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se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image
  Residuals in Synthetic Domains

se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

27 July 2020
Bowen Wen
Chaitanya Mitash
Baozhang Ren
Kostas E. Bekris
ArXivPDFHTML

Papers citing "se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains"

27 / 27 papers shown
Title
6DOPE-GS: Online 6D Object Pose Estimation using Gaussian Splatting
6DOPE-GS: Online 6D Object Pose Estimation using Gaussian Splatting
Yufeng Jin
V. Prasad
Snehal Jauhri
Mathias Franzius
Georgia Chalvatzaki
3DGS
137
0
0
02 Dec 2024
Task-driven Perception and Manipulation for Constrained Placement of
  Unknown Objects
Task-driven Perception and Manipulation for Constrained Placement of Unknown Objects
Chaitanya Mitash
Rahul Shome
Bowen Wen
Abdeslam Boularias
Kostas Bekris
31
39
0
28 Jun 2020
Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive
  Hands
Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands
Bowen Wen
Chaitanya Mitash
Sruthi Soorian
A. Kimmel
A. Sintov
Kostas E. Bekris
3DH
83
45
0
07 Mar 2020
PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose
  Estimation
PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
Yisheng He
Wei Sun
Haibin Huang
Jianran Liu
Haoqiang Fan
Jian Sun
3DPC
117
464
0
11 Nov 2019
Scene-level Pose Estimation for Multiple Instances of Densely Packed
  Objects
Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects
Chaitanya Mitash
Bowen Wen
Kostas Bekris
Abdeslam Boularias
3DV
47
20
0
11 Oct 2019
Self-supervised 6D Object Pose Estimation for Robot Manipulation
Self-supervised 6D Object Pose Estimation for Robot Manipulation
Xinke Deng
Yu Xiang
Arsalan Mousavian
Clemens Eppner
Timothy Bretl
Dieter Fox
3DPC
SSL
70
185
0
23 Sep 2019
PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose
  Tracking
PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking
Xinke Deng
Arsalan Mousavian
Yu Xiang
F. Xia
Timothy Bretl
Dieter Fox
61
201
0
22 May 2019
Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
M. Sundermeyer
Zoltán-Csaba Márton
M. Durner
Manuel Brucker
Rudolph Triebel
3DH
3DPC
46
551
0
04 Feb 2019
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
Chen Wang
Danfei Xu
Yuke Zhu
Roberto Martín-Martín
Cewu Lu
Li Fei-Fei
Silvio Savarese
MDE
76
952
0
15 Jan 2019
Deep Object Pose Estimation for Semantic Robotic Grasping of Household
  Objects
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects
Jonathan Tremblay
Thang To
Balakumar Sundaralingam
Yu Xiang
Dieter Fox
Stan Birchfield
70
655
0
27 Sep 2018
A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple
  Object Tracking
A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking
H. Tjaden
Ulrich Schwanecke
E. Schömer
Daniel Cremers
53
84
0
05 Jul 2018
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose
  Estimation
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation
Jonathan Tremblay
Thang To
Stan Birchfield
54
169
0
18 Apr 2018
DeepIM: Deep Iterative Matching for 6D Pose Estimation
DeepIM: Deep Iterative Matching for 6D Pose Estimation
Yi Li
Gu Wang
Xiangyang Ji
Yu Xiang
Dieter Fox
3DH
3DPC
98
702
0
31 Mar 2018
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in
  Cluttered Scenes
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
Yu Xiang
Tanner Schmidt
V. Narayanan
Dieter Fox
3DPC
114
1,944
0
01 Nov 2017
Deep 6-DOF Tracking
Deep 6-DOF Tracking
Mathieu Garon
Jean-François Lalonde
3DPC
56
85
0
28 Mar 2017
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
184
2,948
0
20 Mar 2017
A Self-supervised Learning System for Object Detection using Physics
  Simulation and Multi-view Pose Estimation
A Self-supervised Learning System for Object Detection using Physics Simulation and Multi-view Pose Estimation
Chaitanya Mitash
Kostas E. Bekris
Abdeslam Boularias
44
116
0
09 Mar 2017
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects
Tomás Hodan
Pavel Haluza
Stepán Obdrzálek
Jirí Matas
Manolis I. A. Lourakis
Xenophon Zabulis
59
497
0
19 Jan 2017
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
79
1,800
0
22 Dec 2016
Direct Sparse Odometry
Direct Sparse Odometry
Jakob Engel
V. Koltun
Daniel Cremers
63
2,511
0
09 Jul 2016
How useful is photo-realistic rendering for visual learning?
How useful is photo-realistic rendering for visual learning?
Yair Movshovitz-Attias
T. Kanade
Yaser Sheikh
3DH
3DV
51
150
0
26 Mar 2016
Depth-Based Object Tracking Using a Robust Gaussian Filter
Depth-Based Object Tracking Using a Robust Gaussian Filter
J. Issac
Manuel Wüthrich
C. Cifuentes
Jeannette Bohg
Sebastian Trimpe
S. Schaal
26
77
0
19 Feb 2016
Probabilistic Object Tracking using a Range Camera
Probabilistic Object Tracking using a Range Camera
Manuel Wüthrich
P. Pastor
Mrinal Kalakrishnan
Jeannette Bohg
S. Schaal
37
81
0
01 May 2015
FlowNet: Learning Optical Flow with Convolutional Networks
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
261
4,159
0
26 Apr 2015
ORB-SLAM: a Versatile and Accurate Monocular SLAM System
ORB-SLAM: a Versatile and Accurate Monocular SLAM System
Raul Mur-Artal
José M.M. Montiel
Juan D. Tardós
78
6,364
0
03 Feb 2015
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
162
8,309
0
06 Nov 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
221
5,990
0
26 Sep 2014
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