Neural Vector Fields for Implicit Surface Representation and Inference

1 code implementation • 13 Apr 2022 • Edoardo Mello Rella, Ajad Chhatkuli, Ender Konukoglu, Luc van Gool

With neural networks, several other variations and training principles have been proposed with the goal to represent all classes of shapes.

Zero Pixel Directional Boundary by Vector Transform

1 code implementation • ICLR 2022 • Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu, Ender Konukoglu, Luc van Gool

One of the key problems in boundary detection is the label representation, which typically leads to class imbalance and, as a consequence, to thick boundaries that require non-differential post-processing steps to be thinned.

Boundary Detection

Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction

no code implementations • 12 Aug 2021 • Edoardo Mello Rella, Jan-Nico Zaech, Alexander Liniger, Luc van Gool

Forecasting the future behavior of all traffic agents in the vicinity is a key task to achieve safe and reliable autonomous driving systems.

Motion Forecasting Trajectory Prediction