Research Output per year
Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
Computer vision
Engineering & Materials Science
Geometry
Engineering & Materials Science
Cameras
Engineering & Materials Science
Face recognition
Engineering & Materials Science
Dynamical systems
Engineering & Materials Science
Statistical methods
Engineering & Materials Science
Patient rehabilitation
Engineering & Materials Science
Imaging techniques
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2004 2018
5
Citations
A cyber-physical system approach for photovoltaic array monitoring and control
Rao, S., Katoch, S., Turaga, P., Spanias, A., Tepedelenlioglu, C., Ayyanar, R., Braun, H., Lee, J., Shanthamallu, U., Banavar, M. & Srinivasan, D., Mar 14 2018, 2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 1-6 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Learning systems
monitoring
Monitoring
renewable energy
learning method
1
Citations
Introduction to the special issue on representation, analysis, and recognition of 3D humans
Berretti, S., Daoudi, M., Turaga, P. & Basu, A., Feb 1 2018, In : ACM Transactions on Multimedia Computing, Communications and Applications. 14, 1s, 15.Research output: Contribution to journal › Editorial
Learning Invariant Riemannian Geometric Representations Using Deep Nets
Lohit, S. & Turaga, P., Jan 19 2018, Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 1329-1338 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Geometry
Learning systems
Image classification
Vector spaces
Invariance
1
Citations
Multiscale evolution of attractor-shape descriptors for assessing Parkinson's disease severity
Som, A., Krishnamurthi, N., Venkataraman, V., Ramamurthy, K. N. & Turaga, P., Mar 7 2018, 2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 938-942 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Time delay
Dynamical systems
Perturbation robust representations of topological persistence diagrams
Som, A., Thopalli, K., Ramamurthy, K. N., Venkataraman, V., Shukla, A. & Turaga, P., Jan 1 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Ferrari, V., Sminchisescu, C., Hebert, M. & Weiss, Y. (eds.). Springer Verlag, p. 638-659 22 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11211 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Shape Analysis
Invariance
Persistence
Learning systems
Machine Learning
Prizes
National Science Foundation CAREER award
Pavan Turaga (Recipient), Jun 2015
Prize: Prize (including medals and awards)
Projects 2007 2020
Generative Adversarial Nets for Robust Defect Classification
6/1/18 → 5/31/19
Project: Research project
Scalable topological and geometric methods for multimodal activity modeling
DOD-ARMY: Army Research Laboratory (ARL)
6/15/17 → 6/14/20
Project: Research project
CPS: Synergy: Image Modeling and Machine Learning Algorithms for Utility-Scale Solar Panel Monitoring
Spanias, A., Ayyanar, R., Tepedelenlioglu, C. & Turaga, P.
NSF-ENG: Div Electrical, Communications Cyber Sys (ECCS)
10/1/16 → 9/30/20
Project: Research project
synergy
monitoring
offense
learning
police