A 3D-Deep-Learning-based Augmented Reality Calibration Method for Robotic Environments using Depth Sensor Data

27 December 2019

Papers citing "A 3D-Deep-Learning-based Augmented Reality Calibration Method for Robotic Environments using Depth Sensor Data"

8 / 8 papers shown

Title
Training an Open-Vocabulary Monocular 3D Object Detection Model without 3D Data Rui Huang Henry Zheng Yan Wang Zhuofan Xia Marco Pavone Gao Huang 3DPC VLM 83 1 0 23 Nov 2024
EndoOmni: Zero-Shot Cross-Dataset Depth Estimation in Endoscopy by Robust Self-Learning from Noisy Labels Qingyao Tian Zhen Chen Huai Liao Xinyan Huang Lujie Li Sebastien Ourselin Hongbin Liu 95 1 0 09 Sep 2024
Transformers in Unsupervised Structure-from-Motion Hemang Chawla Arnav Varma Elahe Arani Bahram Zonooz ViT 21 1 0 16 Dec 2023
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition Deepti Hegde Jeya Maria Jose Valanarasu Vishal M. Patel CLIP 37 65 0 20 Mar 2023
Adaptive Local Adversarial Attacks on 3D Point Clouds for Augmented Reality Weiquan Liu Shijun Zheng Cheng-i Wang 3DPC AAML 24 2 0 12 Mar 2023
Mixed reality hologram slicer (mxdR-HS): a marker-less tangible user interface for interactive holographic volume visualization Hoijoon Jung Younhyun Jung M. Fulham Jinman Kim 27 2 0 26 Jan 2022
SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering Yifan Zhao Le Hui Jin Xie 3DPC 10 34 0 01 Aug 2021
A Markerless Deep Learning-based 6 Degrees of Freedom PoseEstimation for with Mobile Robots using RGB Data Linh Kästner D. Dimitrov Jens Lambrecht 11 4 0 16 Jan 2020