Latest AI and machine learning research in transplantation for healthcare professionals.
Hiding data using neural networks (i.e., neural steganography) has achieved remarkable success acr...
Socio-psychological studies have identified a common phenomenon where an individual's public actio...
This paper explores the promising interplay between spiking neural networks (SNNs) and event-based...
Compared with natural images, remote sensing images (RSIs) have the unique characteristic. i.e., l...
Achieving flexible and high-fidelity identity-preserved image generation remains formidable, parti...
Precise audio-visual synchronization in speech videos is crucial for content quality and viewer co...
We introduce Low-Shot Open-Set Domain Generalization (LSOSDG), a novel paradigm unifying low-shot ...
This paper investigates the prospects of AI without representation in general, and the proposals o...
Accurate segmentation is essential for effective treatment planning and disease monitoring. Existi...
Personalized image generation aims to produce images of user-specified concepts while enabling fle...
Despite their success, Segment Anything Models (SAMs) experience significant performance drops on ...
Invisible watermarking of AI-generated images can help with copyright protection, enabling detecti...
Text-to-image synthesis has witnessed remarkable advancements in recent years. Many attempts have ...
This paper considers open-set recognition (OSR) of plankton images. Plankton include a diverse ran...
Background: Automated analysis of CT scans for abdominal organ measurement is crucial for improvin...
Solving medical imaging data scarcity through semantic image generation has attracted significant ...
Bag-based Multiple Instance Learning (MIL) approaches have emerged as the mainstream methodology f...
Human-centric visual perception (HVP) has recently achieved remarkable progress due to advancement...
Despite the widespread adoption of vision sensors in edge applications, such as surveillance, the ...
Recent advancements in Unet-based diffusion models, such as ControlNet and IP-Adapter, have introd...
This paper focuses on multimodal alignment within the realm of Artificial Intelligence, particular...