Publications
2024
J. Wu and M. Harandi
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks
European Conference on Computer Vision (ECCV), 2024.Y. Chen, Q. Wu, J. Cai, M. Harandi, and W. Lin
HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression
European Conference on Computer Vision (ECCV), 2024.A. Cheraghian, Z. Hayder, S. Ramasinghe, S. Rahman, J. Jafaryahya, L. Petersson, and M. Harandi
Canonical Shape Projection is All You Need for 3D Few-shot Class Incremental Learning
European Conference on Computer Vision (ECCV), 2024.M. Tran, T. Le, X. Le, M. Harandi, and D. Phung
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2024.M. Tran, T. Le, X. Le, M. Harandi, Q. Tran, and D. Phung
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2024.Y. Wang, A. Cheraghian, Z. Hayder, J. Hong, S. Ramasinghe, S. Rahman, D. Ahmedt-Aristizabal, X. Li, L. Petersson, and M. Harandi
Backpropagation-free Network for 3D Test-Time Adaptation.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2024.Y. Chen, Q. Wu, M. Harandi, and J. Cai
How Far Can We Compress Instant NGP-Based NeRF?
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2024.J. Wu, M. Hayat, M. Zhou, and M. Harandi
Concealing Sensitive Samples against Gradient Leakage in Federated Learning.
AAAI Conference on Artificial Intelligence (AAAI), Vancouver, 2024.N. Kunananthaseelan, J. Zhang, and M. Harandi
LaViP: Language-Grounded Visual Prompting.
AAAI Conference on Artificial Intelligence (AAAI), Vancouver, 2024.Y. Wang, J. Hong, A. Cheraghian, S. Rahman, D. Ahmedt-Aristizabal, M. Harandi, and L. Peterson
Continual Test-time Domain Adaptation via Dynamic Sample Selection.
IEEE Winter Conference on Applications of Computer Vision (WACV), 2024.M. Ekanayake, K. Pawar, M. Harandi, G. Egan, and Z. Chen.
McSTRA: A Multi-branch Cascaded Swin Transformer for point spread function-guided Robust MRI Reconstruction.
Computers in Biology and Medicine, Vol 168, 2024.M. Ekanayake, Z. Chen, M. Harandi, G. Egan, and Z. Chen.
Improving Deep Learning MRI Reconstruction with Contrastive Learning Pretraining.
International Symposium on Biomedical Imaging (ISBI), 2024.Y. Poh. E. Grooby, K. Tan, L. Zhou, A. King, A. Ramanathan, M. Harandi, F. Marzbanrad
NeoSSNet: Real-Time Neonatal Chest Sound Separation Using Deep Learning
IEEE Open Journal of Engineering in Medicine and BiologyJ. May, L. Hu, E. Ritchie, M. Harandi, S. Tyo
Automated Segmentation of tropical cyclone clouds in geostationary infrared images
IEEE Geoscience and Remote Sensing LettersJ. Hong, W. Li, J. Han, J. Zheng, P. Fang, M. Harandi, and L. Petersson
GOSS: towards generalized open-set semantic segmentation.
The Visual Computer, 2024.D. Sirimewan, M. Harandi, H. Peiris, M. Arashpour
Semi-supervised segmentation for construction and demolition waste recognition in-the-wild: Adversarial dual-view networks
Resources, Conservation & RecyclingM. Ramezankhani, M. Harandi, R. Seethaler, A. Milani
Smart manufacturing under limited and heterogeneous data: a sim-to-real transfer learning with convolutional variational autoencoder in thermoforming
International Journal of Computer Integrated Manufacturing, 2024.
2023
H. Peiris, M. Hayat, Z. Chen, G. Egan, and M. Harandi
Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric Medical Image Segmentation.
Nature Machine Intelligence (NMI), 2023.
If you don't have access to Nature journals and wish to read our work, please contact me. I'll gladly share our version with you.P. Fang, M. Harandi, Z. Lan, and L. Petersson
Poincaré Kernels for Hyperbolic Representations.
International Journal of Computer Vision (IJCV), 2023.K.Roy, S. Christian, P. Moghadam, and M. Harandi
Subspace Distillation for Continual Learning.
Neural Networks, vol 167, 2023.J. Hong, P. Fang, L. Weihao, J. Han, L. Petersson, and M. Harandi
Curved Geometric Networks for Visual Anomaly Recognition.
IEEE Transactions on Neural Networks and Learning Systems. (TNNLS), to appear.J. Hong, Z. Haydar, J. Han, P. Fang, M. Harandi, and L. Petersson
Hyperbolic Audio-visual Zero-shot Learning.
International Conference of Computer Vision (ICCV), 2023.S. Herath, B. Fernando, E. Abbasnejad, M. Hayat, S. Khadivi, M. Harandi, H. Rezatofoghi, and R. Haffari
Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation.
International Conference of Computer Vision (ICCV), 2023.Z. Gao, C. Xu, F. Li, Y. Jia, M. Harandi, and Y. Wu
Exploring Data Geometry for Continual Learning.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.L. Vuong, T. Le, H. Zhao, C. Zheng, M. Harandi, J. Cai, and D. Phung
Vector Quantized Wasserstein Auto-Encoder.
Int. Conference on Machine Learning (ICML), 2023.R. Zha, X. Cheng, H.Li M. Harandi, and Z. Ge
EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos.
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2023 (oral).K.Roy, P. Moghadam, and M. Harandi
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space.
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2023.Z. Gao, Y. Wu, X. Fan, M. Harandi, and Y. Jia
Learning to Optimize on Riemannian Manifolds.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.Z. Gao, Y. Wu, M. Harandi, and Y. Jia
Curvature-Adaptive Meta-Learning for Fast Adaptation to Manifold Data.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.Y. Xing, B. Meyer, M. Harandi, T. Drummond and Z. Ge.
Multimorbidity Content-Based Medical Image Retrieval and Disease Recognition Using Multi-label Proxy Metric Learning.
IEEE Access, 2023.I. Nassar, M. Hayat, E. Abbasnejad, H. Rezatofighi, M. Harandi, and G. Haffari.
LAVA: Label-efficient Visual Learning and Adaptation.
IEEE Winter Conference on Applications of Computer Vision (WACV), 2023.H Tabealhojeh, P Adibi, H Karshenas, SK Roy, and M. Harandi.
RMAML: Riemannian Meta-learning with Orthogonality Constraints.
Pattern Recognition, 2023.M. Ekanayake, Z. Chen, K. Pawar, G. Egan, M. Harandi, and Z. Chen.
COLADA: Contrastive Learning for highly accelerated MR Image Reconstruction.
ISMRM & ISMRT, ML/AI Emerging Algorithms & Methodologies, 2023.
2022
P. Fang, J. Zhou, S. Roy, P. Ji, L. Petersson, and M. Harandi
Attention in Attention Networks for Person Retrieval.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
PyTorch code.A. Cherian, P. Stanitsas, J. Wang, M. Harandi, V. Morellas, and N. Papanikolopoulos
Learning Log-Determinant Divergences for Positive Definite Matrices.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).M. Hiller, M. Harandi, and T. Drummond
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation.
Neural Information Processing Systems (NeurIPS), 2022.M. Hiller, R. Ma, M. Harandi, and T. Drummond
Rethinking Generalization in Few-Shot Classification.
Neural Information Processing Systems (NeurIPS), 2022.Z. Gao, Y. Wu, Y. Jia, and M. Harandi
Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds.
Neural Information Processing Systems (NeurIPS), 2022.H. Peiris, M. Hayat, Z. Chen, G. Egan, and M. Harandi
A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation.
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022
PyTorch code will be coming soon.X. Cheng, Y. Zhong, M. Harandi, T. Drummond, Z. Wang, and Z. Ge
Deep Laparoscopic Stereo Matching with Transformers.
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022
PyTorch code will be coming soon.S. Chen, Z. Hong, M. Harandi, and X. Yang
Domain Neural Adaptation.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS).X. Cheng, H. Xiong, DP. Fan, Y. Zhong, M. Harandi, T. Drummond, and Z. Ge
Implicit Motion Handling for Video Camouflaged Object Detection.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
PyTorch code.C. Simon, M. Faraki, Y. Tsai, X. Yu, S. Schulter, Y. Suh, M. Harandi, and M. Chandraker
On Generalizing Beyond Domains in Cross-Domain Continual Learning.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.R. Ma, P. Fang, G. Avraham, Y. Zuo, T. Zhu, T. Drummond, and M. Harandi
Learning Instance and Task-Aware Dynamic Kernels for Few-shot Learning.
European Conference on Computer Vision (ECCV), 2022.X. Fan, Y. Wu, Z. Gao, Y. Jia, and M. Harandi (oral)
Efficient Riemannian Meta-Optimization by Implicit Differentiation.
AAAI Conference on Artificial Intelligence (AAAI), Virtual Conference, 2022.R. Ma, P. Fang, T. Drummond, and M. Harandi
Adaptive Poincar ́e Point to Set Distance for Few-Shot Classification.
AAAI Conference on Artificial Intelligence (AAAI), Virtual Conference, 2022.C. Simon, P. Koniusz, L. Petersson, Y. Han, and M. Harandi
Towards a Robust Differentiable Architecture Search under Label Noise.
IEEE Winter Conference on Applications of Computer Vision (WACV), 2022.C. Simon, P. Koniusz, and M. Harandi
Meta-Learning for Multi-Label Few-Shot Classification.
IEEE Winter Conference on Applications of Computer Vision (WACV), 2022.N. Rosa, T. Drummond, and M. Harandi
A Differentiable Distance Approximation for Fairer Image Classification.
Asian Conference on Computer Vision (ACCV), Virtual Conference, 2022.
2021
J. Zhang, Y. Dai, T. Zhang, M. Harandi, N. Barnes, and R. Hartley
Learning Saliency from Single Noisy Labelling: A Robust Model Fitting Perspective.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).H. Peiris, Z. Chen, G. Egan, and M. Harandi
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation.
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2021.
PyTorch code.C. Simon, P. Koniusz, and M. Harandi (oral)
On Learning the Geodesic Path for Incremental Learning without Forgetting.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
PyTorch code.
This paper won the Scientific Paper Challenge 2022 organized by Dolby Australia.A. Cheraghian, S. Rahman , P. Fang, S. Roy, L. Petersson, and M. Harandi
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
PyTorch code.J. Hong, P. Fang, W. Li, T. Zhang, C. Simon, M. Harandi, and L. Petersson
Reinforced Attention for Few-Shot Learning and Beyond.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.Z. Gao, Y. Wu, Y. Jia, and M. Harandi
Curvature Generation in Curved Spaces for Few-Shot Learning.
International Conference on Computer Vision (ICCV), 2021.A. Cheraghian, S. Rahman , S. Ramasinghe, P. Fang, C. Simon, L. Petersson, and M. Harandi
Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces.
IEEE Conference on Computer Vision (ICCV), 2021.P. Fang, M. Harandi, and L. Petersson
Kernel Methods in Hyperbolic Spaces.
IEEE Conference on Computer Vision (ICCV), 2021.U. Dutta, M. Harandi, and C. Sekhar
Semi-Supervised Metric Learning: A Deep Resurrection.
AAAI Conference on Artificial Intelligence (AAAI), Virtual Conference, 2021.X. Fan, Z. Gao, Y. Wu, Y. Jia, and M. Harandi
Learning a Gradient-free Riemannian Optimizer on Tangent Spaces.
AAAI Conference on Artificial Intelligence (AAAI), Virtual Conference, 2021.P. Fang, P. Ji, L. Petersson, and M. Harandi
Set Augmented Triplet Loss for Video Person Re-Identification.
IEEE Winter Conference on Applications of Computer Vision (WACV), 2021.Y. Han, S. Roy, L. Petersson, and M. Harandi
Discrepant Collaborative Training by Sinkhorn Divergences.
Image and Vision Computing (IVC).
2020
X. Cheng, Y. Zhong, M. Harandi, Y. Dai, X. Chang, H. Li, T. Drummond, and Z. Ge
LEAStereo: Learning Effective Architectures for Deep Stereo Matching.
Conference on Neural Information Processing Systems (NeurIPS), 2020.
PyTorch code.C. Simon, P. Koniusz, R. Nock, and M. Harandi
Adaptive Subspaces for Few-Shot Learning.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2020.
PyTorch code.Z. Gao, Y. Wu, Y. Jia, and M. Harandi
Learning to Optimize on SPD Manifolds.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2020.
PyTorch code.C. Simon, P. Koniusz, R. Nock, and M. Harandi
On Learning to Modulate the Gradient for Fast Adaptation of Neural Networks.
European Conference on Computer Vision (ECCV), Glasgow, 2020.
PyTorch code.S. Chen, X. Yang, and M. Harandi
Semi-supervised Domain Adaptation via Asymmetric Joint Distribution Matching .
IEEE Transactions on Neural Networks and Learning Systems (TNNLS).S. Chen, X. Yang, and M. Harandi
Domain Adaptation by Joint Distribution Invariant Projections .
IEEE Transactions on Image Processing (TIP).U. Dutta, M. Harandi, and C. Sekhar
Unsupervised Metric Learning with Synthetic Examples. (spotlight)
AAAI Conference on Artificial Intelligence (AAAI), New York, 2020.Z. Gao, Y. Wu, X. Zhang, Y. Jia, and M. Harandi
Revisiting Bilinear Pooling: A Coding Perspective.
AAAI Conference on Artificial Intelligence (AAAI), New York, 2020.
PyTorch code.U. Dutta, M. Harandi, and C. Sekhar
Unsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss.
IEEE Transactions on Artificial Intelligence, 2020.Y. Lu, J. Valmadre, H. Wang, J. Kannala, M. Harandi, and P. Torr
Devon: Deformable Volume Network for Learning Optical Flow.
IEEE Winter Conference on Applications of Computer Vision (WACV), Colorado, 2020.P. Fang, P. Ji, J. Zhou, L. Petersson and M. Harandi
Channel Recurrent Attention Networks for Video Pedestrian Retrieval.
Asian Conference on Computer Vision (ACCV), Kyoto, 2020.N. Kuo, M. Harandi, N. Fourrier, C. Walder, G. Ferraro, and H. Suominen
An Input Residual Connection for Simplifying Gated Recurrent Neural Networks.
International Joint Conference on Neural Networks (IJCNN), Glasgow, 2020.N. Kuo, M. Harandi, N. Fourrier, C. Walder, G. Ferraro, and H. Suominen
MTL2L: A Context Aware Neural Optimiser.
ICML Workshop on Automated Machine Learning (AutoML), 2020.N. Kuo, M. Harandi, N. Fourrier, C. Walder, G. Ferraro, and H. Suominen
M2SGD: Learning to Learn Important Weights.
CVPR Workshop on Continual Learning (CLVISION), 2020.J. Zhou, S. Kumar Roy, P. Fang, M. Harandi, and L. Petersson
Cross-Correlated Attention Networks for Person Re-Identification.
Image and Vision Computing (IVC), 2020.
2019
S. Kumar Roy, M. Harandi, R. Hartley and R. Nock
Siamese Networks: The Tale of Two Manifolds. (oral)
Int. Conference on Computer Vision (ICCV), Seoul, 2019.
PyTorch code coming soon.P. Fang, J. Zhou, S. Kumar Roy, L. Petersson and M. Harandi
Bilinear Attention Networks for Person Retrieval.
Int. Conference on Computer Vision (ICCV), Seoul, 2019.S. Herath, M. Harandi, B. Fernando and R. Nock
Min-Max Statistical Alignment for Transfer Learning.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, 2019.T. Zhang, P. Ji, M. Harandi, W. Huang and H. Li
Neural Collaborative Subspace Clustering.
Int. Conference on Machine Learning (ICML), Long Beach, 2019.Z. Gao, Y. Wu, M. Harandi, and Y. Jia
A Robust Metric for Similarity-based Classification on the SPD Manifold.
IEEE Trans. on Neural Networks and Learning Systems (TNNLS), 2019.
Matlab code.C. Simon, P. Koniusz and M. Harandi
Deep Subspace Networks For Few-Shot Learning.
NeurIPS Workshop on Meta-Learning (MetaLearn), 2019.X. Hong, W. Peng, M. Harandi, Z. Zhou and M. Pietikainen
Characterizing Subtle Facial Movements via Riemannian Manifold.
ACM Trans. on Multimedia Computing Communications and Applications (TOMM), 2019.S. Herath, B. Fernando, and M. Harandi
Using Temporal Information for Recognizing Actions from Still Images.
Pattern Recognition (PR), 2019.
2018
S. Kumar Roy, Z. Mhammedi, and M. Harandi
Geometry Aware Constrained Optimization Techniques for Deep Learning.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, 2018.
Coming soon : Matlab and pyTorch CodesJ. Zhang, T. Zhang, Y. Dai, M. Harandi, and R. Hartley
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective (spotlight).
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, 2018.P. Koniusz, Y. Tas, H. Zhang, M. Harandi, F. Porikli, and R. Zhang
Museum Exhibit Identification Challenge for Domain Adaptation and Beyond. (oral)
European Conference on Computer Vision (ECCV), Munich, 2018.
Data : The Open MIC dataset.T. Zhang, P. Ji, M. Harandi, R. Hartley, and I. Reid
Scalabel K-Subspace Clustering.
Asian Conference on Computer Vision (ACCV), Perth, 2018.W. Huang, L. Fan, J. Guo, W. Liu, F. Sun, L. Ma and M. Harandi
Towards Efficient Video Action Recognition: Principal Backpropagation for Training Two-Stream Networks.
IEEE Transactions on Image Processing (TIP).M. Faraki, M. Harandi, and F. Porikli
A Comprehensive Look at Coding Techniques on Riemannian Manifolds.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018.M. Harandi, M. Salzmann and R. Hartley
Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.
Matlab codeY. Lu, M. Harandi, R. Hartley, and R. Pascanu
Block Mean Approximation for Efficient Second Order Optimization.
ICML Workshop on Modern Trends in Nonconvex Optimization for Machine Learning, 2018.
2017
W. Huang, M. Harandi, T. Zhang, L. Fan, F. Sun, and J. Huang
Efficient Optimization on the Space of Linear Dynamical Systems with Applications to Clustering and Dictionary Learning.
Neural Information Processing Systems (NeurIPS), Long Beach, 2017.
Matlab CodeM. Faraki, M. Harandi, and F. Porikli
Large Scale Metric Learning: A Voyage From Shallow to Deep.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2017.M. Harandi, M. Salzmann and R. Hartley
Joint Dimensionality Reduction and Metric Learning: A Geometric Take. (oral)
Int. Conference on Machine Learning (ICML), Sydney, 2017.S. Herath, M. Harandi, and F. Porikli
Learning an Invariant Hilbert Space for Domain Adaptation.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, 2017.
Matlab CodeA. Cherian, B. Fernando, M. Harandi, and S. Gould
Generalized Rank Pooling for Activity Recognition.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, 2017.
Matlab CodeA. Cherian, P. Stanitsas, M. Harandi, V. Morrelas, and N. Papanikolopoulos
Learning Discriminative Alpha-Beta Divergences for Positive Definite Matrices.
Int. Conference on Computer Vision (ICCV), Venice, 2017.S. Herath, M. Harandi, and F. Porikli
Going Deeper into Action Recognition: A Survey
Image and Vision Computing (IVC).M. Faraki, M. Harandi, and F. Porikli
No Fuss Metric Learning, A Hilbert Space Scenario
Pattern Recognition Letters (PRL).S. Kumar Roy and M. Harandi
Constrained Stochastic Gradient Descent: The Good Practice
IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, 2017.
2011 - 2016
M. Baktashmotlagh, M. Harandi and M. Salzmann
Distribution-Matching Embedding for Visual Domain Adaptation
Journal of Machine Learning Research (JMLR).M. Harandi, M. Salzmann and F. Porikli
When VLAD met Hilbert
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, 2016.W. Huang, F. Sun, L. Cao, D. Zhao, H. Liuand and M. Harandi
Sparse Coding and Dictionary Learning with Linear Dynamical Systems (oral)
Supplementary material
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, 2016.
Matlab CodeM. Faraki, M. Harandi, and F. Porikli
Image Set Classification by Symmetric Positive Semi-Definite Matrices
IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Placid, NY, 2016.
DataM. Harandi, R. Hartley, B. Lovell and C. Sanderson
Sparse Coding on Symmetric Positive Definite Manifolds using Bregman Divergences
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2016.
This is an extended version of our ECCV'12 paper.M. Harandi, M. Salzmann and M. Baktashmotlagh
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs
Int. Conference on Computer Vision (ICCV), Santiago, Chile, 2015.
Matlab CodeM. Harandi, R. Hartley, C. Shen, B. Lovell and C. Sanderson
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds
Int. Journal of Computer Vision (IJCV).M. Harandi and M. Salzmann
Riemannian Coding and Dictionary Learning: Kernels to the Rescue
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, 2015.
The source code will be released soon.M. Faraki, M. Harandi, and F. Porikli
More About VLAD: A Leap from Euclidean to Riemannian Manifolds
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, 2015.
Matlab Code DataS. Jayasumana,R. Hartley, M. Salzmann, H. Li and M. Harandi
Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).S. Zhang, S. Kasiviswanathan2, P.C. Yuen and M. Harandi,
Online Dictionary Learning on Symmetric Positive Definite Manifolds with Vision Applications (oral)
AAAI Conference on Artificial Intelligence (AAAI), Austin Texas, 2015.
C++ Code (Compiled on Linux)A. Emami, M. Harandi, F. Dadgostar and B. Lovell
Novelty Detection in Human Tracking based on Spatiotemporal Oriented Energies
Pattern Recognition (PR), 48(3), 2015.M. Faraki, M. Harandi, and F. Porikli
Approximate Infinite-Dimensional Region Covariance Descriptors for Image Classification
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, 2015.
Matlab CodeM. Faraki, M. Harandi, and F. Porikli
Material Classification on Symmetric Positive Definite Manifolds
IEEE Winter Conference on Applications of Computer Vision (WACV), Hawaii, 2015.M. Harandi, M. Salzmann and R. Hartley
From Manifold to Manifold: geometry-Aware Dimensionality Reduction for SPD Matrices (oral)
European Conference on Computer Vision (ECCV), Zurich, 2014.
Matlab CodeM. Harandi, M. Salzmann, S. Jayasumana, R. Hartley and H. Li
Expanding the Family of Grassmannian Kernels: An Embedding Perspective
European Conference on Computer Vision (ECCV), Zurich, 2014.M. Baktashmotlagh,M. Harandi, B. Lovell and M. Salzmann
Discriminative Non-Linear Stationary Subspace Analysis for Video Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 36(12), 2014.S. Jayasumana,R. Hartley, M. Salzmann, H. Li and M. Harandi
Optimizing over radial Kernels on Compact Manifolds (oral)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, 2014.M. Harandi, M. Salzmann and F. Porikli
Bregman Divergences for Infinite Dimensional Covariance Matrices
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, 2014.M. Baktashmotlagh, M. Harandi, B. Lovell and M. Salzmann
Domain Adaptation on the Statistical Manifold
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, 2014.
Matlab CodeM. Faraki, M. Harandi, A. Wiliem and B. Lovell
Fisher Tensors for Classifying Human Epithelial Cells
Pattern Recognition (PR), 47(7), 2014.
Matlab CodeS. Shirazi, M. Harandi, B. Lovell and C. Sanderson
Object Tracking via Non-Euclidean Geometry: A Grassmann Approach
IEEE Winter Conference on Applications of Computer Vision (WACV), Streamboat, 2014.Y. Wong, M. Harandi and C. Sanderson
On Robust Face Recognition via Sparse Coding: The Good, The Bad and The Ugly
IET Biometrics, 2014.M. Harandi, C. Sanderson, C. Shen and B. Lovell
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution
Int. Conference on Computer Vision (ICCV), Sydney, 2013.
Matlab CodeM. Baktashmotlagh,M. Harandi, B. Lovell and M. Salzmann
Unsupervised Domain Adaptation by Domain Invariant Projection
Int. Conference on Computer Vision (ICCV), Sydney, 2013.
Matlab CodeS. Jayasumana, R. Hartley, M. Salzmann, H. Li and M. Harandi
A Framework for Shape Analysis via Hilbert Space Embedding
Int. Conference on Computer Vision (ICCV), Sydney, 2013.M. Baktashmotlagh,M. Harandi, B. Lovell and M. Salzmann
Non-Linear Stationary Subspace Analysis with Application to Video Classification
Int. Conference on Machine Learning ICML), 2013.S. Jayasumana, R. Hartley, M. Salzmann, H. Li and M. Harandi
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices (oral)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, 2013.S. Chen, C. Sanderson, M. Harandi and B. Lovell
Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, 2013.M. Harandi, C. Sanderson, S. Shirazi and B. Lovell
Kernel Analysis on Grassmann Manifolds for Action Recognition
Pattern Recognition Letters, 34(15), 2013.S. Jayasumana, R. Hartley, M. Salzmann, H. Li and M. Harandi
Combining Multiple Manifold-valued Descriptors for Improved Object Recognition (oral)
EEE International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2013.
Best Recognition PaperA. Sanin, C. Sanderson, M. Harandi and B. Lovell
Spatio-Temporal Covariance Descriptors for Action and Gesture Recognition
IEEE Workshop on Applications of Computer Vision (WACV), 2013.A. Alavi, M. Harandi and C. Sanderson
Relational Divergence Based Classification on Riemannian Manifolds
IEEE Workshop on Applications of Computer Vision (WACV), 2013.A. Alavi, Y. Yang, M. Harandi and C. Sanderson
Multi-Shot Person Re-Identification via Relational Stein Divergence
IEEE Int. Conference on Image Processing (ICIP), 2013.M. Harandi, C. Sanderson, R. Hartley and B. Lovell
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach
European Conference on Computer Vision (ECCV), Firenze, 2012.
Matlab CodeE. Norouznezhad, M. Harandi, A. Bigdeli, M. Baktashmotlagh, A. Postula and B. Lovell
Space-Time Pattern Recognition using Directional Spatio-Temporal Oriented Gradients
European Conference on Computer Vision (ECCV), Firenze, 2012.M. Harandi, C. Sanderson, A. Wiliem and B. Lovell
Kernel Analysis over Riemannian Manifolds for Visual Recognition of Actions, Pedestrians and Textures
IEEE Workshop on Applications of Computer Vision (WACV ), 2012.
Matlab CodeY. Wong, M. Harandi, C. Sanderson and B. Lovell
On Robust Biometric Identity Verification via Sparse Encoding of Faces: Holistic vs Local Approaches
IEEE Int. Joint Conference on Neural Networks (IJCNN), 2012.C. Sanderson, M. Harandi, Y. Wong and B. Lovell
Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification
IEEE Int. Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2012.A. Sanin, C. Sanderson, M. Harandi and B. Lovell
K-Tangent Spaces on Riemannian Manifolds for Improved Pedestrian Detection
IEEE Int. Conference on Image Processing (ICIP), 2012.S. Shirazi, M. Harandi, C. Sanderson and B. Lovell
Clustering on Grassmann Manifolds via Kernel Embedding with Application to Action Analysis
IEEE Int. Conference on Image Processing (ICIP), 2012.M. Harandi, C. Sanderson, S. Shirazi and B. Lovell
Graph Embedding Discriminant Analysis on Grassmannian Manifolds for Improved Image Set Matching
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado, 2011. Matlab Code