Multivariate time series anomaly detection is crucial for failure diagnosis, network security, and intelligent operations. Reconstruction-based approaches are well suited for unsupervised scenarios, as they detect anomalies without labeled data and model complex temporal patterns through reconstruction. However, despit...
Xiao-Wei Jia, Sheng-Xi Wang, Kai-Kai Yang et al.· Proceedings of the 35th ACM...· 0 citations
Dagger, a novel two-phase decoupling-based attack framework that consistently outperforms state-of-the-art GNN stealing attacks, achieving up to 18.16\% higher fidelity while only utilizing 12.23$\times$ fewer queries than the strongest baseline.
Ying Song, Xiao-Wei Jia, B. Palanisamy· arXiv.org· 0 citations
This work introduces UAV3DCrop, a public benchmark of repeated multi-angle unmanned aerial vehicle (UAV) crop surveys, and evaluates seven scene-optimized methods -- Neural Radiance Field and 3D Gaussian Splatting variants -- on held-out views, photogrammetry-referenced depth, and canopy-height recovery.
Junxiong Zhou, Xuechen Li, Chonghao Qiu et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
