On the public citation graph
RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material Recognition
0 signed · 107 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jmva.1999.1853openalex-snapshot
Multivariate Normal Distributions Parametrized as a Riemannian Symmetric Space
inferredcites →https://doi.org/10.1007/11566465_15openalex-snapshot
Fast and Simple Calculus on Tensors in the Log-Euclidean Framework
inferredcites →https://doi.org/10.1007/11744047_45openalex-snapshot
Region Covariance: A Fast Descriptor for Detection and Classification
inferredcites →https://doi.org/10.1007/978-3-319-10584-0_26openalex-snapshot
Multi-scale Orderless Pooling of Deep Convolutional Activation Features
inferredcites →https://doi.org/10.1007/978-3-319-10605-2_2openalex-snapshot
From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices
inferredcites →https://doi.org/10.1007/978-3-642-33712-3_34openalex-snapshot
Local Log-Euclidean Covariance Matrix (L2ECM) for Image Representation and Its Applications
inferredcites →https://doi.org/10.1007/s11263-013-0609-0openalex-snapshot
Recognizing Materials Using Perceptually Inspired Features
inferredcites →https://doi.org/10.1007/s11263-013-0636-xopenalex-snapshot
Image Classification with the Fisher Vector: Theory and Practice
inferredcites →https://doi.org/10.1016/j.cviu.2015.01.005openalex-snapshot
GOLD: Gaussians of Local Descriptors for image representation
inferredcites →https://doi.org/10.1016/s0047-259x(03)00096-4openalex-snapshot
A well-conditioned estimator for large-dimensional covariance matrices
inferredcites →https://doi.org/10.1017/cbo9780511976667openalex-snapshot
Quantum Computation and Quantum Information
inferredcites →https://doi.org/10.1109/cvpr.2006.94openalex-snapshot
Covariance Tracking using Model Update Based on Lie Algebra
inferredcites →https://doi.org/10.1109/cvpr.2010.5539914openalex-snapshot
Large-scale image categorization with explicit data embedding
inferredcites →https://doi.org/10.1109/cvpr.2010.5539921openalex-snapshot
Global Gaussian approach for scene categorization using information geometry
inferredcites →https://doi.org/10.1109/cvpr.2012.6247965openalex-snapshot
Covariance discriminative learning: A natural and efficient approach to image set classification
inferredcites →https://doi.org/10.1109/cvpr.2012.6248018openalex-snapshot
Three things everyone should know to improve object retrieval
inferredcites →https://doi.org/10.1109/cvpr.2013.129openalex-snapshot
Non-parametric Filtering for Geometric Detail Extraction and Material Representation
inferredcites →https://doi.org/10.1109/cvpr.2014.132openalex-snapshot
Bregman Divergences for Infinite Dimensional Covariance Matrices
inferredcites →https://doi.org/10.1109/cvpr.2014.461openalex-snapshot
Describing Textures in the Wild
inferredcites →https://doi.org/10.1109/cvpr.2015.7298916openalex-snapshot
Scene classification with semantic Fisher vectors
inferredcites →https://doi.org/10.1109/cvpr.2015.7298970openalex-snapshot
Material recognition in the wild with the Materials in Context Database
inferredcites →https://doi.org/10.1109/cvpr.2015.7299007openalex-snapshot
Deep filter banks for texture recognition and segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7299194openalex-snapshot
Fine-grained recognition without part annotations
inferredcites →https://doi.org/10.1109/icassp.2015.7178193openalex-snapshot
Approximate infinite-dimensional Region Covariance Descriptors for image classification
inferredcites →https://doi.org/10.1109/iccv.2005.54openalex-snapshot
Class-specific material categorisation
inferredcites →https://doi.org/10.1109/iccv.2013.202openalex-snapshot
Log-Euclidean Kernels for Sparse Representation and Dictionary Learning
inferredcites →https://doi.org/10.1109/iccv.2013.212openalex-snapshot
A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models
inferredcites →https://doi.org/10.1109/iccv.2015.170openalex-snapshot
Bilinear CNN Models for Fine-Grained Visual Recognition
inferredcites →https://doi.org/10.1109/tpami.2006.120openalex-snapshot
From sample similarity to ensemble similarity: probabilistic distance measures in reproducing kernel Hilbert space
inferredcites →https://doi.org/10.1109/tpami.2008.75openalex-snapshot
Pedestrian Detection via Classification on Riemannian Manifolds
inferredcites →https://doi.org/10.1109/tpami.2011.153openalex-snapshot
Efficient Additive Kernels via Explicit Feature Maps
inferredcites →https://doi.org/10.1109/tpami.2014.2361137openalex-snapshot
Free-Form Region Description with Second-Order Pooling
inferredcites →https://doi.org/10.1109/tpami.2015.2414422openalex-snapshot
Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels
inferredcites →https://doi.org/10.1109/tsp.2010.2053029openalex-snapshot
Shrinkage Algorithms for MMSE Covariance Estimation
inferredcites →https://doi.org/10.1109/wacv.2015.105openalex-snapshot
Material Classification on Symmetric Positive Definite Manifolds
inferredcites →https://doi.org/10.1111/j.0006-341x.2001.01173.xopenalex-snapshot
Shrinkage Estimators for Covariance Matrices
inferredcites →https://doi.org/10.1111/j.1467-9868.2012.01049.xopenalex-snapshot
Condition-Number-Regularized Covariance Estimation
inferredcites →https://doi.org/10.1119/1.1463744openalex-snapshot
Quantum Computation and Quantum Information
inferredcites →https://doi.org/10.1137/060649021openalex-snapshot
Matrix Nearness Problems with Bregman Divergences
inferredcites →https://doi.org/10.1167/9.8.784openalex-snapshot
Material perception: What can you see in a brief glance?
inferredcites →https://doi.org/10.48550/arxiv.1310.1531openalex-snapshot
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1412.4564openalex-snapshot
MatConvNet - Convolutional Neural Networks for MATLAB
inferredcites →https://doi.org/10.5244/c.28.6openalex-snapshot
Return of the Devil in the Details: Delving Deep into Convolutional Nets
inferredcites →https://doi.org/10.5555/1577069.1577082openalex-snapshot
Low-Rank Kernel Learning with Bregman Matrix Divergences
inferredcites →https://doi.org/10.57702/i9oeewf6openalex-snapshot
Caltech-UCSD Birds-200-2011 Dataset
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-00776-8_41openalex-snapshot
Robust Deep Gaussian Descriptor for Texture Recognition
inferred← citeshttps://doi.org/10.1007/978-3-030-01234-2_37openalex-snapshot
Statistically-Motivated Second-Order Pooling
inferred← citeshttps://doi.org/10.1007/978-3-030-03338-5_38openalex-snapshot
Set-to-Set Distance Metric Learning on SPD Manifolds
inferred← citeshttps://doi.org/10.1007/978-3-030-20887-5_16openalex-snapshot
An Unsupervised Deep Learning Framework via Integrated Optimization of Representation Learning and GMM-Based Modeling
inferred← citeshttps://doi.org/10.1007/978-3-030-58529-7_13openalex-snapshot
Toward Faster and Simpler Matrix Normalization via Rank-1 Update
inferred← citeshttps://doi.org/10.1007/978-3-030-73973-7_28openalex-snapshot
Multi-layer PCA Network for Image Classification
inferred← citeshttps://doi.org/10.1007/978-3-031-15937-4_45openalex-snapshot
AFS: Attention Using First and Second Order Information to Enrich Features
inferred← citeshttps://doi.org/10.1007/978-3-319-92537-0_65openalex-snapshot
Bird Species Recognition Based on Deep Learning and Decision Fusion
inferred← citeshttps://doi.org/10.1016/j.cmpb.2025.109042openalex-snapshot
PM2: A new prompting multi-modal model paradigm for few-shot medical image classification
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.12.020openalex-snapshot
Hyperlayer Bilinear Pooling with application to fine-grained categorization and image retrieval
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.02.001openalex-snapshot
Learning second-order statistics for place recognition based on robust covariance estimation of CNN features
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.03.003openalex-snapshot
Second-order encoding networks for semantic segmentation
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.01.084openalex-snapshot
Reconciliation of statistical and spatial sparsity for robust visual classification
inferred← citeshttps://doi.org/10.1016/j.patcog.2020.107463openalex-snapshot
Covariance descriptors on a Gaussian manifold and their application to image set classification
inferred← citeshttps://doi.org/10.1016/j.patcog.2021.108397openalex-snapshot
Infinite-dimensional feature aggregation via a factorized bilinear model
inferred← citeshttps://doi.org/10.1088/1742-6596/1544/1/012129openalex-snapshot
A signal detection method based on matrix information geometric dimensionality reduction
inferred← citeshttps://doi.org/10.1109/access.2018.2797419openalex-snapshot
Robust Covariance Representations With Large Margin Dimensionality Reduction for Visual Classification
inferred← citeshttps://doi.org/10.1109/access.2019.2923530openalex-snapshot
Data Augmentation and Second-Order Pooling for Facial Expression Recognition
inferred← citeshttps://doi.org/10.1109/access.2019.2934321openalex-snapshot
Deep Covariance Estimation Hashing
inferred← citeshttps://doi.org/10.1109/access.2023.3320682openalex-snapshot
A Survey on the Deep Learning-Based Mismatch Removal: Principles and Methods
inferred← citeshttps://doi.org/10.1109/civemsa45640.2019.9071626openalex-snapshot
An Approach to Estimate Emissivity For Thermography-based Material Recognition
inferred← citeshttps://doi.org/10.1109/cvpr.2017.689openalex-snapshot
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00105openalex-snapshot
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00522openalex-snapshot
Deep Global Generalized Gaussian Networks
inferred← citeshttps://doi.org/10.1109/healthcom49281.2021.9398999openalex-snapshot
Multimodal Surface Material Classification Based on Ensemble Learning with Optimized Features
inferred← citeshttps://doi.org/10.1109/iccv.2017.228openalex-snapshot
Is Second-Order Information Helpful for Large-Scale Visual Recognition?
inferred← citeshttps://doi.org/10.1109/iccvw.2019.00354openalex-snapshot
More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework Based Kernel Matrix Representation
inferred← citeshttps://doi.org/10.1109/icip.2019.8803363openalex-snapshot
Deep Covariance Estimation Hashing for Image Retrieval
inferred← citeshttps://doi.org/10.1109/icip40778.2020.9191248openalex-snapshot
Joint Statistical and Spatial Sparse Representation for Robust Image and Image-Set Classification
inferred← citeshttps://doi.org/10.1109/icpr.2018.8545822openalex-snapshot
Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification
inferred← citeshttps://doi.org/10.1109/igarss.2019.8898849openalex-snapshot
Hierarchical Deep Feature Representation for High-Resolution Scene Classification
inferred← citeshttps://doi.org/10.1109/jstars.2024.3456854openalex-snapshot
Dynamic Convolution Covariance Network Using Multiscale Feature Fusion for Remote Sensing Scene Image Classification
inferred← citeshttps://doi.org/10.1109/mmsp48831.2020.9287058openalex-snapshot
Generalized Operational Classifiers for Material Identification
inferred← citeshttps://doi.org/10.1109/tcsvt.2017.2712704openalex-snapshot
An Information Geometry-Based Distance Between High-Dimensional Covariances for Scalable Classification
inferred← citeshttps://doi.org/10.1109/tim.2017.2764298openalex-snapshot
Multimodal Measurements Fusion for Surface Material Categorization
inferred← citeshttps://doi.org/10.1109/tim.2020.2978572openalex-snapshot
A Framework for Thermographic Material Characterization Using Multichannel Neural Network
inferred← citeshttps://doi.org/10.1109/tip.2017.2686017openalex-snapshot
Multi-Scale Multi-Feature Context Modeling for Scene Recognition in the Semantic Manifold
inferred← citeshttps://doi.org/10.1109/tip.2018.2883794openalex-snapshot
Full-Vector Gradient for Multi-Spectral or Multivariate Images
inferred← citeshttps://doi.org/10.1109/tip.2019.2903300openalex-snapshot
Texture Classification in Extreme Scale Variations Using GANet
inferred← citeshttps://doi.org/10.1109/tkde.2022.3208063openalex-snapshot
Distribution Knowledge Embedding for Graph Pooling
inferred← citeshttps://doi.org/10.1109/tnnls.2019.2939177openalex-snapshot
A Robust Distance Measure for Similarity-Based Classification on the SPD Manifold
inferred← citeshttps://doi.org/10.1109/tpami.2017.2655048openalex-snapshot
Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods
inferred← citeshttps://doi.org/10.1109/tpami.2019.2914686openalex-snapshot
Hierarchical Gaussian Descriptors with Application to Person Re-Identification
inferred← citeshttps://doi.org/10.1109/tpami.2020.2974833openalex-snapshot
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization
inferred← citeshttps://doi.org/10.1109/tpami.2023.3321392openalex-snapshot
Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective
inferred← citeshttps://doi.org/10.1371/journal.pone.0206798openalex-snapshot
Improved linear classifier model with Nyström
inferred← citeshttps://doi.org/10.1609/aaai.v35i4.16435openalex-snapshot
Fast and Compact Bilinear Pooling by Shifted Random Maclaurin
inferred← citeshttps://doi.org/10.1609/aaai.v36i3.20225openalex-snapshot
Efficient Compact Bilinear Pooling via Kronecker Product
inferred← citeshttps://doi.org/10.2200/s00801ed1v01y201709cov011openalex-snapshot
Covariances in Computer Vision and Machine Learning
inferred← citeshttps://doi.org/10.24963/ijcai.2018/449openalex-snapshot
Towards Generalized and Efficient Metric Learning on Riemannian Manifold
inferred← citeshttps://doi.org/10.26599/tst.2018.9010095openalex-snapshot
Fabric recognition using zero-shot learning
inferred← citeshttps://doi.org/10.32657/10356/174167openalex-snapshot
Image classification with limited data information
inferred← citeshttps://doi.org/10.3390/e22090914openalex-snapshot
Matrix Information Geometry for Spectral-Based SPD Matrix Signal Detection with Dimensionality Reduction
inferred← citeshttps://doi.org/10.3390/rs16173178openalex-snapshot
Auroral Image Classification Based on Second-Order Convolutional Network and Channel Attention Awareness
inferred← citeshttps://doi.org/10.48550/arxiv.2106.00256openalex-snapshot
Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set Classification
inferred← citeshttps://doi.org/10.70675/e13d381ez4895z4195z8368zb242f219c1d0openalex-snapshot
High-order statistics for image representations in metric learning
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.