Mehrtash Tafazzoli Harandi

发表

Spatio-temporal covariance descriptors for action and gesture recognition

Brian C. Lovell, Andres Sanin, Conrad Sanderson, 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).

Directed Random Subspace Method for Face Recognition

Majid Nili Ahmadabadi, Babak Nadjar Araabi, Brian C. Lovell, 2010, 2010 20th International Conference on Pattern Recognition.

Optimal Local Basis: A Reinforcement Learning Approach for Face Recognition

Majid Nili Ahmadabadi, Babak Nadjar Araabi, Mehrtash Tafazzoli Harandi, 2009, International Journal of Computer Vision.

From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices pdf

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley, 2014, ECCV.

K-tangent spaces on Riemannian manifolds for improved pedestrian detection

Brian C. Lovell, Andres Sanin, Conrad Sanderson, 2014, 2012 19th IEEE International Conference on Image Processing.

Image-set face recognition based on transductive learning

Brian C. Lovell, Mehrtash Tafazzoli Harandi, Abbas Bigdeli, 2010, 2010 IEEE International Conference on Image Processing.

Domain Adaptation on the Statistical Manifold

Brian C. Lovell, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Sparse Coding on Symmetric Positive Definite Manifolds Using Bregman Divergences

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Image set classification by symmetric positive semi-definite matrices

Mehrtash Tafazzoli Harandi, Fatih Murat Porikli, Masoud Faraki, 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).

Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2011, CVPR 2011.

Multi-shot person re-identification via relational Stein divergence

Yan Yang, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2013, 2013 IEEE International Conference on Image Processing.

Bags of Affine Subspaces for Robust Object Tracking

Conrad Sanderson, Mehrtash Tafazzoli Harandi, Chris McCool, 2014, 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices

Hongdong Li, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Optimizing over Radial Kernels on Compact Manifolds

Hongdong Li, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Relational divergence based classification on Riemannian manifolds

Conrad Sanderson, Mehrtash Tafazzoli Harandi, Azadeh Alavi, 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).

When VLAD Met Hilbert

Mehrtash Tafazzoli Harandi, Fatih Murat Porikli, Mathieu Salzmann, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Mahsa Baktash, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Learning an Invariant Hilbert Space for Domain Adaptation

Mehrtash Tafazzoli Harandi, Fatih Murat Porikli, Samitha Herath, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2013, 2013 IEEE International Conference on Computer Vision.

Object tracking via non-Euclidean geometry: A Grassmann approach

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2014, IEEE Winter Conference on Applications of Computer Vision.

Face recognition using reinforcement learning

Majid Nili Ahmadabadi, Babak Nadjar Araabi, Mehrtash Tafazzoli Harandi, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

A Framework for Shape Analysis via Hilbert Space Embedding

Hongdong Li, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2013, 2013 IEEE International Conference on Computer Vision.

Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2014, International Journal of Computer Vision.

A SVM-based method for face recognition using a wavelet PCA representation of faces

Babak Nadjar Araabi, Mehrtash Tafazzoli Harandi, Majid Safari, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

On robust face recognition via sparse coding: the good, the bad and the ugly

Yongkang Wong, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2013, IET Biom..

Discriminative Non-Linear Stationary Subspace Analysis for Video Classification

Brian C. Lovell, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning Domain Invariant Embeddings by Matching Distributions

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Mahsa Baktash, 2017, Domain Adaptation in Computer Vision Applications.

Going deeper into action recognition: A survey

Mehrtash Tafazzoli Harandi, Fatih Murat Porikli, Samitha Herath, 2016, Image Vis. Comput..

Fisher tensors for classifying human epithelial cells

Brian C. Lovell, Arnold Wiliem, Mehrtash Tafazzoli Harandi, 2014, Pattern Recognit..

Expanding the Family of Grassmannian Kernels: An Embedding Perspective

Hongdong Li, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2014, ECCV.

Low bitrate image compression using self-organized Kohonen maps

Mehrtash Tafazzoli Harandi, Mohammad Gharavi-Alkhansari, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Museum Exhibit Identification Challenge for Domain Adaptation and Beyond pdf

Rui Zhang, Mehrtash Tafazzoli Harandi, Fatih Murat Porikli, 2018, ArXiv.

Kernel Coding: General Formulation and Special Cases pdf

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, M. Salzmann, 2014, ArXiv.

Novelty detection in human tracking based on spatiotemporal oriented energies

Brian C. Lovell, Mehrtash Tafazzoli Harandi, Ali Emami, 2015, Pattern Recognit..

Joint Dimensionality Reduction and Metric Learning: A Geometric Take

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley, 2017, ICML.

On robust face recognition via sparse coding: the good, the bad and the ugly pdf

Yongkang Wong, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2013, IET Biom..

On robust biometric identity verification via sparse encoding of faces: Holistic vs local approaches

Yongkang Wong, Brian C. Lovell, Conrad Sanderson, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

More about VLAD: A leap from Euclidean to Riemannian manifolds

Mehrtash Tafazzoli Harandi, Fatih Murat Porikli, Masoud Faraki, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

No fuss metric learning, a Hilbert space scenario

Mehrtash Tafazzoli Harandi, Fatih Murat Porikli, Masoud Faraki, 2017, Pattern Recognit. Lett..

Kernel analysis on Grassmann manifolds for action recognition

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2013, Pattern Recognit. Lett..

Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Distribution-Matching Embedding for Visual Domain Adaptation

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Mahsa Baktash, 2016, J. Mach. Learn. Res..

Non-Linear Stationary Subspace Analysis with Application to Video Classification

Brian C. Lovell, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2013, ICML.

A hybrid model for face recognition using facial components

Majid Nili Ahmadabadi, Babak Nadjar Araabi, Mehrtash Tafazzoli Harandi, 2007, 2007 9th International Symposium on Signal Processing and Its Applications.

Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond

Rui Zhang, Mehrtash Tafazzoli Harandi, Fatih Murat Porikli, 2018, ECCV.

Approximate infinite-dimensional Region Covariance Descriptors for image classification

Mehrtash Tafazzoli Harandi, Fatih Murat Porikli, Masoud Faraki, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures

Brian C. Lovell, Arnold Wiliem, Conrad Sanderson, 2012, 2012 IEEE Workshop on the Applications of Computer Vision (WACV).

Material Classification on Symmetric Positive Definite Manifolds

Mehrtash Tafazzoli Harandi, Fatih Murat Porikli, Masoud Faraki, 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

Clustering on Grassmann manifolds via kernel embedding with application to action analysis

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2012, 2012 19th IEEE International Conference on Image Processing.

Impulse noise removal based on long-range correlation in an image

Babak Nadjar Araabi, Mehrtash Tafazzoli Harandi, 2003, 10th IEEE International Conference on Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003.

Face Recognition from Still Images to Video Sequences: A Local-Feature-Based Framework

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2011, EURASIP J. Image Video Process..

Directional Space-Time Oriented Gradients for 3D Visual Pattern Analysis

Brian C. Lovell, Mehrtash Tafazzoli Harandi, Adam Postula, 2012, ECCV.

Riemannian coding and dictionary learning: Kernels to the rescue

Mehrtash Tafazzoli Harandi, Mathieu Salzmann, M. Salzmann, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A Hierarchical Face Identification System Based on Facial Components

Majid Nili Ahmadabadi, Babak Nadjar Araabi, Mehrtash Tafazzoli Harandi, 2007, 2007 IEEE/ACS International Conference on Computer Systems and Applications.

Bregman Divergences for Infinite Dimensional Covariance Matrices

Mehrtash Tafazzoli Harandi, Fatih Murat Porikli, Mathieu Salzmann, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels

Hongdong Li, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Ensemble of furthest subspace pairs for enhanced image set matching

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2011, 2011 18th IEEE International Conference on Image Processing.

Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2012, ECCV.

Combining Multiple Manifold-Valued Descriptors for Improved Object Recognition

Hongdong Li, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2013, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Unsupervised Domain Adaptation by Domain Invariant Projection

Brian C. Lovell, Mehrtash Tafazzoli Harandi, Mathieu Salzmann, 2013, 2013 IEEE International Conference on Computer Vision.

Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification

Yongkang Wong, Brian C. Lovell, Conrad Sanderson, 2012, 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance.