Mehrtash Harandi

According to our database1, Mehrtash Harandi authored at least 102 papers between 2003 and 2020.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2020
A Robust Distance Measure for Similarity-Based Classification on the SPD Manifold.
IEEE Trans. Neural Networks Learn. Syst., 2020

Domain Adaptation by Joint Distribution Invariant Projections.
IEEE Trans. Image Process., 2020

Cross-Correlated Attention Networks for Person Re-Identification.
Image Vis. Comput., 2020

Channel Recurrent Attention Networks for Video Pedestrian Retrieval.
CoRR, 2020

Unsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss.
CoRR, 2020

MTL2L: A Context Aware Neural Optimiser.
CoRR, 2020

Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation.
CoRR, 2020

Affinity guided Geometric Semi-Supervised Metric Learning.
CoRR, 2020

Devon: Deformable Volume Network for Learning Optical Flow.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Learning from Noisy Labels via Discrepant Collaborative Training.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

An Input Residual Connection for Simplifying Gated Recurrent Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Adaptive Subspaces for Few-Shot Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

M<sup>2</sup>SGD: Learning to Learn Important Weights.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning to Optimize on SPD Manifolds.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Revisiting Bilinear Pooling: A Coding Perspective.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Unsupervised Metric Learning with Synthetic Examples.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Toward Efficient Action Recognition: Principal Backpropagation for Training Two-Stream Networks.
IEEE Trans. Image Process., 2019

Using temporal information for recognizing actions from still images.
Pattern Recognit., 2019

A Probabilistic approach for Learning Embeddings without Supervision.
CoRR, 2019

Neural Collaborative Subspace Clustering.
Proceedings of the 36th International Conference on Machine Learning, 2019

Siamese Networks: The Tale of Two Manifolds.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Bilinear Attention Networks for Person Retrieval.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Min-Max Statistical Alignment for Transfer Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
A Comprehensive Look at Coding Techniques on Riemannian Manifolds.
IEEE Trans. Neural Networks Learn. Syst., 2018

Large-Scale Metric Learning: A Voyage From Shallow to Deep.
IEEE Trans. Neural Networks Learn. Syst., 2018

Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Block Mean Approximation for Efficient Second Order Optimization.
CoRR, 2018

Museum Exhibit Identification Challenge for Domain Adaptation and Beyond.
CoRR, 2018

Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond.
Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Geometry Aware Constrained Optimization Techniques for Deep Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Scalable Deep k-Subspace Clustering.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Learning Domain Invariant Embeddings by Matching Distributions.
Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

No fuss metric learning, a Hilbert space scenario.
Pattern Recognit. Lett., 2017

Going deeper into action recognition: A survey.
Image Vis. Comput., 2017

Learning Discriminative Alpha-Beta-divergence for Positive Definite Matrices (Extended Version).
CoRR, 2017

Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Joint Dimensionality Reduction and Metric Learning: A Geometric Take.
Proceedings of the 34th International Conference on Machine Learning, 2017

Learning Discriminative αβ-Divergences for Positive Definite Matrices.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Constrained Stochastic Gradient Descent: The Good Practice.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Learning an Invariant Hilbert Space for Domain Adaptation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Generalized Rank Pooling for Activity Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Sparse Coding on Symmetric Positive Definite Manifolds Using Bregman Divergences.
IEEE Trans. Neural Networks Learn. Syst., 2016

Executable thematic special issue on pattern recognition techniques for indirect immunofluorescence images analysis.
Pattern Recognit. Lett., 2016

Distribution-Matching Embedding for Visual Domain Adaptation.
J. Mach. Learn. Res., 2016

Analyzing Linear Dynamical Systems: From Modeling to Coding and Learning.
CoRR, 2016

Generalized BackPropagation, Étude De Cas: Orthogonality.
CoRR, 2016

Image set classification by symmetric positive semi-definite matrices.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Sparse Coding and Dictionary Learning with Linear Dynamical Systems.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

When VLAD Met Hilbert.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Novelty detection in human tracking based on spatiotemporal oriented energies.
Pattern Recognit., 2015

Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds.
Int. J. Comput. Vis., 2015

Material Classification on Symmetric Positive Definite Manifolds.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Approximate infinite-dimensional Region Covariance Descriptors for image classification.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Bags of Affine Subspaces for Robust Object Tracking.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

Riemannian coding and dictionary learning: Kernels to the rescue.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

More about VLAD: A leap from Euclidean to Riemannian manifolds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Online Dictionary Learning on Symmetric Positive Definite Manifolds with Vision Applications.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Fisher tensors for classifying human epithelial cells.
Pattern Recognit., 2014

Discriminative Non-Linear Stationary Subspace Analysis for Video Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

On robust face recognition via sparse coding: the good, the bad and the ugly.
IET Biom., 2014

Improved Object Tracking via Bags of Affine Subspaces.
CoRR, 2014

Kernel Coding: General Formulation and Special Cases.
CoRR, 2014

Object tracking via non-Euclidean geometry: A Grassmann approach.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Expanding the Family of Grassmannian Kernels: An Embedding Perspective.
Proceedings of the Computer Vision - ECCV 2014, 2014

From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices.
Proceedings of the Computer Vision - ECCV 2014, 2014

Optimizing over Radial Kernels on Compact Manifolds.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Bregman Divergences for Infinite Dimensional Covariance Matrices.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Domain Adaptation on the Statistical Manifold.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Kernel analysis on Grassmann manifolds for action recognition.
Pattern Recognit. Lett., 2013

On Robust Face Recognition via Sparse Encoding: the Good, the Bad, and the Ugly
CoRR, 2013

Spatio-temporal covariance descriptors for action and gesture recognition.
Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

Relational divergence based classification on Riemannian manifolds.
Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

Non-Linear Stationary Subspace Analysis with Application to Video Classification.
Proceedings of the 30th International Conference on Machine Learning, 2013

Multi-shot person re-identification via relational Stein divergence.
Proceedings of the IEEE International Conference on Image Processing, 2013

A Framework for Shape Analysis via Hilbert Space Embedding.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Unsupervised Domain Adaptation by Domain Invariant Projection.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Combining Multiple Manifold-Valued Descriptors for Improved Object Recognition.
Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures.
Proceedings of the IEEE Workshop on Applications of Computer Vision, 2012

On robust biometric identity verification via sparse encoding of faces: Holistic vs local approaches.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Clustering on Grassmann manifolds via kernel embedding with application to action analysis.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

K-tangent spaces on Riemannian manifolds for improved pedestrian detection.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Directional Space-Time Oriented Gradients for 3D Visual Pattern Analysis.
Proceedings of the Computer Vision - ECCV 2012, 2012

Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach.
Proceedings of the Computer Vision - ECCV 2012, 2012

Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification.
Proceedings of the Ninth IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2012

2011
Face Recognition from Still Images to Video Sequences: A Local-Feature-Based Framework.
EURASIP J. Image Video Process., 2011

Ensemble of furthest subspace pairs for enhanced image set matching.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Directed Random Subspace Method for Face Recognition.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Image-set face recognition based on transductive learning.
Proceedings of the International Conference on Image Processing, 2010

2009
Optimal Local Basis: A Reinforcement Learning Approach for Face Recognition.
Int. J. Comput. Vis., 2009

2007
A hybrid model for face recognition using facial components.
Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

A Hierarchical Face Identification System Based on Facial Components.
Proceedings of the 2007 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2007), 2007

2004
A SVM-based method for face recognition using a wavelet PCA representation of faces.
Proceedings of the 2004 International Conference on Image Processing, 2004

Face recognition using reinforcement learning.
Proceedings of the 2004 International Conference on Image Processing, 2004

2003
Low bitrate image compression using self-organized Kohonen maps.
Proceedings of the 2003 International Conference on Image Processing, 2003

Impulse noise removal based on long-range correlation in an image.
Proceedings of the 2003 10th IEEE International Conference on Electronics, 2003


  Loading...