Unsupervised layered image decomposition into object prototypes
We present an unsupervised learning framework for decomposing images into layers of
automatically discovered object models. Contrary to recent approaches that model image …
automatically discovered object models. Contrary to recent approaches that model image …
Deep transformation-invariant clustering
Recent advances in image clustering typically focus on learning better deep
representations. In contrast, we present an orthogonal approach that does not rely on …
representations. In contrast, we present an orthogonal approach that does not rely on …
SpaceJAM: a Lightweight and Regularization-Free Method for Fast Joint Alignment of Images
The unsupervised task of Joint Alignment (JA) of images is beset by challenges such as high
complexity, geometric distortions, and convergence to poor local or even global optima …
complexity, geometric distortions, and convergence to poor local or even global optima …
An Efficient New Robust PCA Method for Joint Image Alignment and Reconstruction via the L2,1 Norms and Affine Transformation
In this study, an effective robust PCA is developed for joint image alignment and recovery via
L2, 1 norms and affine transformations. To alleviate the potential impacts of outliers, heavy …
L2, 1 norms and affine transformations. To alleviate the potential impacts of outliers, heavy …
Recurrent affine transform encoder for image representation
This paper proposes a Recurrent Affine Transform Encoder (RATE) that can be used for
image representation learning. We propose a learning architecture that enables a CNN …
image representation learning. We propose a learning architecture that enables a CNN …
Cryo-EM image alignment: From pair-wise to joint with deep unsupervised difference learning
YX Chen, D Feng, HB Shen - Journal of Structural Biology, 2023 - Elsevier
Cryo-electron microscopy (cryo-EM) single-particle analysis is a revolutionary imaging
technique to resolve and visualize biomacromolecules. Image alignment in cryo-EM is an …
technique to resolve and visualize biomacromolecules. Image alignment in cryo-EM is an …
Phased groupwise face alignment
A face does not only have rigid variations but also non-rigid distortions, which has
influenced the performance of groupwise face alignment. A novel method for groupwise face …
influenced the performance of groupwise face alignment. A novel method for groupwise face …
[PDF][PDF] Research Article An Efficient New Robust PCA Method for Joint Image Alignment and Reconstruction via the L 2, Norms and Affine Transformation
HT Likassa, Y **a, B Gotu - 2022 - academia.edu
In this study, an effective robust PCA is developed for joint image alignment and recovery via
L 2, 1 norms and affine transformations. To alleviate the potential impacts of outliers, heavy …
L 2, 1 norms and affine transformations. To alleviate the potential impacts of outliers, heavy …
Joint alignment of image faces
Researches on face alignment have made great progress, which benefits from the use of
prior information and auxiliary models. However, that information lacks in a single face …
prior information and auxiliary models. However, that information lacks in a single face …
MS2BC-a Multi-view Space Structure-Based Clustering Algorithm
SHI **n-rui, Q Yu-hua, L Fei-jiang - Journal of Southwest …, 2020 - xbgjxt.swu.edu.cn
Clustering analysis is an important task in the field of machine learning and data mining. In
recent years, a large number of clustering algorithms have been proposed and successfully …
recent years, a large number of clustering algorithms have been proposed and successfully …