Recently, text-to-3D generation has attracted significant attention, resulting in notable performance enhancements. Previous methods utilize end-to-end 3D generation models to initialize 3D Gaussians, multi-view diffusion models to enforce multi-view ...

Scene text retrieval aims to find all images containing the query text from an image gallery. Current efforts tend to adopt an Optical Character Recognition (OCR) pipeline, which requires complicated text detection and/or recognition processes, resulting ...

Face anti-spoofing (FAS) based on domain generalization (DG) has attracted increasing attention from researchers. The reason for the poor generalization is that the model is overfitted to salient liveness-irrelevant signals. However, the previous methods ...

There has been an increasing focus on domain-generalized (DG) face anti-spoofing (FAS). However, existing methods aim to project a shared visual space through adversarial training, making exploring the space without losing semantic information ...

Fuzz driver generation (FDG) is a fundamental technique for fuzzing library software. Existing FDG approaches have been highly successful with open-source libraries. However, in practice, due to the complex nature of OEM Android frameworks (e.g., ...

The precise subtype classification of myeloproliferative neoplasms (MPNs) based on multimodal information, which assists clinicians in diagnosis and long-term treatment plans, is of great clinical significance. However, it remains a great ...

Multi-modality magnetic resonance imaging (MRI) is crucial for accurate disease diagnosis and surgical planning by comprehensively analyzing multi-modality information fusion. This fusion is characterized by unique patterns of information ...${}^{\mathrm{}}$${}^{\mathrm{}}$${}^{\mathrm{}}$

As highlighted in authoritative standards (e.g., ISO21448), traffic law compliance is a fundamental prerequisite for the commercialization of autonomous driving systems (ADS). Hence, manufacturers are in severe need of techniques to detect harsh driving ...

Temporal networks are a class of time-varying networks whose topology evolves through a time-ordered sequence of static networks (known as subsystems), which find wide-ranging applications in modeling complex systems such as social networks, ...

Nowadays, mobile apps have greatly facilitated our daily work and lives. They are often designed to work closely and interact with each other through app components for data and functionality sharing. The security of app components has been extensively ...

Bug fixing is a laborious task. In bug-fixing, debugging needs much manual effort. Various automatic analyses have been proposed to address the challenges of debugging like locating bug-inducing changes. One of the representative approaches to ...

In the context of the smart era, in-car human-machine interaction (HMI) faces new opportunities and challenges. Voice interaction, as a crucial mode of HMI, presents fresh possibilities for a superior user experience (UX) in in-car interactions. ...

Pilot competencies are used to effectively predict and evaluate the level of pilot performance, which can be manifested and observed through the use of relevant knowledge, skills and attitudes to perform activities or tasks under specific ...

As a vital security primitive, the true random number generator (TRNG) is a mandatory component to build roots of trust for any encryption system. However, existing TRNGs suffer from bottlenecks of low throughput and high area-energy consumption. In this ...

Autonomous navigation and landing of Unmanned aerial vehicles (UAVs) are critical functions towards full intelligence in unknown environments. However, current methods heavily rely on positioning devices or geometric maps, leading to two ...

• A novel framework is proposed to realize the landing of UAVs in unknown indoor environments.
• A data association rule is designed to fuse semantic features into the topology structure.
• A terrain estimation strategy is performed only ...

Nowadays, the use of video data for machine (VCM) tasks has become increasingly prevalent, with deep learning and computer vision requiring large volumes of video data for object detection, object tracking, and other tasks. However, the features ...

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• Video data accounts for most internet traffic, video consumed by machines outnumbers video consumed by human.
• Feature compression is an effective solution for coding for Machines with advantages of high compression ratio, computational ...

Heterogeneous networks are ubiquitous in the real-world, such as social networks and brain cell networks. Network embedding techniques have emerged as powerful tools for generating low-dimensional representations of nodes in information networks, ...

Detecting recurring vulnerabilities has become a popular means of static vulnerability detection in recent years because they do not require labor-intensive vulnerability modeling. Recently, a body of work, with HiddenCPG as a representative, has ...

Fairness of recommender systems (RS) has attracted increasing attention recently. Based on the involved stakeholders, the fairness of RS can be divided into user fairness, item fairness, and two-sided fairness which considers both user and item fairness ...

Cryptocurrencies, while revolutionary, have become a magnet for malicious actors. With numerous reports underscoring cyberattacks and scams in this domain, our paper takes the lead in characterizing visual scams associated with cryptocurrency wallets---a ...