no code implementations • 18 Jan 2023 • Zongwei Wu, Guillaume Allibert, Fabrice Meriaudeau, Chao Ma, Cédric Demonceaux
In this paper, from a new perspective, we propose a novel Hierarchical Depth Awareness network (HiDAnet) for RGB-D saliency detection.
1 code implementation • 2 Aug 2022 • Zongwei Wu, Shriarulmozhivarman Gobichettipalayam, Brahim Tamadazte, Guillaume Allibert, Danda Pani Paudel, Cédric Demonceaux
In this work, we aim for RGB-D saliency detection that is robust to the low-quality depths which primarily appear in two forms: inaccuracy due to noise and the misalignment to RGB.
no code implementations • 8 Jun 2022 • Zongwei Wu, Guillaume Allibert, Christophe Stolz, Chao Ma, Cédric Demonceaux
Recent RGB-D semantic segmentation has motivated research interest thanks to the accessibility of complementary modalities from the input side.
Ranked #41 on Semantic Segmentation on NYU Depth v2
no code implementations • 10 Oct 2021 • Zongwei Wu, Guillaume Allibert, Christophe Stolz, Chao Ma, Cédric Demonceaux
Recent RGBD-based models for saliency detection have attracted research attention.
no code implementations • 21 Sep 2020 • Zongwei Wu, Guillaume Allibert, Christophe Stolz, Cedric Demonceaux
These filters compute the spatial coherence by weighting the photometric information on a fixed neighborhood without taking into account the geometric information.