3 accepted papers
Federated learning (FL) faces significant challenges from modality heterogeneity, which motivates multimodal federated learning (MFL) to leverage complementary modalities across decentralized clients for improved performance. However, modality imbalance introduces a new attack surface, making MFL mo…
In an autonomous driving system, recovering the moving trajectories of the road users and predicting their future trend can greatly assist further driving decision-making. However, there are still many difficulties to solve this problem, due to the insufficient accuracy of the sensors and occlusion
Although autonomous driving technology has made tremendous progress in recent years, it is still challenging to predict the intentions and trajectories of pedestrians. The state-of-the-art methods suffer from two problems. (1) Existing works consider these two tasks separately, ignoring the connecti…