Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
Deep hashing is an effective approach for large-scale image retrieval. Current methods are typical...
Quantifying uncertainty in neural implicit 3D representations, particularly those utilizing Signed...
Bad actors, primarily distressed firms, have the incentive and desire to manipulate their financia...
Although the lightweight Vision Transformer has significantly advanced image super-resolution (SR)...
This work focuses on modeling dynamic urban environments for autonomous driving simulation. Contem...
A Wi-Fi-enabled device, or simply Wi-Fi device, sporadically broadcasts probe request frames (PRFs...
High-definition (HD) map construction methods are crucial for providing precise and comprehensive ...
MR imaging techniques are of great benefit to disease diagnosis. However, due to the limitation of...
Text-to-image diffusion models often struggle to achieve accurate semantic alignment between gener...
As the core operator of Transformers, Softmax Attention exhibits excellent global modeling capabil...
Artificial intelligence (AI), particularly deep learning, has demonstrated high diagnostic performan...
Knowledge Tracing (KT), as a pivotal technology in intelligent education systems, analyzes students'...
We introduce DABstep, a novel benchmark for evaluating AI agents on realistic multi-step data anal...
Since there exists a notable gap between user-provided and model-preferred prompts, generating hig...
Medical visual question answering (MedVQA) plays a vital role in clinical decision-making by provi...
Garment manipulation is a significant challenge for robots due to the complex dynamics and potenti...
Text on historical maps provides valuable information for studies in history, economics, geography...
Few-shot industrial anomaly detection (FS-IAD) presents a critical challenge for practical automat...
We develop a mass-conserving, adaptive-rank solver for the 1D1V Wigner-Poisson system. Our work is...
Estimating single-cell responses across various perturbations facilitates the identification of ke...
Egocentric video-language understanding demands both high efficiency and accurate spatial-temporal...