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Weixiao Dai, Zeming Chen, Benchao Li, Ruisheng Ran
Abstract
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crossref
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Covariance descriptors on a Gaussian manifold and their application to image set classification
10.1016/j.patcog.2020.107463 · 2020
Discriminative subspace learning via optimization on Riemannian manifold
10.1016/j.patcog.2023.109450 · 2023
Prototype learning and collaborative representation using Grassmann manifolds for image set classification
10.1016/j.patcog.2019.107123 · 2020
Dimensionality reduction on SPD manifolds: The emergence of geometry-aware methods
10.1109/tpami.2017.2655048 · 2017
10.1609/aaai.v31i1.10866
10.1609/aaai.v31i1.10866
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Kept as external metadata until matched
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Image-set classification using discriminant neighborhood preserving embedding on Grassmann manifold
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openalex
Confidence 95%
datacite
Confidence 0%
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Neighborhood preserving embedding on Grassmann manifold for image-set analysis
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Learning adaptive Grassmann neighbors for image-set analysis
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A discriminative feature learning approach for deep face recognition
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Length-aware center loss for sequence to sequence Thai scene text recognition
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Worst-case discriminative feature learning via max–min ratio analysis
10.1109/tpami.2023.3323453 · 2024
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10.1109/cvpr52729.2023.01499
Toward robust discriminative projections learning against adversarial patch attacks
10.1109/tnnls.2023.3321606 · 2024
Dual geometry margin optimization for coupled-noisy robust ensemble learning
10.1109/tpami.2026.3679394 · 2026
Symmetric positive definite manifold deep metric learning for bearing fault diagnosis
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Dimensionality reduction by learning an invariant mapping
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U-SPDNet: An SPD manifold learning-based neural network for visual classification
10.1016/j.neunet.2022.11.030 · 2023
A weighted sparse coding model on product Grassmann manifold for video-based human gesture recognition
10.7717/peerj-cs.923 · 2022
Generalized relevance learning Grassmann quantization
10.1109/tpami.2024.3466315 · 2024
Dimensionality reduction of SPD data based on Riemannian manifold tangent spaces and local affinity
10.1007/s10489-022-03177-0 · 2023
A survey of video-based human action recognition in team sports
10.1007/s10462-024-10934-9 · 2024
Efficient augmentation of human action recognition datasets with warped windows
10.1016/j.procs.2022.09.360 · 2022
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10.1109/cvpr.2015.7298609
Nested Grassmanns for dimensionality reduction with applications to shape analysis
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10.1109/cvpr.2015.7298609
10.1109/cvpr.2015.7298609 · doi-reference
Efficient augmentation of human action recognition datasets with warped windows
10.1016/j.procs.2022.09.360 · doi-reference
A survey of video-based human action recognition in team sports
10.1007/s10462-024-10934-9 · doi-reference
Dimensionality reduction of SPD data based on Riemannian manifold tangent spaces and local affinity
10.1007/s10489-022-03177-0 · doi-reference
Generalized relevance learning Grassmann quantization
10.1109/tpami.2024.3466315 · doi-reference
A weighted sparse coding model on product Grassmann manifold for video-based human gesture recognition
10.7717/peerj-cs.923 · doi-reference
U-SPDNet: An SPD manifold learning-based neural network for visual classification
10.1016/j.neunet.2022.11.030 · doi-reference
Dual geometry margin optimization for coupled-noisy robust ensemble learning
10.1109/tpami.2026.3679394 · doi-reference
Toward robust discriminative projections learning against adversarial patch attacks
10.1109/tnnls.2023.3321606 · doi-reference
10.1109/cvpr52729.2023.01499
10.1109/cvpr52729.2023.01499 · doi-reference
Worst-case discriminative feature learning via max–min ratio analysis
10.1109/tpami.2023.3323453 · doi-reference
Length-aware center loss for sequence to sequence Thai scene text recognition
10.1016/j.engappai.2025.112182 · doi-reference
10.18653/v1/2022.emnlp-main.347
10.18653/v1/2022.emnlp-main.347 · doi-reference
Improving augmentation consistency for graph contrastive learning
10.1016/j.patcog.2023.110182 · doi-reference
Asil: Augmented structural information learning for deep graph clustering in hyperbolic space
10.1109/tpami.2026.3661424 · doi-reference
Nonlinear dimensionality reduction by locally linear embedding
10.1126/science.290.5500.2323 · doi-reference
Generalized Laplacian eigenmaps
10.52202/068431-2232 · doi-reference
10.1609/aaai.v32i1.11725
10.1609/aaai.v32i1.11725 · doi-reference
Learning adaptive Grassmann neighbors for image-set analysis
10.1016/j.eswa.2024.123316 · doi-reference
Neighborhood preserving embedding on Grassmann manifold for image-set analysis
10.1016/j.patcog.2021.108335 · doi-reference
SymNet: A simple symmetric positive definite manifold deep learning method for image set classification
10.1109/tnnls.2020.3044176 · doi-reference
10.1109/cvpr52734.2025.00776
10.1109/cvpr52734.2025.00776 · doi-reference
10.1109/cvpr.2012.6247965
10.1109/cvpr.2012.6247965 · doi-reference
10.1609/aaai.v37i6.25867
10.1609/aaai.v37i6.25867 · doi-reference
Image-set classification using discriminant neighborhood preserving embedding on Grassmann manifold
10.1016/j.sigpro.2025.110028 · doi-reference
Locality preserving projection on SPD matrix Lie group: algorithm and analysis
10.1007/s11432-017-9233-4 · doi-reference
Learning a better SPD network for signal classification: A Riemannian batch normalization method
10.1109/tnnls.2025.3589362 · doi-reference
10.1609/aaai.v31i1.10866
10.1609/aaai.v31i1.10866 · doi-reference
Dimensionality reduction on SPD manifolds: The emergence of geometry-aware methods
10.1109/tpami.2017.2655048 · doi-reference
Prototype learning and collaborative representation using Grassmann manifolds for image set classification
10.1016/j.patcog.2019.107123 · doi-reference
Discriminative subspace learning via optimization on Riemannian manifold
10.1016/j.patcog.2023.109450 · doi-reference
Covariance descriptors on a Gaussian manifold and their application to image set classification
10.1016/j.patcog.2020.107463 · doi-reference