activity
20202026
most citedSalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

99 citations · 99 across the 5 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.CV2023

Semantics-aware LiDAR-Only Pseudo Point Cloud Generation for 3D Object Detection

Tiago Cortinhal, Idriss Gouigah, Eren Erdal Aksoy

Although LiDAR sensors are crucial for autonomous systems due to providing precise depth information, they struggle with capturing fine object details, especially at a distance, du…

cs.CV2023

Depth- and Semantics-aware Multi-modal Domain Translation: Generating 3D Panoramic Color Images from LiDAR Point Clouds

Tiago Cortinhal, Eren Erdal Aksoy

This work presents a new depth- and semantics-aware conditional generative model, named TITAN-Next, for cross-domain image-to-image translation in a multi-modal setup between LiDAR…