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Found 7 papers, 1 papers with code
DOO-RE: A dataset of ambient sensors in a meeting room for activity recognition
The dataset, DOO-RE, includes data streams from various ambient sensor types such as Sound and Projector.
CLAN: A Contrastive Learning based Novelty Detection Framework for Human Activity Recognition
It is tailored to challenges with human activity characteristics, including the significance of temporal and frequency features, complex activity dynamics, shared features across activities, and sensor modality variations.
A Causality-Aware Pattern Mining Scheme for Group Activity Recognition in a Pervasive Sensor Space
In this paper, we focus on a group activity by which a group of users perform a collaborative task without user identification and propose an efficient group activity recognition scheme which extracts causality patterns from pervasive sensor event sequences generated by a group of users to support as good recognition accuracy as the state-of-the-art graphical model.
Beyond Entropy: Style Transfer Guided Single Image Continual Test-Time Adaptation
To overcome these challenges, we present BESTTA, a novel single image continual test-time adaptation method guided by style transfer, which enables stable and efficient adaptation to the target environment by transferring the style of the input image to the source style.
Improving Real Estate Appraisal with POI Integration and Areal Embedding
Despite advancements in real estate appraisal methods, this study primarily focuses on two pivotal challenges.
MetaWeather: Few-Shot Weather-Degraded Image Restoration
Real-world weather conditions are intricate and often occur concurrently.
Enhancing Spatiotemporal Traffic Prediction through Urban Human Activity Analysis
Traffic prediction is one of the key elements to ensure the safety and convenience of citizens.
