Reshad Hosseini

According to our database, Reshad Hosseini authored at least 55 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Water Flow Detection Device Based on Sound Data Analysis and Machine Learning to Detect Water Leakage.

Hossein Pourmehrani, Reshad Hosseini, Hadi Moradi

CoRR, January, 2025

A novel theoretical analysis on optimal pipeline of multi-frame image super-resolution using sparse coding.

Mohammad Mahdi Afrasiabi, Reshad Hosseini, Aliazam Abbasfar

Signal Process. Image Commun., 2025

Learning from different perspectives for regret reduction in reinforcement learning: A free energy approach.

Milad Ghorbani, Reshad Hosseini, Seyed Pooya Shariatpanahi, Majid Nili Ahmadabadi

Neurocomputing, 2025

2024

MONO: Enhancing Bit-Flip Resilience With Bit Homogeneity for Neural Networks.

Maryam Eslami, Yuhao Liu, Salim Ullah, Mostafa E. Salehi, Reshad Hosseini, Seyed Ahmad Mirsalari, Akash Kumar

IEEE Embed. Syst. Lett., December, 2024

Stereo-RSSF: stereo robust sparse scene-flow estimation.

Erfan Salehi, Ali Aghagolzadeh, Reshad Hosseini

Vis. Comput., September, 2024

Stereo-RIVO: Stereo-Robust Indirect Visual Odometry.

Erfan Salehi, Ali Aghagolzadeh, Reshad Hosseini

J. Intell. Robotic Syst., September, 2024

FRMDN: Flow-based Recurrent Mixture Density Network.

Seyedeh Fatemeh Razavi, Reshad Hosseini, Tina Behzad

Expert Syst. Appl., March, 2024

Riemannian Preconditioned Coordinate Descent for Low Multilinear Rank Approximation.

Mohammad Hamed, Reshad Hosseini

SIAM J. Matrix Anal. Appl., 2024

Stochastic first-order learning for large-scale flexibly tied Gaussian mixture models.

Mohammad Pasande, Reshad Hosseini, Babak Nadjar Araabi

Pattern Recognit. Lett., 2024

Subgoal Discovery Using a Free Energy Paradigm and State Aggregations.

Amirhossein Mesbah, Reshad Hosseini, Seyed Pooya Shariatpanahi, Majid Nili Ahmadabadi

CoRR, 2024

Artificial Data Point Generation in Clustered Latent Space for Small Medical Datasets.

Yasaman Haghbin, Hadi Moradi, Reshad Hosseini

CoRR, 2024

2023

Online relational tracking with camera motion suppression.

Mohammad Hossein Nasseri, Mohammadreza Babaee, Hadi Moradi, Reshad Hosseini

J. Vis. Commun. Image Represent., February, 2023

Self-attention presents low-dimensional knowledge graph embeddings for link prediction.

Peyman Baghershahi, Reshad Hosseini, Hadi Moradi

Knowl. Based Syst., 2023

The optimal triangulation method is not really optimal.

Seyed-Mahdi Nasiri, Reshad Hosseini, Hadi Moradi

IET Image Process., 2023

Out-of-distribution detection using normalizing flows on the data manifold.

Seyedeh Fatemeh Razavi, Mohammad Mahdi Mehmanchi, Reshad Hosseini, Mostafa Tavassolipour

CoRR, 2023

Combination of Single and Multi-frame Image Super-resolution: An Analytical Perspective.

Mohammad Mahdi Afrasiabi, Reshad Hosseini, Aliazam Abbasfar

CoRR, 2023

Predicting the neural response of primary visual cortex (v1) using deep learning approach.

Sajjad Abdi Dehsorkh, Reshad Hosseini

Proceedings of the 28th International Computer Conference, Computer Society of Iran, 2023

2022

Multiple-solutions RANSAC for finding axes of symmetry in fragments of objects.

Seyed-Mahdi Nasiri, Reshad Hosseini, Hadi Moradi

Pattern Recognit., 2022

Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition.

Peyman Baghershahi, Reshad Hosseini, Hadi Moradi

CoRR, 2022

Stochastic First-Order Learning for Large-Scale Flexibly Tied Gaussian Mixture Model.

Mohammad Pasande, Reshad Hosseini, Babak Nadjar Araabi

CoRR, 2022

Fast Online and Relational Tracking.

Mohammad Hossein Nasseri, Mohammadreza Babaee, Hadi Moradi, Reshad Hosseini

CoRR, 2022

Joint Manifold Learning and Density Estimation Using Normalizing Flows.

Seyedeh Fatemeh Razavi, Mohammad Mahdi Mehmanchi, Reshad Hosseini, Mostafa Tavassolipour

CoRR, 2022

Introducing One Sided Margin Loss for Solving Classification Problems in Deep Networks.

Ali Karimi, Seyedeh-Zahra Mousavi Kouzehkanan, Reshad Hosseini, Hadi Asheri

CoRR, 2022

2021

Novel Parameterization for Gauss-Newton Methods in 3-D Pose Graph Optimization.

Seyed Mehdi Nasiri, Reshad Hosseini, Hadi Moradi

IEEE Trans. Robotics, 2021

A new EM algorithm for flexibly tied GMMs with large number of components.

Hadi Asheri, Reshad Hosseini, Babak Nadjar Araabi

Pattern Recognit., 2021

PerSpeechNorm: A Persian Toolkit for Speech Processing Normalization.

Romina Oji, Seyedeh Fatemeh Razavi, Sajjad Abdi Dehsorkh, Alireza Hariri, Hadi Asheri, Reshad Hosseini

CoRR, 2021

Solving Viewing Graph Optimization for Simultaneous Position and Rotation Registration.

Seyed-Mahdi Nasiri, Reshad Hosseini, Hadi Moradi

CoRR, 2021

Accurate and fast matrix factorization for low-rank learning.

Reza Godaz, Reza Monsefi, Faezeh Toutounian, Reshad Hosseini

CoRR, 2021

Learning with partially separable data.

Aida Khozaei, Hadi Moradi, Reshad Hosseini

CoRR, 2021

Simple online and real-time tracking with occlusion handling.

Mohammad Hossein Nasseri, Hadi Moradi, Reshad Hosseini, Mohammadreza Babaee

CoRR, 2021

Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds.

Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley

Proceedings of the Asian Conference on Machine Learning, 2021

2020

An alternative to EM for Gaussian mixture models: batch and stochastic Riemannian optimization.

Reshad Hosseini, Suvrit Sra

Math. Program., 2020

Deep visual unsupervised domain adaptation for classification tasks: a survey.

Yeganeh Madadi, Vahid Seydi, Kamal Nasrollahi, Reshad Hosseini, Thomas B. Moeslund

IET Image Process., 2020

Clustering subspace generalization to obtain faster reinforcement learning.

Maryam Hashemzadeh, Reshad Hosseini, Majid Nili Ahmadabadi

Evol. Syst., 2020

Reinforcement Learning with Subspaces using Free Energy Paradigm.

Milad Ghorbani, Reshad Hosseini, Seyed Pooya Shariatpanahi, Majid Nili Ahmadabadi

CoRR, 2020

Contour Integration using Graph-Cut and Non-Classical Receptive Field.

Seyedeh-Zahra Mousavi Kouzehkanan, Reshad Hosseini, Babak Nadjar Araabi

CoRR, 2020

FRMDN: Flow-based Recurrent Mixture Density Network.

Seyedeh Fatemeh Razavi, Reshad Hosseini

CoRR, 2020

2019

Exploiting Generalization in the Subspaces for Faster Model-Based Reinforcement Learning.

Maryam Hashemzadeh, Reshad Hosseini, Majid Nili Ahmadabadi

IEEE Trans. Neural Networks Learn. Syst., 2019

Active Transfer Learning for Persian Offline Signature Verification.

Taraneh Younesian, Saeed Masoudnia, Reshad Hosseini, Babak Nadjar Araabi

CoRR, 2019

2018

Deep-RBF Networks Revisited: Robust Classification with Rejection.

Pourya Habib Zadeh, Reshad Hosseini, Suvrit Sra

CoRR, 2018

A Recursive Least Square Method for 3D Pose Graph Optimization Problem.

Seyed Mehdi Nasiri, Reshad Hosseini, Hadi Moradi

CoRR, 2018

A Linear Least Square Initialization Method for 3D Pose Graph Optimization Problem.

Seyed Mehdi Nasiri, Hadi Moradi, Reshad Hosseini

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Exploiting generalization in the subspaces for faster model-based learning.

Maryam Hashemzadeh, Reshad Hosseini, Majid Nili Ahmadabadi

CoRR, 2017

2016

Improved Bayesian information criterion for mixture model selection.

Arash Mehrjou, Reshad Hosseini, Babak Nadjar Araabi

Pattern Recognit. Lett., 2016

Expected Logarithm of Central Quadratic Form and Its Use in KL-Divergence of Some Distributions.

Pourya Zadeh, Reshad Hosseini

Entropy, 2016

Inference and mixture modeling with the Elliptical Gamma Distribution.

Reshad Hosseini, Suvrit Sra, Lucas Theis, Matthias Bethge

Comput. Stat. Data Anal., 2016

Geometric Mean Metric Learning.

Pourya Zadeh, Reshad Hosseini, Suvrit Sra

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Conic Geometric Optimization on the Manifold of Positive Definite Matrices.

Suvrit Sra, Reshad Hosseini

SIAM J. Optim., 2015

Manifold Optimization for Gaussian Mixture Models.

Reshad Hosseini, Suvrit Sra

CoRR, 2015

MixEst: An Estimation Toolbox for Mixture Models.

Reshad Hosseini, Mohamadreza Mash'al

CoRR, 2015

Matrix Manifold Optimization for Gaussian Mixtures.

Reshad Hosseini, Suvrit Sra

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Data modeling with the elliptical gamma distribution.

Suvrit Sra, Reshad Hosseini, Lucas Theis, Matthias Bethge

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2013

Geometric optimisation on positive definite matrices for elliptically contoured distributions.

Suvrit Sra, Reshad Hosseini

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Natural Image Modelling using Mixture Models with compression as an application.

Reshad Hosseini

PhD thesis, 2012

2005

Wavelet based fingerprint image enhancement.

Safar Hatami, Reshad Hosseini, Mahmoud Kamarei, Hossein Ahmadi

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005