| 2026 | WACV | The Perceptual Observatory Characterizing Robustness and Grounding in MLLMs. | Tejas Anvekar, Fenil Denish Bardoliya, Pavan K. Turaga, Chitta Baral, Vivek Gupta |
| 2025 | WACV | Automatic Temporal Segmentation for Post-Stroke Rehabilitation: A Keypoint Detection and Temporal Segmentation Approach for Small Datasets. | Jisoo Lee, Tamim Ahmed, Thanassis Rikakis, Pavan K. Turaga |
| 2025 | WACV | Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation. | Utkarsh Nath, Rajeev Goel, Eun Som Jeon, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan K. Turaga |
| 2024 | ICPR | Learning Geometry of Pose Image Manifolds in Latent Spaces Using Geometry-Preserving GANs. | Shenyuan Liang, Benjamin Beaudett, Pavan K. Turaga, Saket Anand, Anuj Srivastava |
| 2023 | CVPR | Scene Graph Driven Text-Prompt Generation for Image Inpainting. | Tripti Shukla, Paridhi Maheshwari, Rajhans Singh, Ankita Shukla, Kuldeep Kulkarni, Pavan K. Turaga |
| 2023 | CVPR | Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments. | Rajhans Singh, Ankita Shukla, Pavan K. Turaga |
| 2023 | CVPR | Polynomial Implicit Neural Representations For Large Diverse Datasets. | Rajhans Singh, Ankita Shukla, Pavan K. Turaga |
| 2023 | ICASSP | Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks. | Eun Som Jeon, Suhas Lohit, Rushil Anirudh, Pavan K. Turaga |
| 2023 | ICASSP | Single-Shot Domain Adaptation via Target-Aware Generative Augmentations. | Rakshith Subramanyam, Kowshik Thopalli, Spring Berman, Pavan K. Turaga, Jayaraman J. Thiagarajan |
| 2023 | ICML | Target-Aware Generative Augmentations for Single-Shot Adaptation. | Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan |
| 2023 | WACV | Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study. | Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan K. Turaga |
| 2022 | ACML | Domain Alignment Meets Fully Test-Time Adaptation. | Kowshik Thopalli, Pavan K. Turaga, Jayaraman J. Thiagarajan |
| 2022 | ACSSC | Topological Knowledge Distillation for Wearable Sensor Data. | Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga |
| 2021 | WACV | Generative Patch Priors for Practical Compressive Image Recovery. | Rushil Anirudh, Suhas Lohit, Pavan K. Turaga |
| 2021 | WACV | Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization. | Suhas Lohit, Rushil Anirudh, Pavan K. Turaga |
| 2020 | CVPR | AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification. | Hongjun Choi, Anirudh Som, Pavan K. Turaga |
| 2020 | CVPR | PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. | Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga |
| 2020 | ICASSP | Rate-Invariant Autoencoding of Time-Series. | Kaushik Koneripalli, Suhas Lohit, Rushil Anirudh, Pavan K. Turaga |
| 2019 | ACSSC | Rank-Regularized Measurement Operators for Compressive Imaging. | Suhas Lohit, Rajhans Singh, Kuldeep Kulkarni, Pavan K. Turaga |
| 2019 | ACSSC | Adaptive Video Subsampling For Energy-Efficient Object Detection. | Divya Mohan, Sameeksha Katoch, Suren Jayasuriya, Pavan K. Turaga, Andreas Spanias |
| 2019 | BMVC | PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. | Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga |
| 2019 | CVPR | Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping. | Suhas Lohit, Qiao Wang, Pavan K. Turaga |
| 2019 | FIE | An REU Experience in Machine Learning and Computational Cameras. | Divya Mohan, Sameeksha Katoch, Suren Jayasuriya, Pavan K. Turaga, Andreas Spanias |
| 2019 | ICASSP | Multiple Subspace Alignment Improves Domain Adaptation. | Kowshik Thopalli, Rushil Anirudh, Jayaraman J. Thiagarajan, Pavan K. Turaga |
| 2019 | ICIP | Spatially-Varying Sharpness Map Estimation Based on the Quotient of Spectral Bands. | Juan Andrade, Pavan K. Turaga, Andreas Spanias |
| 2019 | ICML | Non-Parametric Priors For Generative Adversarial Networks. | Rajhans Singh, Pavan K. Turaga, Suren Jayasuriya, Ravi Garg, Martin W. Braun |
| 2018 | CVPR | Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition With Accelerometer Data. | Hongjun Choi, Qiao Wang, Meynard John Toledo, Pavan K. Turaga, Matthew P. Buman, Anuj Srivastava |
| 2018 | CVPR | Predicting Dynamical Evolution of Human Activities From a Single Image. | Suhas Lohit, Ankan Bansal, Nitesh Shroff, Jaishanker K. Pillai, Pavan K. Turaga, Rama Chellappa |
| 2018 | ECCV | Perturbation Robust Representations of Topological Persistence Diagrams. | Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga |
| 2018 | ICIP | CS-VQA: Visual Question Answering with Compressively Sensed Images. | Li-Chi Huang, Kuldeep Kulkarni, Anik Jha, Suhas Lohit, Suren Jayasuriya, Pavan K. Turaga |
| 2018 | ICIP | Fast Non-Linear Methods for Dynamic Texture Prediction. | Sameeksha Katoch, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu |
| 2018 | TEI | Tracking, Animating, and 3D Printing Elements of the Fine Arts Freehand Drawing Process. | Piyum Fernando, Jennifer Weiler, Stacey Kuznetsov, Pavan K. Turaga |
| 2017 | CVPR | Compressive Light Field Reconstructions Using Deep Learning. | Mayank Gupta, Arjun Jauhari, Kuldeep Kulkarni, Suren Jayasuriya, Alyosha C. Molnar, Pavan K. Turaga |
| 2017 | CVPR | Measuring Glide-Reflection Symmetry in Human Movements Using Elastic Shape Analysis. | Qiao Wang, Chaitanya Potaraju, Pavan K. Turaga |
| 2016 | AAAI | Ceding Control: Empowering Remote Participants in Meetings involving Smart Conference Rooms. | Vinay Venkataraman, Jonathan Lenchner, Shari Trewin, Maryam Ashoori, Shang Guo, Mishal Dholakia, Pavan K. Turaga |
| 2016 | ACSSC | Direct classification from compressively sensed images via deep Boltzmann machine. | Henry Braun, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu |
| 2016 | CVPR | A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams. | Rushil Anirudh, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga |
| 2016 | CVPR | ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements. | Kuldeep Kulkarni, Suhas Lohit, Pavan K. Turaga, Ronan Kerviche, Amit Ashok |
| 2016 | CVPR | Riemannian Geometric Approaches for Measuring Movement Quality. | Anirudh Som, Rushil Anirudh, Qiao Wang, Pavan K. Turaga |
| 2016 | ICASSP | Consensus inference on mobile phone sensors for activity recognition. | Huan Song, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias, Pavan K. Turaga |
| 2016 | ICIP | Diversity promoting online sampling for streaming video summarization. | Rushil Anirudh, Ahnaf Masroor, Pavan K. Turaga |
| 2016 | ICIP | Direct inference on compressive measurements using convolutional neural networks. | Suhas Lohit, Kuldeep Kulkarni, Pavan K. Turaga |
| 2016 | ICIP | Persistent homology of attractors for action recognition. | Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga |
| 2015 | BMVC | Dynamical Regularity for Action Analysis. | Vinay Venkataraman, Ioannis Vlachos, Pavan K. Turaga |
| 2015 | CVPR | Elastic functional coding of human actions: From vector-fields to latent variables. | Rushil Anirudh, Pavan K. Turaga, Jingyong Su, Anuj Srivastava |
| 2015 | CVPR | Reconstruction-free inference on compressive measurements. | Suhas Lohit, Kuldeep Kulkarni, Pavan K. Turaga, Jian Wang, Aswin C. Sankaranarayanan |
| 2015 | DCC | Geometric Compression of Orientation Signals for Fast Gesture Analysis. | Aswin Sivakumar, Rushil Anirudh, Pavan K. Turaga |
| 2014 | CHI | SomaTech: an exploratory interface for altering movement habits. | Qiao Wang, Pavan K. Turaga, Grisha Coleman, Todd Ingalls |
| 2014 | ICASSP | Direct tracking from compressive imagers: A proof of concept. | Henry Braun, Pavan K. Turaga, Andreas Spanias |
| 2014 | WACV | Interactively test driving an object detector: Estimating performance on unlabeled data. | Rushil Anirudh, Pavan K. Turaga |
| 2013 | CVPR | Attractor-Shape for Dynamical Analysis of Human Movement: Applications in Stroke Rehabilitation and Action Recognition. | Vinay Venkataraman, Pavan K. Turaga, Nicole Lehrer, Michael Baran, Thanassis Rikakis, Steven L. Wolf |
| 2013 | ICASSP | A heterogeneous dictionary model for representation and recognition of human actions. | Rushil Anirudh, Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias |
| 2013 | ICASSP | Optical flow for compressive sensing video reconstruction. | Henry Braun, Pavan K. Turaga, Cihan Tepedelenlioglu, Andreas Spanias |
| 2012 | ECCV | Domain Adaptive Dictionary Learning. | Qiang Qiu, Vishal M. Patel, Pavan K. Turaga, Rama Chellappa |
| 2012 | ICIP | Recurrence textures for human activity recognition from compressive cameras. | Kuldeep Kulkarni, Pavan K. Turaga |
| 2011 | ICCV | Blurring-invariant Riemannian metrics for comparing signals and images. | Zhengwu Zhang, Eric Klassen, Anuj Srivastava, Pavan K. Turaga, Rama Chellappa |
| 2010 | CVPR | Moving vistas: Exploiting motion for describing scenes. | Nitesh Shroff, Pavan K. Turaga, Rama Chellappa |
| 2010 | CVPR | Shape-based similarity retrieval of Doppler images for clinical decision support. | Tanveer Fathima Syeda-Mahmood, Pavan K. Turaga, David Beymer, Fei Wang, Arnon Amir, Hayit Greenspan, Kilian M. Pohl |
| 2010 | ECCV | Articulation-Invariant Representation of Non-planar Shapes. | Raghuraman Gopalan, Pavan K. Turaga, Rama Chellappa |
| 2010 | ECCV | Compressive Acquisition of Dynamic Scenes. | Aswin C. Sankaranarayanan, Pavan K. Turaga, Richard G. Baraniuk, Rama Chellappa |
| 2010 | ICASSP | The role of geometry in age estimation. | Pavan K. Turaga, Soma Biswas, Rama Chellappa |
| 2009 | CVPR | Locally time-invariant models of human activities using trajectories on the grassmannian. | Pavan K. Turaga, Rama Chellappa |
| 2008 | CVPR | Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision. | Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellappa |
| 2008 | ICIP | Learning action dictionaries from video. | Pavan K. Turaga, Rama Chellappa |
| 2007 | CVPR | From Videos to Verbs: Mining Videos for Activities using a Cascade of Dynamical Systems. | Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellappa |