Root-Inspired, Template-Confined Additive Printing for Fabricating High-Robust Conformal Electronics

Root-Inspired, Template-Constrained Additive Printing for Fabricating Highly Robust Conformal Electronics Academic Background With the rapid development of emerging application scenarios such as smart robotics, smart skins, and integrated sensing systems, the application of conformal electronic devices on freeform surfaces has become crucial. Howev...

A 14 μHz/√Hz Resolution and 32 μHz Bias Instability MEMS Quartz Resonant Accelerometer with a Low-Noise Oscillating Readout Circuit

A Study on High-Resolution MEMS Quartz Resonant Accelerometer with a Low-Noise Oscillating Readout Circuit Academic Background Microelectromechanical system (MEMS) accelerometers have a wide range of applications in fields such as inertial navigation, seismic detection, wearable devices, and intelligent robots. Particularly in applications like sat...

A Microgripper Based on Electrothermal Al–SiO2 Bimorphs

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

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...

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

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

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...

EfficientDeRain+: Learning Uncertainty-Aware Filtering via RainMix Augmentation for High-Efficiency Deraining

EfficientDeRain+: A High-Efficiency Image Deraining Method Enhanced by RainMix Augmentation Background Rain significantly affects the quality of images and videos captured by computer vision systems, with raindrops and streaks impairing clarity and degrading performance in tasks like pedestrian detection, object tracking, and semantic segmentation....

Adaptive Middle Modality Alignment Learning for Visible-Infrared Person Re-Identification

Adaptive Middle Modality Alignment Learning for Visible-Infrared Person Re-Identification

Research on Adaptive Middle-Modality Alignment Learning for Visible-Infrared Cross-Modality Learning Background and Problem Statement Driven by the needs of intelligent surveillance systems, visible-infrared person re-identification (VIReID) has gradually become a prominent research topic. This task aims to achieve around-the-clock person recogniti...

A Weakly Supervised Collaborative Procedure Alignment Framework for Procedural Video Analysis

Achieving Procedure-Aware Instructional Video Correlation Learning Under Weak Supervision: Summary and Evaluation In recent years, instructional videos have garnered significant attention due to their goal-driven characteristics and intrinsic connections to human learning processes. Compared to general videos, instructional videos contain multiple ...