4 accepted papers
Global contextual dependency is of significance for semantic segmentation from light fields. However, previous works mostly exploit attention mechanisms to model spatial context dependency and angular context dependency separately, since a light field capture is very data-intensive. Considering that…
Smart robotic wheelchairs, as well as other assistive robotic devices, can provide an effective form of independent mobility for those who suffer with motor disabilities. Although many control interfaces exist to operate these devices, brain computer interfaces (BCI) offer a control modality for tho…
In recent years, self-supervised representation learning has gained much attention for its proven advantages in many downstream tasks. Consequently, various self-supervised representation learning methods have been developed. However, few studies have investigated the resulting embedding space or an…
As one of the typical settings of Federated Learning (FL), cross-silo FL allows organizations to jointly train an optimal Machine Learning (ML) model. In this case, some organizations may try to obtain the global model without contributing their local training, lowering the social welfare. In this p…