Search Results

Despite the emerging research on adversarial attacks against knowledge graph embedding (KGE) models, most of them focus on white-box attack settings. However, white-box attacks are difficult to apply in practice compared to black-box attacks since they ...

RGB-T single-object tracking aims to track objects utilizing both RGB images and thermal infrared(TIR) images. Though the siamese-based RGB-T tracker shows its advantage in tracking speed, its accuracy still cannot be compared with other state-of-...

• feature extraction use multi-scale strategy and channel spatial fusion strategy.
• Introduce a self-attention interaction module to facilitate fast convergence.
• Our proposed method achieved the best performance compared to other ...

Recent advancements in cross-domain few-shot learning (CD-FSL) primarily focus on learning to compare global representations between query and support images for classification. However, due to the notorious cross-domain semantic gap, the ideal ...

• We present a novel framework for CDFSL.
• The proposed method has strong generalization ability.
• The proposed method achieves state-of-the-art performance.

We seek the best traffic allocation scheme for the edge–cloud networking subject to SD-WAN architecture and burstable billing. First, we formulate a family of quantile-based integer programming problems for a fixed network topology with random ...

Hyperspectral (HS) image always suffers from the deficiency of low spatial resolution, compared with conventional optical image types, which has limited its further applications in remote sensing areas. Therefore, HS image super-resolution (SR) ...

• A transposed convolutional bi-directional LSTM SR network is constructed for HS image.
• The network aims at modeling the spatial–sequential correlated features of HS bands.
• Multi-dimensional attention mechanism (MDAM) is proposed.

Emotional Video Captioning (EVC) is an emerging task that aims to describe factual content with the intrinsic emotions expressed in videos. The essential of the EVC task is to effectively perceive subtle and ambiguous visual emotional cues during the ...

Accurate long-term viewport prediction in tile-based 360° video adaptive streaming helps pre-download tiles for a further future, thus establishing a longer buffer to cope with network fluctuations. Long-term viewport motion is mainly influenced by ...

High frame-rate~(HFR) videos of action recognition improve fine-grained expression while reducing the spatio-temporal relation and motion information density. Thus, large amounts of video samples are continuously required for traditional data-driven ...

Generative adversarial networks (GAN) and generative diffusion models (DM) have been widely used in real-world image super-resolution (Real-ISR) to enhance the image perceptual quality. However, these generative models are prone to generating visual ...

Learning multiple proxy tasks is a popular training strategy in semi-supervised video anomaly detection. However, the traditional method of learning multiple proxy tasks simultaneously is prone to suboptimal solutions, and simply executing multiple proxy ...

Most multi-view clustering methods based on shallow models are limited in sound nonlinear information perception capability, or fail to effectively exploit complementary information hidden in different views. To tackle these issues, we propose a novel ...

In recent years, Graph Neural Networks (GNNs) have attracted considerable attention. However, the rapid emergence of diverse GNN models, each grounded in different theoretical foundations, complicates the model selection process, as these models are not ...

In contemporary times, artificial intelligence is extensively applied across domains, concurrently raising concerns about privacy breaches. In response, federated learning has emerged as a promising solution that allows multiple parties to ...

• Propose a fuzzy clustering-based FL framework for the under utilization of data.
• Propose a recursive bi-partitioning clustering algorithm for client partitioning.
• Design a model fusion strategy to enhance the performance of ...

Recently, the transformer has exhibited remarkable performance across various applications, primarily owing to its exceptional capability in capturing global information through the attention mechanism. Nevertheless, the dot-product within ...

• The concept of fuzzy preference matroids rough set is introduced.
• A novel approximate guided representation method is developed.
• Constructed a plug-and-play transformer block based on the proposed method.
• The effectiveness and ...

Due to the rapid development of the Internet of Vehicles (IoV), the combination of IoV and edge computing, known as vehicle edge computing (VEC), has received considerable attention from both academia and industry. However, task offloading in ...

Immersive authoring provides an intuitive medium for users to create 3D scenes via direct manipulation in Virtual Reality (VR). Recent advances in generative AI have enabled the automatic creation of realistic 3D layouts. However, it is unclear how ...

The lightweight models for automatic medical image segmentation have the potential to advance health equity, particularly in limited-resource settings. Nevertheless, their reduced parameters and computational complexity compared to state-of-the-...$\mathrm{}$$\mathrm{}$$\mathrm{}$$\mathrm{}$$\mathrm{}$$\mathrm{}$

The Transformer architecture and versatile CNN backbones have led to advanced progress in sequence modeling and dense prediction tasks. A critical development is the incorporation of different token mixing modules such as ConvNeXt, Swin ...

The early detection and precise diagnosis of liver tumors are tasks of critical clinical value, yet they pose significant challenges due to the high heterogeneity and variability of liver tumors. In this work, a precise LIver tumor DIAgnosis ...

Considering imperfect successive interference cancellation (SIC) for non-orthogonal multiple access (NOMA) communications, this work studies the cooperative reconfigurable intelligent surface (RIS)- and relay-assisted system under Nakagami-m ...