3 accepted papers
We propose an unsupervised method for parsing large 3D scans of real-world scenes with easily-interpretable shapes. This work aims to provide a practical tool for analyzing 3D scenes in the context of aerial surveying and mapping without the need for user annotations. Our approach is based on a prob…
Determining the location of an image anywhere on Earth is a complex visual task which makes it particularly relevant for evaluating computer vision algorithms. Determining the location of an image anywhere on Earth is a complex visual task which makes it particularly relevant for evaluating computer…
"Roof-mounted spinning LiDAR sensors are widely used by autonomous vehicles. However, most semantic datasets and algorithms used for LiDAR sequence segmentation operate on 360° frames, causing an acquisition latency incompatible with real-time applications. To address this issue, we first introduce…