Capturing Activities and Interactions in Makerspaces Using Monocular Computer Vision
This study presents a monocular approach for capturing students’ prototyping activities and interactions in digital-fabrication-based makerspaces. The proposed method uses images from […]
An Empirical Study of Super-Resolution on Low-Resolution Micro-Expression Recognition
Micro-expression recognition (MER) in low-resolution (LR) scenarios presents an important and complex challenge, particularly for practical applications such as group MER in […]
Enabling Visual Scene Recovery from Wi-Fi CSI for Occlusion-Free Surveillance
We introduce CSI-Inpainter, a novel approach for obstacle removal using Wi-Fi channel state information (CSI). This method harnesses CSI data to reconstruct […]
Few-Shot Class-Incremental Learning for Classification and Object Detection: A Survey
Federated Learning based Base Station Selection using LiDAR
Base station (BS) selection is important in establishing reliable communication links in millimeter-wave (mmWave) systems. The selection procedure typically requires each BS […]
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
While deep learning excels in computer vision tasks with abundant labeled data, its performance diminishes significantly in scenarios with limited labeled samples. […]
Advances in image-based estimation of snow variable: A systematic literature review on recent studies
Accurately estimating snow hydrology parameters, including snow coverage mapping and snow depth, plays a significant role in comprehending water resource dynamics, flood […]
Robust EV Scheduling in Charging Stations Under Uncertain Demands and Deadlines
To enable widespread use of electric vehicles (EVs), large-scale public charging stations with fast chargers are being planned in places such as […]
Saliency-based video summarization for face anti-spoofing
Domain Generalization via Ensemble Stacking for Face Presentation Attack Detection
Face presentation attack detection (PAD) plays a pivotal role in securing face recognition systems against spoofing attacks. Although great progress has been […]