Explaining Deep Neural Networks for Point Clouds using Gradient-based
Visualisations

Explaining Deep Neural Networks for Point Clouds using Gradient-based Visualisations

Asian Conference on Computer Vision (ACCV), 2022

26 July 2022

Nicolas Schonborn

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Papers citing "Explaining Deep Neural Networks for Point Clouds using Gradient-based Visualisations"

3 / 3 papers shown

Title
Interpretable Affordance Detection on 3D Point Clouds with Probabilistic Prototypes M. Li Korbinian Franz Rudolf Nils Blank Rudolf Lioutikov 3DPC 198 1 0 25 Apr 2025
Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind TurbulenceKnowledge Discovery and Data Mining (KDD), 2025 Zhan Qu Shuzhou Yuan Michael Färber Marius Brennfleck Niklas Wartha Anton Stephan 3DPC 159 0 0 01 Mar 2025
ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformersIEEE Access (IEEE Access), 2023 Ioannis Romanelis Vlassis Fotis Konstantinos Moustakas Adrian Munteanu ViT 3DPC 297 5 0 19 Jun 2023