Training Networks in Null Space of Feature Covariance With Self-Supervision for Incremental Learning

par Wang, Shipeng
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2025)

Unsupervised and Semi-Supervised Robust Spherical Space Domain Adaptation

par Gu, Xiang
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2024)

Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration

par Fu, Jiahong
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2024)

CMW-Net Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning

par Shu, Jun
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2023)

Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions

par Xie, Qi
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2023)

MLR-SNet Transferable LR Schedules for Heterogeneous Tasks

par Shu, Jun
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2023)

Variational Data-Free Knowledge Distillation for Continual Learning

par Li, Xiaorong
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2023)

Variational HyperAdam A Meta-Learning Approach to Network Training

par Wang, Shipeng
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2022)

MHF-Net An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion

par Xie, Qi
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2022)

ADMM-CSNet A Deep Learning Approach for Image Compressive Sensing

par Yang, Yan
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2020)

Nonconvex-sparsity and Nonlocal-smoothness Based Blind Hyperspectral Unmixing

par Yao, Jing
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2019)

Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network

par Cao, Xiangyong
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2018)

Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery

par Xie, Qi
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2018)

Improving Separability of Structures with Similar Attributes in 2D Transfer Function Design

par Lan, Shouren
Publié dans: IEEE transactions on visualization and computer graphics (2017)

Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements

par Cao, Wenfei
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2016)

Enhancing Low-Rank Subspace Clustering by Manifold Regularization

par Liu, Junmin
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2014)

Detection and Reconstruction of an Implicit Boundary Surface by Adaptively Expanding A Small Surface Patch in a 3D Image

par Wang, Lisheng
Publié dans: IEEE transactions on visualization and computer graphics (2014)

Gradient profile prior and its applications in image super-resolution and enhancement

par Sun, Jian
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2011)

Image inpainting by patch propagation using patch sparsity

par Xu, Zongben
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2010)