Keyan Chen

Achieving linear-time efficiency in remote sensing instance segmentation could revolutionize how we deploy vision models in resource-constrained environments.

Scale-Frustum Representations offer a surprisingly effective way to model objects at drastically different scales in ultra-wide area remote sensing images, boosting segmentation accuracy and convergence speed.

Achieve state-of-the-art cloud detection in remote sensing imagery with a novel Mamba-based architecture that's both more accurate and computationally efficient than Transformers.