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

von Gao, Zhi
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2023)

Learning to Optimize on Riemannian Manifolds

von Gao, Zhi
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2023)

Attention in Attention Networks for Person Retrieval

von Fang, Pengfei
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2022)

Learning Log-Determinant Divergences for Positive Definite Matrices

von Cherian, Anoop
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2022)

Learning Saliency From Single Noisy Labelling A Robust Model Fitting Perspective

von Zhang, Jing
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2021)

Domain Adaptation by Joint Distribution Invariant Projections

von Chen, Sentao
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2020)

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

von Huang, Wenbing
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2019)

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

von Harandi, Mehrtash
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2018)

Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels

von Jayasumana, Sadeep
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2015)

Discriminative Non-Linear Stationary Subspace Analysis for Video Classification

von Baktashmotlagh, Mahsa
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2014)