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DGCM-Net: Dense Geometrical Correspondence Matching Network for
  Incremental Experience-based Robotic Grasping
v1v2 (latest)

DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-based Robotic Grasping

Frontiers in Robotics and AI (Front. Robot. AI), 2020
15 January 2020
T. Patten
Kiru Park
Markus Vincze
ArXiv (abs)PDFHTML

Papers citing "DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-based Robotic Grasping"

11 / 11 papers shown
UniGarmentManip: A Unified Framework for Category-Level Garment
  Manipulation via Dense Visual Correspondence
UniGarmentManip: A Unified Framework for Category-Level Garment Manipulation via Dense Visual Correspondence
Kai Cheng
Haoran Lu
Yiyan Wang
Yubo Wang
Hao Dong
338
37
0
11 May 2024
Challenges for Monocular 6D Object Pose Estimation in Robotics
Challenges for Monocular 6D Object Pose Estimation in RoboticsIEEE Transactions on robotics (TRO), 2023
S. Thalhammer
Dominik Bauer
Peter Honig
Jean-Baptiste Weibel
José García-Rodríguez
Markus Vincze
367
48
0
22 Jul 2023
Self-supervised Vision Transformers for 3D Pose Estimation of Novel
  Objects
Self-supervised Vision Transformers for 3D Pose Estimation of Novel ObjectsImage and Vision Computing (IVC), 2023
S. Thalhammer
Jean-Baptiste Weibel
Markus Vincze
Jose Garcia-Rodriguez
ViT
336
14
0
31 May 2023
Perceiving Unseen 3D Objects by Poking the Objects
Perceiving Unseen 3D Objects by Poking the ObjectsIEEE International Conference on Robotics and Automation (ICRA), 2023
Linghao Chen
Yunzhou Song
Hujun Bao
Xiaowei Zhou
298
10
0
26 Feb 2023
Open Challenges for Monocular Single-shot 6D Object Pose Estimation
S. Thalhammer
Peter Honig
Jean-Baptiste Weibel
Markus Vincze
478
4
0
23 Feb 2023
COPE: End-to-end trainable Constant Runtime Object Pose Estimation
COPE: End-to-end trainable Constant Runtime Object Pose EstimationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
S. Thalhammer
T. Patten
Markus Vincze
3DPC
292
16
0
18 Aug 2022
TransGrasp: Grasp Pose Estimation of a Category of Objects by
  Transferring Grasps from Only One Labeled Instance
TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled InstanceEuropean Conference on Computer Vision (ECCV), 2022
Hongtao Wen
Jianhang Yan
Wanli Peng
Yi Sun
279
27
0
16 Jul 2022
Deep Learning Approaches to Grasp Synthesis: A Review
Deep Learning Approaches to Grasp Synthesis: A ReviewIEEE Transactions on robotics (TRO), 2022
Rhys Newbury
Morris Gu
Lachlan Chumbley
Arsalan Mousavian
Clemens Eppner
...
A. Morales
Tamim Asfour
Danica Kragic
Dieter Fox
Akansel Cosgun
389
247
0
06 Jul 2022
Fully Self-Supervised Class Awareness in Dense Object Descriptors
Fully Self-Supervised Class Awareness in Dense Object Descriptors
Denis Hadjivelichkov
Dimitrios Kanoulas
185
10
0
05 Oct 2021
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from
  Simulation
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
Bowen Wen
Wenzhao Lian
Kostas Bekris
S. Schaal
206
102
0
19 Sep 2021
RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images
RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD ImagesIEEE International Conference on Robotics and Automation (ICRA), 2021
Minghao Gou
Haoshu Fang
Zhanda Zhu
Shengwei Xu
Chenxi Wang
Cewu Lu
238
133
0
03 Mar 2021
1
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