Search Results for author:
Found 4 papers, 0 papers with code
Cascaded Self-supervised Learning for Subject-independent EEG-based Emotion Recognition
Inspired by recent efforts in combining low-level and high-level tasks in deep learning, we propose a cascaded self-supervised architecture for EEG emotion recognition.
Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception
In this paper, we propose SCOPE, a novel collaborative perception framework that aggregates the spatio-temporal awareness characteristics across on-road agents in an end-to-end manner.
A novel efficient Multi-view traffic-related object detection framework
With the rapid development of intelligent transportation system applications, a tremendous amount of multi-view video data has emerged to enhance vehicle perception.
Rethinking Saliency Map: An Context-aware Perturbation Method to Explain EEG-based Deep Learning Model
The results of the experiments support the advantages of our method.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
