Mehrtash Harandi

Rudolf J. Seethaler

Abbas S. Milani

Int. J. Comput. Integr. Manuf., February, 2024

McSTRA: A multi-branch cascaded swin transformer for point spread function-guided robust MRI reconstruction.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, January, 2024

Automated Segmentation of Tropical Cyclone Clouds in Geostationary Infrared Images.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2024

Backpropagation-free Network for 3D Test-time Adaptation.

[BibT_eX]

[DOI]

David Ahmedt-Aristizabal

Xuesong Li

Lars Petersson

CoRR, 2024

HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression.

[BibT_eX]

[DOI]

CoRR, 2024

Text-Enhanced Data-free Approach for Federated Class-Incremental Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks.

[BibT_eX]

[DOI]

Jing Wu

CoRR, 2024

EraseDiff: Erasing Data Influence in Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

Continual Test-time Domain Adaptation via Dynamic Sample Selection.

[BibT_eX]

[DOI]

David Ahmedt-Aristizabal

Lars Petersson

Nilakshan Kunananthaseelan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Concealing Sensitive Samples against Gradient Leakage in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

LaViP: Language-Grounded Visual Prompting.

[BibT_eX]

[DOI]

Jing Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Domain Neural Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Subspace distillation for continual learning.

[BibT_eX]

[DOI]

Neural Networks, October, 2023

RMAML: Riemannian meta-learning with orthogonality constraints.

[BibT_eX]

[DOI]

Pattern Recognit., August, 2023

Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation.

[BibT_eX]

[DOI]

Nat. Mac. Intell., July, 2023

Learning to Optimize on Riemannian Manifolds.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Curvature-Adaptive Meta-Learning for Fast Adaptation to Manifold Data.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2023

CL3: Generalization of Contrastive Loss for Lifelong Learning.

[BibT_eX]

[DOI]

J. Imaging, 2023

Guest Editorial : Learning with Manifolds in Computer Vision.

[BibT_eX]

[DOI]

Mohamed Daoudi

Nilakshan Kunananthaseelan

Vittorio Murino

Image Vis. Comput., 2023

Poincaré Kernels for Hyperbolic Representations.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2023

LaViP: Language-Grounded Visual Prompts.

[BibT_eX]

[DOI]

Jing Zhang

CoRR, 2023

Real-time Neonatal Chest Sound Separation using Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Unleash Data Generation for Efficient and Effective Data-free Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2023

RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization.

[BibT_eX]

[DOI]

CoRR, 2023

Contrastive Learning MRI Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2023

Hyperbolic Geometry in Computer Vision: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Vector Quantized Wasserstein Auto-Encoder.

[BibT_eX]

[DOI]

CoRR, 2023

Multimorbidity Content-Based Medical Image Retrieval and Disease Recognition Using Multi-Label Proxy Metric Learning.

[BibT_eX]

[DOI]

IEEE Access, 2023

LAVA:Label-efficient Visual Learning and Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

L3DMC: Lifelong Learning Using Distillation via Mixed-Curvature Space.

[BibT_eX]

[DOI]

Kaushik Roy

Peyman Moghadam

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Vector Quantized Wasserstein Auto-Encoder.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Can we Distill Knowledge from Powerful Teachers Directly?

[BibT_eX]

[DOI]

Chengyao Qian

Munawar Hayat

Proceedings of the IEEE International Conference on Image Processing, 2023

Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Flashback for Continual Learning.

[BibT_eX]

[DOI]

Leila Mahmoodi

Nikolaos Papanikolopoulos

Peyman Moghadam

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Hyperbolic Audio-visual Zero-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Feature Correlation Aggregation: on the Path to Better Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

Exploring Data Geometry for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Attention in Attention Networks for Person Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning Log-Determinant Divergences for Positive Definite Matrices.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

PointCaM: Cut-and-Mix for Open-Set Point Cloud Analysis.

[BibT_eX]

[DOI]

CoRR, 2022

Multimorbidity Content-Based Medical Image Retrieval Using Proxies.

[BibT_eX]

[DOI]

CoRR, 2022

LAVA: Label-efficient Visual Learning and Adaptation.

[BibT_eX]

[DOI]

CoRR, 2022

Learning Deep Optimal Embeddings with Sinkhorn Divergences.

[BibT_eX]

[DOI]

CoRR, 2022

Defense against Privacy Leakage in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Curved Geometric Networks for Visual Anomaly Recognition.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-head Cascaded Swin Transformers with Attention to k-space Sampling Pattern for Accelerated MRI Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2022

Towards a Robust Differentiable Architecture Search under Label Noise.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Meta-Learning for Multi-Label Few-Shot Classification.

[BibT_eX]

[DOI]

Christian Simon

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Rethinking Generalization in Few-Shot Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation.

[BibT_eX]

[DOI]

Markus Hiller

Tom Drummond

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deep Laparoscopic Stereo Matching with Transformers.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022

Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

On Generalizing Beyond Domains in Cross-Domain Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Implicit Motion Handling for Video Camouflaged Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

A Differentiable Distance Approximation for Fairer Image Classification.

[BibT_eX]

[DOI]

Nicholas Rosa

Tom Drummond

Proceedings of the Computer Vision - ACCV 2022, 2022

Adaptive Poincaré Point to Set Distance for Few-Shot Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Efficient Riemannian Meta-Optimization by Implicit Differentiation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Semi-Supervised Domain Adaptation via Asymmetric Joint Distribution Matching.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Learning Saliency From Single Noisy Labelling: A Robust Model Fitting Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Discrepant collaborative training by Sinkhorn divergences.

[BibT_eX]

[DOI]

Image Vis. Comput., 2021

Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2021

A Volumetric Transformer for Accurate 3D Tumor Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model.

[BibT_eX]

[DOI]

CoRR, 2021

Dense Uncertainty Estimation.

[BibT_eX]

[DOI]

CoRR, 2021

Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions.

[BibT_eX]

[DOI]

CoRR, 2021

Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation.

[BibT_eX]

[DOI]

Lie Ju

Xin Wang

Lin Wang

Dwarikanath Mahapatra

CoRR, 2021

Set Augmented Triplet Loss for Video Person Re-Identification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Duo-SegNet: Adversarial Dual-Views for Semi-supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning Online for Unified Segmentation and Tracking Models.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Curvature Generation in Curved Spaces for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Kernel Methods in Hyperbolic Spaces.

[BibT_eX]

[DOI]

Pengfei Fang

Lars Petersson

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

On Learning the Geodesic Path for Incremental Learning.

[BibT_eX]

[DOI]

Christian Simon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Plastic and Stable Gated Classifiers for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Reinforced Attention for Few-Shot Learning and Beyond.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

Learning to Continually Learn Rapidly from Few and Noisy Data.

[BibT_eX]

[DOI]

Proceedings of the AAAI Workshop on Meta-Learning and MetaDL Challenge, 2021

Learning a Gradient-free Riemannian Optimizer on Tangent Spaces.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Semi-Supervised Metric Learning: A Deep Resurrection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Robust Distance Measure for Similarity-Based Classification on the SPD Manifold.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Domain Adaptation by Joint Distribution Invariant Projections.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Unsupervised Deep Metric Learning via Orthogonality Based Probabilistic Loss.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., 2020

Cross-Correlated Attention Networks for Person Re-Identification.

[BibT_eX]

[DOI]

Image Vis. Comput., 2020

Uncertainty-Aware Deep Calibrated Salient Object Detection.

[BibT_eX]

[DOI]

CoRR, 2020

MTL2L: A Context Aware Neural Optimiser.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Affinity guided Geometric Semi-Supervised Metric Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Devon: Deformable Volume Network for Learning Optical Flow.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Learning from Noisy Labels via Discrepant Collaborative Training.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Hierarchical Neural Architecture Search for Deep Stereo Matching.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

An Input Residual Connection for Simplifying Gated Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

On Modulating the Gradient for Meta-learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Adaptive Subspaces for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

M<sup>2</sup>SGD: Learning to Learn Important Weights.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning to Optimize on SPD Manifolds.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Channel Recurrent Attention Networks for Video Pedestrian Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Revisiting Bilinear Pooling: A Coding Perspective.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Unsupervised Metric Learning with Synthetic Examples.

[BibT_eX]

[DOI]

C. Chandra Sekhar

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Toward Efficient Action Recognition: Principal Backpropagation for Training Two-Stream Networks.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Using temporal information for recognizing actions from still images.

[BibT_eX]

[DOI]

Samitha Herath

Basura Fernando

Pattern Recognit., 2019

A Probabilistic approach for Learning Embeddings without Supervision.

[BibT_eX]

[DOI]

CoRR, 2019

Neural Collaborative Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Siamese Networks: The Tale of Two Manifolds.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Bilinear Attention Networks for Person Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Min-Max Statistical Alignment for Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

A Comprehensive Look at Coding Techniques on Riemannian Manifolds.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Large-Scale Metric Learning: A Voyage From Shallow to Deep.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Block Mean Approximation for Efficient Second Order Optimization.

[BibT_eX]

[DOI]

CoRR, 2018

Museum Exhibit Identification Challenge for Domain Adaptation and Beyond.

[BibT_eX]

[DOI]

Yusuf Tas

Hongguang Zhang

Rui Zhang

CoRR, 2018

Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond.

[BibT_eX]

[DOI]

Yusuf Tas

Hongguang Zhang

Rui Zhang

Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Geometry Aware Constrained Optimization Techniques for Deep Learning.

[BibT_eX]

[DOI]

Soumava Kumar Roy

Zakaria Mhammedi

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Scalable Deep k-Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Learning Domain Invariant Embeddings by Matching Distributions.

[BibT_eX]

[DOI]

Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

No fuss metric learning, a Hilbert space scenario.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2017

Going deeper into action recognition: A survey.

[BibT_eX]

[DOI]

Samitha Herath

Nikolaos Papanikolopoulos

Image Vis. Comput., 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Joint Dimensionality Reduction and Metric Learning: A Geometric Take.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Learning Discriminative αβ-Divergences for Positive Definite Matrices.

[BibT_eX]

[DOI]

Nikos Papanikolopoulos

Proceedings of the IEEE International Conference on Computer Vision, 2017

Constrained Stochastic Gradient Descent: The Good Practice.

[BibT_eX]

[DOI]

Soumava Kumar Roy

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Learning an Invariant Hilbert Space for Domain Adaptation.

[BibT_eX]

[DOI]

Samitha Herath

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Generalized Rank Pooling for Activity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Sparse Coding on Symmetric Positive Definite Manifolds Using Bregman Divergences.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

Executable thematic special issue on pattern recognition techniques for indirect immunofluorescence images analysis.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2016

Distribution-Matching Embedding for Visual Domain Adaptation.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

Generalized BackPropagation, Étude De Cas: Orthogonality.

[BibT_eX]

[DOI]

Basura Fernando

CoRR, 2016

Image set classification by symmetric positive semi-definite matrices.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Sparse Coding and Dictionary Learning with Linear Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

When VLAD Met Hilbert.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Novelty detection in human tracking based on spatiotemporal oriented energies.

[BibT_eX]

[DOI]

Ali Emami

Farhad Dadgostar

Pattern Recognit., 2015

Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2015

Material Classification on Symmetric Positive Definite Manifolds.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

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

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Approximate infinite-dimensional Region Covariance Descriptors for image classification.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Bags of Affine Subspaces for Robust Object Tracking.

[BibT_eX]

[DOI]

Chris McCool

Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

Riemannian coding and dictionary learning: Kernels to the rescue.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

More about VLAD: A leap from Euclidean to Riemannian manifolds.

[BibT_eX]

[DOI]

Shiva Prasad Kasiviswanathan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Online Dictionary Learning on Symmetric Positive Definite Manifolds with Vision Applications.

[BibT_eX]

[DOI]

Shengping Zhang

Pong C. Yuen

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Fisher tensors for classifying human epithelial cells.

[BibT_eX]

[DOI]

Arnold Wiliem

Pattern Recognit., 2014

Discriminative Non-Linear Stationary Subspace Analysis for Video Classification.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2014

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

[BibT_eX]

[DOI]

IET Biom., 2014

Improved Object Tracking via Bags of Affine Subspaces.

[BibT_eX]

[DOI]

Chris McCool

CoRR, 2014

Kernel Coding: General Formulation and Special Cases.

[BibT_eX]

[DOI]

CoRR, 2014

Object tracking via non-Euclidean geometry: A Grassmann approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Expanding the Family of Grassmannian Kernels: An Embedding Perspective.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

Optimizing over Radial Kernels on Compact Manifolds.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Bregman Divergences for Infinite Dimensional Covariance Matrices.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Domain Adaptation on the Statistical Manifold.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Kernel analysis on Grassmann manifolds for action recognition.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2013

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

[BibT_eX]

[DOI]

CoRR, 2013

Spatio-temporal covariance descriptors for action and gesture recognition.

[BibT_eX]

[DOI]

Andres Sanin

Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

Relational divergence based classification on Riemannian manifolds.

[BibT_eX]

[DOI]

Azadeh Alavi

Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

Non-Linear Stationary Subspace Analysis with Application to Video Classification.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Multi-shot person re-identification via relational Stein divergence.

[BibT_eX]

[DOI]

Azadeh Alavi

Yan Yang

Proceedings of the IEEE International Conference on Image Processing, 2013

A Framework for Shape Analysis via Hilbert Space Embedding.

[BibT_eX]

[DOI]

Sadeep Jayasumana

Hongdong Li

Proceedings of the IEEE International Conference on Computer Vision, 2013

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

[BibT_eX]

[DOI]

Chunhua Shen

Proceedings of the IEEE International Conference on Computer Vision, 2013

Unsupervised Domain Adaptation by Domain Invariant Projection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

Combining Multiple Manifold-Valued Descriptors for Improved Object Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces.

[BibT_eX]

[DOI]

Shaokang Chen

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

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

[BibT_eX]

[DOI]

Arnold Wiliem

Proceedings of the IEEE Workshop on Applications of Computer Vision, 2012

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

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

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

[BibT_eX]

[DOI]

Azadeh Alavi

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

K-tangent spaces on Riemannian manifolds for improved pedestrian detection.

[BibT_eX]

[DOI]

Andres Sanin

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

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

[BibT_eX]

[DOI]

Ehsan Norouznezhad

Proceedings of the Computer Vision - ECCV 2012, 2012

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2012, 2012

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

[BibT_eX]

[DOI]

Proceedings of the Ninth IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2012

2011

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

[BibT_eX]

[DOI]

Shaokang Chen

Sandra Mau

EURASIP J. Image Video Process., 2011

Ensemble of furthest subspace pairs for enhanced image set matching.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

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

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Directed Random Subspace Method for Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Image-set face recognition based on transductive learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2010

2009

Optimal Local Basis: A Reinforcement Learning Approach for Face Recognition.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2009

2007

A hybrid model for face recognition using facial components.

[BibT_eX]

[DOI]

Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

A Hierarchical Face Identification System Based on Facial Components.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2007), 2007

2004

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

[BibT_eX]

[DOI]

Majid Safari

Proceedings of the 2004 International Conference on Image Processing, 2004

Face recognition using reinforcement learning.

[BibT_eX]

Proceedings of the 2004 International Conference on Image Processing, 2004

2003

Low bitrate image compression using self-organized Kohonen maps.

[BibT_eX]

[DOI]

Mohammad Gharavi-Alkhansari

Proceedings of the 2003 International Conference on Image Processing, 2003

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

[BibT_eX]

[DOI]