This is a python implementation of the scRCL-G framework that evaluates the performance of scRNA-Seq contrastive learning generative encoder networks in terms of their performance on learning the ...

We propose a novel multi-pose loss function to train a neural network for 6D pose estimation, using synthetic data and evaluating it on real images. Our loss is inspired by the VSD (Visible Surface ...

Abstract: Trajectory prediction is a crucial task required for autonomous driving. The highly interactions and uncertainties in real-world traffic scenarios make it a challenge to generate ...

Abstract: The application of mobile mapping systems (MMS) has increased continuously in the last decades in fields like infrastructure or ecosystem monitoring. Equipped with multiple laser scanners ...