3 citations · 3 across the 2 of their papers we have counts for
4 papers
SSC-Priors: Exploring Semantic and Visibility Priors to Boost Lidar Semantic Scene Completion
Tetiana Martyniuk, Jonathan Seele, Alexandre Boulch +3
This paper investigates easy strategies to boost the performance of existing networks for lidar semantic scene completion (SSC) without requiring complex architectural redesigns. T…
DenseMTL: Cross-task Attention Mechanism for Dense Multi-task Learning
Ivan Lopes, Tuan-Hung Vu, Raoul de Charette
Multi-task learning has recently emerged as a promising solution for a comprehensive understanding of complex scenes. In addition to being memory-efficient, multi-task models, when…
Leveraging Local Domains for Image-to-Image Translation
Anthony Dell'Eva, Fabio Pizzati, Massimo Bertozzi +1
Image-to-image (i2i) networks struggle to capture local changes because they do not affect the global scene structure. For example, translating from highway scenes to offroad, i2i…
Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation
Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette +2
Domain adaptation is an important task to enable learning when labels are scarce. While most works focus only on the image modality, there are many important multi-modal datasets.…