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 ...

Weakly Supervised Semantic Segmentation of Driving Scenes Based on Few Annotated Pixels and Point Clouds

Few Annotated Pixels and Point Cloud Based Weakly Supervised Semantic Segmentation of Driving Scenes Background and Research Issues Semantic segmentation, a critical task in computer vision, has extensive applications in domains like autonomous driving. However, traditional fully-supervised semantic segmentation methods require exhaustive pixel-lev...

Rethinking Contemporary Deep Learning Techniques for Error Correction in Biometric Data

Rethinking Deep Learning Techniques for Error Correction in Biometric Data Background With the rapid development of information technology, biometric data has become increasingly important in identity verification and secure storage. Traditional cryptography relies on uniformly distributed and precisely reproducible random strings. However, most re...

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...

Learning to Detect Novel Species with SAM in the Wild

Academic Paper Report: Open World Object Detection Framework Using SAM Background As the importance of ecosystem monitoring grows, the observation of wildlife and plant populations has become a crucial aspect of ecological conservation and agricultural development. These monitoring tasks include estimating population sizes, identifying species, stu...

Mechanical Ventilation Guided by Driving Pressure Optimizes Local Pulmonary Biomechanics in an Ovine Model

Optimization of Respiratory Pressure Under Mechanical Ventilation Guidance - A Study on Improving Local Lung Biomechanics Mechanical ventilation is commonly used in clinical practice to treat acute respiratory distress syndrome (ARDS) and prevent pulmonary complications after general anesthesia. However, mechanical ventilation can cause harmful str...

Post-Stroke Hand Gesture Recognition via One-Shot Transfer Learning Using Prototypical Networks

Background Introduction Stroke is one of the leading causes of death and disability worldwide, with the total number of stroke patients increasing globally due to population aging and urbanization. Although advances in treatment have reduced mortality rates, the number of survivors requiring rehabilitation has increased significantly. This is parti...

The Ankle Dorsiflexion Kinetics Demand to Increase Swing Phase Foot-Ground Clearance: Implications for Assistive Device Design and Energy Demands

Research Report Background Introduction With an aging population and the increase in neurological and muscular diseases such as stroke, the risk of tripping and falling due to gait disorders has become a serious problem. Research shows that ankle dorsiflexion is crucial for ensuring foot clearance during the swing phase of gait. However, there is l...