A dual-layer user model based cognitive system for user-adaptive service robots. - Seong-Yong Koo; Kiru Park; Hyun Kim; Dong-Soo Kwon (RO-MAN, 2011)

Mutual Hypothesis Verification for 6D Pose Estimation of Natural Objects. - Kiru Park; Johann Prankl; Markus Vincze (ICCV Workshops, 2017)

Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation. - Kiru Park; Timothy Patten; Markus Vincze (ICCV, 2019)

Multi-Task Template Matching for Object Detection, Segmentation and Pose Estimation Using Depth Images. - Kiru Park; Timothy Patten; Johann Prankl; Markus Vincze (ICRA, 2019)

Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images. - Kiru Park; Timothy Patten; Markus Vincze (ECCV (4), 2020)

Learn, detect, and grasp objects in real-world settings. - Markus Vincze; Timothy Patten; Kiru Park; Dominik Bauer (Elektrotech. Informationstechnik, 2020)

DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-Based Robotic Grasping. - Timothy Patten; Kiru Park; Markus Vincze (Frontiers Robotics AI, 2020)

Unsupervised Domain Adaptation Through Inter-Modal Rotation for RGB-D Object Recognition. - Mohammad Reza Loghmani; Luca Robbiano; Mirco Planamente; Kiru Park; Barbara Caputo; Markus Vincze (IEEE Robotics Autom. Lett., 2020)

Object Learning for 6D Pose Estimation and Grasping from RGB-D Videos of In-hand Manipulation. - Timothy Patten; Kiru Park; Markus Leitner; Kevin Wolfram; Markus Vincze (IROS, 2021)