Dynamic Scenes CoRR Aswin C. Sankaranarayanan, Pavan K. Turaga, Rama Chellappa, Richard G. Baraniuk
2012	—	`conf`	Domain Adaptive Dictionary Learning. ECCV (4) Qiang Qiu, Vishal M. Patel, Pavan K. Turaga, Rama Chellappa
2012	J	`jnl`	On advances in differential-geometric approaches for 2D and 3D shape analyses and activity recognition. Image Vis. Comput. Anuj Srivastava, Pavan K. Turaga, Sebastian Kurtek
2012	B	`conf`	Recurrence textures for human activity recognition from compressive cameras. ICIP Kuldeep Kulkarni, Pavan K. Turaga
2011	J	`jnl`	Advances in Video-Based Biometrics. Adv. Comput. Rama Chellappa, Pavan K. Turaga
2011	A*	`conf`	Blurring-invariant Riemannian metrics for comparing signals and images. ICCV Zhengwu Zhang, Eric Klassen, Anuj Srivastava, Pavan K. Turaga, Rama Chellappa
2011	J	`jnl`	Example-Driven Manifold Priors for Image Deconvolution. IEEE Trans. Image Process. Jie Ni, Pavan K. Turaga, Vishal M. Patel, Rama Chellappa
2011	—	`ch.`	Face Tracking and Recognition in Video. Handbook of Face Recognition Rama Chellappa, Ming Du, Pavan K. Turaga, Shaohua Kevin Zhou
2011	—	`conf`	Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds. NIPS Nitesh Shroff, Pavan K. Turaga, Rama Chellappa
2011	B	`conf`	Recent advances in age and height estimation from still images and video. FG Rama Chellappa, Pavan K. Turaga
2011	J	`jnl`	Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Pavan K. Turaga, Ashok Veeraraghavan, Anuj Srivastava, Rama Chellappa
2011	B	`conf`	Towards view-invariant expression analysis using analytic shape manifolds. FG Sima Taheri, Pavan K. Turaga, Rama Chellappa
2010	J	`jnl`	Advances in Video-Based Human Activity Analysis: Challenges and Approaches. Adv. Comput. Pavan K. Turaga, Rama Chellappa, Ashok Veeraraghavan
2010	—	`conf`	Articulation-Invariant Representation of Non-planar Shapes. ECCV (3) Raghuraman Gopalan, Pavan K. Turaga, Rama Chellappa
2010	—	`conf`	Compressive Acquisition of Dynamic Scenes. ECCV (1) Aswin C. Sankaranarayanan, Pavan K. Turaga, Richard G. Baraniuk, Rama Chellappa
2010	A*	`conf`	Moving vistas: Exploiting motion for describing scenes. CVPR Nitesh Shroff, Pavan K. Turaga, Rama Chellappa
2010	—	`conf`	Nearest-neighbor search algorithms on non-Euclidean manifolds for computer vision applications. ICVGIP Pavan K. Turaga, Rama Chellappa
2010	—	`ch.`	Semantic Video Content Analysis. Video Search and Mining Massimiliano Albanese, Pavan K. Turaga, Rama Chellappa, Andrea Pugliese, V. S. Subrahmanian
2010	A*	`conf`	Shape-based similarity retrieval of Doppler images for clinical decision support. CVPR Tanveer Fathima Syeda-Mahmood, Pavan K. Turaga, David Beymer, Fei Wang, Arnon Amir, Hayit Greenspan, Kilian M. Pohl
2010	—	`ch.`	Statistical Analysis on Manifolds and Its Applications to Video Analysis. Video Search and Mining Pavan K. Turaga, Ashok Veeraraghavan, Anuj Srivastava, Rama Chellappa
2010	Misc	`conf`	The role of geometry in age estimation. ICASSP Pavan K. Turaga, Soma Biswas, Rama Chellappa
2010	J	`jnl`	Video Précis: Highlighting Diverse Aspects of Videos. IEEE Trans. Multim. Nitesh Shroff, Pavan K. Turaga, Rama Chellappa
2009	A*	`conf`	Locally time-invariant models of human activities using trajectories on the grassmannian. CVPR Pavan K. Turaga, Rama Chellappa
2009	J	`jnl`	Modeling and Visualization of Human Activities for Multicamera Networks. EURASIP J. Image Video Process. Aswin C. Sankaranarayanan, Robert Patro, Pavan K. Turaga, Amitabh Varshney, Rama Chellappa
2009	J	`jnl`	Statistical Methods and Models for Video-Based Tracking, Modeling, and Recognition. Found. Trends Signal Process. Rama Chellappa, Aswin C. Sankaranarayanan, Ashok Veeraraghavan, Pavan K. Turaga
2009	—	`—`	Statistical and Geometric Modeling of Spatio-Temporal Patterns for Video Understanding. Pavan K. Turaga
2009	J	`jnl`	Unsupervised view and rate invariant clustering of video sequences. Comput. Vis. Image Underst. Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellappa
2009	—	`ch.`	Video-Based Face Recognition Algorithms. Handbook of Remote Biometrics Rama Chellappa, Manuele Bicego, Pavan K. Turaga
2008	A*	`conf`	An ontology based approach for activity recognition from video. ACM Multimedia Umut Akdemir, Pavan K. Turaga, Rama Chellappa
2008	B	`conf`	Learning action dictionaries from video. ICIP Pavan K. Turaga, Rama Chellappa
2008	J	`jnl`	Machine Recognition of Human Activities: A Survey. IEEE Trans. Circuits Syst. Video Technol. Pavan K. Turaga, Rama Chellappa, V. S. Subrahmanian, Octavian Udrea
2008	A*	`conf`	Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision. CVPR Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellappa
2007	A*	`conf`	From Videos to Verbs: Mining Videos for Activities using a Cascade of Dynamical Systems. CVPR Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellappa