Pavan Turaga

Associate Professor

Arizona State University

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His research spans representational foundations for structured and unstructured imaging-data and applied aspects of aforesaid foundations in areas such as security and mobile-health (stroke rehab, preventive interventions etc.).

He received the National Science Foundation's CAREER award in 2015. He is a senior member of the IEEE since 2014. He was invited to participate in the Emerging Leaders in Multimedia workshop by IBM as a graduate student in 2008, and received a Distinguished Dissertation Award from UMD in 2009.

Papers136 papers

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

Choi Hongjun, Som Anirudh,Turaga Pavan

CVPR Workshops, pp.3659-3666, (2020)

EIBibtex

Machine Learning for Solar Array Monitoring, Optimization, and Control

Sunil Rao, Sameeksha Katoch, Vivek Narayanaswamy, Gowtham Muniraju,Cihan Tepedelenlioglu,Andreas Spanias,Pavan Turaga,Raja Ayyanar, Devarajan Srinivasan

Synthesis Lectures on Power Electronics, no. 1 (2020): 1-91

Bibtex

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

Suhas Lohit,Rushil Anirudh,Pavan Turaga

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp.2342-2351, (2020)

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

Hongjun Choi, Anirudh Som,Pavan Turaga

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Topological Descriptors for Parkinson's Disease Classification and Regression Analysis

Nawar Afra, Rahman Farhan,Krishnamurthi Narayanan, Som Anirudh,Turaga Pavan

EMBC, (2020): 793-797

WOSEIBibtex

Rate-Invariant Autoencoding of Time-Series

Kaushik Koneripalli, Suhas Lohit,Rushil Anirudh,Pavan Turaga

ICASSP, pp.3732-3736, (2020)

EIBibtex

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

Anirudh Som,Narayanan Krishnamurthi,Matthew Buman,Pavan Turaga

EMBC, (2020): 784-788

WOSEIBibtex

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

Kuldeep Kulkarni, Tejas Gokhale, Rajhans Singh,Pavan Turaga, Aswin Sankaranarayanan

arXiv preprint arXiv:2004.08614, (2020)

Bibtex

Geometric Metrics for Topological Representations

Anirudh Som,Karthikeyan Natesan Ramamurthy,Pavan Turaga

Handbook of Variational Methods for Nonlinear Geometric Data, pp.415-441, (2020)

Cited by1Bibtex

GraCIAS: Grassmannian of Corrupted Images for Adversarial Security

Ankita Shukla,Pavan Turaga,Saket Anand

arxiv, (2020)

Bibtex

Geometry of Deep Generative Models for Disentangled Representations

Ankita Shukla,Shagun Uppal, Sarthak Bhagat,Saket Anand,Pavan K. Turaga

arXiv: Computer Vision and Pattern Recognition, (2019)

Cited by3EIBibtex

Identification of Apnea Events Using a Chest-Worn Monitor Compared to Laboratory-Based Polysomnography in Patients Suspected of Obstructive Sleep Apnea

Eduardo Salazar, Mayank Gupta, Meynard Toledo, Qiao Wang,Pavan Turaga, James M Parish,Matthew P Buman

Journal for the Measurement of Physical Behaviour, no. 2 (2019): 103-108

Bibtex

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

Berkay Kanberoglu, Dhritiman Das,Priya Nair,Pavan Turaga,David Frakes

International journal of biomedical imaging, (2019): 9435163-14

WOSEIBibtex

An REU Experience in Machine Learning and Computational Cameras

Divya Mohan, Sameeksha Katoch,Suren Jayasuriya,Pavan Turaga,Andreas Spanias

Frontiers in Education Conference, (2019)

Bibtex

Board 162: Online Modules to Introduce Students to Solar Array Control using Neural Nets

Vivek Sivaraman Narayanaswamy, Uday Shankar Shanthamallu, Abhinav Dixit, Sunil Rao, Raja Ayyanar, Cihan Tepedelenlioglu, Mahesh K Banavar, Sameeksha Katoch, Emma Pedersen, Photini Spanias, Andreas S Spanias,Pavan Turaga

2019 ASEE Annual Conference & Exposition, (2019)

Bibtex

PrOSe - Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning