Wavelet based fingerprint image enhancement. - Safar Hatami; Reshad Hosseini; Mahmoud Kamarei; Hossein Ahmadi (ISCAS (5), 2005)

Natural Image Modelling using Mixture Models with compression as an application. - Reshad Hosseini (2012)

Geometric optimisation on positive definite matrices for elliptically contoured distributions. - Suvrit Sra; Reshad Hosseini (NIPS, 2013)

Data modeling with the elliptical gamma distribution. - Suvrit Sra; Reshad Hosseini; Lucas Theis; Matthias Bethge (AISTATS, 2015)

Matrix Manifold Optimization for Gaussian Mixtures. - Reshad Hosseini; Suvrit Sra (NIPS, 2015)

MixEst: An Estimation Toolbox for Mixture Models. - Reshad Hosseini; Mohamadreza Mash'al (CoRR, 2015)

Manifold Optimization for Gaussian Mixture Models. - Reshad Hosseini; Suvrit Sra (CoRR, 2015)

Conic Geometric Optimization on the Manifold of Positive Definite Matrices. - Suvrit Sra; Reshad Hosseini (SIAM J. Optim., 2015)

Geometric Mean Metric Learning. - Pourya Zadeh; Reshad Hosseini; Suvrit Sra (ICML, 2016)

Inference and mixture modeling with the Elliptical Gamma Distribution. - Reshad Hosseini; Suvrit Sra; Lucas Theis; Matthias Bethge (Comput. Stat. Data Anal., 2016)

Expected Logarithm of Central Quadratic Form and Its Use in KL-Divergence of Some Distributions. - Pourya Zadeh; Reshad Hosseini (Entropy, 2016)

Improved Bayesian information criterion for mixture model selection. - Arash Mehrjou; Reshad Hosseini; Babak Nadjar Araabi (Pattern Recognit. Lett., 2016)

Exploiting generalization in the subspaces for faster model-based learning. - Maryam Hashemzadeh; Reshad Hosseini; Majid Nili Ahmadabadi (CoRR, 2017)

A Linear Least Square Initialization Method for 3D Pose Graph Optimization Problem. - Seyed Mehdi Nasiri; Hadi Moradi; Reshad Hosseini (ICRA, 2018)

A Recursive Least Square Method for 3D Pose Graph Optimization Problem. - Seyed Mehdi Nasiri; Reshad Hosseini; Hadi Moradi (CoRR, 2018)

Deep-RBF Networks Revisited: Robust Classification with Rejection. - Pourya Habib Zadeh; Reshad Hosseini; Suvrit Sra (CoRR, 2018)

Active Transfer Learning for Persian Offline Signature Verification. - Taraneh Younesian; Saeed Masoudnia; Reshad Hosseini; Babak Nadjar Araabi (CoRR, 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)

FRMDN: Flow-based Recurrent Mixture Density Network. - Seyedeh Fatemeh Razavi; Reshad Hosseini (CoRR, 2020)

Contour Integration using Graph-Cut and Non-Classical Receptive Field. - Seyedeh-Zahra Mousavi Kouzehkanan; Reshad Hosseini; Babak Nadjar Araabi (CoRR, 2020)

Reinforcement Learning with Subspaces using Free Energy Paradigm. - Milad Ghorbani; Reshad Hosseini; Seyed Pooya Shariatpanahi; Majid Nili Ahmadabadi (CoRR, 2020)

Clustering subspace generalization to obtain faster reinforcement learning. - Maryam Hashemzadeh; Reshad Hosseini; Majid Nili Ahmadabadi (Evol. Syst., 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)

An alternative to EM for Gaussian mixture models: batch and stochastic Riemannian optimization. - Reshad Hosseini; Suvrit Sra (Math. Program., 2020)

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 001 (ACML, 2021)

Simple online and real-time tracking with occlusion handling. - Mohammad Hossein Nasseri; Hadi Moradi; Reshad Hosseini; Mohammadreza Babaee (CoRR, 2021)

Learning with partially separable data. - Aida Khozaei; Hadi Moradi; Reshad Hosseini (CoRR, 2021)

Accurate and fast matrix factorization for low-rank learning. - Reza Godaz; Reza Monsefi; Faezeh Toutounian; Reshad Hosseini (CoRR, 2021)

Solving Viewing Graph Optimization for Simultaneous Position and Rotation Registration. - Seyed-Mahdi Nasiri; Reshad Hosseini; Hadi Moradi (CoRR, 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)

A new EM algorithm for flexibly tied GMMs with large number of components. - Hadi Asheri; Reshad Hosseini; Babak Nadjar Araabi (Pattern Recognit., 2021)

Novel Parameterization for Gauss-Newton Methods in 3-D Pose Graph Optimization. - Seyed Mehdi Nasiri; Reshad Hosseini; Hadi Moradi (IEEE Trans. Robotics, 2021)

Introducing One Sided Margin Loss for Solving Classification Problems in Deep Networks. - Ali Karimi; Seyedeh-Zahra Mousavi Kouzehkanan; Reshad Hosseini; Hadi Asheri (CoRR, 2022)

Joint Manifold Learning and Density Estimation Using Normalizing Flows. - Seyedeh Fatemeh Razavi; Mohammad Mahdi Mehmanchi; Reshad Hosseini; Mostafa Tavassolipour (CoRR, 2022)

Fast Online and Relational Tracking. - Mohammad Hossein Nasseri; Mohammadreza Babaee; Hadi Moradi; Reshad Hosseini (CoRR, 2022)

Stochastic First-Order Learning for Large-Scale Flexibly Tied Gaussian Mixture Model. - Mohammad Pasande; Reshad Hosseini; Babak Nadjar Araabi (CoRR, 2022)

Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition. - Peyman Baghershahi; Reshad Hosseini; Hadi Moradi (CoRR, 2022)

Multiple-solutions RANSAC for finding axes of symmetry in fragments of objects. - Seyed-Mahdi Nasiri; Reshad Hosseini; Hadi Moradi (Pattern Recognit., 2022)

Predicting the neural response of primary visual cortex (v1) using deep learning approach. - Sajjad Abdi Dehsorkh; Reshad Hosseini (CSICC, 2023)

Combination of Single and Multi-frame Image Super-resolution: An Analytical Perspective. - Mohammad Mahdi Afrasiabi; Reshad Hosseini; Aliazam Abbasfar (CoRR, 2023)

The optimal triangulation method is not really optimal. - Seyed-Mahdi Nasiri; Reshad Hosseini; Hadi Moradi (IET Image Process., 2023)

Self-attention presents low-dimensional knowledge graph embeddings for link prediction. - Peyman Baghershahi; Reshad Hosseini; Hadi Moradi (Knowl. Based Syst., 2023)

Online relational tracking with camera motion suppression. - Mohammad Hossein Nasseri; Mohammadreza Babaee; Hadi Moradi; Reshad Hosseini (J. Vis. Commun. Image Represent., 2023)

Artificial Data Point Generation in Clustered Latent Space for Small Medical Datasets. - Yasaman Haghbin; Hadi Moradi; Reshad Hosseini (CoRR, 2024)

Subgoal Discovery Using a Free Energy Paradigm and State Aggregations. - Amirhossein Mesbah; Reshad Hosseini; Seyed Pooya Shariatpanahi; Majid Nili Ahmadabadi (CoRR, 2024)

Stochastic first-order learning for large-scale flexibly tied Gaussian mixture models. - Mohammad Pasande; Reshad Hosseini; Babak Nadjar Araabi (Pattern Recognit. Lett., 2024)

Riemannian Preconditioned Coordinate Descent for Low Multilinear Rank Approximation. - Mohammad Hamed; Reshad Hosseini (SIAM J. Matrix Anal. Appl., 2024)

FRMDN: Flow-based Recurrent Mixture Density Network. - Seyedeh Fatemeh Razavi; Reshad Hosseini; Tina Behzad (Expert Syst. Appl., 2024)

Stereo-RIVO: Stereo-Robust Indirect Visual Odometry. - Erfan Salehi; Ali Aghagolzadeh; Reshad Hosseini (J. Intell. Robotic Syst., 2024)

Stereo-RSSF: stereo robust sparse scene-flow estimation. - Erfan Salehi; Ali Aghagolzadeh; Reshad Hosseini (Vis. Comput., 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 001 (IEEE Embed. Syst. Lett., 2024)

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)

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)

Water Flow Detection Device Based on Sound Data Analysis and Machine Learning to Detect Water Leakage. - Hossein Pourmehrani; Reshad Hosseini; Hadi Moradi (CoRR, 2025)

Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections. - Alireza Salehi; Mohammadreza Salehi; Reshad Hosseini; Cees G. M. Snoek; Makoto Yamada; Mohammad Sabokrou (CoRR, 2025)

Out-of-distribution detection using normalizing flows on the data manifold. - Seyedeh Fatemeh Razavi; Mohammad Mahdi Mehmanchi; Reshad Hosseini; Mostafa Tavassolipour (Appl. Intell., 2025)

Enhancing Interpretability of Sparse Latent Representations with Class Information. - Farshad Sangari Abiz; Reshad Hosseini; Babak Nadjar Araabi (CoRR, 2025)