Learning Deep Match Kernels for Image-Set Classification

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Computer Vision and Pattern Recognition

• Publication date

  2017-07-01

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1109/CVPR.2017.661
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Multi-Target Regression via Robust Low-Rank Learning

  2018cited by this paper
• Numerical Optimization

  2018cited by this paper
• Choroid segmentation from Optical Coherence Tomography with graph-edge weights learned from deep convolutional neural networks

  2017cited by this paper
• Pairwise Linear Regression Classification for Image Set Retrieval

  2016cited by this paper
• Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs

  2015influential reference
• Discriminant analysis on Riemannian manifold of Gaussian distributions for face recognition with image sets

  2015cited by this paper
• Supervised descriptor learning for multi-output regression

  2015cited by this paper
• Projection Metric Learning on Grassmann Manifold with Application to Video based Face Recognition

  2015cited by this paper
• Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification

  2015cited by this paper
• Multi-manifold deep metric learning for image set classification

  2015cited by this paper
• Deep Reconstruction Models for Image Set Classification

  2015cited by this paper
• Dual Linear Regression Based Classification for Face Cluster Recognition

  2014cited by this paper
• Learning Deep Features for Scene Recognition using Places Database

  2014cited by this paper
• Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds

  2014cited by this paper
• From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices

  2014influential reference
• Semi-supervised Spectral Clustering for Image Set Classification

  2014cited by this paper
• Expanding the Family of Grassmannian Kernels: An Embedding Perspective

  2014influential reference
• Learning Object-to-Class Kernels for Scene Classification

  2014cited by this paper
• Image Set Based Face Recognition Using Self-Regularized Non-Negative Coding and Adaptive Distance Metric Learning

  2013cited by this paper
• Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-kernel Metric Learning

  2013cited by this paper
• Covariance discriminative learning: A natural and efficient approach to image set classification

  2012influential reference
• Face Recognition Using Sparse Approximated Nearest Points between Image Sets

  2012cited by this paper
• Aggregating Local Image Descriptors into Compact Codes

  2012cited by this paper
• Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching

  2011influential reference
• LIBSVM: A library for support vector machines

  2011cited by this paper
• Two-Stage Learning Kernel Algorithms

  2010cited by this paper
• Moving vistas: Exploiting motion for describing scenes

  2010influential reference
• Vlfeat: an open and portable library of computer vision algorithms

  2010cited by this paper
• Dimensionality reduction on statistical manifolds

  2009cited by this paper
• Manifold Discriminant Analysis

  2009cited by this paper
• Efficient Match Kernel between Sets of Features for Visual Recognition

  2009cited by this paper
• Kernel Methods for Deep Learning

  2009influential reference
• Face tracking and recognition with visual constraints in real-world videos

  2008cited by this paper
• Et al

  2008cited by this paper
• Incremental Learning for Robust Visual Tracking

  2008cited by this paper
• Grassmann discriminant analysis: a unifying view on subspace-based learning

  2008influential reference
• The Pyramid Match Kernel: Efficient Learning with Sets of Features

  2007cited by this paper
• Geometric Means in a Novel Vector Space Structure on Symmetric Positive-Definite Matrices

  2007cited by this paper
• Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations

  2007influential reference
• Face recognition with image sets using manifold density divergence

  2005cited by this paper
• Histograms of oriented gradients for human detection

  2005cited by this paper
• Mercer kernels for object recognition with local features

  2005influential reference
• Probabilistic kernels for the classification of auto-regressive visual processes

  2005cited by this paper
• Kernel Methods for Pattern Analysis

  2004cited by this paper
• Binet-Cauchy Kernels

  2004cited by this paper
• Analyzing appearance and contour based methods for object categorization

  2003cited by this paper
• Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

  2003cited by this paper
• Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks

  2003cited by this paper
• Face Recognition from Long-Term Observations

  2002influential reference
• On Kernel-Target Alignment

  2001cited by this paper
• Convolution kernels on discrete structures

  1999cited by this paper
• The Geometry of Algorithms with Orthogonality Constraints

  1998cited by this paper
• Strictly positive definite functions on spheres in Euclidean spaces

  1994cited by this paper
• On Estimation of a Probability Density Function and Mode

  1962cited by this paper
• Author Manuscript, Published in "ieee Conference on Computer Vision and Pattern Recognition, San Francisco : United States Face Recognition Based on Image Sets

  year unknowncited by this paper

• Learning a Better SPD Network for Signal Classification: A Riemannian Batch Normalization Method

  2025cites this paper
• Deep Metric Learning on the SPD Manifold for Image Set Classification

  2024cites this paper
• SPD Manifold Deep Metric Learning for Image Set Classification

  2024cites this paper
• 68 landmarks are efficient for 3D face alignment: what about more?

  2023cites this paper
• Riemannian Self-Attention Mechanism for SPD Networks

  2023cites this paper
• Hybrid Riemannian Graph-Embedding Metric Learning for Image Set Classification

  2023cites this paper
• DreamNet: A Deep Riemannian Network based on SPD Manifold Learning for Visual Classification

  2022cites this paper
• Learning a discriminative SPD manifold neural network for image set classification

  2022cites this paper
• Joint Metric Learning-Based Class-Specific Representation for Image Set Classification

  2022cites this paper
• DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning

  2022cites this paper
• Towards deeper match for multi-view oriented multiple kernel learning

  2022cites this paper
• Geometry-Aware Graph Embedding Projection Metric Learning for Image Set Classification

  2022cites this paper
• Discrete Metric Learning for Fast Image Set Classification

  2022cites this paper
• Recognition of Aquatic Invasive Species Larvae Using Autoencoder-Based Feature Averaging

  2022cites this paper
• Bridging deep and multiple kernel learning: A review

  2021cites this paper
• Simultaneous Image Reconstruction and Feature Learning with 3D-CNNs for Image Set–Based Classification

  2021cites this paper
• Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set Classification

  2021cites this paper
• Face recognition: Past, present and future (a review)

  2020cites this paper
• Beyond Covariance: SICE and Kernel Based Visual Feature Representation

  2020cites this paper
• Multi-task image set classification via joint representation with class-level sparsity and intra-task low-rankness

  2020cites this paper
• Joint Statistical and Spatial Sparse Representation for Robust Image and Image-Set Classification

  2020cites this paper
• GrasNet: A Simple Grassmannian Network for Image Set Classification

  2020cites this paper
• Covariance descriptors on a Gaussian manifold and their application to image set classification

  2020cites this paper
• Discriminative block-diagonal covariance descriptors for image set classification

  2020cites this paper
• Gradient-Induced Co-Saliency Detection

  2020cites this paper
• Graph Embedding Multi-Kernel Metric Learning for Image Set Classification With Grassmannian Manifold-Valued Features

  2020cites this paper
• Discriminative Residual Analysis for Image Set Classification With Posture and Age Variations

  2019cites this paper
• Exploring Inter-Instance Relationships within the Query Set for Robust Image Set Matching

  2019cites this paper
• A survey on deep learning based face recognition

  2019cites this paper
• Learning the Set Graphs: Image-Set Classification Using Sparse Graph Convolutional Networks

  2019cites this paper
• More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework Based Kernel Matrix Representation

  2019influential citation
• DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer

  2019cites this paper
• Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning

  2019influential citation
• A Simple Riemannian Manifold Network for Image Set Classification

  2018influential citation
• Utility Balanced Classification for Automatic Electronic Medical Record Analysis

  2018cites this paper