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ORCIDMehrtash Harandi
Mehrtash Tafazzoli Harandi
Person information
- affiliation: Monash University, Clayton, VIC, Australia
- affiliation (2013 - 2018): Australian National University, Canberra, ACT, Australia
- affiliation (PhD 2009): University of Tehran, Iran
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2020 – today
- 2022
[i63]Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task. CoRR abs/2201.03777 (2022)- 2021
- [j26]Yan Han, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
:
Discrepant collaborative training by Sinkhorn divergences. Image Vis. Comput. 112: 104213 (2021) - [j25]Jing Zhang, Yuchao Dai, Tong Zhang, Mehrtash Harandi, Nick Barnes, Richard Hartley:
Learning Saliency From Single Noisy Labelling: A Robust Model Fitting Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2866-2873 (2021) - [j24]Sentao Chen, Mehrtash Harandi, Xiaona Jin, Xiaowei Yang:
Semi-Supervised Domain Adaptation via Asymmetric Joint Distribution Matching. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5708-5722 (2021) - [c78]Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar:
Semi-Supervised Metric Learning: A Deep Resurrection. AAAI 2021: 7279-7287 - [c77]Xiaomeng Fan, Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi:
Learning a Gradient-free Riemannian Optimizer on Tangent Spaces. AAAI 2021: 7377-7384 - [c76]Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson:
Reinforced Attention for Few-Shot Learning and Beyond. CVPR 2021: 913-923 - [c75]Christian Simon, Piotr Koniusz, Mehrtash Harandi:
On Learning the Geodesic Path for Incremental Learning. CVPR 2021: 1591-1600 - [c74]Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi:
Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning. CVPR 2021: 2534-2543 - [c73]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
Plastic and Stable Gated Classifiers for Continual Learning. CVPR Workshops 2021: 3553-3558 - [c72]Tianyu Zhu, Mehrtash Harandi, Rongkai Ma, Tom Drummond:
Learning Online for Unified Segmentation and Tracking Models. IJCNN 2021: 1-8 - [c71]Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Duo-SegNet: Adversarial Dual-Views for Semi-supervised Medical Image Segmentation. MICCAI (2) 2021: 428-438 - [c70]Pengfei Fang, Pan Ji, Lars Petersson, Mehrtash Harandi:
Set Augmented Triplet Loss for Video Person Re-Identification. WACV 2021: 464-473 - [i62]Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Mehrtash Harandi, Tom Drummond, Tongliang Liu, Zongyuan Ge:
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation. CoRR abs/2103.00528 (2021) - [i61]Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi:
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning. CoRR abs/2103.04059 (2021) - [i60]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
Learning to Continually Learn Rapidly from Few and Noisy Data. CoRR abs/2103.04066 (2021) - [i59]Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson:
Reinforced Attention for Few-Shot Learning and Beyond. CoRR abs/2104.04192 (2021) - [i58]Anoop Cherian, Panagiotis Stanitsas, Jue Wang, Mehrtash Harandi, Vassilios Morellas, Nikolaos Papanikolopoulos:
Learning Log-Determinant Divergences for Positive Definite Matrices. CoRR abs/2104.06461 (2021) - [i57]Christian Simon, Piotr Koniusz, Mehrtash Harandi:
On Learning the Geodesic Path for Incremental Learning. CoRR abs/2104.08572 (2021) - [i56]Jing Wu, Mingyi Zhou, Ce Zhu, Yipeng Liu, Mehrtash Harandi, Li Li:
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions. CoRR abs/2104.11103 (2021) - [i55]Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar:
Semi-Supervised Metric Learning: A Deep Resurrection. CoRR abs/2105.05061 (2021) - [i54]Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation. CoRR abs/2108.11154 (2021) - [i53]Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi:
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks. CoRR abs/2109.09300 (2021) - [i52]Jing Zhang, Yuchao Dai, Mochu Xiang, Deng-Ping Fan, Peyman Moghadam, Mingyi He, Christian Walder, Kaihao Zhang, Mehrtash Harandi, Nick Barnes:
Dense Uncertainty Estimation. CoRR abs/2110.06427 (2021) - [i51]Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi:
Towards a Robust Differentiable Architecture Search under Label Noise. CoRR abs/2110.12197 (2021) - [i50]Christian Simon, Piotr Koniusz, Mehrtash Harandi:
Meta-Learning for Multi-Label Few-Shot Classification. CoRR abs/2110.13494 (2021) - [i49]Tianyu Zhu, Rongkai Ma, Mehrtash Harandi, Tom Drummond:
Learning Online for Unified Segmentation and Tracking Models. CoRR abs/2111.06994 (2021) - [i48]Jing Zhang, Yuchao Dai, Mehrtash Harandi, Yiran Zhong, Nick Barnes, Richard Hartley:
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model. CoRR abs/2111.11055 (2021) - [i47]Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
A Volumetric Transformer for Accurate 3D Tumor Segmentation. CoRR abs/2111.13300 (2021) - [i46]Rongkai Ma, Pengfei Fang, Tom Drummond, Mehrtash Harandi:
Adaptive Poincaré Point to Set Distance for Few-Shot Classification. CoRR abs/2112.01719 (2021) - [i45]Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tom Drummond, Mehrtash Harandi:
Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning. CoRR abs/2112.03494 (2021) - 2020
- [j23]Jieming Zhou, Soumava Kumar Roy, Pengfei Fang, Mehrtash Harandi, Lars Petersson:
Cross-Correlated Attention Networks for Person Re-Identification. Image Vis. Comput. 100: 103931 (2020) - [j22]Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar:
Unsupervised Deep Metric Learning via Orthogonality Based Probabilistic Loss. IEEE Trans. Artif. Intell. 1(1): 74-84 (2020) - [j21]Sentao Chen, Mehrtash Harandi, Xiaona Jin, Xiaowei Yang:
Domain Adaptation by Joint Distribution Invariant Projections. IEEE Trans. Image Process. 29: 8264-8277 (2020) - [j20]Zhi Gao, Yuwei Wu, Mehrtash Harandi, Yunde Jia:
A Robust Distance Measure for Similarity-Based Classification on the SPD Manifold. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3230-3244 (2020) - [c69]Ujjal Kr Dutta, Mehrtash Harandi, C. Chandra Sekhar:
Unsupervised Metric Learning with Synthetic Examples. AAAI 2020: 3834-3841 - [c68]Zhi Gao, Yuwei Wu, Xiaoxun Zhang, Jindou Dai, Yunde Jia, Mehrtash Harandi:
Revisiting Bilinear Pooling: A Coding Perspective. AAAI 2020: 3954-3961 - [c67]Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson, Mehrtash Harandi:
Channel Recurrent Attention Networks for Video Pedestrian Retrieval. ACCV (6) 2020: 427-443 - [c66]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
M2SGD: Learning to Learn Important Weights. CVPR Workshops 2020: 957-964 - [c65]Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi:
Adaptive Subspaces for Few-Shot Learning. CVPR 2020: 4135-4144 - [c64]Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi:
Learning to Optimize on SPD Manifolds. CVPR 2020: 7697-7706 - [c63]Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi:
On Modulating the Gradient for Meta-learning. ECCV (8) 2020: 556-572 - [c62]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
An Input Residual Connection for Simplifying Gated Recurrent Neural Networks. IJCNN 2020: 1-8 - [c61]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Hongdong Li, Tom Drummond, Zongyuan Ge:
Hierarchical Neural Architecture Search for Deep Stereo Matching. NeurIPS 2020 - [c60]Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr:
Devon: Deformable Volume Network for Learning Optical Flow. WACV 2020: 2694-2702 - [c59]Yan Han, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi:
Learning from Noisy Labels via Discrepant Collaborative Training. WACV 2020: 3158-3167 - [i44]Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar:
Affinity guided Geometric Semi-Supervised Metric Learning. CoRR abs/2002.12394 (2020) - [i43]Lie Ju, Xin Wang, Quan Zhou, Hu Zhu, Mehrtash Harandi, C. Paul Bonnington, Tom Drummond, Zongyuan Ge:
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation. CoRR abs/2003.10042 (2020) - [i42]Jieming Zhou, Soumava Kumar Roy, Pengfei Fang, Mehrtash Harandi, Lars Petersson:
Cross-Correlated Attention Networks for Person Re-Identification. CoRR abs/2006.09597 (2020) - [i41]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
MTL2L: A Context Aware Neural Optimiser. CoRR abs/2007.09343 (2020) - [i40]Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar:
Unsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss. CoRR abs/2008.09880 (2020) - [i39]Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson, Mehrtash Harandi:
Channel Recurrent Attention Networks for Video Pedestrian Retrieval. CoRR abs/2010.03108 (2020) - [i38]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Tom Drummond, Hongdong Li, Zongyuan Ge:
Hierarchical Neural Architecture Search for Deep Stereo Matching. CoRR abs/2010.13501 (2020) - [i37]Pengfei Fang, Pan Ji, Lars Petersson, Mehrtash Harandi:
Set Augmented Triplet Loss for Video Person Re-Identification. CoRR abs/2011.00774 (2020) - [i36]Jing Zhang, Yuchao Dai, Xin Yu, Mehrtash Harandi, Nick Barnes, Richard I. Hartley:
Uncertainty-Aware Deep Calibrated Salient Object Detection. CoRR abs/2012.06020 (2020)
2010 – 2019
- 2019
- [j19]Samitha Herath, Basura Fernando, Mehrtash Harandi:
Using temporal information for recognizing actions from still images. Pattern Recognit. 96 (2019) - [j18]Wen-bing Huang, Lijie Fan, Mehrtash Harandi, Lin Ma, Huaping Liu, Wei Liu, Chuang Gan:
Toward Efficient Action Recognition: Principal Backpropagation for Training Two-Stream Networks. IEEE Trans. Image Process. 28(4): 1773-1782 (2019) - [c58]Samitha Herath, Mehrtash Harandi, Basura Fernando, Richard Nock:
Min-Max Statistical Alignment for Transfer Learning. CVPR 2019: 9288-9297 - [c57]Soumava Kumar Roy, Mehrtash Harandi, Richard Nock, Richard I. Hartley:
Siamese Networks: The Tale of Two Manifolds. ICCV 2019: 3046-3055 - [c56]Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi:
Bilinear Attention Networks for Person Retrieval. ICCV 2019: 8029-8038 - [c55]Tong Zhang, Pan Ji, Mehrtash Harandi, Wen-bing Huang, Hongdong Li:
Neural Collaborative Subspace Clustering. ICML 2019: 7384-7393 - [i35]Tong Zhang, Pan Ji, Mehrtash Harandi, Wen-bing Huang, Hongdong Li:
Neural Collaborative Subspace Clustering. CoRR abs/1904.10596 (2019) - [i34]Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar:
A Probabilistic approach for Learning Embeddings without Supervision. CoRR abs/1912.08275 (2019) - 2018
- [j17]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley:
Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 48-62 (2018) - [j16]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Porikli:
Large-Scale Metric Learning: A Voyage From Shallow to Deep. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4339-4346 (2018) - [j15]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Porikli:
A Comprehensive Look at Coding Techniques on Riemannian Manifolds. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5701-5712 (2018) - [c54]Tong Zhang, Pan Ji, Mehrtash Harandi, Richard I. Hartley, Ian D. Reid:
Scalable Deep k-Subspace Clustering. ACCV (5) 2018: 466-481 - [c53]Soumava Kumar Roy, Zakaria Mhammedi, Mehrtash Harandi:
Geometry Aware Constrained Optimization Techniques for Deep Learning. CVPR 2018: 4460-4469 - [c52]Jing Zhang, Tong Zhang, Yuchao Dai, Mehrtash Harandi, Richard I. Hartley:
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective. CVPR 2018: 9029-9038 - [c51]Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr:
Devon: Deformable Volume Network for Learning Optical Flow. ECCV Workshops (6) 2018: 673-677 - [c50]Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Tafazzoli Harandi, Fatih Porikli, Rui Zhang:
Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond. ECCV (16) 2018: 815-833 - [i33]Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Tafazzoli Harandi, Fatih Porikli, Rui Zhang:
Museum Exhibit Identification Challenge for Domain Adaptation and Beyond. CoRR abs/1802.01093 (2018) - [i32]Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr:
Devon: Deformable Volume Network for Learning Optical Flow. CoRR abs/1802.07351 (2018) - [i31]Jing Zhang, Tong Zhang, Yuchao Dai, Mehrtash Harandi, Richard I. Hartley:
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective. CoRR abs/1803.10910 (2018) - [i30]Yao Lu, Mehrtash Harandi, Richard I. Hartley, Razvan Pascanu:
Block Mean Approximation for Efficient Second Order Optimization. CoRR abs/1804.05484 (2018) - [i29]Tong Zhang, Pan Ji, Mehrtash Harandi, Richard I. Hartley, Ian D. Reid:
Scalable Deep k-Subspace Clustering. CoRR abs/1811.01045 (2018) - 2017
- [j14]Samitha Herath, Mehrtash Tafazzoli Harandi, Fatih Porikli:
Going deeper into action recognition: A survey. Image Vis. Comput. 60: 4-21 (2017) - [j13]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Porikli:
No fuss metric learning, a Hilbert space scenario. Pattern Recognit. Lett. 98: 83-89 (2017) - [c49]Anoop Cherian, Basura Fernando, Mehrtash Harandi, Stephen Gould:
Generalized Rank Pooling for Activity Recognition. CVPR 2017: 1581-1590 - [c48]Samitha Herath, Mehrtash Tafazzoli Harandi, Fatih Porikli:
Learning an Invariant Hilbert Space for Domain Adaptation. CVPR 2017: 3956-3965 - [c47]Soumava Kumar Roy, Mehrtash Harandi:
Constrained Stochastic Gradient Descent: The Good Practice. DICTA 2017: 1-8 - [c46]Anoop Cherian, Panagiotis Stanitsas, Mehrtash Harandi, Vassilios Morellas, Nikos Papanikolopoulos:
Learning Discriminative αβ-Divergences for Positive Definite Matrices. ICCV 2017: 4280-4289 - [c45]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley:
Joint Dimensionality Reduction and Metric Learning: A Geometric Take. ICML 2017: 1404-1413 - [c44]Wen-bing Huang, Mehrtash Harandi, Tong Zhang, Lijie Fan, Fuchun Sun, Junzhou Huang:
Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding. NIPS 2017: 3444-3454 - [p1]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Mathieu Salzmann:
Learning Domain Invariant Embeddings by Matching Distributions. Domain Adaptation in Computer Vision Applications 2017: 95-114 - [i28]Anoop Cherian, Basura Fernando, Mehrtash Harandi, Stephen Gould:
Generalized Rank Pooling for Activity Recognition. CoRR abs/1704.02112 (2017) - [i27]Anoop Cherian, Panagiotis Stanitsas, Mehrtash Harandi, Vassilios Morellas, Nikolaos Papanikolopoulos:
Learning Discriminative Alpha-Beta-divergence for Positive Definite Matrices (Extended Version). CoRR abs/1708.01741 (2017) - 2016
- [j12]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Mathieu Salzmann:
Distribution-Matching Embedding for Visual Domain Adaptation. J. Mach. Learn. Res. 17: 108:1-108:30 (2016) - [j11]Mehrtash Harandi, Brian C. Lovell, Gennaro Percannella, Alessia Saggese, Mario Vento, Arnold Wiliem:
Executable thematic special issue on pattern recognition techniques for indirect immunofluorescence images analysis. Pattern Recognit. Lett. 82: 1-2 (2016) - [j10]Mehrtash Tafazzoli Harandi, Richard I. Hartley, Brian C. Lovell, Conrad Sanderson:
Sparse Coding on Symmetric Positive Definite Manifolds Using Bregman Divergences. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1294-1306 (2016) - [c43]Wen-bing Huang, Fuchun Sun, Le-le Cao, Deli Zhao, Huaping Liu, Mehrtash Harandi:
Sparse Coding and Dictionary Learning with Linear Dynamical Systems. CVPR 2016: 3938-3947 - [c42]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Porikli:
When VLAD Met Hilbert. CVPR 2016: 5185-5194 - [c41]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Porikli:
Image set classification by symmetric positive semi-definite matrices. WACV 2016: 1-8 - [i26]Samitha Herath, Mehrtash Tafazzoli Harandi, Fatih Porikli:
Going Deeper into Action Recognition: A Survey. CoRR abs/1605.04988 (2016) - [i25]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley:
Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods. CoRR abs/1605.06182 (2016) - [i24]Wen-bing Huang, Fuchun Sun, Le-le Cao, Mehrtash Harandi:
Analyzing Linear Dynamical Systems: From Modeling to Coding and Learning. CoRR abs/1608.01059 (2016) - [i23]Mehrtash Harandi, Basura Fernando:
Generalized BackPropagation, Étude De Cas: Orthogonality. CoRR abs/1611.05927 (2016) - [i22]Samitha Herath, Mehrtash Tafazzoli Harandi, Fatih Porikli:
Learning an Invariant Hilbert Space for Domain Adaptation. CoRR abs/1611.08350 (2016) - 2015
- [j9]Mehrtash Tafazzoli Harandi, Richard I. Hartley, Chunhua Shen, Brian C. Lovell, Conrad Sanderson:
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds. Int. J. Comput. Vis. 114(2-3): 113-136 (2015) - [j8]Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 37(12): 2464-2477 (2015) - [j7]Ali Emami, Mehrtash Tafazzoli Harandi, Farhad Dadgostar, Brian C. Lovell:
Novelty detection in human tracking based on spatiotemporal oriented energies. Pattern Recognit. 48(3): 812-826 (2015) - [c40]Shengping Zhang, Shiva Prasad Kasiviswanathan, Pong C. Yuen, Mehrtash Harandi:
Online Dictionary Learning on Symmetric Positive Definite Manifolds with Vision Applications. AAAI 2015: 3165-3173 - [c39]Mehrtash Tafazzoli Harandi, Mathieu Salzmann:
Riemannian coding and dictionary learning: Kernels to the rescue. CVPR 2015: 3926-3935 - [c38]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Murat Porikli:
More about VLAD: A leap from Euclidean to Riemannian manifolds. CVPR 2015: 4951-4960 - [c37]Sareh Abolahrari Shirazi, Conrad Sanderson, Chris McCool, Mehrtash Tafazzoli Harandi:
Bags of Affine Subspaces for Robust Object Tracking. DICTA 2015: 1-7 - [c36]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Murat Porikli:
Approximate infinite-dimensional Region Covariance Descriptors for image classification. ICASSP 2015: 1364-1368 - [c35]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh:
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs. ICCV 2015: 4112-4120 - [c34]Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Murat Porikli:
Material Classification on Symmetric Positive Definite Manifolds. WACV 2015: 749-756 - [i21]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Porikli:
When VLAD met Hilbert. CoRR abs/1507.08373 (2015) - [i20]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh:
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs. CoRR abs/1507.08711 (2015) - 2014
- [j6]Yongkang Wong, Mehrtash Tafazzoli Harandi, Conrad Sanderson:
On robust face recognition via sparse coding: the good, the bad and the ugly. IET Biom. 3(4): 176-189 (2014) - [j5]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann:
Discriminative Non-Linear Stationary Subspace Analysis for Video Classification. IEEE Trans. Pattern Anal. Mach. Intell. 36(12): 2353-2366 (2014) - [j4]Masoud Faraki, Mehrtash Tafazzoli Harandi, Arnold Wiliem, Brian C. Lovell:
Fisher tensors for classifying human epithelial cells. Pattern Recognit. 47(7): 2348-2359 (2014) - [c33]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Murat Porikli:
Bregman Divergences for Infinite Dimensional Covariance Matrices. CVPR 2014: 1003-1010 - [c32]Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Mathieu Salzmann:
Domain Adaptation on the Statistical Manifold. CVPR 2014: 2481-2488 - [c31]Sadeep Jayasumana, Richard I. Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Tafazzoli Harandi:
Optimizing over Radial Kernels on Compact Manifolds. CVPR 2014: 3802-3809 - [c30]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley:
From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices. ECCV (2) 2014: 17-32 - [c29]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Sadeep Jayasumana, Richard I. Hartley, Hongdong Li:
Expanding the Family of Grassmannian Kernels: An Embedding Perspective. ECCV (7) 2014: 408-423 - [c28]Sareh Abolahrari Shirazi, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Conrad Sanderson:
Object tracking via non-Euclidean geometry: A Grassmann approach. WACV 2014: 901-908 - [i19]Mehrtash Tafazzoli Harandi, Richard I. Hartley, Chunhua Shen, Brian C. Lovell, Conrad Sanderson:
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds. CoRR abs/1401.8126 (2014) - [i18]Sareh Abolahrari Shirazi, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Conrad Sanderson:
Object Tracking via Non-Euclidean Geometry: A Grassmann Approach. CoRR abs/1403.0309 (2014) - [i17]Azadeh Alavi, Yan Yang, Mehrtash Tafazzoli Harandi, Conrad Sanderson:
Multi-Shot Person Re-Identification via Relational Stein Divergence. CoRR abs/1403.0699 (2014) - [i16]Andres Sanin, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell:
K-Tangent Spaces on Riemannian Manifolds for Improved Pedestrian Detection. CoRR abs/1403.1056 (2014) - [i15]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Fatih Porikli:
Bregman Divergences for Infinite Dimensional Covariance Matrices. CoRR abs/1403.4334 (2014) - [i14]Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Richard I. Hartley:
From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices. CoRR abs/1407.1120 (2014) - [i13]