Is Depth Really Necessary for Salient Object Detection? ACM MM 2020
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Updated
May 30, 2024 - Python
Is Depth Really Necessary for Salient Object Detection? ACM MM 2020
[AAAI 2023] CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets
AK_VIDEO_ANALYZER that analyses videos on which to automatically detect apples, estimate their size and predict yield at the plot or per hectare scale using the appropriate simulated algorithms.
AKFruitYield: AK_SW_BENCHMARKER Azure Kinect Size Estimation & Weight Prediction Benchmarker.
AKFruitData - AK_FRAEX: Tool for extracting frames from video files produced with Azure Kinect cameras. RGB-D camera, Data acquisition, Data extraction, Fruit yield trials, Precision fruticulture.https://doi.org/10.1016/j.softx.2022.101231
AKFruitData - AK_SM_RECORDER. Azure Kinect single mode recorder. https://pypi.org/project/ak-sm-recorder/
Applying Open3D functions to integrate experimentally measured color and depth frames into a 3D object.
[TIP 2022] official repo of "Weakly Supervised RGB-D Salient Object Detection with Prediction Consistency Training and Active Scribble Boosting"
A project for computing high-quality ground truth training examples for RGB-D data.
Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation
Fast and robust upper body orientation estimation for mobile robotic applications
Robust RGB-D-IMU Calibration Method Applied to GPS-aided Pose Estimation
Multi-Modal scene recognition using multi-scale encoded features (IMAVIS 2022)
Visualize Data From Stray Scanner https://keke.dev/blog/2021/03/10/Stray-Scanner.html
AKFruitData. This repository contents source code of two applications presented in the article https://doi.org/10.1016/j.softx.2022.101231 at the time of its publication in SoftwareX Journal.
AKFruitData - ak_acquisition_system is a software solution for data acquisition in fruit orchards using a sensor system boarded on a terrestrial vehicle. It allows the coordination of computers and sensors through the sending of remote commands via a GUI. https://doi.org/10.1016/j.softx.2022.101231
This repository contains all the scripts used in the master thesis entitled " Autonmous Grabbing with RGB-D", in which an Intel Realsense D455 camera is used to enable a Kuka IIWA 14 robotic arm grab and track a suspended block with the help of ArUco markers
3D pose estimation of an RGB-D camera using the least squares technique
Source code of the framework proposed in the paper "Generative RGB-D Face Completion for Head-Mounted Display Removal", presented at the VHCIE workshop at IEEE VR 2021.
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