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Low Earth orbit (LEO) satellite communications are the key enabler for achieving 6G ubiquitous connectivity. With the rapid progress of small satellite technology and the surging demands on direct-to-satellite services, a global wave of building LEO ...

Synthesized human trajectories are crucial for a large number of applications. Existing solutions are mainly based on the generative adversarial network (GAN), which is limited due to the lack of modeling the human decision-making process. In this ...

With the development of an information-based society, public libraries and new media are increasingly converging. This study investigates and compares user engagement behaviors across multiple new media platforms of public libraries and different ...

Embodied AI aims to create agents that complete complex tasks by interacting with the environment. A key problem in this field is embodied navigation which understands multi-modal information and reaches desired positions for manipulations. For ...

• A Survey focuses on the research of embodied navigation with multi-modal information.
• An Explore with inherent differences among navigation tasks agnostic to simulators.
• A novel method taxonomy based on contribution to agent ...

In view of the problems of low accuracy, high false detection rate, and complex model in the current PCB (printed circuit board) defect detection model, this paper proposes an improved PCB defect detection model YOLO-CAMN based on YOLOv8n. Firstly, in the ...

Image-related privacy preservation techniques often demand significant technical expertise, creating a barrier for end-users. We present a privacy-focused intelligent image manipulation tool that leverages recent advancements in generative AI to lower ...

Real-world paintings are made, by artists, using brush strokes as the rendering primitive to depict semantic content. The bulk of the Neural Style Transfer (NST) is known transferring style using texture patches, not strokes. The output looks like the ...

Diffusion models benefit from instillation of task-specific information into the score function to steer the sample generation towards desired properties. Such information is coined as guidance. For example, in text-to-image synthesis, text input is ...

Predicting stock ranking is a complex and challenging task due to the intricate nature of real stock market systems. There are two main obstacles for current methods to directly using historical trading data to predict stock ranking: (1) ...

Optimizing the existing data readback system of heavy ion accelerator power supplies, a new data measurement system was designed on an independently developed digital power controller. This was aimed at replacing the existing power readback systems on ...

Synthesized human trajectories are instrumental for a large number of applications. However, existing trajectory synthesizing models are limited in either modeling variable-length trajectories with continuous temporal distribution or incorporating multi-...

Simulation-based Medical Education (SBME) has been developed as a cost-effective means of enhancing the diagnostic skills of novice physicians and interns, thereby mitigating the need for resource-intensive mentor-apprentice training. However, feedback ...

Livestream e-commerce integrates live streaming and online shopping, allowing viewers to make purchases while watching. However, effective marketing strategies remain a challenge due to limited empirical research and subjective biases from the absence of ...

The crucial blockchain privacy and scalability demand has boosted off-chain contract execution frameworks for years. Some have recently extended their capabilities to transition blockchain states by off-chain multi-party computation while ensuring public ...

We present a comprehensive solution to learn and improve text-to-image models from human preference feedback. To begin with, we build ImageReward—the first general-purpose text-to-image human preference reward model—to effectively encode human ...

Recommendation systems play a crucial role in helping college students find job opportunities. However, the sparsity of interactions in employment recommendation for college students poses a challenge for models based on historical user ...

Generating human mobility trajectories is of great importance to solve the lack of large-scale trajectory data in numerous applications, which is caused by privacy concerns. However, existing mobility trajectory generation methods still require real-...

The Boreas dataset was collected by driving a repeated route over the course of 1 year, resulting in stark seasonal variations and adverse weather conditions such as rain and falling snow. In total, the Boreas dataset includes over 350 km of driving data ...

Image-based virtual try-on focuses on changing the model's garment item to the target ones and preserving other visual features. To preserve the texture detail of the given in-shop garment, former methods use geometry-based methods (e.g., Thin-...

Due to the scarcity of available data, deep learning does not perform well on few-shot learning tasks. However, human can quickly learn the feature of a new category from very few samples. Nevertheless, previous work has rarely considered how to ...