Ashkan Esmaeili

27 papers A* 1Journal 20Unranked 6

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