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4D Panoptic Scene Graph Generation Jingkang Y ang
Traditional 3D scene graph methods may recognize the static elements of this scene, such as identifying a booth situated on the ground. However, a more ideal, advanced, and dynamic perception is required for real-world scenarios.
Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning
This research offers a fresh take on neural operators with a framework Representation equivalent Neural Operators (ReNO) designed to address these issues.
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective Kun Yi
Multivariate time series (MTS) forecasting has shown great importance in numerous industries.
PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection
Automated seizure detection is of great importance to epilepsy diagnosis and treatment.