Ultrahigh-Field Animal MRI System with Advanced Technological Update

Technological Updates in Ultrahigh-Field Animal MRI Systems Academic Background Animal magnetic resonance imaging (MRI) systems play a crucial role in preclinical research, typically offering superior imaging performance compared to conventional human MRI systems. However, achieving high performance in these systems is challenging due to the multif...

Growth-Based Monolithic 3D Integration of Single-Crystal 2D Semiconductors

Research on Growth-Based Monolithic 3D Integration of Single-Crystal 2D Semiconductors Academic Background With the rapid development of the modern electronics industry, three-dimensional (3D) integration technology has gradually become an important means to enhance the performance of electronic devices. Traditional two-dimensional (2D) integrated ...

Improving 3D Finger Traits Recognition via Generalizable Neural Rendering

Summary of FingerNeRF-Based 3D Finger Biometrics Research Report Background and Research Significance With the advancement of biometric technologies, three-dimensional (3D) biometrics have become a promising research direction due to their higher accuracy, robust anti-spoofing capabilities, and resistance to variations in capture angles. Among thes...

A Memory-Assisted Knowledge Transferring Framework with Curriculum Anticipation for Weakly Supervised Online Activity Detection

Research Background and Significance In recent years, weakly supervised online activity detection (WS-OAD), as an important topic in high-level video understanding, has garnered widespread attention. Its primary goal is to detect ongoing activities frame-by-frame in streaming videos using only inexpensive video-level annotations. This task holds si...

A Displacement Uncertainty-Based Method for Multi-Object Tracking in Low-Frame-Rate Videos

The Academic Report on Low-Frame-Rate Multi-Object Tracking Introduction and Research Background In recent years, multi-object tracking (MOT) has been widely applied in intelligent video surveillance, autonomous driving, and robotics vision. However, traditional MOT methods are predominantly designed for high-frame-rate videos and face significant ...