Prediction Method of O2O Coupon Based on Multi-Grained Attention Mechanism of CNN and Bi-GRU
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3359052
Abstract: O2O (Online to Offline) can analyze users’ behaviors according to data mining, realize personalized marketing and improve marketing effect. The “push” delivery method of O2O coupons ignores the active participation and user experience of users,… read more here.
Keywords: multi grained; attention; attention mechanism; cnn gru ... See more keywords
Multi-grained Line Graph Neural Network with Hierarchical Contrastive Learning for Predicting Drug-disease Associations.
Sign Up to like & getrecommendations! Published in 2025 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2025.3573158
Abstract: Predicting drug-disease associations is a crucial step in drug repositioning, especially with computational methods that quickly locate potential drug-disease pairs. Heterogenous network is a common tool for introducing multiple type relation information about drugs and… read more here.
Keywords: drug disease; multi grained; drug; graph ... See more keywords
Multi-Grained Gradual Inference Model for Multimedia Event Extraction
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2024.3402242
Abstract: With the development of multimedia technology, events are usually presented in multimedia forms, thus multimedia event extraction (MEE) has become more and more important. Existing MEE works usually use simple strategies to align two modalities,… read more here.
Keywords: gradual inference; multi grained; event extraction; inference ... See more keywords
Monero With Multi-Grained Redaction
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2023.3251735
Abstract: Monero is a privacy-centric cryptocurrency that allows users to obscure their transactions with multiple input and output addresses. Current research on Monero mainly focuses on identifying design vulnerabilities or optimizing towards stronger privacy, security, etc.… read more here.
Keywords: multi grained; redaction; blockchain; monero ... See more keywords
A Multi-Grained Parallel Solution for HEVC Encoding on Heterogeneous Platforms
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2019.2916462
Abstract: To improve the parallel processing capability of video coding, the emerging high efficiency video coding (HEVC) standard introduces two parallel techniques, i.e., Wavefront Parallel Processing (WPP) and Tiles, to make it much more parallel-friendly than its predecessors. However, these… read more here.
Keywords: grained parallel; parallel solution; encoding heterogeneous; hevc ... See more keywords
Multi-Grained Vision-and-Language Model for Medical Image and Text Alignment
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2025.3590930
Abstract: The increasing interest in learning from paired medical images and textual reports highlights the need for methods that can achieve multi-grained alignment between these two modalities. However, most existing approaches overlook fine-grained semantic alignment, which… read more here.
Keywords: image text; language; multi grained; alignment ... See more keywords
Video anomaly detection via pseudo-anomaly generation and multi-grained feature learning
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.34.1.013044
Abstract: Abstract. Video anomaly detection (VAD) aims to identify rare events in videos that deviate from normal behaviors. Due to the scarcity of anomalous samples, most methods in this field rely on datasets composed solely of… read more here.
Keywords: video anomaly; pseudo; multi grained; anomaly detection ... See more keywords
Multi-Grained Temporal Clip Transformer for Skeleton-Based Human Activity Recognition
Sign Up to like & getrecommendations! Published in 2025 at "Applied Sciences"
DOI: 10.3390/app15094768
Abstract: Skeleton-based human activity recognition is a key research topic in the fields of deep learning and computer vision. However, existing approaches are less effective at capturing short-term sub-action information at different granularity levels and long-term… read more here.
Keywords: recognition; temporal clip; multi grained; grained temporal ... See more keywords