A central challenge of video prediction lies where the system has to rea...
Large amounts of incremental learning algorithms have been proposed to
a...
Model generalizability to unseen datasets, concerned with in-the-wild
ro...
Vision-centric joint perception and prediction (PnP) has become an emerg...
Multi-agent collaborative perception could significantly upgrade the
per...
The historical trajectories previously passing through a location may he...
In multi-modal multi-agent trajectory forecasting, two major challenges ...
Robustness of deep neural networks (DNNs) to malicious perturbations is ...
Estimating the risk level of adversarial examples is essential for safel...
Vehicle-to-everything (V2X), which denotes the collaboration between a
v...
Advances in LiDAR sensors provide rich 3D data that supports 3D scene
un...
In this paper, we propose our Correlation For Completion Network (CFCNet...