Latest AI and machine learning research in adhd/add for healthcare professionals.
Short video streaming systems such as TikTok, Youtube Shorts, Instagram Reels, etc have reached billions of active users. At the core of such systems is a (proprietary) recommendation algorithm which recommends a sequence of videos to each user, in a personalized way. We aim to understand the temporal evolution of recommendations made by these algorithms and the interplay between the recommendat...
Generative models have made remarkable advancements and are capable of producing high-quality content. However, performing controllable editing with generative models remains challenging, due to their inherent uncertainty in outputs. This challenge is praticularly pronounced in motion editing, which involves the processing of spatial information. While some physics-based generative methods have ...
A CORDIC-based configuration for the design of Activation Functions (AF) was previously suggested to accelerate ASIC hardware design for resource-co...
Mathematical morphology, a field within image processing, includes various filters that either highlight, modify, or eliminate certain information i...
Hyperspectral image (HSI) unmixing is a challenging research problem that tries to identify the constituent components, known as endmembers, and the...
Video editing increasingly demands the ability to incorporate specific real-world instances into existing footage, yet current approaches fundamenta...
Techniques that rigorously bound the overall rounding error exhibited by a numerical program are of significant interest for communities developing ...
String matching is a fundamental problem in computer science, with critical applications in text retrieval, bioinformatics, and data analysis. Among...
One-step diffusion-based image super-resolution (OSDSR) models are showing increasingly superior performance nowadays. However, although their denoi...
In tomato greenhouse, phenotypic measurement is meaningful for researchers and farmers to monitor crop growth, thereby precisely control environment...
Selecting high-quality and diverse training samples from extensive datasets plays a crucial role in reducing training overhead and enhancing the per...
Recent years have witnessed a growing academic and industrial interest in deep learning (DL) for medical imaging. To perform well, DL models require...
Whether and how to regulate AI is one of the defining questions of our times - a question that is being debated locally, nationally, and internation...
Text-to-image diffusion models offer powerful image editing capabilities. To edit real images, many methods rely on the inversion of the image into ...
To evaluate end-to-end autonomous driving systems, a simulation environment based on Novel View Synthesis (NVS) techniques is essential, which synth...
According to the World Health Organization, over 466 million people worldwide suffer from disabling hearing loss, with approximately 34 million of t...
Large Language Models (LLMs) have made significant strides in natural language generation but often face challenges in tasks requiring precise calcu...
DINO and DINOv2 are two model families being widely used to learn representations from unlabeled imagery data at large scales. Their learned represe...
Visual Question Answering (VQA) is a challenging problem that requires to process multimodal input. Answer-Set Programming (ASP) has shown great pot...
High-voltage transmission lines are located far from the road, resulting in inconvenient inspection work and rising maintenance costs. Intelligent i...