Prudhvi Gurram

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 30

Top Topics

Anomaly Detection

Hyperspectral Image Classification

Top Venues

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Publications

Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps
Minimax asymptotically optimal quickest change detection for statistically periodic data. Signal Process. 215 (2024)
Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps
A Bayesian Theory of Change Detection in Statistically Periodic Random Processes. IEEE Trans. Inf. Theory 67 (4) (2021)
Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps
Multislot and Multistream Quickest Change Detection in Statistically Periodic Processes. ISIT (2020)
Celso M. de Melo, Brandon Rothrock, Prudhvi Gurram, Oytun Ulutan, B. S. Manjunath
Vision-Based Gesture Recognition in Human-Robot Teams Using Synthetic Data. IROS (2020)
Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece
Sanity Checks for Saliency Metrics. AAAI (2020)
Liam Hiley, Alun D. Preece, Yulia Hicks, Supriyo Chakraborty, Prudhvi Gurram, Richard Tomsett
Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models. CoRR (2020)
Anjaly Parayil, He Bai, Jemin George, Prudhvi Gurram
Decentralized Langevin Dynamics for Bayesian Learning. NeurIPS (2020)
Anjaly Parayil, He Bai, Jemin George, Prudhvi Gurram
A Decentralized Approach to Bayesian Learning. CoRR (2020)
Jemin George, Prudhvi Gurram
Distributed Stochastic Gradient Descent with Event-Triggered Communication. AAAI (2020)
Jemin George, Tao Yang, He Bai, Prudhvi Gurram
Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning. CoRR (2019)
Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece
Sanity Checks for Saliency Metrics. CoRR (2019)
Jemin George, Prudhvi Gurram
Distributed Deep Learning with Event-Triggered Communication. CoRR (2019)
Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps
A Bayesian Theory of Change Detection in Statistically Periodic Random Processes. CoRR (2019)
Jemin George, Tao Yang, He Bai, Prudhvi Gurram
Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning. CDC (2019)
Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps
Quickest Detection of Deviations from Periodic Statistical Behavior. ICASSP (2019)
Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps
Quickest Event Detection Using Multimodal Data In Nonstationary Environments. CoRR (2019)
Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps
Bayesian Quickest Detection of Changes in Statistically Periodic Processes. ISIT (2019)
Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps
A Sequential Detection Theory for Statistically Periodic Random Processes. Allerton (2019)
Pengcheng Xu, Prudhvi Gurram, Gene T. Whipps, Rama Chellappa
Wasserstein Distance Based Domain Adaptation for Object Detection. CoRR (2019)
Taposh Banerjee, Gene T. Whipps, Prudhvi Gurram, Vahid Tarokh
Sequential Event Detection Using Multimodal Data in Nonstationary Environments. FUSION (2018)
Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps
Quickest Detection Of Deviations From Periodic Statistical Behavior. CoRR (2018)
Taposh Banerjee, Gene T. Whipps, Prudhvi Gurram, Vahid Tarokh
Sequential Event Detection Using Multimodal Data in Nonstationary Environments. CoRR (2018)
Taposh Banerjee, Gene T. Whipps, Prudhvi Gurram, Vahid Tarokh
Cyclostationary Statistical Models and Algorithms for Anomaly Detection Using Multi-Modal Data. GlobalSIP (2018)
Taposh Banerjee, Gene T. Whipps, Prudhvi Gurram, Vahid Tarokh
Cyclostationary Statistical Models and Algorithms for Anomaly Detection Using Multi-Modal Data. CoRR (2018)
Richard Tomsett, Amy Widdicombe, Tianwei Xing, Supriyo Chakraborty, Simon Julier, Prudhvi Gurram, Raghuveer M. Rao, Mani B. Srivastava
Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning. FUSION (2018)
Supriyo Chakraborty, Richard Tomsett, Ramya Raghavendra, Daniel Harborne, Moustafa Alzantot, Federico Cerutti, Mani B. Srivastava, Alun D. Preece, Simon Julier, Raghuveer M. Rao, Troy D. Kelley, Dave Braines, Murat Sensoy, Christopher J. Willis, Prudhvi Gurram
Interpretability of deep learning models: A survey of results. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2017)
Prudhvi Gurram, Heesung Kwon, Charles Davidson
Coalition Game Theory-Based Feature Subspace Selection for Hyperspectral Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9 (6) (2016)
Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa
Clustering-aware structure-constrained low-rank representation model for learning human action attributes. IVMSP (2016)
Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa
Human Action Attribute Learning From Video Data Using Low-Rank Representations. CoRR (2016)
Shuowen Hu, Nathaniel J. Short, Benjamin S. Riggan, Christopher Gordon, Kristan P. Gurton, Matthew Thielke, Prudhvi Gurram, Alex L. Chan
A Polarimetric Thermal Database for Face Recognition Research. CVPR Workshops (2016)
Zhimin Peng, Prudhvi Gurram, Heesung Kwon, Wotao Yin
Optimal Sparse Kernel Learning for Hyperspectral Anomaly Detection. CoRR (2015)
Prudhvi Gurram, Heesung Kwon, Charles Davidson
Shapely value based random subspace selection for hyperspectral image classification. IGARSS (2015)
Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa
Hierarchical Union-of-Subspaces Model for Human Activity Summarization. ICCV Workshops (2015)
Nathaniel J. Short, Shuowen Hu, Prudhvi Gurram, Kristan P. Gurton
Exploiting polarization-state information for cross-spectrum face recognition. BTAS (2015)
Zhimin Peng, Prudhvi Gurram, Heesung Kwon, Wotao Yin
Sparse kernel learning-based feature selection for anomaly detection. IEEE Trans. Aerosp. Electron. Syst. 51 (3) (2015)
Prudhvi Gurram, Heesung Kwon
Optimal Sparse Kernel Learning in the Empirical Kernel Feature Space for Hyperspectral Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7 (4) (2014)
Prudhvi Gurram, Raghuveer M. Rao
Entropy metric regularization for computational imaging with sensor arrays. AIPR (2014)
Prudhvi Gurram, Heesung Kwon
Coalition game theory based feature subset selection for hyperspectral image classification. IGARSS (2014)
Prudhvi Gurram, Heesung Kwon
Contextual SVM Using Hilbert Space Embedding for Hyperspectral Classification. IEEE Geosci. Remote. Sens. Lett. 10 (5) (2013)
Prudhvi Gurram, Heesung Kwon
Sparse Kernel-Based Ensemble Learning With Fully Optimized Kernel Parameters for Hyperspectral Classification Problems. IEEE Trans. Geosci. Remote. Sens. 51 (2) (2013)
Heesung Kwon, Xiaofei Hu, James Theiler, Alina Zare, Prudhvi Gurram
Algorithms for Multispectral and Hyperspectral Image Analysis. J. Electr. Comput. Eng. 2013 (2013)
Prudhvi Gurram, Shuowen Hu, Alex L. Chan
Uniform grid upsampling of 3D lidar point cloud data. Three-Dimensional Image Processing (3DIP) and Applications (2013)
Prudhvi Gurram, Heesung Kwon, Zhimin Peng, Wotao Yin
Optimal sparse kernel learning for hyperspectral anomaly detection. WHISPERS (2013)
Prudhvi Gurram, Heesung Kwon
Contextual SVM for hyperspectral classification using Hilbert Space Embedding. IGARSS (2012)
Prudhvi Gurram, Heesung Kwon, Timothy Han
Sparse Kernel-Based Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. 9 (5) (2012)
Prudhvi Gurram, Eli Saber, Harvey E. Rhody
Semiautomated system for three-dimensional modeling of buildings from aerial video. J. Electronic Imaging 21 (1) (2012)
Prudhvi Gurram, Heesung Kwon
Optimal sparse kernel learning in the Empirical Kernel Feature Space for hyperspectral classification. WHISPERS (2012)
Prudhvi Gurram, Heesung Kwon
Hyperspectral anomaly detection using an optimized support vector data description method. WHISPERS (2011)
Prudhvi Gurram, Heesung Kwon
Generalized optimal Kernel-Based Ensemble Learning for hyperspectral classification problems. IGARSS (2011)
Prudhvi Gurram, Heesung Kwon
Support-Vector-Based Hyperspectral Anomaly Detection Using Optimized Kernel Parameters. IEEE Geosci. Remote. Sens. Lett. 8 (6) (2011)
Heesung Kwon, Prudhvi Gurram
Optimal kernel bandwidth estimation for hyperspectral kernel-based anomaly detection. IGARSS (2010)
Prudhvi Gurram, Heesung Kwon
A full diagonal bandwidth gaussian kernel SVM based ensemble learning for hyperspectral chemical plume detection. IGARSS (2010)
Prudhvi Gurram, Eli Saber, Harvey E. Rhody
A Segment-Based Mesh Design for Building Parallel-Perspective Stereo Mosaics. IEEE Trans. Geosci. Remote. Sens. 48 (3-1) (2010)
Prudhvi Gurram, Eli Saber, Ferat Sahin, Harvey E. Rhody
Automated 3D object identification using Bayesian networks. AIPR (2009)
Prudhvi Gurram, Stephen R. Lach, Eli Saber, Harvey E. Rhody, John P. Kerekes
3D Scene Reconstruction through a Fusion of Passive Video and Lidar Imagery. AIPR (2007)