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Line art animation colorization aims to colorize a sequence of line art frames with a reference while ensuring semantic alignment across frames. Recent methods have utilized similarity metrics to maintain inter-frame semantic alignment. However, ...

• We propose MGC-Net for motion-guided colorization using pixel-to-pixel color mapping.
• The HCD module ensures coarse pixel alignment via motion distillation loss.
• The CR module refines alignments using a contextual dependencies.

Multiple object tracking (MOT) has emerged as a crucial component of the rapidly developing computer vision. However, existing multi-object tracking methods often overlook the relationship between features and motion, hindering the ability to strike a ...

As high performance computing systems consisting of multiple processors play an important role in big data analytics, we are motivated to focus on the research of reliability, design-for-test, fault diagnosis and detection of large-scale ...

Despite achieving remarkable performance, Federated Learning (FL) encounters two important problems, i.e., low training efficiency and limited computational resources. In this article, we propose a new FL framework, i.e., FedDUMAP, with three original ...

Microservices are increasingly used in modern applications, leading to a growing need for effective service composition solutions. However, we argue that traditional API-centric composition mechanisms (e.g., RPC, REST, and Pub/Sub) hamper the modularity ...

Multi-source cross-lingual transfer aims to acquire task knowledge from multiple labelled source languages and transfer it to an unlabelled target language, enabling effective performance in this target language. The existing methods mainly focus ...

• Propose a discrepancy-guided de-noising method to learn discriminative representations.
• Propose a pseudo-label supervised mutual learning method to promote mutual guidance.
• Propose a de-noising mutual learning method for multi-...

Visual simultaneous localization and mapping (VSLAM) is a crucial technology in intelligent vehicles that relies on either explicit or implicit representations. Explicit methods are prevalent in real-time systems, offer precise geometric control, and are ...

A stable financial environment is requisite for the continuous growth of the E-business market, emphasizing the importance of credit risk assessment. Generally, credit risk assessment involves evaluating the creditworthiness of the economic ...

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• An attention-based feature cost-awareness method has been proposed, which enhances the contribution of crucial features and diminishes the irrelevant ones via the feature importance estimation.
• To tackle the challenge of multi-view ...

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 ...

Tumor Spread Through Air Spaces (STAS), identified as a mechanism of invasion, has been substantiated by multiple studies to be associated with lower survival rates, underscoring its significant prognostic implications. In clinical practice, ...

In the domain of Camouflaged Object Segmentation (COS), despite continuous improvements in segmentation performance, the underlying mechanisms of effective camouflage remain poorly understood, akin to a black box. To address this gap, we present ...

Neural implicit surface reconstruction has achieved remarkable progress recently. Despite resorting to complex radiance modeling, state-of-the-art methods still struggle with textureless and specular surfaces. Different from RGB images, ...$\mathrm{}\mathrm{}$

Abstract: With the rapid development of intelligent technologies in recent years, to enhance the level of intelligence in semantic modeling and automated processing of editing and publishing systems, this paper designs an intelligent editing and ...

To address the challenges of limited computing resources, complex data processing, and high security requirements in the editorial and publishing process, this paper proposes a collaborative platform that integrates cloud computing and intelligent ...

In this paper, a robustness-enhanced reconstruction for the high-order finite volume scheme is constructed on the 2-D structured mesh, and both the high-order gas-kinetic scheme and the Lax-Friedrichs flux solver are considered to verify the ...

Digital signatures are fundamental building blocks in various protocols to provide integrity and authenticity. The development of the quantum computing has raised concerns about the security guarantees afforded by classical signature schemes. CRYSTALS-...

Fault diagnosis plays a crucial role in the fault tolerability assessment of an interconnection network, which is of great value in the design and maintenance of large-scale multiprocessor systems. A t/s-diagnostic strategy, as the generalization ...

• The direct-seeding path for rice covers the entire field.
• Rice direct-seeding path includes the encircling path around the field blocks.
• Encircling path planning algorithm is applicable to different shapes fields.
• The path ...

Path planning is one of the key technologies that determines the efficiency and quality of field operations using autonomous agricultural machinery. To date, there has been extensive research on global coverage path planning for unmanned ...

The utilization of cloud infrastructure and its extensive range of Internet-accessible resources holds significant potential for advancing intelligent transportation and robotics. Over the past two decades, interest in cloud-edge collaborative ...

Conversational recommendation systems elicit user preferences by interacting with users to obtain their feedback on recommended commodities. Such systems utilize a multi-armed bandit framework to learn user preferences in an online manner and have ...