Name Card

Full name Familienname, Vorname
Park, Kiru
 
Main Affiliation Organisations­zuordnung
 

Own Publications Eigene Publikationen

Results 1-11 of 11 (Search time: 0.008 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Vincze, Markus ; Patten, Timothy ; Park, Kiru ; Bauer, Dominik Learn, detect, and grasp objects in real-world settingsArtikel Article 2020
2Loghmani, Mohammad Reza ; Robbiano, Luca ; Planamente, Mirco ; Park, Kiru ; Caputo, Barbara ; Vincze, Markus Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object RecognitionArtikel Article 2020
3Park, Kiru ; Patten, Timothy ; Vincze, Markus Neural Object Learning for 6D Pose Estimation Using a Few Cluttered ImagesKonferenzbeitrag Inproceedings2020
4Neuberger, Bernhard ; Patten, Timothy ; Park, Kiru ; Vincze, Markus Self-initialized Visual Servoing for Accurate End-effector PositioningKonferenzbeitrag Inproceedings2020
5Park Kiru - 2020 - 6D pose estimation of objects using limited training data.pdf.jpgPark, Kiru 6D pose estimation of objects using limited training dataThesis Hochschulschrift 2020
6Patten, Timothy ; Park, Kiru ; Vincze, Markus DGCM-Net: Dense geometrical correspondence matching network for incremental experience-based robotic graspingArtikel Article 2020
7Park, Kiru ; Patten, Timothy ; Vincze, Markus Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose EstimationKonferenzbeitrag Inproceedings 2019
8Thalhammer, Stefan ; Park, Kiru ; Patten, Timothy ; Vincze, Markus SyDD: Synthetic Depth Data Randomization for Object Detection using Domain-Relevant BackgroundKonferenzbeitrag Inproceedings 2019
9Park, Kiru ; Patten, Timothy ; Prankl, Johann ; Vincze, Markus Multi-task template matching for object detection, segmentation and pose estimation using depth imagesKonferenzbeitrag Inproceedings 2019
10Park, Kiru ; Prankl, Johann ; Vincze, Markus Mutual Hypothesis Verification for 6D Pose Estimation of Natural ObjectsKonferenzbeitrag Inproceedings2017
11Park, Kiru ; Prankl, Johann ; Zillich, Michael ; Vincze, Markus Pose Estimation of Similar Shape Objects using Convolutional Neural Network trained by Synthetic dataKonferenzbeitrag Inproceedings 2017