5 papers
POST: Prior-Observation Adversarial Learning of Spatio-Temporal Associations for Multivariate Time Series Anomaly Detection
Suofei Zhang, Yaxuan Zheng, Haifeng Hu
Existing Multivariate Time Series Anomaly Detection (MTSAD) frameworks increasingly rely on integrating Graph Neural Networks (GNNs) with sequence models to capture complex spatio-…
MIDG: Mixture of Invariant Experts with knowledge injection for Domain Generalization in Multimodal Sentiment Analysis
Yangle Li, Danli Luo, Haifeng Hu
Existing methods in domain generalization for Multimodal Sentiment Analysis (MSA) often overlook inter-modal synergies during invariant features extraction, which prevents the accu…
Dynamic Contrastive Learning for Hierarchical Retrieval: A Case Study of Distance-Aware Cross-View Geo-Localization
Suofei Zhang, Xinxin Wang, Xiaofu Wu +2
Existing deep learning-based cross-view geo-localization methods primarily focus on improving the accuracy of cross-domain image matching, rather than enabling models to comprehens…
Extended Cross-Modality United Learning for Unsupervised Visible-Infrared Person Re-identification
Ruixing Wu, Yiming Yang, Jiakai He +1
Unsupervised learning visible-infrared person re-identification (USL-VI-ReID) aims to learn modality-invariant features from unlabeled cross-modality datasets and reduce the inter-…
Dynamic Modality-Camera Invariant Clustering for Unsupervised Visible-Infrared Person Re-identification
Yiming Yang, Weipeng Hu, Haifeng Hu
Unsupervised learning visible-infrared person re-identification (USL-VI-ReID) offers a more flexible and cost-effective alternative compared to supervised methods. This field has g…