Multi-modal fusion has shown initial promising results for object detect...
Estimating the joint distribution of on-road agents' future trajectories...
In autonomous driving, an accurate understanding of environment, e.g., t...
Predicting the future trajectories of nearby objects plays a pivotal rol...
Car-following (CF) modeling, an essential component in simulating human ...
Age-of-Information (AoI) is an application layer metric that has been wi...
For autonomous driving, an essential task is to detect surrounding objec...
Graph Neural Networks (GNNs) have boosted the performance for many
graph...
In recent years, many deep learning models have been adopted in autonomo...
Matrix factorization is an important representation learning algorithm, ...
Discretionary lane change (DLC) is a basic but complex maneuver in drivi...
In recent years, edge computing (EC) has attracted great attention for i...
Model-Agnostic Meta-Learning (MAML) and its variants are popular few-sho...
The live streaming services have gained extreme popularity in recent yea...
Recently, recommender systems that aim to suggest personalized lists of ...
Recommender systems are crucial to alleviate the information overload pr...
Recent years have witnessed rapid developments on social recommendation
...
In the past decade, unmanned aerial vehicles (UAVs) have been widely use...