Skip to content
Log in
Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Ting-Fa Xu

View on Semantic Scholar

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Oct 2026

SGLDet: Spectral-Aware Global–Local Dynamic Modeling for Multispectral Aerial Object Detection

Multispectral aerial object detection (MAOD) aims to exploit spectral–spatial cues to address object detection challenges in complex aerial scenes. Existing methods mainly focus on spectral–spatial decoupling and object-aware spectral–spatial fusion to improve spectral utilization. However, two critical issues remain u...

Peng Zhang, Shuai-Hao Han, Ting-Fa Xu et al. · 0 citations
2026

Spectral–Spatiotemporal Prompting for Multispectral UAV Tracking

UAV tracking often faces critical challenges such as target appearance variations and poor lighting conditions. Compared to RGB images, multispectral images (MSIs) possess rich spatial–spectral information, enabling trackers to better handle scenarios involving illumination variations and similar colors. Existing multi...

Xiao-Yue Yan, Ting-Fa Xu, Hao-Lin Qin et al. · 0 citations
2026

Event-Guided Spatiotemporal Cube Learning for Infrared Video Small-Object Detection

Infrared video small-object detection remains a challenging problem due to the extremely weak target appearance, low signal-to-noise ratio, cluttered thermal backgrounds, and frequent temporal inconsistency across frames. Most existing detectors follow a frame-wise paradigm, where each frame is processed independently,...

Feng-Xiang Xu, Nan Zhang, Ting-Fa Xu 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.