Ashkan Esmaeili

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 26

Top Topics

Adaptive Thresholding

Top Venues

IEEE Signal Process. Lett.

Publications

Ashkan Esmaeili, Marzieh Edraki, Nazanin Rahnavard, Ajmal Mian, Mubarak Shah
Low-Rank and Sparse Decomposition for Low-Query Decision-Based Adversarial Attacks. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Nazmul Karim, Umar Khalid, Ashkan Esmaeili, Nazanin Rahnavard
CNLL: A Semi-supervised Approach For Continual Noisy Label Learning. CVPR Workshops (2022)
Umar Khalid, Ashkan Esmaeili, Nazmul Karim, Nazanin Rahnavard
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection. CoRR (2022)
Umar Khalid, Ashkan Esmaeili, Nazmul Karim, Nazanin Rahnavard
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection. CVPR Workshops (2022)
Nazmul Karim, Umar Khalid, Ashkan Esmaeili, Nazanin Rahnavard
CNLL: A Semi-supervised Approach For Continual Noisy Label Learning. CoRR (2022)
Saeed Vahidian, Mohsen Joneidi, Ashkan Esmaeili, Siavash Khodadadeh, Sharare Zehtabian, Bill Lin
Spectrum Pursuit With Residual Descent for Column Subset Selection Problem: Theoretical Guarantees and Applications in Deep Learning. IEEE Access 10 (2022)
Ashkan Esmaeili, Mohsen Joneidi, Mehrdad Salimitari, Umar Khalid, Nazanin Rahnavard
Two-way Spectrum Pursuit for CUR Decomposition and Its Application in Joint Column/Row Subset Selection. CoRR (2021)
Ashkan Esmaeili
Generative Model Adversarial Training for Deep Compressed Sensing. CoRR (2021)
Ashkan Esmaeili, Mohsen Joneidi, Mehrdad Salimitari, Umar Khalid, Nazanin Rahnavard
Two-Way Spectrum Pursuit for CUR Decomposition and its Application in Joint Column/Row Subset Selection. MLSP (2021)
Ashkan Esmaeili, Marzieh Edraki, Nazanin Rahnavard, Mubarak Shah, Ajmal Mian
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack. CoRR (2021)
Ashkan Esmaeili, Kayhan Behdin, Mohammad Amin Fakharian, Farokh Marvasti
Transductive multi-label learning from missing data using smoothed rank function. Pattern Anal. Appl. 23 (3) (2020)
Mohsen Joneidi, Saeed Vahidian, Ashkan Esmaeili, Weijia Wang, Nazanin Rahnavard, Bill Lin, Mubarak Shah
Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds. CVPR (2020)
Masoumeh Azghani, Ashkan Esmaeili, Kayhan Behdin, Farokh Marvasti
Missing Low-Rank and Sparse Decomposition Based on Smoothed Nuclear Norm. IEEE Trans. Circuits Syst. Video Technol. 30 (6) (2020)
Ashkan Esmaeili, Farokh Marvasti
A Novel Approach to Quantized Matrix Completion Using Huber Loss Measure. IEEE Signal Process. Lett. 26 (2) (2019)
Ashkan Esmaeili, Kayhan Behdin, Sina Al-E.-Mohammad, Farokh Marvasti
Recovering Quantized Data with Missing Information Using Bilinear Factorization and Augmented Lagrangian Method. CoRR (2018)
Ashkan Esmaeili, Kayhan Behdin, Mohammad Amin Fakharian, Farokh Marvasti
Transduction with Matrix Completion Using Smoothed Rank Function. CoRR (2018)
Ashkan Esmaeili, Farokh Marvasti
A Novel Approach to Sparse Inverse Covariance Estimation Using Transform Domain Updates and Exponentially Adaptive Thresholding. CoRR (2018)
Ashkan Esmaeili, Ehsan Asadi Kangarshahi, Farokh Marvasti
Iterative null space projection method with adaptive thresholding in sparse signal recovery. IET Signal Process. 12 (5) (2018)
Ashkan Esmaeili, Farokh Marvasti
A Novel Approach to Quantized Matrix Completion Using Huber Loss Measure. CoRR (2018)
Ali Mottaghi, Kayhan Behdin, Ashkan Esmaeili, Mohammadreza Heydari, Farrokh Marvasti
OBTAIN: Real-Time Beat Tracking in Audio Signals. CoRR (2017)
Mohammad Amin Fakharian, Ashkan Esmaeili, Farokh Marvasti
New Methods of Enhancing Prediction Accuracy in Linear Models with Missing Data. CoRR (2017)
Ehsan Asadi, Ashkan Esmaeili, Farokh Marvasti
Iterative Null-space Projection Method with Adaptive Thresholding in Sparse Signal Recovery and Matrix Completion. CoRR (2016)
Ashkan Esmaeili, Arash Amini, Farokh Marvasti
Fast Methods for Recovering Sparse Parameters in Linear Low Rank Models. CoRR (2016)
Ashkan Esmaeili, Arash Amini, Farokh Marvasti
Fast methods for recovering sparse parameters in linear low rank models. GlobalSIP (2016)
Ashkan Esmaeili, Farokh Marvasti
Comparison of several sparse recovery methods for low rank matrices with random samples. IST (2016)
Ashkan Esmaeili, Farokh Marvasti
Comparison of Several Sparse Recovery Methods for Low Rank Matrices with Random Samples. CoRR (2016)
Ashkan Esmaeili, Saeed Mashhadi
Optimizing sensing duration for multiple secondary users in cognitive radio networks. IWCIT (2014)