3 accepted papers
This paper presents a unified framework that jointly predicts behavioral intentions and vectorized occupancy, leveraging them as priors to dynamically prune context information during trajectory decoding, thereby enhancing prediction accuracy, interpretability, and efficiency. While most prior work
This paper presents a unified framework that jointly predicts behavioral intentions and vectorized occupancy, leveraging them as priors to dynamically prune context information during trajectory decoding, thereby enhancing prediction accuracy, interpretability, and efficiency. While most prior work …
Achieving spatial alignment between whole-slide images (WSIs) across stains is essential for integrating morphology and molecular information, yet it remains challenging due to extreme resolution, tissue fragmentation, and large nonlinear deformations. Conventional registration pipelines depend on g