Publications

My Google Scholar

Patent:

• • Shervin Minaee, and Haoping Yu, "Apparatus and Method for Compressing Color Index Map", U.S. Patent No. 9,729,885, granted on Aug 8, 2017 (filed on Feb, 2015).

  • H Yu, Haoping, M Xu, W Wang, F Duanmu, and S Minaee, "Advanced Coding Techniques For High Efficiency Video Coding (HEVC) Screen Content Coding (SCC) Extensions." U.S. Patent Application 15/178,316, granted on Dec 4, 2018 (filed on June, 2016).

Journal Paper:

• Shervin Minaee, Yuri Boykov, Fatih Porikli, Antonio Plaza, Nasser Kehtarnavaz, Demetri Terzopoulos "Image Segmentation Using Deep Learning: A Survey", PAMI (Accepted, 2021) (impact factor: 19.42).

• Shervin Minaee, Rahele Kafieh, Milan Sonka, Shakib Yazdani, Ghazaleh Jamalipour Soufi, "Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning", Medical Image Analysis, Elsevier, 2020 (impact factor: 11.28).

• Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao "Deep Learning Based Text Classification: A Comprehensive Review", ACM Computing Survey (Accepted 2021) (impact factor: 8.96).

• Mahmoud Hassaballah, Mourad A. Kenk, Khan Muhammad, and Shervin Minaee "Vehicle Detection and Tracking in Adverse Weather Using a Deep Learning Framework", IEEE Transactions on Intelligent Transportation Systems, 2020 (impact factor: 7.42).

• Shervin Minaee, Amirali Abdolrashidi, Hang Su, Mohammed Bennamoun, David Zhang "Biometric Recognition Using Deep Learning: A Survey", Artificial Intelligence Review (impact factor: 7.26).

• Amirhossein Gourtani, Shervin Minaee, Yao Wang, "Masked-RPCA: Moving Object Detection with an Overlaying Model", IEEE Open Journal of Signal Processing, 2020.

• Shervin Minaee and Yao Wang, "Masked Signal Decomposition Using Subspace Representation and Its Applications", IEEE Transactions on Image Processing, 2019 (impact factor: 8.98), (Download Here).

• Shervin Minaee, Yao Wang, Alp Aygar, Sohae Chung, Xiuyuan Wang, Yvonne W. Lui, Els Fieremans, Steven Flanagan, Joseph Rath "MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features", Under Review IEEE Transactions on Medical Imaging, 2019 (impact factor: 9.71), (Download Here).

• Shervin Minaee and Yao Wang, "Screen Content Image Segmentation Using Robust Regression and Sparse Decomposition", IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2016 (impact factor: 3.03). (Download Here!)

Conference Papers:

• Ehsan Kazemi, Shervin Minaee, Moran Feldman, Amin Karbasi, "Mode Finding for SLC Distributions via Regularized Submodular Maximization", ICML 2020 (workshop on Negative Dependence and Submodularity: Theory and Applications in Machine Learning).

• Brooke Cowan, Xinxin Li, Shervin Minaee, Harsh Nilesh Pathak, " Efficient Super Resolution for Large-Scale Images using Attentional GAN", IEEE International Conference on Big Data, 2018.

• Shervin Minaee, Yao Wang, Anna Choromanska, Sohae Chung, Xiuyuan Wang, Els Fieremans, Steven Flanagan, Joseph Rath, Yvonne W Lui, "A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI", International Engineering in Medicine and Biology Conference (EMBC), IEEE, 2018.

• Amirhossein Khalilian-Gourtani, Shervin Minaee, Yao Wang , "Masked-RPCA: Sparse and Low-rank Decomposition Under Overlaying Model and Application to Moving Object Detection", , arXiv:1909.08049 , 2019. (Download from here).

• Shervin Minaee, Siyun Wang, Yao Wang, Sohae Chung, Xiuyuan Wang, Els Fieremans, Steven Flanagan, Joseph Rath, Yvonne W Lui, "Identifying Mild Traumatic Brain Injury Patients From MR Images Using Bag of Visual Words, IEEE Signal Processing in Medicine and Biology Symposium, 2017.

• Shervin Minaee, Amirali Abdolrashidi, Yao Wang, Face Recognition Using Scattering Convolutional Network, IEEE Signal Processing in Medicine and Biology Symposium, 2017.

• Shervin Minaee, Yao Wang, Sohae Chung, Xiuyuan Wang, Els Fieremans, Steven Flanagan, Joseph Rath, Yvonne W Lui, "A Machine Learning Approach For Identifying Patients with Mild Traumatic Brain Injury Using Diffusion MRI Modeling, ASFNR 11th Annual Meeting, 2017.

• Shervin Minaee and Yao Wang, "Subspace Learning in The Presence of Sparse Structured Outliers and Noise", International Symposium on Circuits and Systems, IEEE, 2017.

• Shervin Minaee and Zhu Liu, "Automatic Question-Answering Using A Deep Similarity Neural Network", Global Conference on Signal and Information Processing, IEEE, 2017.

• Shervin Minaee and Yao Wang, "Palmprint Recognition Using Deep Scattering Convolutional Network", International Symposium on Circuits and Systems, IEEE, 2017.

• Shervin Minaee and Yao Wang, "Screen Content Image Segmentation Using Sparse Decomposition and Total Variation Minimization", International Conference on Image Processing, IEEE, 2016. (Download Here!)

• Shervin Minaee, Amirali Abdolrashidi, and Yao Wang, "An Experimental Study of Deep Convolutional Features For Iris Recognition", IEEE Signal Processing in Medicine and Biology Symposium, 2016.

• Shervin Minaee and Yao Wang, "Image Segmentation Using Overlapping Group Sparsity", IEEE Signal Processing in Medicine and Biology Symposium, 2016.

• Shervin Minaee, AmirAli Abdolrashidi and Yao Wang, "Screen Content Image Segmentation Using Sparse-Smooth Decomposition", Asilomar Conference on Signals,Systems, and Computers, IEEE, 2015, Selected as best paper award finalist.

• Shervin Minaee and Yao Wang, "Screen Content Image Segmentation Using Least Absolute Deviation Fitting", IEEE International Conference on Image Processing, 2015. (Download here!)

• Shervin Minaee and Yao Wang, "Fingerprint Recognition Using Translation Invariant Scattering Network", IEEE Signal Processing in Medicine and Biology Symposium, 2015. (Download Here!)

• Shervin Minaee, AmirAli Abdolrashidi and Yao Wang, "Iris Recognition Using Scattering Transform and Textural Features", IEEE Signal Processing Workshop, 2015.

• Shervin Minaee and AmirAli Abdolrashidi, "On The Power of Joint Wavelet-DCT Features for Multispectral Palmprint Recognition", Asilomar Conference on Signals,Systems, and Computers, IEEE, 2015. (Download here!)

• Shervin Minaee and AmirAli Abdolrashidi, "Highly Accurate Multispectral Palmprint Recognition Using Statistical and Wavelet Features", IEEE Signal Processing Workshop, 2015. (Download here!)

• Shervin Minaee and AmirAli Abdolrashidi, "Multispectral palmprint recognition using textural features", IEEE Signal Processing in Medicine and Biology Symposium, 2014.

• Shervin Minaee, Mehran Fotouhi and Babak Hossein Khalaj, "A Geometric Approach For Fully Automatic Chromosome Segmentation", IEEE Signal Processing in Medicine and Biology Symposium, 2014. (Download here!)

• Shervin Minaee, Yao Wang and Yvonne W Lui, "Prediction of Longterm Outcome of Neuropsychological Tests of MTBI Patients Using Imaging Features", IEEE, Signal Processing in Medicine and Biology Symposium 2013.

Other Papers:

• Amirali Abdolrashidi, Mehdi Minaei, Elham Azimi, Shervin Minaee, "Age and Gender Prediction From Face Images Using Attentional Convolutional Network", arXiv preprint arXiv:2010.03791.

Associate Editor For:

• Signal, Image and Video Processing, Springer

Reviewer For:

• International Journal of Computer Vision, Springer

• International Conference on Machine Learning (ICML)

• IEEE Transactions on Image Processing (10+ papers)

• IEEE Transactions on Neural Networks and Learning Systems (10+)

• IEEE Transactions on Multimedia (10+ papers)

• IEEE Transactions on Cybernetics

• IEEE Transactions on Information Forensics and Security (10+ papers)

• IEEE Transactions on Circuits and Systems for Video Technology (15+ papers)

• IEEE Transactions on Audio, Speech, and Language Processing

• Pattern Recognition Journal, Elsevier