Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios

11 June 2018

Papers citing "Multi-Task Deep Networks for Depth-Based 6D Object Pose and Joint Registration in Crowd Scenarios"

4 / 4 papers shown

Title
EPOS: Estimating 6D Pose of Objects with Symmetries Tomás Hodan Dániel Baráth Jirí Matas 33 230 0 01 Apr 2020
Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images Juil Sock Guillermo Garcia-Hernando Anil Armagan Tae-Kyun Kim 27 5 0 27 Mar 2020
Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning Juil Sock Guillermo Garcia-Hernando Tae-Kyun Kim 37 11 0 19 Oct 2019
Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd Andreas Doumanoglou R. Kouskouridas S. Malassiotis Tae-Kyun Kim 3DPC 127 227 0 23 Dec 2015