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Pavan Turaga

Arizona State University

Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint


Feb 02, 2021
Ella Y. Wang, Anirudh Som, Ankita Shukla, Hongjun Choi, Pavan Turaga


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Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization


Dec 03, 2020
Suhas Lohit, Rushil Anirudh, Pavan Turaga

* Accepted at WACV 2021 

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Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification


Sep 22, 2020
Hongjun Choi, Anirudh Som, Pavan Turaga

* 8 figures, 4 tables, 1 pseudo-code 

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Generative Patch Priors for Practical Compressive Image Recovery


Jun 18, 2020
Rushil Anirudh, Suhas Lohit, Pavan Turaga


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GraCIAS: Grassmannian of Corrupted Images for Adversarial Security


May 07, 2020
Ankita Shukla, Pavan Turaga, Saket Anand

* 16 pages 

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Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns


May 07, 2020
Anirudh Som, Narayanan Krishnamurthi, Matthew Buman, Pavan Turaga

* Accepted in the 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC 2020) 

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Topological Descriptors for Parkinson's Disease Classification and Regression Analysis


May 06, 2020
Afra Nawar, Farhan Rahman, Narayanan Krishnamurthi, Anirudh Som, Pavan Turaga

* Accepted in the 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC 2020) 

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AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification


Apr 21, 2020
Hongjun Choi, Anirudh Som, Pavan Turaga


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Halluci-Net: Scene Completion by Exploiting Object Co-occurrence Relationships


Apr 18, 2020
Kuldeep Kulkarni, Tejas Gokhale, Rajhans Singh, Pavan Turaga, Aswin Sankaranarayanan

* Image synthesis, GAN, Scene completion, Label maps 

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Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning


Nov 24, 2019
Sameeksha Katoch, Kowshik Thopalli, Jayaraman J. Thiagarajan, Pavan Turaga, Andreas Spanias

* Semantic structure development for tasks/domains essential for efficient knowledge transfer 

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Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning


Jul 22, 2019
Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan Turaga

* Accepted at British Machine Vision Conference (BMVC) 2019 

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Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping


Jun 13, 2019
Suhas Lohit, Qiao Wang, Pavan Turaga

* Published in CVPR 2019, Codes available at https://github.com/suhaslohit/TTN 

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SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation


Jun 11, 2019
Kowshik Thopalli, Jayaraman J. Thiagarajan, Rushil Anirudh, Pavan Turaga


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PI-Net: A Deep Learning Approach to Extract Topological Persistence Images


Jun 05, 2019
Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew Buman, Pavan Turaga

* 13 pages, 13 figures, 5 tables 

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Non-Parametric Priors For Generative Adversarial Networks


May 16, 2019
Rajhans Singh, Pavan Turaga, Suren Jayasuriya, Ravi Garg, Martin W. Braun

* International Conference on Machine Learning (2019) 

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Geometry of Deep Generative Models for Disentangled Representations


Feb 19, 2019
Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan Turaga

* Accepted at ICVGIP, 2018 

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An Optical Flow-Based Approach for Minimally-Divergent Velocimetry Data Interpolation


Dec 20, 2018
Berkay Kanberoglu, Dhritiman Das, Priya Nair, Pavan Turaga, David Frakes

* 24 pages, 10 figures, International Journal of Biomedical Imaging, accepted manuscript 

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Multiple Subspace Alignment Improves Domain Adaptation


Nov 11, 2018
Kowshik Thopalli, Rushil Anirudh, Jayaraman J. Thiagarajan, Pavan Turaga

* under review in ICASSP 2019 

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Rate-Adaptive Neural Networks for Spatial Multiplexers


Sep 08, 2018
Suhas Lohit, Rajhans Singh, Kuldeep Kulkarni, Pavan Turaga


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Perturbation Robust Representations of Topological Persistence Diagrams


Jul 26, 2018
Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan Turaga

* 19 pages, 4 figures, 6 tables 

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CS-VQA: Visual Question Answering with Compressively Sensed Images


Jun 08, 2018
Li-Chi Huang, Kuldeep Kulkarni, Anik Jha, Suhas Lohit, Suren Jayasuriya, Pavan Turaga

* 5 pages, 2 figures, accepted to ICIP 2018 

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Compressive Light Field Reconstructions using Deep Learning


Feb 05, 2018
Mayank Gupta, Arjun Jauhari, Kuldeep Kulkarni, Suren Jayasuriya, Alyosha Molnar, Pavan Turaga

* Published at CCD 2017 workshop held in conjunction with CVPR 2017 

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Learning Invariant Riemannian Geometric Representations Using Deep Nets


Sep 22, 2017
Suhas Lohit, Pavan Turaga

* Accepted at International Conference on Computer Vision Workshop (ICCVW), 2017 on Manifold Learning: from Euclid to Riemann 

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Convolutional Neural Networks for Non-iterative Reconstruction of Compressively Sensed Images


Aug 17, 2017
Suhas Lohit, Kuldeep Kulkarni, Ronan Kerviche, Pavan Turaga, Amit Ashok


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Diversity Promoting Online Sampling for Streaming Video Summarization


Oct 29, 2016
Rushil Anirudh, Ahnaf Masroor, Pavan Turaga

* Published at ICIP 2016 

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A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams


May 28, 2016
Rushil Anirudh, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan Turaga

* Accepted at DiffCVML 2016 (CVPR 2016 Workshops) 

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Persistent Homology of Attractors For Action Recognition


Mar 16, 2016
Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan Turaga

* 5 pages, Under review in International Conference on Image Processing 

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ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements


Mar 07, 2016
Kuldeep Kulkarni, Suhas Lohit, Pavan Turaga, Ronan Kerviche, Amit Ashok

* Accepted at IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016 

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Elastic Functional Coding of Riemannian Trajectories


Mar 07, 2016
Rushil Anirudh, Pavan Turaga, Jingyong Su, Anuj Srivastava

* Under major revision at IEEE T-PAMI, 2016 

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