Hang Zhao

TL;DR: It is shown that the quality of the results improves significantly with better loss functions, even when the network architecture is left unchanged, and a novel, differentiable error function is proposed.

TL;DR: The key insight is that for prediction within a moderate time horizon, the future modes can be effectively captured by a set of target states, which leads to the target-driven trajectory prediction (TNT) framework.

TL;DR: VectorNet as discussed by the authors proposes a hierarchical graph neural network that first exploits the spatial locality of individual road components represented by vectors and then models the high-order interactions among all the components.

TL;DR: This work proposes ``Music Gesture," a keypoint-based structured representation to explicitly model the body and finger movements of musicians when they perform music, which adopts a context-aware graph network to integrate visual semantic context with body dynamics and applies an audio-visual fusion model to associate body movements with the corresponding audio signals.

TL;DR: Duckietown is an open, inexpensive and flexible platform for autonomy education and research that comprises small autonomous vehicles built from off-the-shelf components, and cities complete with roads, signage, traffic lights, obstacles, and citizens in need of transportation.