Convolutional Bayesian Kernel Inference for 3D Semantic Mapping

21 September 2022

Papers citing "Convolutional Bayesian Kernel Inference for 3D Semantic Mapping"

6 / 6 papers shown

Title
LatentBKI: Open-Dictionary Continuous Mapping in Visual-Language Latent Spaces with Quantifiable Uncertainty Joey Wilson Ruihan Xu Yile Sun Parker Ewen Minghan Zhu Kira Barton Maani Ghaffari 31 0 0 15 Oct 2024
Particle-based Instance-aware Semantic Occupancy Mapping in Dynamic Environments Gang Chen Zhaoying Wang Wei Dong Javier Alonso-Mora 54 0 0 18 Sep 2024
Panoptic Multi-TSDFs: a Flexible Representation for Online Multi-resolution Volumetric Mapping and Long-term Dynamic Scene Consistency L. Schmid J. Delmerico Johannes L. Schonberger Juan I. Nieto Marc Pollefeys Roland Siegwart César Cadena 111 46 0 21 Sep 2021
Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference Aishwarya Unnikrishnan Joey Wilson Lu Gan Andrew Capodieci P. Jayakumar Kira Barton Maani Ghaffari 3DPC 19 6 0 06 Aug 2021
Convolutional Occupancy Networks Songyou Peng Michael Niemeyer L. Mescheder Marc Pollefeys Andreas Geiger 3DV AI4CE 209 860 0 10 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017