Brian E. Moore

Publication Activity (10 Years)

Years Active: 2003-2021
Publications (10 Years): 24

Top Topics

Surface Reconstruction

Low Rank Matrix

Photometric Stereo

Top Venues

IEEE Trans. Computational Imaging

Publications

Brian E. Moore
Exponential Integrators Based on Discrete Gradients for Linearly Damped/Driven Poisson Systems. J. Sci. Comput. 87 (2) (2021)
Brian E. Moore, Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models. IEEE Trans. Computational Imaging 6 (2020)
Brian E. Moore, Chen Gao, Raj Rao Nadakuditi
Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video. IEEE Trans. Computational Imaging 5 (2) (2019)
Ashish Bhatt, Brian E. Moore
Exponential integrators preserving local conservation laws of PDEs with time-dependent damping/driving forces. J. Comput. Appl. Math. 352 (2019)
Andrew John Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
Robust Photometric Stereo via Dictionary Learning. IEEE Trans. Computational Imaging 5 (2) (2019)
Brian E. Moore, Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models. CoRR (2018)
Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
Robust photometric stereo using learned image and gradient dictionaries. ICIP (2017)
Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
Robust Surface Reconstruction from Gradients via Adaptive Dictionary Regularization. CoRR (2017)
Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
Robust surface reconstruction from gradients via adaptive dictionary regularization. ICIP (2017)
Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
Robust Photometric Stereo Using Learned Image and Gradient Dictionaries. CoRR (2017)
Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
Robust Photometric Stereo via Dictionary Learning. CoRR (2017)
Brian E. Moore
Multi-conformal-symplectic PDEs and discretizations. J. Comput. Appl. Math. 323 (2017)
Chen Gao, Brian E. Moore, Raj Rao Nadakuditi
Augmented robust PCA for foreground-background separation on noisy, moving camera video. GlobalSIP (2017)
Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
Efficient online dictionary adaptation and image reconstruction for dynamic MRI. ACSSC (2017)
Brian E. Moore, Chen Gao, Raj Rao Nadakuditi
Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video. CoRR (2017)
Chen Gao, Brian E. Moore, Raj Rao Nadakuditi
Augmented Robust PCA For Foreground-Background Separation on Noisy, Moving Camera Video. CoRR (2017)
Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
Low-Rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging. IEEE Trans. Medical Imaging 36 (5) (2017)
Brian E. Moore, Saiprasad Ravishankar
Online data-driven dynamic image restoration using DINO-KAT models. ICIP (2017)
Ashish Bhatt, Brian E. Moore
Structure-preserving Exponential Runge-Kutta Methods. SIAM J. Sci. Comput. 39 (2) (2017)
Ashish Bhatt, Dwayne Floyd, Brian E. Moore
Second Order Conformal Symplectic Schemes for Damped Hamiltonian Systems. J. Sci. Comput. 66 (3) (2016)
Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
Efficient learning of dictionaries with low-rank atoms. GlobalSIP (2016)
Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
LASSI: A low-rank and adaptive sparse signal model for highly accelerated dynamic imaging. IVMSP (2016)
Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
Low-rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging. CoRR (2016)
Brian E. Moore, Raj Rao Nadakuditi
Robust PCA: Low rank matrix estimation with hard or soft thresholding-based outlier rejection. GlobalSIP (2016)
Raj Tejas Suryaprakash, Brian E. Moore, Raj Rao Nadakuditi
Algorithms and performance analysis for estimation of low-rank matrices with Kronecker structured singular vectors. ICASSP (2015)
Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
Improved Robust PCA using low-rank denoising with optimal singular value shrinkage. SSP (2014)
Brian E. Moore, Laura Noreña, Constance M. Schober
Conformal conservation laws and geometric integration for damped Hamiltonian PDEs. J. Comput. Phys. 232 (1) (2013)
Berkan Solmaz, Brian E. Moore, Mubarak Shah
Identifying Behaviors in Crowd Scenes Using Stability Analysis for Dynamical Systems. IEEE Trans. Pattern Anal. Mach. Intell. 34 (10) (2012)
A. R. Humphries, Brian E. Moore, Erik S. Van Vleck
Front Solutions for Bistable Differential-Difference Equations with Inhomogeneous Diffusion. SIAM J. Appl. Math. 71 (4) (2011)
Brian E. Moore, Saad Ali, Ramin Mehran, Mubarak Shah
Visual crowd surveillance through a hydrodynamics lens. Commun. ACM 54 (12) (2011)
Ramin Mehran, Brian E. Moore, Mubarak Shah
A Streakline Representation of Flow in Crowded Scenes. ECCV (3) (2010)
Shandong Wu, Brian E. Moore, Mubarak Shah
Chaotic invariants of Lagrangian particle trajectories for anomaly detection in crowded scenes. CVPR (2010)
Brian E. Moore
Conformal multi-symplectic integration methods for forced-damped semi-linear wave equations. Math. Comput. Simul. 80 (1) (2009)
Jason Frank, Brian E. Moore, Sebastian Reich
Linear PDEs and Numerical Methods That Preserve a Multisymplectic Conservation Law. SIAM J. Sci. Comput. 28 (1) (2006)
Brian E. Moore, Sebastian Reich
Erratum to: "Multi-symplectic integration methods for Hamiltonian PDEs" [Future Gen. Comput. Sys. 19 (2003) 395-402] Future Gener. Comput. Syst. 20 (4) (2004)
Brian E. Moore, Sebastian Reich
Backward error analysis for multi-symplectic integration methods. Numerische Mathematik 95 (4) (2003)
Brian E. Moore, Sebastian Reich
Multi-symplectic integration methods for Hamiltonian PDEs. Future Gener. Comput. Syst. 19 (3) (2003)