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- A mmWave Sensor and Camera Fusion System for Indoor Occupancy Detection and Tracking4
This work proposes a real-time indoor people detection and tracking fusion system using mmWave radar and cameras that helps commercial environments prevent crowds during the COVID-19 pandemic and analyze customer visiting patterns for e-cient management and marketing.
- A Study of AI Ethics Education in the Context of Japanese Job-Hunting Based on Case Method Using Network Analysis3
This study presents an innovative educational framework combining the Case Method with network analysis to dissect ethical issues within AI applications, and examines the use of AI in Japanese job hunting to evaluate the framework's ability to analyze response patterns and enhance ethical decision-making.
- Ride the Wave: Precision-Allocated Sparse Attention for Smooth Video Generation2
Precision-Allocated Sparse Attention (PASA), a training-free framework designed for highly efficient and temporally smooth video generation, implements a curvature-aware dynamic budgeting mechanism and incorporates a stochastic selection bias into the attention routing mechanism.
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- Aspect-Level Cross-Linguistic Multi-Layer Sentiment Analysis: A Case Study on User Preferences for Mask Attributes During the COVID-19 Pandemic–
A nuanced, portable aspect-level sentiment analysis method, designed to un-earthsightful information about sentiment intensity prediction, classification, and sentiment score calculation, collaboratively revealing consumer sentiments is constructed.
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- FSAMT: Face Shape Adaptive Makeup Transfer–
A “3-level” adaptive makeup transfer framework, addressing facial makeup through two sub-tasks, utilizing feature descriptors and eyelid curve algorithms to classify 135 organ-level face shapes is introduced.
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- Utilizing Band-Channel Fusion Mechanism as a Regulator for Feedback Attention in EEG based Sentiment Classification–
The Regulator-Feedback based attention (RFA) method is introduced, which aptly connects attention mechanisms with EEG’s temporal nuances and outperforms on the DEAP dataset.
Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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