Popular GitHub Repositories for Ntu Rgbd

An extension of Open3D to address 3D Machine Learning tasks

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

Intrinsic3D - High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting (ICCV 2017)

台大 NTU 李宏毅老師 2021 年機器學習課程筆記

A paper list of RGBD semantic segmentation (processing)

MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

[WACV2022] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection

[ECCV2022] FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection

[CVPR 2022] Code release for "Multimodal Token Fusion for Vision Transformers"

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Object Detection on Radar sensor and RGB camera images. https://ieeexplore.ieee.org/document/9191046 Full Thesis : RADAR+RGB Fusion for Robust Object Detection in Autonomous Vehicles. Zenodo. https://doi.org/10.5281/zenodo.13738235

Official implementation of the paper " FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anything "

TriDepth: Triangular Patch-based Deep Depth Prediction [Kaneko+, ICCVW2019(oral)]

Official code repository for the paper: "The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement"

Machine Learning (EE 5184) in NTU

Official code repository for the paper: "Shakes on a Plane: Unsupervised Depth Estimation from Unstabilized Photography"

Python ROS depth estimation from RGB image based on code from the paper "High Quality Monocular Depth Estimation via Transfer Learning"

Deep Learning for Computer Vision (CommE 5052) in NTU

CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection