Turaga, Pavan K.

31 publications

NeurIPSW 2024 A Cognitive Framework for Learning Debiased and Interpretable Representations via Debiasing Global Workspace Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic

NeurIPSW 2024 Debiasing Global Workspace: A Cognitive Neural Framework for Learning Debiased and Interpretable Representations Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic

ICMLW 2024 Leveraging Topological Guidance for Improved Knowledge Distillation Eun Som Jeon, Rahul Khurana, Aishani Pathak, Pavan K. Turaga

ICMLW 2023 Adapting Blackbox Generative Models via Inversion Sinjini Mitra, Rakshith Subramanyam, Rushil Anirudh, Jayaraman J. Thiagarajan, Ankita Shukla, Pavan K. Turaga

CVPRW 2023 Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments Rajhans Singh, Ankita Shukla, Pavan K. Turaga

ICLRW 2023 Latent Sequence Generation of Steered Molecular Dynamics John Kevin Cava, Ankita Shukla, John Wyatt Vant, Shubhra Kanti Karmaker, Pavan K. Turaga, Ross Maciejewski, Abhishek Singharoy

CVPRW 2023 Scene Graph Driven Text-Prompt Generation for Image Inpainting Tripti Shukla, Paridhi Maheshwari, Rajhans Singh, Ankita Shukla, Kuldeep Kulkarni, Pavan K. Turaga

ICML 2023 Target-Aware Generative Augmentations for Single-Shot Adaptation Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan

NeurIPSW 2021 Multi-Domain Ensembles for Domain Generalization Kowshik Thopalli, Sameeksha Katoch, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias

NeurIPSW 2021 Re-Labeling Domains Improves Multi-Domain Generalization Kowshik Thopalli, Pavan K. Turaga, Jayaraman J. Thiagarajan

CVPRW 2020 AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification Hongjun Choi, Anirudh Som, Pavan K. Turaga

CVPRW 2020 PI-Net: A Deep Learning Approach to Extract Topological Persistence Images Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga

CVPRW 2018 Predicting Dynamical Evolution of Human Activities from a Single Image Suhas Lohit, Ankan Bansal, Nitesh Shroff, Jaishanker K. Pillai, Pavan K. Turaga, Rama Chellappa

CVPRW 2018 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

CVPRW 2017 Compressive Light Field Reconstructions Using Deep Learning Mayank Gupta, Arjun Jauhari, Kuldeep Kulkarni, Suren Jayasuriya, Alyosha C. Molnar, Pavan K. Turaga

ICCVW 2017 Learning Invariant Riemannian Geometric Representations Using Deep Nets Suhas Lohit, Pavan K. Turaga

CVPRW 2017 Measuring Glide-Reflection Symmetry in Human Movements Using Elastic Shape Analysis Qiao Wang, Chaitanya Potaraju, Pavan K. Turaga

CVPRW 2016 A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams Rushil Anirudh, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga

CVPRW 2016 Riemannian Geometric Approaches for Measuring Movement Quality Anirudh Som, Rushil Anirudh, Qiao Wang, Pavan K. Turaga

CVPRW 2015 Reconstruction-Free Inference on Compressive Measurements Suhas Lohit, Kuldeep Kulkarni, Pavan K. Turaga, Jian Wang, Aswin C. Sankaranarayanan

WACV 2014 Interactively Test Driving an Object Detector: Estimating Performance on Unlabeled Data Rushil Anirudh, Pavan K. Turaga

CVPRW 2013 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

ECCV 2012 Domain Adaptive Dictionary Learning Qiang Qiu, Vishal M. Patel, Pavan K. Turaga, Rama Chellappa

ICCV 2011 Blurring-Invariant Riemannian Metrics for Comparing Signals and Images Zhengwu Zhang, Eric Klassen, Anuj Srivastava, Pavan K. Turaga, Rama Chellappa

ECCV 2010 Articulation-Invariant Representation of Non-Planar Shapes Raghuraman Gopalan, Pavan K. Turaga, Rama Chellappa

ECCV 2010 Compressive Acquisition of Dynamic Scenes Aswin C. Sankaranarayanan, Pavan K. Turaga, Richard G. Baraniuk, Rama Chellappa

CVPR 2010 Moving Vistas: Exploiting Motion for Describing Scenes Nitesh Shroff, Pavan K. Turaga, Rama Chellappa

CVPR 2010 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

CVPR 2009 Locally Time-Invariant Models of Human Activities Using Trajectories on the Grassmannian Pavan K. Turaga, Rama Chellappa

CVPR 2008 Statistical Analysis on Stiefel and Grassmann Manifolds with Applications in Computer Vision Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellappa

CVPR 2007 From Videos to Verbs: Mining Videos for Activities Using a Cascade of Dynamical Systems Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellappa