OpenStreetView-5M: The Many Roads to Global Visual Geolocation

1 code implementation • CVPR 2024 • Guillaume Astruc, Nicolas Dufour, Ioannis Siglidis, Constantin Aronssohn, Nacim Bouia, Stephanie Fu, Romain Loiseau, Van Nguyen Nguyen, Charles Raude, Elliot Vincent, Lintao XU, HongYu Zhou, Loic Landrieu

Determining the location of an image anywhere on Earth is a complex visual task, which makes it particularly relevant for evaluating computer vision algorithms.

Photo geolocation estimation

Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans

1 code implementation • CVPR 2024 • Romain Loiseau, Elliot Vincent, Mathieu Aubry, Loic Landrieu

We demonstrate the usefulness of our model on a novel dataset of seven large aerial LiDAR scans from diverse real-world scenarios.

Semantic Segmentation

Online Segmentation of LiDAR Sequences: Dataset and Algorithm

1 code implementation • 16 Jun 2022 • Romain Loiseau, Mathieu Aubry, Loïc Landrieu

Roof-mounted spinning LiDAR sensors are widely used by autonomous vehicles.

Autonomous Vehicles LIDAR Semantic Segmentation +2

Representing Shape Collections with Alignment-Aware Linear Models

1 code implementation • 3 Sep 2021 • Romain Loiseau, Tom Monnier, Loïc Landrieu, Mathieu Aubry

In this paper, we revisit the classical representation of 3D point clouds as linear shape models.