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ConvPoseCNN: Dense Convolutional 6D Object Pose Estimation

ConvPoseCNN: Dense Convolutional 6D Object Pose Estimation

16 December 2019
Catherine Capellen
Max Schwarz
Sven Behnke
ArXivPDFHTML

Papers citing "ConvPoseCNN: Dense Convolutional 6D Object Pose Estimation"

5 / 5 papers shown
Title
FastPoseCNN: Real-Time Monocular Category-Level Pose and Size Estimation
  Framework
FastPoseCNN: Real-Time Monocular Category-Level Pose and Size Estimation Framework
Eduardo Davalos
Mehran Aminian
26
0
0
16 Jun 2024
YOLOPose V2: Understanding and Improving Transformer-based 6D Pose
  Estimation
YOLOPose V2: Understanding and Improving Transformer-based 6D Pose Estimation
Arul Selvam Periyasamy
Arash A. Amini
Vladimir Tsaturyan
Sven Behnke
ViT
30
16
0
21 Jul 2023
ConvPoseCNN2: Prediction and Refinement of Dense 6D Object Poses
ConvPoseCNN2: Prediction and Refinement of Dense 6D Object Poses
Arul Selvam Periyasamy
Catherine Capellen
Max Schwarz
Sven Behnke
23
1
0
23 May 2022
MonoCInIS: Camera Independent Monocular 3D Object Detection using
  Instance Segmentation
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation
Jonas Heylen
Mark De Wolf
Bruno Dawagne
Marc Proesmans
Luc Van Gool
Wim Abbeloos
Hazem Abdelkawy
Daniel Olmeda Reino
90
23
0
01 Oct 2021
6D Object Pose Estimation using Keypoints and Part Affinity Fields
6D Object Pose Estimation using Keypoints and Part Affinity Fields
Moritz Zappel
S. Bultmann
Sven Behnke
3DPC
19
9
0
05 Jul 2021
1