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ORCIDReshad Hosseini
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2020 – today
- 2025
[j21]Milad Ghorbani, Reshad Hosseini, Seyed Pooya Shariatpanahi, Majid Nili Ahmadabadi:
Learning from different perspectives for regret reduction in reinforcement learning: A free energy approach. Neurocomputing 614: 128797 (2025)- [j20]Mohammad Mahdi Afrasiabi
, Reshad Hosseini, Aliazam Abbasfar:
A novel theoretical analysis on optimal pipeline of multi-frame image super-resolution using sparse coding. Signal Process. Image Commun. 130: 117198 (2025) - 2024
- [j19]Seyedeh Fatemeh Razavi, Reshad Hosseini, Tina Behzad:
FRMDN: Flow-based Recurrent Mixture Density Network. Expert Syst. Appl. 237(Part A): 121360 (2024) - [j18]Erfan Salehi, Ali Aghagolzadeh, Reshad Hosseini:
Stereo-RIVO: Stereo-Robust Indirect Visual Odometry. J. Intell. Robotic Syst. 110(3): 102 (2024) - [j17]Mohammad Pasande, Reshad Hosseini, Babak Nadjar Araabi:
Stochastic first-order learning for large-scale flexibly tied Gaussian mixture models. Pattern Recognit. Lett. 178: 138-144 (2024) - [j16]Mohammad Hamed, Reshad Hosseini:
Riemannian Preconditioned Coordinate Descent for Low Multilinear Rank Approximation. SIAM J. Matrix Anal. Appl. 45(2): 1054-1075 (2024) - [j15]Erfan Salehi, Ali Aghagolzadeh, Reshad Hosseini:
Stereo-RSSF: stereo robust sparse scene-flow estimation. Vis. Comput. 40(9): 5901-5919 (2024) - 2023
- [j14]Seyed-Mahdi Nasiri, Reshad Hosseini, Hadi Moradi:
The optimal triangulation method is not really optimal. IET Image Process. 17(10): 2855-2865 (2023) - [j13]Mohammad Hossein Nasseri, Mohammadreza Babaee, Hadi Moradi, Reshad Hosseini:
Online relational tracking with camera motion suppression. J. Vis. Commun. Image Represent. 90: 103750 (2023) - [j12]Peyman Baghershahi, Reshad Hosseini, Hadi Moradi:
Self-attention presents low-dimensional knowledge graph embeddings for link prediction. Knowl. Based Syst. 260: 110124 (2023) - [c8]Sajjad Abdi Dehsorkh, Reshad Hosseini:
Predicting the neural response of primary visual cortex (v1) using deep learning approach. CSICC 2023: 1-6 - [i26]Mohammad Mahdi Afrasiabi, Reshad Hosseini, Aliazam Abbasfar:
Combination of Single and Multi-frame Image Super-resolution: An Analytical Perspective. CoRR abs/2303.03212 (2023) - [i25]Seyedeh Fatemeh Razavi, Mohammad Mahdi Mehmanchi, Reshad Hosseini, Mostafa Tavassolipour:
Out-of-distribution detection using normalizing flows on the data manifold. CoRR abs/2308.13792 (2023) - 2022
- [j11]Seyed-Mahdi Nasiri, Reshad Hosseini, Hadi Moradi:
Multiple-solutions RANSAC for finding axes of symmetry in fragments of objects. Pattern Recognit. 131: 108805 (2022) - [i24]Ali Karimi, Seyedeh-Zahra Mousavi Kouzehkanan, Reshad Hosseini, Hadi Asheri:
Introducing One Sided Margin Loss for Solving Classification Problems in Deep Networks. CoRR abs/2206.01002 (2022) - [i23]Seyedeh Fatemeh Razavi, Mohammad Mahdi Mehmanchi, Reshad Hosseini, Mostafa Tavassolipour:
Joint Manifold Learning and Density Estimation Using Normalizing Flows. CoRR abs/2206.03293 (2022) - [i22]Mohammad Hossein Nasseri, Mohammadreza Babaee, Hadi Moradi, Reshad Hosseini:
Fast Online and Relational Tracking. CoRR abs/2208.03659 (2022) - [i21]Mohammad Pasande, Reshad Hosseini, Babak Nadjar Araabi:
Stochastic First-Order Learning for Large-Scale Flexibly Tied Gaussian Mixture Model. CoRR abs/2212.05402 (2022) - [i20]Peyman Baghershahi, Reshad Hosseini, Hadi Moradi:
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition. CoRR abs/2212.05581 (2022) - 2021
- [j10]Hadi Asheri, Reshad Hosseini, Babak Nadjar Araabi:
A new EM algorithm for flexibly tied GMMs with large number of components. Pattern Recognit. 114: 107836 (2021) - [j9]Seyed Mehdi Nasiri, Reshad Hosseini, Hadi Moradi:
Novel Parameterization for Gauss-Newton Methods in 3-D Pose Graph Optimization. IEEE Trans. Robotics 37(3): 780-797 (2021) - [c7]Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley:
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. ACML 2021: 1-16 - [i19]Mohammad Hossein Nasseri, Hadi Moradi, Reshad Hosseini, Mohammadreza Babaee:
Simple online and real-time tracking with occlusion handling. CoRR abs/2103.04147 (2021) - [i18]Aida Khozaei, Hadi Moradi, Reshad Hosseini:
Learning with partially separable data. CoRR abs/2103.06869 (2021) - [i17]Reza Godaz, Reza Monsefi, Faezeh Toutounian, Reshad Hosseini:
Accurate and fast matrix factorization for low-rank learning. CoRR abs/2104.10785 (2021) - [i16]Seyed-Mahdi Nasiri, Reshad Hosseini, Hadi Moradi:
Optimal Triangulation Method is Not Really Optimal. CoRR abs/2107.04618 (2021) - [i15]Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley:
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. CoRR abs/2108.11019 (2021) - [i14]Seyed-Mahdi Nasiri, Reshad Hosseini, Hadi Moradi:
Solving Viewing Graph Optimization for Simultaneous Position and Rotation Registration. CoRR abs/2108.12876 (2021) - [i13]Romina Oji, Seyedeh Fatemeh Razavi, Sajjad Abdi Dehsorkh, Alireza Hariri, Hadi Asheri, Reshad Hosseini:
PerSpeechNorm: A Persian Toolkit for Speech Processing Normalization. CoRR abs/2111.03470 (2021) - [i12]Peyman Baghershahi, Reshad Hosseini, Hadi Moradi:
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction. CoRR abs/2112.10644 (2021) - 2020
- [j8]Maryam Hashemzadeh, Reshad Hosseini, Majid Nili Ahmadabadi:
Clustering subspace generalization to obtain faster reinforcement learning. Evol. Syst. 11(1): 89-103 (2020) - [j7]Yeganeh Madadi, Vahid Seydi, Kamal Nasrollahi, Reshad Hosseini, Thomas B. Moeslund:
Deep visual unsupervised domain adaptation for classification tasks: a survey. IET Image Process. 14(14): 3283-3299 (2020) - [j6]Reshad Hosseini, Suvrit Sra:
An alternative to EM for Gaussian mixture models: batch and stochastic Riemannian optimization. Math. Program. 181(1): 187-223 (2020) - [i11]Seyedeh Fatemeh Razavi, Reshad Hosseini:
FRMDN: Flow-based Recurrent Mixture Density Network. CoRR abs/2008.02144 (2020) - [i10]Seyedeh-Zahra Mousavi Kouzehkanan, Reshad Hosseini, Babak Nadjar Araabi:
Contour Integration using Graph-Cut and Non-Classical Receptive Field. CoRR abs/2010.14561 (2020) - [i9]Milad Ghorbani, Reshad Hosseini, Seyed Pooya Shariatpanahi, Majid Nili Ahmadabadi:
Reinforcement Learning with Subspaces using Free Energy Paradigm. CoRR abs/2012.07091 (2020)
2010 – 2019
- 2019
- [j5]Maryam Hashemzadeh, Reshad Hosseini, Majid Nili Ahmadabadi:
Exploiting Generalization in the Subspaces for Faster Model-Based Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1635-1650 (2019) - [i8]Taraneh Younesian, Saeed Masoudnia, Reshad Hosseini, Babak Nadjar Araabi:
Active Transfer Learning for Persian Offline Signature Verification. CoRR abs/1903.06255 (2019) - 2018
- [c6]Seyed Mehdi Nasiri, Hadi Moradi, Reshad Hosseini:
A Linear Least Square Initialization Method for 3D Pose Graph Optimization Problem. ICRA 2018: 2474-2479 - [i7]Seyed Mehdi Nasiri, Reshad Hosseini, Hadi Moradi:
A Recursive Least Square Method for 3D Pose Graph Optimization Problem. CoRR abs/1806.00281 (2018) - [i6]Pourya Habib Zadeh, Reshad Hosseini, Suvrit Sra:
Deep-RBF Networks Revisited: Robust Classification with Rejection. CoRR abs/1812.03190 (2018) - 2017
- [i5]Reshad Hosseini, Suvrit Sra:
An Alternative to EM for Gaussian Mixture Models: Batch and Stochastic Riemannian Optimization. CoRR abs/1706.03267 (2017) - [i4]Maryam Hashemzadeh, Reshad Hosseini, Majid Nili Ahmadabadi:
Exploiting generalization in the subspaces for faster model-based learning. CoRR abs/1710.08012 (2017) - 2016
- [j4]Reshad Hosseini, Suvrit Sra, Lucas Theis, Matthias Bethge:
Inference and mixture modeling with the Elliptical Gamma Distribution. Comput. Stat. Data Anal. 101: 29-43 (2016) - [j3]Pourya Zadeh, Reshad Hosseini:
Expected Logarithm of Central Quadratic Form and Its Use in KL-Divergence of Some Distributions. Entropy 18(8): 278 (2016) - [j2]Arash Mehrjou, Reshad Hosseini, Babak Nadjar Araabi:
Improved Bayesian information criterion for mixture model selection. Pattern Recognit. Lett. 69: 22-27 (2016) - [c5]Pourya Zadeh, Reshad Hosseini, Suvrit Sra:
Geometric Mean Metric Learning. ICML 2016: 2464-2471 - [i3]Pourya Zadeh, Reshad Hosseini, Suvrit Sra:
Geometric Mean Metric Learning. CoRR abs/1607.05002 (2016) - 2015
- [j1]Suvrit Sra, Reshad Hosseini:
Conic Geometric Optimization on the Manifold of Positive Definite Matrices. SIAM J. Optim. 25(1): 713-739 (2015) - [c4]Suvrit Sra, Reshad Hosseini, Lucas Theis, Matthias Bethge:
Data modeling with the elliptical gamma distribution. AISTATS 2015 - [c3]Reshad Hosseini, Suvrit Sra:
Matrix Manifold Optimization for Gaussian Mixtures. NIPS 2015: 910-918 - [i2]Reshad Hosseini, Suvrit Sra:
Manifold Optimization for Gaussian Mixture Models. CoRR abs/1506.07677 (2015) - [i1]Reshad Hosseini, Mohamadreza Mash'al:
MixEst: An Estimation Toolbox for Mixture Models. CoRR abs/1507.06065 (2015) - 2013
- [c2]Suvrit Sra, Reshad Hosseini:
Geometric optimisation on positive definite matrices for elliptically contoured distributions. NIPS 2013: 2562-2570 - 2012
- [b1]Reshad Hosseini:
Natural Image Modelling using Mixture Models with compression as an application. Berlin Institute of Technology, 2012
2000 – 2009
- 2005
- [c1]Safar Hatami, Reshad Hosseini, Mahmoud Kamarei, Hossein Ahmadi:
Wavelet based fingerprint image enhancement. ISCAS (5) 2005: 4610-4613
Coauthor Index
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