research
∙
11/18/2022
Leveraging Multi-stream Information Fusion for Trajectory Prediction in Low-illumination Scenarios: A Multi-channel Graph Convolutional Approach
Trajectory prediction is a fundamental problem and challenge for autonom...
share
research
∙
11/06/2022
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Proper functioning of connected and automated vehicles (CAVs) is crucial...
research
∙
01/17/2019
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing
Face anti-spoofing (a.k.a presentation attack detection) has drawn growi...
research
∙
03/29/2018
Modeling the spatio-temporal dynamics of land use change with recurrent neural networks
This study applies recurrent neural networks (RNNs), which are known for...
research
∙
03/03/2018
