A review on human activity recognition using vision‐based method
Human activity recognition (HAR) aims to recognize activities from a series of observations
on the actions of subjects and the environmental conditions. The vision‐based HAR …
on the actions of subjects and the environmental conditions. The vision‐based HAR …
Deep learning-based spacecraft relative navigation methods: A survey
Autonomous spacecraft relative navigation technology has been planned for and applied to
many famous space missions. The development of on-board electronics systems has …
many famous space missions. The development of on-board electronics systems has …
Fine-grained image-text matching by cross-modal hard aligning network
Z Pan, F Wu, B Zhang - … of the IEEE/CVF conference on …, 2023 - openaccess.thecvf.com
Current state-of-the-art image-text matching methods implicitly align the visual-semantic
fragments, like regions in images and words in sentences, and adopt cross-attention …
fragments, like regions in images and words in sentences, and adopt cross-attention …
On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation
Understanding and interpreting classification decisions of automated image classification
systems is of high value in many applications, as it allows to verify the reasoning of the …
systems is of high value in many applications, as it allows to verify the reasoning of the …
Deep filter banks for texture recognition and segmentation
Research in texture recognition often concentrates on the problem of material recognition in
uncluttered conditions, an assumption rarely met by applications. In this work we conduct a …
uncluttered conditions, an assumption rarely met by applications. In this work we conduct a …
Enhanced performance of brain tumor classification via tumor region augmentation and partition
Automatic classification of tissue types of region of interest (ROI) plays an important role in
computer-aided diagnosis. In the current study, we focus on the classification of three types …
computer-aided diagnosis. In the current study, we focus on the classification of three types …
From BoW to CNN: Two decades of texture representation for texture classification
Texture is a fundamental characteristic of many types of images, and texture representation
is one of the essential and challenging problems in computer vision and pattern recognition …
is one of the essential and challenging problems in computer vision and pattern recognition …
Blind image quality assessment based on high order statistics aggregation
Blind image quality assessment (BIQA) research aims to develop a perceptual model to
evaluate the quality of distorted images automatically and accurately without access to the …
evaluate the quality of distorted images automatically and accurately without access to the …
Bag of visual words and fusion methods for action recognition: Comprehensive study and good practice
Video based action recognition is one of the important and challenging problems in
computer vision research. Bag of visual words model (BoVW) with local features has been …
computer vision research. Bag of visual words model (BoVW) with local features has been …
Salient color names for person re-identification
Color naming, which relates colors with color names, can help people with a semantic
analysis of images in many computer vision applications. In this paper, we propose a novel …
analysis of images in many computer vision applications. In this paper, we propose a novel …