A fully end-to-end deep learning approach for real-time simultaneous 3D
reconstruction and material recognition

A fully end-to-end deep learning approach for real-time simultaneous 3D reconstruction and material recognition

14 March 2017

ArXiv (abs)PDF HTML

Papers citing "A fully end-to-end deep learning approach for real-time simultaneous 3D reconstruction and material recognition"

13 / 13 papers shown

Title
Self-supervised cross-modality learning for uncertainty-aware object detection and recognition in applications which lack pre-labelled training data Irum Mehboob Li Sun Alireza Astegarpanah Rustam Stolkin UQCV 185 0 0 05 Nov 2024
Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile Robots Siva Krishna Ravipati Ehsan Latif Ramviyas Parasuraman S. Bhandarkar 155 2 0 08 Jul 2024
A Taxonomy of Semantic Information in Robot-Assisted Disaster ResponseIEEE International Symposium on Safety, Security and Rescue Robotics (SSRR), 2022 Tianshu Ruan Hao Wang Rustam Stolkin Manolis Chiou 142 4 0 30 Sep 2022
A Dense Material Segmentation Dataset for Indoor and Outdoor Scene ParsingEuropean Conference on Computer Vision (ECCV), 2022 Paul Upchurch Ransen Niu 3DV 130 30 0 21 Jul 2022
Teaching Cameras to Feel: Estimating Tactile Physical Properties of Surfaces From ImagesEuropean Conference on Computer Vision (ECCV), 2020 Matthew Purri Kristin J. Dana 118 20 0 29 Apr 2020
Direct Visual-Inertial Odometry with Semi-Dense MappingComputers & electrical engineering (Comput. Electr. Eng.), 2018 Pedro Henrique Martins Dongkyu Choi Guanghui Wang MDE 93 6 0 04 Oct 2019
EPANer Team Description Paper for World Robot Challenge 2020 Zhi Yan Nathan Crombez Li Sun 77 0 0 05 Sep 2019
Recurrent-OctoMap: Learning State-based Map Refinement for Long-Term Semantic Mapping with 3D-Lidar DataIEEE Robotics and Automation Letters (RA-L), 2018 Li Sun Zhi Yan Anestis Zaganidis Cheng Zhao T. Duckett 3DPC 239 73 0 02 Jul 2018
Context-Aware Mixed Reality: A Framework for Ubiquitous Interaction Long Chen Wen Tang N. John T. Wan Jiangning Zhang 196 18 0 14 Mar 2018
Learning monocular visual odometry with dense 3D mapping from dense 3D flow Cheng Zhao Li Sun Pulak Purkait T. Duckett Rustam Stolkin MDE 160 47 0 06 Mar 2018
Dense RGB-D semantic mapping with Pixel-Voxel neural network Cheng Zhao Li Sun Pulak Purkait Rustam Stolkin 3DPC 262 26 0 30 Sep 2017
Semantic Augmented Reality Environment with Material-Aware Physical Interactions Long Chen Karl Francis Wen Tang 158 8 0 03 Aug 2017
Weakly-supervised DCNN for RGB-D Object Recognition in Real-World Applications Which Lack Large-scale Annotated Training Data Li Sun Cheng Zhao Rustam Stolkin 128 79 0 19 Mar 2017