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From the 1 of 22 linked papers with an AI index.

collaborators

22 papers

cs.CV2026

Semantic-Aware Temporal Adaptation for UAV Anti-UAV Tracking

Xiaozhen Qiao, Da Zhang, Yubin Guo +3

The paper introduces SATATrack, a framework that uses semantic descriptions of the target and online feature distribution alignment to improve UAV-to-UAV tracking under rapid appea…

cs.CV2026

Towards Realistic Open-Vocabulary Remote Sensing Segmentation: Benchmark and Baseline

Bingyu Li, Tao Huo, Haocheng Dong +4

Open-vocabulary remote sensing image segmentation (OVRSIS) remains underexplored due to fragmented datasets, limited training diversity, and the lack of evaluation benchmarks that…

cs.LG2026

MedMamba: Multi-View State Space Models with Adaptive Graph Learning for Medical Time Series Classification

Da Zhang, Bingyu Li, Zhiyuan Zhao +3

Medical time series are central to healthcare, enabling continuous monitoring and supporting timely clinical decisions. Despite recent progress, existing methods struggle to jointl…

cs.CV2026

STAR-IOD: Scale-decoupled Topology Alignment with Pseudo-label Refinement for Remote Sensing Incremental Object Detection

Yaoteng Zhang, Qing Zhou, Junyu Gao +1

Remote sensing imagery typically arrives in the form of continuous data streams. Traditional detectors often forget previously learned categories when learning new ones; therefore,…

cs.CV2026

Generative 3D Gaussian Splatting for Arbitrary-ResolutionAtmospheric Downscaling and Forecasting

Tao Han, Zhibin Wen, Zhenghao Chen +4

While AI-based numerical weather prediction (NWP) enables rapid forecasting, generating high-resolution outputs remains computationally demanding due to limited multi-scale adaptab…

cs.CV2026

Exploring the Underwater World Segmentation without Extra Training

Bingyu Li, Tao Huo, Da Zhang +3

Accurate segmentation of marine organisms is vital for biodiversity monitoring and ecological assessment, yet existing datasets and models remain largely limited to terrestrial sce…