Reference Letter for Green Cards/ U.S. Residency Application (18)
2024 (2)
Qian Sun
F. Yang, Q. Sun, H. Jin, Z. Zhou, "Superpixel Segmentation With Fully Convolutional Networks", IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2020, pages 13961-13970, Seattle, USA, 2020.
Praneeth Narayanamurthy
N. Vaswani, T. Bouwmans, S. Javed, P. Narayanamurthy, “Robust PCA and Robust Subspace Tracking: A Comparative Evaluation”, IEEE Statistical Signal Processing Workshop, SSP 2018, Freiburg, Germany, June 2018.
2023 (3)
Qili Zeng
W. Huang, Q. Zeng, M. Chen,"Motion characteristics estimation of animals in video surveillance", Advanced Information Technology, Electronic and Automation Control Conference, pages 1098-1102, 2017.
Mayur Dhanaraj
P. Markopoulos, M. Dhanaraj, A. Savakis, "Adaptive L1-Norm Principal-Component Analysis with Online Outlier Rejection", IEEE Journal of Selected Topics in Signal Processing, Volume 12, No. 6, pages 1131-1143, December 2018.
Hadi Ghahremannezhad
H. Shi, H. Ghahremannezhad, C. Liu, "Unsupervised Anomaly Detection in Traffic Surveillance Based on Global Foreground Modeling", IEEE International Conference on Imaging Systems and Techniques, IST 2022, pages 1-6, Kaohsiung, Taiwan, 2022.
2022 (1)
F. Yang, Q. Sun, H. Jin, Z. Zhou, "Superpixel Segmentation With Fully Convolutional Networks", IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2020, pages 961-970, 2020.
2021 (4)
K. Qiu, X. Mao, X. Shen X. Wang, T. Li, Y. Gu, "Time-varying Graph Signal Reconstruction", IEEE Journal of Selected Topics in Signal Processing, Volume 11, No. 6, pages 870-883, 2017.
Z. Zhu, Q. Li, G. Tang, M. Wakin. "Global optimality in low-rank matrix optimization", IEEE Transactions on Signal Processing 66, no. 13, 2018.
Q. Li, Z. Zhu, G. Tang, "The non-convex geometry of low-rank matrix optimization", Information and Inference: A Journal of the IMA, 2019.
Q. Li, Z. Zhu, G. Tang, "Alternating minimizations converge to second-order optimal solutions", IEEE International Conference on Machine Learning. PMLR 2019, 2019
Z. Zhu, Q. Li, G. Tang, M. Wakin, "The global optimization geometry of low-rank matrix optimization", IEEE Transactions on Information Theory, Volume 67, No. 2, 2021.
X. Liu, J. Yao, X. Hong, X. Huang, Z. Zhou, C. Qi,G. Zhao, "Background subtraction using spatio-temporal group sparsity recovery",IEEE Transactions on Circuits and Systems for Video Technology, 2018.
X. Liu, G. Zhao, J. Yao, C. Qi, "Background Subtraction based on Low-rank and Structured Sparse Decomposition", IEEE Transactions on Image Processing, pages 2502 - 2514, 2015.
J. Yao, X. Liu, C. Qi, "Foreground detection using low rank and structured sparsity", IEEE International Conference on Multimedia and Expo, ICME 2014, pages 1-6, Chengdu, China, 2014.
A. Farnoosh, B. Rezaei, S. Ostadabbas, “DEEPBM: Deep Probabilistic Background Model Estimation from Video Sequences”, International Workshop on Deep Learning for Pattern Recognition, DLPR 2020, January 2021.
B. Rezaei, A. Farnoosh, S. Ostadabbas, "G-LBM : Generative Low-dimensional Background Model Estimation from Video Sequences", Preprint, March 2020.
2020 (2)
B. Rezaei, S. Ostadabbas, “Background Subtraction via Fast Robust Matrix Completion”, International Workshop on RSL-CV in conjunction with ICCV 2017, October 2017.
B. Rezaei, S. Ostadabbas, "Moving Object Detection through Robust Matrix Completion Augmented with Objectness ", IEEE Journal of Selected Topics in Signal Processing, December 2018.
A. Farnoosh, B. Rezaei, S. Ostadabbas, “DEEPBM: Deep Probabilistic Background Model Estimation from Video Sequences”,International Workshop on Deep Learning for Pattern Recognition, DLPR 2020, January 2021.
B. Rezaei, A. Farnoosh, S. Ostadabbas, "G-LBM : Generative Low-dimensional Background Model Estimation from Video Sequences", Preprint, March 2020.
M. Hadiuzzaman, N. Haque, F. Rahman, S. Hossain, M. Siam, T. Qiu. « Pixel-based heterogeneous traffic measurement considering shadow and illumination variations”, Signal, Image and Video Processing , Volume 11, pages 1245-1252, 2017.
S. Muniruzzaman, N. Haque, F. Rahman, M. Siam, R. Musabbir, “Deterministic algorithm for traffic detection in free-flow and congestion using video sensor”, Journal of Built Environment, Technology and Engineering, Volume 1, pages 111-130, 2016.
2018 (1)
R. Sivalingam, A. D'Souza, M. Bazakos, R. Miezianko, V. Morellas, N. Papanikolopoulos, “Dictionary learning for robust background modeling”, IEEE International Conference on Robotics and Automation, pages 4234-4239, 2011.
2015 (1)
Y. Dong, G. DeSouza, T. Han, “Illumination Invariant Foreground Detection using Multi-Subspace Learning”, International Journal of Knowledge-based and Intelligent Engineering Systems, Volume 14, Number 1, pages 31-41, 2010.
Y. Dong, G. DeSouza, “Adaptive Learning of Multi-Subspace for Foreground Detection under Illumination Changes”, Journal of Computer Vision and Image Understanding, CVIU 2011, pages 31-49, 2011
2014 (2)
X. Shu, F. Porikli, N. Ahuja, “Robust Orthonormal Subspace Learning: Efficient Recovery of Corrupted Low-rank Matrices”, IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2014, 2014.
R. Li, Y. Chen, X. Zhang, “Fast Robust Eigen-Background Updating for Foreground Detection”, IEEE International Conference on Image Processsing, ICIP 2006 pages 1833-1836, 2006.
2013 (1)
G Tang, A Nehorai, “Robust principal component analysis based on low-rank and block-sparse matrix decomposition”, Annual Conference on Information Sciences and Systems, CISS 2011,pages 1-5, 2011.
2012 (1)
Y Zhao, H Gong, Y Jia, SC Zhu, “Background modeling by subspace learning on spatio-temporal patches”, Pattern Recognition Letters, Volume 33, Issue 9, pages 1134-1147, 2012.
Y Zhao, H Gong, L Lin, Y Jia, “Spatio-temporal patches for night background modeling by subspace learning”, International Conference on Pattern Recognition, ICPR 2008, pages 1-4, 2008.