Recently, the tensor nuclear norm (TNN)-based tensor robust principle component analysis (TRPCA) has achieved impressive performance in multidimensional data processing. The underlying assumption in ...

Two-dimensional quaternion principal component analysis (2D-QPCA) is one of the successful dimensionality reduction methods for color face recognition. However, 2D-QPCA is sensitive to outliers. For ...

Unlike video editing techniques such as VACE, our method itself does not provide visual editing capabilities. Instead, we leverage powerful image editing models to edit the first frame (or more frames ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire ...

Alternatively, you may download the original data and process it yourself. The data is generated by our previous work— M3Bench and VKC, and includes two tasks: pick and place. Note that the goal-reach ...