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Recent advances in scene image representation and classification
With the rise of deep learning algorithms nowadays, scene image representation methods have achieved a significant performance boost, particularly in...
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Controllable image generation based on causal representation learning
Artificial intelligence generated content (AIGC) has emerged as an indispensable tool for producing large-scale content in various forms, such as...
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Self-encoded chimera transform for digital image representation
During the last decade, there has been an increased focus on representing images using mathematical expressions. The initial stages towards achieving...
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Improved image representation and sparse representation for face recognition
Sparse representation is of great significance to the research of face recognition. Due to factors such as illumination, angle, and facial features,...
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Efficient representation of bit-planes for quantum image processing
Quantum computers can be used for efficient storage, processing and transmission of digital images. It involves exploitation of quantum properties to...
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Multi-view hyperspectral image classification via weighted sparse representation
Hyperspectral image classification aims to classify pixels in hyperspectral image into different land-cover classes. Considering multi-view data can...
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Recent advances via convolutional sparse representation model for pixel-level image fusion
Image fusion aims to integrate complementary information from different source images into the final output image. This plays a significant role in...
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Multi-label image classification with multi-layered multi-perspective dynamic semantic representation
With the development of deep learning techniques, multi-label image classification tasks have achieved good performance. Recently, graph...
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A new multi-focus image fusion quality assessment method with convolutional sparse representation
Assessing image fusion quality purposefully is a challenging task due to the diversities of fused features. In this work, a specific multi-focus...
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Image-text matching using multi-subspace joint representation
Joint representation learning has been an attractive way to solve image-text retrieval problem due to its efficiency on both time and storage. On the...
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Image inpainting based on sparse representation using self-similar joint sparse coding
In order to improve the sparse coding ability of over-complete dictionary and take advantage of the similarity between damaged pixels and their...
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Towards efficient image-based representation of tabular data
Convolutional neural networks (CNNs) have been widely used in image classification tasks and have achieved remarkable results compared with...
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Alignment efficient image-sentence retrieval considering transferable cross-modal representation learning
Traditional image-sentence cross-modal retrieval methods usually aim to learn consistent representations of heterogeneous modalities, thereby to...
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A novel text representation which enables image classifiers to also simultaneously classify text, applied to name disambiguation
We introduce a novel method for converting text data into abstract image representations, which allows image-based processing techniques (e.g. image...
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Multi-view graph representation learning for hyperspectral image classification with spectral–spatial graph neural networks
Hyperspectral image (HSI) classification benefits from effectively handling both spectral and spatial features. However, deep learning (DL) models,...
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Image representation method based on Gaussian function and non-uniform partition
Image representation or reconstruction methods are important in digital image processing. Due to different image features happening in different...
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Low-light image enhancement with geometrical sparse representation
Low-light image enhancement (LLIE) can improve the visibility of low-light images. Low-light images exhibit a series of visual degradation, such as...
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Mixed noise reduction via sparse error constraint representation of high frequency image for wildlife image
Wildlife image noise reduction is a difficult and challenging problem since the images are inevitably corrupted by the mixed noise in the complex...
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altiro3d: scene representation from single image and novel view synthesis
AbstractWe introduce altiro3D, a free extended C++ library developed to represent reality starting from a given original RGB image or flat video. It...
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Multi-instance discriminative contrastive learning for brain image representation
This paper focuses on the problem of learning discriminative representation for brain images, which is a critical task toward understanding brain...
