publié le: 2023
Temporal heterogeneous graphs can model lots of complex systems in the real world, such as social networks and e-commerce applications, which are natu...
Recent studies have shown promising results on joint learning of local feature detectors and descriptors. To address the lack of ground-truth keypoint...
The recent trend of fusing complementary data from LiDARs and cameras for more accurate perception has made the extrinsic calibration between the two...
Information can be shared across the Internet using cloud computing, a powerful paradigm for meeting the needs of individuals and organizations. To mi...
Bayesian Networks (BNs) have become increasingly popular over the last few decades as a tool for reasoning under uncertainty in fields as diverse as m...
