Impulse noise removal based on long-range correlation in an image. - Mehrtash Tafazzoli Harandi; Babak Nadjar Araabi (ICECS, 2003)

Low bitrate image compression using self-organized Kohonen maps. - Mehrtash Tafazzoli Harandi; Mohammad Gharavi-Alkhansari (ICIP (2), 2003)

Face recognition using reinforcement learning. - Mehrtash Tafazzoli Harandi; Majid Nili Ahmadabadi; Babak Nadjar Araabi (ICIP, 2004)

A SVM-based method for face recognition using a wavelet PCA representation of faces. - Majid Safari; Mehrtash Tafazzoli Harandi; Babak Nadjar Araabi (ICIP, 2004)

A Hierarchical Face Identification System Based on Facial Components. - Mehrtash Tafazzoli Harandi; Majid Nili Ahmadabadi; Babak Nadjar Araabi (AICCSA, 2007)

A hybrid model for face recognition using facial components. - Mehrtash Tafazzoli Harandi; Majid Nili Ahmadabadi; Babak Nadjar Araabi (ISSPA, 2007)

Optimal Local Basis: A Reinforcement Learning Approach for Face Recognition. - Mehrtash Tafazzoli Harandi; Majid Nili Ahmadabadi; Babak Nadjar Araabi (Int. J. Comput. Vis., 2009)

Image-set face recognition based on transductive learning. - Mehrtash Tafazzoli Harandi; Abbas Bigdeli; Brian C. Lovell (ICIP, 2010)

Directed Random Subspace Method for Face Recognition. - Mehrtash Tafazzoli Harandi; Majid Nili Ahmadabadi; Babak Nadjar Araabi; Abbas Bigdeli; Brian C. Lovell (ICPR, 2010)

Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching. - Mehrtash Tafazzoli Harandi; Conrad Sanderson; Sareh Abolahrari Shirazi; Brian C. Lovell (CVPR, 2011)

Ensemble of furthest subspace pairs for enhanced image set matching. - Mehrtash Tafazzoli Harandi; Conrad Sanderson; Abbas Bigdeli; Brian C. Lovell (ICIP, 2011)

Face Recognition from Still Images to Video Sequences: A Local-Feature-Based Framework. - Shaokang Chen; Sandra Mau; Mehrtash Tafazzoli Harandi; Conrad Sanderson; Abbas Bigdeli; Brian C. Lovell (EURASIP J. Image Video Process., 2011)

Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification. - Conrad Sanderson; Mehrtash Tafazzoli Harandi; Yongkang Wong; Brian C. Lovell (AVSS, 2012)

Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach. - Mehrtash Tafazzoli Harandi; Conrad Sanderson; Richard I. Hartley; Brian C. Lovell (ECCV (2), 2012)

Directional Space-Time Oriented Gradients for 3D Visual Pattern Analysis. - Ehsan Norouznezhad; Mehrtash Tafazzoli Harandi; Abbas Bigdeli; Mahsa Baktash; Adam Postula; Brian C. Lovell (ECCV (3), 2012)

K-tangent spaces on Riemannian manifolds for improved pedestrian detection. - Andres Sanin; Conrad Sanderson; Mehrtash Tafazzoli Harandi; Brian C. Lovell (ICIP, 2012)

Clustering on Grassmann manifolds via kernel embedding with application to action analysis. - Sareh Abolahrari Shirazi; Mehrtash Tafazzoli Harandi; Conrad Sanderson; Azadeh Alavi; Brian C. Lovell (ICIP, 2012)

On robust biometric identity verification via sparse encoding of faces: Holistic vs local approaches. - Yongkang Wong; Mehrtash Tafazzoli Harandi; Conrad Sanderson; Brian C. Lovell (IJCNN, 2012)

Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures. - Mehrtash Tafazzoli Harandi; Conrad Sanderson; Arnold Wiliem; Brian C. Lovell (WACV, 2012)

Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces. - Shaokang Chen; Conrad Sanderson; Mehrtash Tafazzoli Harandi; Brian C. Lovell (CVPR, 2013)

Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices. - Sadeep Jayasumana; Richard I. Hartley; Mathieu Salzmann; Hongdong Li; Mehrtash Tafazzoli Harandi (CVPR, 2013)

Combining Multiple Manifold-Valued Descriptors for Improved Object Recognition. - Sadeep Jayasumana; Richard I. Hartley; Mathieu Salzmann; Hongdong Li; Mehrtash Tafazzoli Harandi (DICTA, 2013)

Unsupervised Domain Adaptation by Domain Invariant Projection. - Mahsa Baktashmotlagh; Mehrtash Tafazzoli Harandi; Brian C. Lovell; Mathieu Salzmann (ICCV, 2013)

Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution. - Mehrtash Tafazzoli Harandi; Conrad Sanderson; Chunhua Shen; Brian C. Lovell (ICCV, 2013)

A Framework for Shape Analysis via Hilbert Space Embedding. - Sadeep Jayasumana; Mathieu Salzmann; Hongdong Li; Mehrtash Tafazzoli Harandi (ICCV, 2013)

Multi-shot person re-identification via relational Stein divergence. - Azadeh Alavi; Yan Yang; Mehrtash Tafazzoli Harandi; Conrad Sanderson (ICIP, 2013)

Non-Linear Stationary Subspace Analysis with Application to Video Classification. - Mahsa Baktashmotlagh; Mehrtash Tafazzoli Harandi; Abbas Bigdeli; Brian C. Lovell; Mathieu Salzmann (ICML (3), 2013)

Relational divergence based classification on Riemannian manifolds. - Azadeh Alavi; Mehrtash Tafazzoli Harandi; Conrad Sanderson (WACV, 2013)

Spatio-temporal covariance descriptors for action and gesture recognition. - Andres Sanin; Conrad Sanderson; Mehrtash Tafazzoli Harandi; Brian C. Lovell (WACV, 2013)

On Robust Face Recognition via Sparse Encoding: the Good, the Bad, and the Ugly - Yongkang Wong; Mehrtash Tafazzoli Harandi; Conrad Sanderson (CoRR, 2013)

Kernel analysis on Grassmann manifolds for action recognition. - Mehrtash Tafazzoli Harandi; Conrad Sanderson; Sareh Abolahrari Shirazi; Brian C. Lovell (Pattern Recognit. Lett., 2013)

Domain Adaptation on the Statistical Manifold. - Mahsa Baktashmotlagh; Mehrtash Tafazzoli Harandi; Brian C. Lovell; Mathieu Salzmann (CVPR, 2014)

Bregman Divergences for Infinite Dimensional Covariance Matrices. - Mehrtash Tafazzoli Harandi; Mathieu Salzmann; Fatih Murat Porikli (CVPR, 2014)

Optimizing over Radial Kernels on Compact Manifolds. - Sadeep Jayasumana; Richard I. Hartley; Mathieu Salzmann; Hongdong Li; Mehrtash Tafazzoli Harandi (CVPR, 2014)

From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices. - Mehrtash Tafazzoli Harandi; Mathieu Salzmann; Richard I. Hartley (ECCV (2), 2014)

Expanding the Family of Grassmannian Kernels: An Embedding Perspective. - Mehrtash Tafazzoli Harandi; Mathieu Salzmann; Sadeep Jayasumana; Richard I. Hartley; Hongdong Li (ECCV (7), 2014)

Object tracking via non-Euclidean geometry: A Grassmann approach. - Sareh Abolahrari Shirazi; Mehrtash Tafazzoli Harandi; Brian C. Lovell; Conrad Sanderson (WACV, 2014)

Kernel Coding: General Formulation and Special Cases. - Mehrtash Tafazzoli Harandi; Mathieu Salzmann (CoRR, 2014)

Improved Object Tracking via Bags of Affine Subspaces. - Sareh Abolahrari Shirazi; Conrad Sanderson; Chris McCool; Mehrtash Tafazzoli Harandi (CoRR, 2014)

On robust face recognition via sparse coding: the good, the bad and the ugly. - Yongkang Wong; Mehrtash Tafazzoli Harandi; Conrad Sanderson (IET Biom., 2014)

Discriminative Non-Linear Stationary Subspace Analysis for Video Classification. - Mahsa Baktashmotlagh; Mehrtash Tafazzoli Harandi; Brian C. Lovell; Mathieu Salzmann (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Fisher tensors for classifying human epithelial cells. - Masoud Faraki; Mehrtash Tafazzoli Harandi; Arnold Wiliem; Brian C. Lovell (Pattern Recognit., 2014)

Online Dictionary Learning on Symmetric Positive Definite Manifolds with Vision Applications. - Shengping Zhang; Shiva Prasad Kasiviswanathan; Pong C. Yuen; Mehrtash Harandi (AAAI, 2015)

More about VLAD: A leap from Euclidean to Riemannian manifolds. - Masoud Faraki; Mehrtash Tafazzoli Harandi; Fatih Murat Porikli (CVPR, 2015)

Riemannian coding and dictionary learning: Kernels to the rescue. - Mehrtash Tafazzoli Harandi; Mathieu Salzmann (CVPR, 2015)

Bags of Affine Subspaces for Robust Object Tracking. - Sareh Abolahrari Shirazi; Conrad Sanderson; Chris McCool; Mehrtash Tafazzoli Harandi (DICTA, 2015)

Approximate infinite-dimensional Region Covariance Descriptors for image classification. - Masoud Faraki; Mehrtash Tafazzoli Harandi; Fatih Murat Porikli (ICASSP, 2015)

Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs. - Mehrtash Tafazzoli Harandi; Mathieu Salzmann; Mahsa Baktashmotlagh (ICCV, 2015)

Material Classification on Symmetric Positive Definite Manifolds. - Masoud Faraki; Mehrtash Tafazzoli Harandi; Fatih Murat Porikli (WACV, 2015)

Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds. - Mehrtash Tafazzoli Harandi; Richard I. Hartley; Chunhua Shen; Brian C. Lovell; Conrad Sanderson (Int. J. Comput. Vis., 2015)

Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels. - Sadeep Jayasumana; Richard I. Hartley; Mathieu Salzmann; Hongdong Li; Mehrtash Tafazzoli Harandi (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Novelty detection in human tracking based on spatiotemporal oriented energies. - Ali Emami; Mehrtash Tafazzoli Harandi; Farhad Dadgostar; Brian C. Lovell (Pattern Recognit., 2015)

When VLAD Met Hilbert. - Mehrtash Tafazzoli Harandi; Mathieu Salzmann; Fatih Porikli (CVPR, 2016)

Sparse Coding and Dictionary Learning with Linear Dynamical Systems. - Wen-bing Huang 001; Fuchun Sun 001; Le-le Cao; Deli Zhao; Huaping Liu 001; Mehrtash Harandi (CVPR, 2016)

Image set classification by symmetric positive semi-definite matrices. - Masoud Faraki; Mehrtash Tafazzoli Harandi; Fatih Porikli (WACV, 2016)

Generalized BackPropagation, Étude De Cas: Orthogonality. - Mehrtash Harandi; Basura Fernando (CoRR, 2016)

Analyzing Linear Dynamical Systems: From Modeling to Coding and Learning. - Wen-bing Huang 001; Fuchun Sun 001; Le-le Cao; Mehrtash Harandi (CoRR, 2016)

Distribution-Matching Embedding for Visual Domain Adaptation. - Mahsa Baktashmotlagh; Mehrtash Tafazzoli Harandi; Mathieu Salzmann (J. Mach. Learn. Res., 2016)

Executable thematic special issue on pattern recognition techniques for indirect immunofluorescence images analysis. - Mehrtash Harandi; Brian C. Lovell; Gennaro Percannella; Alessia Saggese; Mario Vento; Arnold Wiliem (Pattern Recognit. Lett., 2016)

Sparse Coding on Symmetric Positive Definite Manifolds Using Bregman Divergences. - Mehrtash Tafazzoli Harandi; Richard I. Hartley; Brian C. Lovell; Conrad Sanderson (IEEE Trans. Neural Networks Learn. Syst., 2016)

Generalized Rank Pooling for Activity Recognition. - Anoop Cherian; Basura Fernando; Mehrtash Harandi; Stephen Gould (CVPR, 2017)

Learning an Invariant Hilbert Space for Domain Adaptation. - Samitha Herath; Mehrtash Tafazzoli Harandi; Fatih Porikli (CVPR, 2017)

Constrained Stochastic Gradient Descent: The Good Practice. - Soumava Kumar Roy; Mehrtash Harandi (DICTA, 2017)

Learning Discriminative αβ-Divergences for Positive Definite Matrices. - Anoop Cherian; Panagiotis Stanitsas; Mehrtash Harandi; Vassilios Morellas; Nikos Papanikolopoulos (ICCV, 2017)

Joint Dimensionality Reduction and Metric Learning: A Geometric Take. - Mehrtash Tafazzoli Harandi; Mathieu Salzmann; Richard I. Hartley (ICML, 2017)

Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding. - Wen-bing Huang 001; Mehrtash Harandi; Tong Zhang 023; Lijie Fan; Fuchun Sun 001; Junzhou Huang (NIPS, 2017)

Learning Discriminative Alpha-Beta-divergence for Positive Definite Matrices (Extended Version). - Anoop Cherian; Panagiotis Stanitsas; Mehrtash Harandi; Vassilios Morellas; Nikolaos Papanikolopoulos (CoRR, 2017)

Going deeper into action recognition: A survey. - Samitha Herath; Mehrtash Tafazzoli Harandi; Fatih Porikli (Image Vis. Comput., 2017)

No fuss metric learning, a Hilbert space scenario. - Masoud Faraki; Mehrtash Tafazzoli Harandi; Fatih Porikli (Pattern Recognit. Lett., 2017)

Learning Domain Invariant Embeddings by Matching Distributions. - Mahsa Baktashmotlagh; Mehrtash Tafazzoli Harandi; Mathieu Salzmann (Domain Adaptation in Computer Vision Applications, 2017)

Scalable Deep k-Subspace Clustering. - Tong Zhang 023; Pan Ji; Mehrtash Harandi; Richard I. Hartley; Ian D. Reid 001 (ACCV (5), 2018)

Geometry Aware Constrained Optimization Techniques for Deep Learning. - Soumava Kumar Roy; Zakaria Mhammedi; Mehrtash Harandi (CVPR, 2018)

Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective. - Jing Zhang 052; Tong Zhang 023; Yuchao Dai; Mehrtash Harandi; Richard I. Hartley (CVPR, 2018)

Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond. - Piotr Koniusz; Yusuf Tas; Hongguang Zhang; Mehrtash Tafazzoli Harandi; Fatih Porikli; Rui Zhang (ECCV (16), 2018)

Museum Exhibit Identification Challenge for Domain Adaptation and Beyond. - Piotr Koniusz; Yusuf Tas; Hongguang Zhang; Mehrtash Tafazzoli Harandi; Fatih Porikli; Rui Zhang (CoRR, 2018)

Block Mean Approximation for Efficient Second Order Optimization. - Yao Lu; Mehrtash Harandi; Richard I. Hartley; Razvan Pascanu (CoRR, 2018)

Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods. - Mehrtash Tafazzoli Harandi; Mathieu Salzmann; Richard I. Hartley (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Large-Scale Metric Learning: A Voyage From Shallow to Deep. - Masoud Faraki; Mehrtash Tafazzoli Harandi; Fatih Porikli (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Comprehensive Look at Coding Techniques on Riemannian Manifolds. - Masoud Faraki; Mehrtash Tafazzoli Harandi; Fatih Porikli (IEEE Trans. Neural Networks Learn. Syst., 2018)

Min-Max Statistical Alignment for Transfer Learning. - Samitha Herath; Mehrtash Harandi; Basura Fernando; Richard Nock (CVPR, 2019)

Bilinear Attention Networks for Person Retrieval. - Pengfei Fang; Jieming Zhou; Soumava Kumar Roy; Lars Petersson; Mehrtash Harandi (ICCV, 2019)

Siamese Networks: The Tale of Two Manifolds. - Soumava Kumar Roy; Mehrtash Harandi; Richard Nock; Richard I. Hartley (ICCV, 2019)

Neural Collaborative Subspace Clustering. - Tong Zhang 023; Pan Ji; Mehrtash Harandi; Wen-bing Huang 001; Hongdong Li (ICML, 2019)

A Probabilistic approach for Learning Embeddings without Supervision. - Ujjal Kr Dutta; Mehrtash Harandi; Chellu Chandra Sekhar (CoRR, 2019)

Using temporal information for recognizing actions from still images. - Samitha Herath; Basura Fernando; Mehrtash Harandi (Pattern Recognit., 2019)

Toward Efficient Action Recognition: Principal Backpropagation for Training Two-Stream Networks. - Wen-bing Huang 001; Lijie Fan; Mehrtash Harandi; Lin Ma 002; Huaping Liu 001; Wei Liu 005; Chuang Gan 001 (IEEE Trans. Image Process., 2019)

Unsupervised Metric Learning with Synthetic Examples. - Ujjal Kr Dutta; Mehrtash Harandi; C. Chandra Sekhar (AAAI, 2020)

Revisiting Bilinear Pooling: A Coding Perspective. - Zhi Gao; Yuwei Wu 001; Xiaoxun Zhang; Jindou Dai; Yunde Jia; Mehrtash Harandi (AAAI, 2020)

Channel Recurrent Attention Networks for Video Pedestrian Retrieval. - Pengfei Fang; Pan Ji; Jieming Zhou; Lars Petersson; Mehrtash Harandi (ACCV (6), 2020)

Learning to Optimize on SPD Manifolds. - Zhi Gao; Yuwei Wu 001; Yunde Jia; Mehrtash Harandi (CVPR, 2020)

M2SGD: Learning to Learn Important Weights. - Nicholas I-Hsien Kuo; Mehrtash Harandi; Nicolas Fourrier; Christian Walder; Gabriela Ferraro; Hanna Suominen (CVPR Workshops, 2020)

Adaptive Subspaces for Few-Shot Learning. - Christian Simon; Piotr Koniusz; Richard Nock; Mehrtash Harandi (CVPR, 2020)

On Modulating the Gradient for Meta-learning. - Christian Simon; Piotr Koniusz; Richard Nock; Mehrtash Harandi (ECCV (8), 2020)

An Input Residual Connection for Simplifying Gated Recurrent Neural Networks. - Nicholas I-Hsien Kuo; Mehrtash Harandi; Nicolas Fourrier; Christian Walder; Gabriela Ferraro; Hanna Suominen (IJCNN, 2020)

Hierarchical Neural Architecture Search for Deep Stereo Matching. - Xuelian Cheng; Yiran Zhong; Mehrtash Harandi; Yuchao Dai; Xiaojun Chang; Hongdong Li; Tom Drummond; Zongyuan Ge (NeurIPS, 2020)

Learning from Noisy Labels via Discrepant Collaborative Training. - Yan Han; Soumava Kumar Roy; Lars Petersson; Mehrtash Harandi (WACV, 2020)

Devon: Deformable Volume Network for Learning Optical Flow. - Yao Lu; Jack Valmadre; Heng Wang; Juho Kannala; Mehrtash Harandi; Philip H. S. Torr (WACV, 2020)

Affinity guided Geometric Semi-Supervised Metric Learning. - Ujjal Kr Dutta; Mehrtash Harandi; Chellu Chandra Sekhar (CoRR, 2020)

Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation. - Lie Ju; Xin Wang 094; Quan Zhou 004; Hu Zhu; Mehrtash Harandi; C. Paul Bonnington; Tom Drummond; Zongyuan Ge (CoRR, 2020)

MTL2L: A Context Aware Neural Optimiser. - Nicholas I-Hsien Kuo; Mehrtash Harandi; Nicolas Fourrier; Christian Walder; Gabriela Ferraro; Hanna Suominen (CoRR, 2020)

Uncertainty-Aware Deep Calibrated Salient Object Detection. - Jing Zhang 052; Yuchao Dai; Xin Yu 002; Mehrtash Harandi; Nick Barnes; Richard I. Hartley (CoRR, 2020)

Cross-Correlated Attention Networks for Person Re-Identification. - Jieming Zhou; Soumava Kumar Roy; Pengfei Fang; Mehrtash Harandi; Lars Petersson (Image Vis. Comput., 2020)

Unsupervised Deep Metric Learning via Orthogonality Based Probabilistic Loss. - Ujjal Kr Dutta; Mehrtash Harandi; Chellu Chandra Sekhar (IEEE Trans. Artif. Intell., 2020)

Domain Adaptation by Joint Distribution Invariant Projections. - Sentao Chen; Mehrtash Harandi; Xiaona Jin; Xiaowei Yang 003 (IEEE Trans. Image Process., 2020)

A Robust Distance Measure for Similarity-Based Classification on the SPD Manifold. - Zhi Gao; Yuwei Wu 001; Mehrtash Harandi; Yunde Jia (IEEE Trans. Neural Networks Learn. Syst., 2020)

Semi-Supervised Metric Learning: A Deep Resurrection. - Ujjal Kr Dutta; Mehrtash Harandi; Chellu Chandra Sekhar (AAAI, 2021)

Learning a Gradient-free Riemannian Optimizer on Tangent Spaces. - Xiaomeng Fan; Zhi Gao; Yuwei Wu 001; Yunde Jia; Mehrtash Harandi (AAAI, 2021)

Learning to Continually Learn Rapidly from Few and Noisy Data. - Nicholas I-Hsien Kuo; Mehrtash Harandi; Nicolas Fourrier; Christian Walder; Gabriela Ferraro; Hanna Suominen (MetaDL@AAAI, 2021)

Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task. - Himashi Peiris; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (BrainLes@MICCAI (1), 2021)

Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning. - Ali Cheraghian; Shafin Rahman; Pengfei Fang; Soumava Kumar Roy; Lars Petersson; Mehrtash Harandi (CVPR, 2021)

Reinforced Attention for Few-Shot Learning and Beyond. - Jie Hong; Pengfei Fang; Weihao Li 005; Tong Zhang 023; Christian Simon; Mehrtash Harandi; Lars Petersson (CVPR, 2021)

Plastic and Stable Gated Classifiers for Continual Learning. - Nicholas I-Hsien Kuo; Mehrtash Harandi; Nicolas Fourrier; Christian Walder; Gabriela Ferraro; Hanna Suominen (CVPR Workshops, 2021)

On Learning the Geodesic Path for Incremental Learning. - Christian Simon; Piotr Koniusz; Mehrtash Harandi (CVPR, 2021)

Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces. - Ali Cheraghian; Shafin Rahman; Sameera Ramasinghe; Pengfei Fang; Christian Simon; Lars Petersson; Mehrtash Harandi (ICCV, 2021)

Kernel Methods in Hyperbolic Spaces. - Pengfei Fang; Mehrtash Harandi; Lars Petersson (ICCV, 2021)

Curvature Generation in Curved Spaces for Few-Shot Learning. - Zhi Gao; Yuwei Wu 001; Yunde Jia; Mehrtash Harandi (ICCV, 2021)

Learning Online for Unified Segmentation and Tracking Models. - Tianyu Zhu 001; Mehrtash Harandi; Rongkai Ma; Tom Drummond (IJCNN, 2021)

Duo-SegNet: Adversarial Dual-Views for Semi-supervised Medical Image Segmentation. - Himashi Peiris; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (MICCAI (2), 2021)

Set Augmented Triplet Loss for Video Person Re-Identification. - Pengfei Fang; Pan Ji; Lars Petersson; Mehrtash Harandi (WACV, 2021)

Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation. - Lie Ju; Xin Wang 094; Lin Wang 027; Dwarikanath Mahapatra; Xin Zhao; Mehrtash Harandi; Tom Drummond; Tongliang Liu; Zongyuan Ge (CoRR, 2021)

Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions. - Jing Wu 021; Mingyi Zhou; Ce Zhu; Yipeng Liu 001; Mehrtash Harandi; Li Li 029 (CoRR, 2021)

Dense Uncertainty Estimation. - Jing Zhang 052; Yuchao Dai; Mochu Xiang; Deng-Ping Fan; Peyman Moghadam; Mingyi He; Christian Walder; Kaihao Zhang; Mehrtash Harandi; Nick Barnes (CoRR, 2021)

Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model. - Jing Zhang 052; Yuchao Dai; Mehrtash Harandi; Yiran Zhong; Nick Barnes; Richard Hartley 001 (CoRR, 2021)

A Volumetric Transformer for Accurate 3D Tumor Segmentation. - Himashi Peiris; Munawar Hayat; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (CoRR, 2021)

Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning. - Rongkai Ma; Pengfei Fang; Gil Avraham; Yan Zuo; Tom Drummond; Mehrtash Harandi (CoRR, 2021)

Discrepant collaborative training by Sinkhorn divergences. - Yan Han; Soumava Kumar Roy; Lars Petersson; Mehrtash Harandi (Image Vis. Comput., 2021)

Learning Saliency From Single Noisy Labelling: A Robust Model Fitting Perspective. - Jing Zhang 052; Yuchao Dai; Tong Zhang 023; Mehrtash Harandi; Nick Barnes; Richard Hartley 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Semi-Supervised Domain Adaptation via Asymmetric Joint Distribution Matching. - Sentao Chen; Mehrtash Harandi; Xiaona Jin; Xiaowei Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Efficient Riemannian Meta-Optimization by Implicit Differentiation. - Xiaomeng Fan; Yuwei Wu 001; Zhi Gao; Yunde Jia; Mehrtash Harandi (AAAI, 2022)

Adaptive Poincaré Point to Set Distance for Few-Shot Classification. - Rongkai Ma; Pengfei Fang; Tom Drummond; Mehrtash Harandi (AAAI, 2022)

A Differentiable Distance Approximation for Fairer Image Classification. - Nicholas Rosa; Tom Drummond; Mehrtash Harandi (ACCV (6), 2022)

Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation. - Himashi Peiris; Munawar Hayat; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (BrainLes@MICCAI (2), 2022)

Implicit Motion Handling for Video Camouflaged Object Detection. - Xuelian Cheng; Huan Xiong; Deng-Ping Fan; Yiran Zhong; Mehrtash Harandi; Tom Drummond; Zongyuan Ge (CVPR, 2022)

On Generalizing Beyond Domains in Cross-Domain Continual Learning. - Christian Simon; Masoud Faraki; Yi-Hsuan Tsai; Xiang Yu 002; Samuel Schulter; Yumin Suh; Mehrtash Harandi; Manmohan Chandraker (CVPR, 2022)

Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning. - Rongkai Ma; Pengfei Fang; Gil Avraham; Yan Zuo; Tianyu Zhu 001; Tom Drummond; Mehrtash Harandi (ECCV (20), 2022)

A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study. - Milad Ramezankhani; Amir Nazemi; Apurva Narayan; Heinz Voggenreiter; Mehrtash Harandi; Rudolf J. Seethaler; Abbas S. Milani (ICPS, 2022)

Deep Laparoscopic Stereo Matching with Transformers. - Xuelian Cheng; Yiran Zhong; Mehrtash Harandi; Tom Drummond; Zhiyong Wang 001; Zongyuan Ge (MICCAI (8), 2022)

A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation. - Himashi Peiris; Munawar Hayat; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (MICCAI (5), 2022)

Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds. - Zhi Gao; Yuwei Wu 001; Yunde Jia; Mehrtash Harandi (NeurIPS, 2022)

On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation. - Markus Hiller; Mehrtash Harandi; Tom Drummond (NeurIPS, 2022)

Rethinking Generalization in Few-Shot Classification. - Markus Hiller; Rongkai Ma; Mehrtash Harandi; Tom Drummond (NeurIPS, 2022)

Meta-Learning for Multi-Label Few-Shot Classification. - Christian Simon; Piotr Koniusz; Mehrtash Harandi (WACV, 2022)

Towards a Robust Differentiable Architecture Search under Label Noise. - Christian Simon; Piotr Koniusz; Lars Petersson; Yan Han; Mehrtash Harandi (WACV, 2022)

Multi-head Cascaded Swin Transformers with Attention to k-space Sampling Pattern for Accelerated MRI Reconstruction. - Mevan Ekanayake; Kamlesh Pawar; Mehrtash Harandi; Gary F. Egan; Zhaolin Chen (CoRR, 2022)

Defense against Privacy Leakage in Federated Learning. - Jing Wu 021; Munawar Hayat; Mingyi Zhou; Mehrtash Harandi (CoRR, 2022)

Learning Deep Optimal Embeddings with Sinkhorn Divergences. - Soumava Kumar Roy; Yan Han; Mehrtash Harandi; Lars Petersson (CoRR, 2022)

LAVA: Label-efficient Visual Learning and Adaptation. - Islam Nassar; Munawar Hayat; Ehsan Abbasnejad; Hamid Rezatofighi; Mehrtash Harandi; Gholamreza Haffari (CoRR, 2022)

Multimorbidity Content-Based Medical Image Retrieval Using Proxies. - Yunyan Xing; Benjamin J. Meyer 001; Mehrtash Harandi; Tom Drummond; Zongyuan Ge (CoRR, 2022)

PointCaM: Cut-and-Mix for Open-Set Point Cloud Analysis. - Jie Hong; Shi Qiu 001; Weihao Li 005; Saeed Anwar; Mehrtash Harandi; Nick Barnes; Lars Petersson (CoRR, 2022)

Learning Log-Determinant Divergences for Positive Definite Matrices. - Anoop Cherian; Panagiotis Stanitsas; Jue Wang 010; Mehrtash Harandi; Vassilios Morellas; Nikolaos Papanikolopoulos (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Attention in Attention Networks for Person Retrieval. - Pengfei Fang; Jieming Zhou; Soumava Kumar Roy; Pan Ji; Lars Petersson; Mehrtash Harandi (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Exploring Data Geometry for Continual Learning. - Zhi Gao; Chen Xu; Feng Li; Yunde Jia; Mehrtash Harandi; Yuwei Wu 001 (CVPR, 2023)

Feature Correlation Aggregation: on the Path to Better Graph Neural Networks. - Jieming Zhou; Tong Zhang 023; Pengfei Fang; Lars Petersson; Mehrtash Harandi (DICTA, 2023)

Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation. - Samitha Herath; Basura Fernando; Ehsan Abbasnejad; Munawar Hayat; Shahram Khadivi; Mehrtash Harandi; Hamid Rezatofighi; Gholamreza Haffari (ICCV, 2023)

Hyperbolic Audio-visual Zero-shot Learning. - Jie Hong; Zeeshan Hayder; Junlin Han; Pengfei Fang; Mehrtash Harandi; Lars Petersson (ICCV, 2023)

Flashback for Continual Learning. - Leila Mahmoodi; Mehrtash Harandi; Peyman Moghadam (ICCV (Workshops), 2023)

Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation. - Jieming Zhou; Tong Zhang 023; Zeeshan Hayder; Lars Petersson; Mehrtash Harandi (ICCV (Workshops), 2023)

Can we Distill Knowledge from Powerful Teachers Directly? - Chengyao Qian; Munawar Hayat; Mehrtash Harandi (ICIP, 2023)

Vector Quantized Wasserstein Auto-Encoder. - Long Tung Vuong; Trung Le 001; He Zhao 001; Chuanxia Zheng; Mehrtash Harandi; Jianfei Cai 001; Dinh Q. Phung (ICML, 2023)

L3DMC: Lifelong Learning Using Distillation via Mixed-Curvature Space. - Kaushik Roy 008; Peyman Moghadam; Mehrtash Harandi (MICCAI (2), 2023)

EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos. - Ruyi Zha; Xuelian Cheng; Hongdong Li; Mehrtash Harandi; Zongyuan Ge (MICCAI (9), 2023)

LAVA:Label-efficient Visual Learning and Adaptation. - Islam Nassar; Munawar Hayat; Ehsan Abbasnejad; Hamid Rezatofighi; Mehrtash Harandi; Gholamreza Haffari (WACV, 2023)

Multimorbidity Content-Based Medical Image Retrieval and Disease Recognition Using Multi-Label Proxy Metric Learning. - Yunyan Xing; Benjamin J. Meyer 001; Mehrtash Harandi; Tom Drummond; Zongyuan Ge (IEEE Access, 2023)

Vector Quantized Wasserstein Auto-Encoder. - Tung-Long Vuong; Trung Le 001; He Zhao 001; Chuanxia Zheng; Mehrtash Harandi; Jianfei Cai 001; Dinh Q. Phung (CoRR, 2023)

Hyperbolic Geometry in Computer Vision: A Survey. - Pengfei Fang; Mehrtash Harandi; Trung Le 001; Dinh Q. Phung (CoRR, 2023)

Contrastive Learning MRI Reconstruction. - Mevan Ekanayake; Zhifeng Chen; Gary F. Egan; Mehrtash Harandi; Zhaolin Chen (CoRR, 2023)

RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization. - Tuan Truong; Hoang-Phi Nguyen; Tung Pham 001; Minh-Tuan Tran; Mehrtash Harandi; Dinh Phung 001; Trung Le 001 (CoRR, 2023)

Unleash Data Generation for Efficient and Effective Data-free Knowledge Distillation. - Minh-Tuan Tran; Trung Le 001; Xuan-May Le; Mehrtash Harandi; Quan Hung Tran; Dinh Q. Phung (CoRR, 2023)

Real-time Neonatal Chest Sound Separation using Deep Learning. - Yang Yi Poh; Ethan Grooby; Kenneth Tan; Lindsay Zhou; Arrabella King; Ashwin Ramanathan; Atul Malhotra; Mehrtash Harandi; Faezeh Marzbanrad (CoRR, 2023)

LaViP: Language-Grounded Visual Prompts. - Nilakshan Kunananthaseelan; Jing Zhang 052; Mehrtash Harandi (CoRR, 2023)

Poincaré Kernels for Hyperbolic Representations. - Pengfei Fang; Mehrtash Harandi; Zhenzhong Lan; Lars Petersson (Int. J. Comput. Vis., 2023)

Guest Editorial : Learning with Manifolds in Computer Vision. - Mohamed Daoudi; Mehrtash Harandi; Vittorio Murino (Image Vis. Comput., 2023)

CL3: Generalization of Contrastive Loss for Lifelong Learning. - Kaushik Roy 008; Christian Simon; Peyman Moghadam; Mehrtash Harandi (J. Imaging, 2023)

Curvature-Adaptive Meta-Learning for Fast Adaptation to Manifold Data. - Zhi Gao; Yuwei Wu 001; Mehrtash Harandi; Yunde Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Learning to Optimize on Riemannian Manifolds. - Zhi Gao; Yuwei Wu 001; Xiaomeng Fan; Mehrtash Harandi; Yunde Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation. - Himashi Peiris; Munawar Hayat; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (Nat. Mac. Intell., 2023)

RMAML: Riemannian meta-learning with orthogonality constraints. - Hadi Tabealhojeh; Peyman Adibi; Hossein Karshenas; Soumava Kumar Roy; Mehrtash Harandi (Pattern Recognit., 2023)

Subspace distillation for continual learning. - Kaushik Roy 008; Christian Simon; Peyman Moghadam; Mehrtash Harandi (Neural Networks, 2023)

Domain Neural Adaptation. - Sentao Chen; Zijie Hong; Mehrtash Harandi; Xiaowei Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2023)

LaViP: Language-Grounded Visual Prompting. - Nilakshan Kunananthaseelan; Jing Zhang 052; Mehrtash Harandi (AAAI, 2024)

Concealing Sensitive Samples against Gradient Leakage in Federated Learning. - Jing Wu 021; Munawar Hayat; Mingyi Zhou; Mehrtash Harandi (AAAI, 2024)

How Far can we Compress Instant-NGP-Based NeRF? - Yihang Chen; Qianyi Wu; Mehrtash Harandi; Jianfei Cai 001 (CVPR, 2024)

Text-Enhanced Data-Free Approach for Federated Class-Incremental Learning. - Minh-Tuan Tran; Trung Le 001; Xuan-May Le; Mehrtash Harandi; Dinh Phung 001 (CVPR, 2024)

NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation. - Minh-Tuan Tran; Trung Le 001; Xuan-May Le; Mehrtash Harandi; Quan Hung Tran; Dinh Q. Phung (CVPR, 2024)

Backpropagation-free Network for 3D Test-time Adaptation. - Yanshuo Wang; Ali Cheraghian; Zeeshan Hayder; Jie Hong; Sameera Ramasinghe; Shafin Rahman; David Ahmedt-Aristizabal; Xuesong Li 001; Lars Petersson; Mehrtash Harandi (CVPR, 2024)

HAC: Hash-Grid Assisted Context for 3D Gaussian Splatting Compression. - Yihang Chen; Qianyi Wu; Weiyao Lin; Mehrtash Harandi; Jianfei Cai 001 (ECCV (7), 2024)

Canonical Shape Projection Is All You Need for 3D Few-Shot Class Incremental Learning. - Ali Cheraghian; Zeeshan Hayder; Sameera Ramasinghe; Shafin Rahman; Javad Jafaryahya; Lars Petersson; Mehrtash Harandi (ECCV (41), 2024)

Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks. - Jing Wu 021; Mehrtash Harandi (ECCV (47), 2024)

Stereographic Projection for Embedding Hierarchical Structures in Hyperbolic Space. - Shangyu Chen; Xiaohao Yang; Pengfei Fang; Mehrtash Tafazzoli Harandi; Dinh Q. Phung; Jianfei Cai 001 (ICPR (9), 2024)

A CNN system for segmenting tropical cyclones neighborhoods in geostationary images. - Joshua May; Mehrtash Harandi; J. Scott Tyo; Liang Hu; Elizabeth A Ritchie-Tyo (IGARSS, 2024)

Improving Deep Learning MRI Reconstruction with Contrastive Learning Pretraining. - Mevan Ekanayake; Zhifeng Chen; Mehrtash Harandi; Gary F. Egan; Zhaolin Chen (ISBI, 2024)

FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models. - Pengxiang Li 002; Zhi Gao; Bofei Zhang; Tao Yuan; Yuwei Wu 001; Mehrtash Harandi; Yunde Jia; Song-Chun Zhu; Qing Li 003 (NeurIPS, 2024)

Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization. - Haocheng Luo; Tuan Truong; Tung Pham 001; Mehrtash Harandi; Dinh Q. Phung; Trung Le 001 (NeurIPS, 2024)

Continual Test-time Domain Adaptation via Dynamic Sample Selection. - Yanshuo Wang; Jie Hong; Ali Cheraghian; Shafin Rahman; David Ahmedt-Aristizabal; Lars Petersson; Mehrtash Harandi (WACV, 2024)

EraseDiff: Erasing Data Influence in Diffusion Models. - Jing Wu 021; Trung Le 001; Munawar Hayat; Mehrtash Harandi (CoRR, 2024)

MUNBa: Machine Unlearning via Nash Bargaining. - Jing Wu 021; Mehrtash Harandi (CoRR, 2024)

Large-Scale Data-Free Knowledge Distillation for ImageNet via Multi-Resolution Data Generation. - Minh-Tuan Tran; Trung Le 001; Xuan-May Le; Jianfei Cai 001; Mehrtash Harandi; Dinh Q. Phung (CoRR, 2024)

Automated Segmentation of Tropical Cyclone Clouds in Geostationary Infrared Images. - Joshua May; Liang Hu; Elizabeth A. Ritchie; Mehrtash Harandi; J. Scott Tyo (IEEE Geosci. Remote. Sens. Lett., 2024)

McSTRA: A multi-branch cascaded swin transformer for point spread function-guided robust MRI reconstruction. - Mevan Ekanayake; Kamlesh Pawar; Mehrtash Harandi; Gary F. Egan; Zhaolin Chen (Comput. Biol. Medicine, 2024)

Smart manufacturing under limited and heterogeneous data: a sim-to-real transfer learning with convolutional variational autoencoder in thermoforming. - Milad Ramezankhani; Mehrtash Harandi; Rudolf J. Seethaler; Abbas S. Milani (Int. J. Comput. Integr. Manuf., 2024)

GOSS: towards generalized open-set semantic segmentation. - Jie Hong; Weihao Li 005; Junlin Han; Jiyang Zheng; Pengfei Fang; Mehrtash Harandi; Lars Petersson (Vis. Comput., 2024)

Publisher Correction: GOSS: towards generalized open-set semantic segmentation. - Jie Hong; Weihao Li 005; Junlin Han; Jiyang Zheng; Pengfei Fang; Mehrtash Harandi; Lars Petersson (Vis. Comput., 2024)

Curved Geometric Networks for Visual Anomaly Recognition. - Jie Hong; Pengfei Fang; Weihao Li 005; Junlin Han; Lars Petersson; Mehrtash Harandi (IEEE Trans. Neural Networks Learn. Syst., 2024)

Erasing Undesirable Influence in Diffusion Models. - Jing Wu 021; Trung Le 001; Munawar Hayat; Mehrtash Harandi (CVPR, 2025)

Fast Feedforward 3D Gaussian Splatting Compression. - Yihang Chen; Qianyi Wu; Mengyao Li; Weiyao Lin; Mehrtash Harandi; Jianfei Cai 001 (ICLR, 2025)

SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution. - Mevan Ekanayake; Zhifeng Chen; Gary F. Egan; Mehrtash Harandi; Zhaolin Chen (WACV, 2025)

CL-MRI: Self-Supervised contrastive learning to improve the accuracy of undersampled MRI reconstruction. - Mevan Ekanayake; Zhifeng Chen; Mehrtash Harandi; Gary F. Egan; Zhaolin Chen (Biomed. Signal Process. Control., 2025)

HVQ-VAE: Variational auto-encoder with hyperbolic vector quantization. - Shangyu Chen; Pengfei Fang; Mehrtash Harandi; Trung Le 001; Jianfei Cai 001; Dinh Q. Phung (Comput. Vis. Image Underst., 2025)

Co-Manifold learning for semi-supervised medical image segmentation. - Himashi Peiris; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (Neurocomputing, 2025)

Flashbacks to harmonize stability and plasticity in continual learning. - Leila Mahmoodi; Peyman Moghadam; Munawar Hayat; Christian Simon; Mehrtash Harandi (Neural Networks, 2025)

DoubleDiffusion: Combining Heat Diffusion with Denoising Diffusion for Generative Learning on 3D Meshes. - Xuyang Wang; Ziang Cheng; Zhenyu Li; Jiayu Yang; Haorui Ji; Pan Ji; Mehrtash Harandi; Richard I. Hartley; Hongdong Li (CoRR, 2025)

HAC++: Towards 100X Compression of 3D Gaussian Splatting. - Yihang Chen; Qianyi Wu; Weiyao Lin; Mehrtash Harandi; Jianfei Cai 001 (CoRR, 2025)

Why Domain Generalization Fail? A View of Necessity and Sufficiency. - Long Tung Vuong; Vy Vo; Hien Dang 004; Van-Anh Nguyen; Thanh-Toan Do; Mehrtash Harandi; Trung Le 001; Dinh Q. Phung (CoRR, 2025)

Learning from Noisy Labels with Contrastive Co-Transformer. - Yan Han; Soumava Kumar Roy; Mehrtash Harandi; Lars Petersson (CoRR, 2025)

PCGS: Progressive Compression of 3D Gaussian Splatting. - Yihang Chen; Mengyao Li; Qianyi Wu; Weiyao Lin; Mehrtash Harandi; Jianfei Cai 001 (CoRR, 2025)

Optimizing Specific and Shared Parameters for Efficient Parameter Tuning. - Van-Anh Nguyen; Thanh-Toan Do; Mehrtash Harandi; Dinh Q. Phung; Trung Le 001 (CoRR, 2025)

Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations. - Chaofan Gan; Yuanpeng Tu; Xi Chen; Tieyuan Chen; Yuxi Li 009; Mehrtash Harandi; Weiyao Lin (CoRR, 2025)

Exemplar-Free Continual Learning for State Space Models. - Isaac Ning Lee; Leila Mahmoodi; Trung Le 001; Mehrtash Harandi (CoRR, 2025)

A Set-to-Set Distance Measure in Hyperbolic Space. - Pengxiang Li 002; Wei Wu; Zhi Gao; Xiaomeng Fan; Peilin Yu 001; Yuwei Wu 001; Zhipeng Lu 003; Yunde Jia; Mehrtash Harandi (CoRR, 2025)

Geometry-aware Distance Measure for Diverse Hierarchical Structures in Hyperbolic Spaces. - Pengxiang Li 002; Yuwei Wu 001; Zhi Gao; Xiaomeng Fan; Wei Wu; Zhipeng Lu 003; Yunde Jia; Mehrtash Harandi (CoRR, 2025)

Advancements and Challenges in Continual Reinforcement Learning: A Comprehensive Review. - Amara Zuffer; Michael Burke; Mehrtash Harandi (CoRR, 2025)