Symmetric Positive Definite (SPD) matrices have received wide attention in machine
learning due to their intrinsic capacity to encode underlying structural correlation in data …

With the development of video network, image set classification (ISC) has received a lot of
attention and can be used for various practical applications, such as video based …

With the development of vision technology, image set classification (ISC) has flourished in
the image processing field. Different from the one-shot image classification, ISC focuses on …

Representing image sets as subspaces on Grassmann manifold and leveraging the
Riemannian geometry of this space has proven to be highly effective in various visual …

Conventional image set methods typically learn from small to medium-sized image set
datasets. However, when applied to large-scale image set applications such as …

There are certain challenges in person re-identification tasks owing to changes in
illumination, color, scale, viewpoint, and occlusion. Data augmentation and multi-branch …

High-dimensional data present significant challenges such as inadequate sample size,
abundance of noise, and the curse of dimensionality, which make many traditional …

Heterogeneous set-to-set matching, applied to fashion outfit recommendations, no longer
depends on the similarity but on compatibility between items in sets. Existing state-of-the-art …

As an important research direction in image and video processing, set-based video
recognition requires speed and accuracy. However, the existing static modeling methods …

Effectively leveraging multi-view information is crucial for in-depth analysis of complex
problems. Currently, the approach of analyzing sets of images has garnered significant …