A Microgripper Based on Electrothermal Al–SiO2 Bimorphs

Engineering, Mechanical Engineering, Electrical Engineering, Information Science, Electronic Information, Semiconductors and Information Devices,
microgripper   electrothermal actuation   bimorph   micromanipulation   electronic packaging  

Research on Electrothermally Driven Al-SiO₂ Bimorph Microgripper Academic Background Microgrippers play a crucial role in assembly and manipulation at the micro and nano scales, with wide applications in microelectronics, MEMS (Micro-Electro-Mechanical Systems), and biomedical engineering. To ensure the safe handling of delicate materials and micro...

Improving 3D Finger Traits Recognition via Generalizable Neural Rendering

Engineering, Electrical Engineering, Materials Science, Information Science, Electronic Information, Computer Science, Artificial Intelligence, Life Sciences, Bioengineering,
3D fingerprint recognition   neural rendering   finger biometrics   3D biometric traits   multi-modal biometrics  

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

Engineering, Electrical Engineering, Information Science, Electronic Information, Computer Science, Artificial Intelligence,
weakly supervised learning   online activity detection   knowledge distillation   memory networks   curriculum learning  

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...

Dynamic Attention Vision-Language Transformer Network for Person Re-Identification

Information Science, Electronic Information, Computer Science, Automation, Artificial Intelligence,
dynamic attention   vision-language   person re-identification   feature integration   deep learning   multimodal   domain adaptation  

Dynamic Attention Vision-Language Transformer Network for Person Re-Identification Research Report In recent years, multimodal person re-identification (ReID) has gained increasing attention in the field of computer vision. Person ReID aims to identify specific individuals across different camera views, serving as a critical technology in security ...

Day2Dark: Pseudo-Supervised Activity Recognition Beyond Silent Daylight

Information Science, Electronic Information, Computer Science, Automation, Artificial Intelligence,
activity recognition   low-light conditions   audio-visual fusion   pseudo-supervised learning   darkness adaptation  

Research Highlights: Low-Light Activity Recognition Based on Pseudo-Supervision and Adaptive Audio-Visual Fusion Academic Context This paper investigates the challenges of recognizing activities under low-light conditions. While existing activity recognition technologies perform well in well-lit environments, they often fail when dealing with low-l...