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2007.01418
Cited By
Learning Orientation Distributions for Object Pose Estimation
2 July 2020
Brian Okorn
Mengyun Xu
M. Hebert
David Held
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Papers citing
"Learning Orientation Distributions for Object Pose Estimation"
17 / 17 papers shown
Title
Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
M. Sundermeyer
Zoltán-Csaba Márton
M. Durner
Manuel Brucker
Rudolph Triebel
3DH
3DPC
53
551
0
04 Feb 2019
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
86
952
0
15 Jan 2019
Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data
Fabian Manhardt
Diego Martin Arroyo
Christian Rupprecht
Benjamin Busam
Tolga Birdal
Nassir Navab
Federico Tombari
49
120
0
01 Dec 2018
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects
Jonathan Tremblay
Thang To
Balakumar Sundaralingam
Yu Xiang
Dieter Fox
Stan Birchfield
75
655
0
27 Sep 2018
Learning Robotic Assembly from CAD
G. Thomas
Melissa Chien
Aviv Tamar
J. A. Ojea
Pieter Abbeel
49
150
0
20 Mar 2018
SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again
Wadim Kehl
Fabian Manhardt
Federico Tombari
Slobodan Ilic
Nassir Navab
110
922
0
27 Nov 2017
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
Yu Xiang
Tanner Schmidt
V. Narayanan
Dieter Fox
3DPC
118
1,944
0
01 Nov 2017
Critical Hyper-Parameters: No Random, No Cry
Olivier Bousquet
Sylvain Gelly
Karol Kurach
O. Teytaud
Damien Vincent
37
40
0
10 Jun 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
317
4,667
0
15 Mar 2017
SegICP: Integrated Deep Semantic Segmentation and Pose Estimation
J. M. Wong
Vincent Kee
T. Le
S. Wagner
G. Mariottini
...
Mitchell Hebert
David M. S. Johnson
Jimmy Wu
Bolei Zhou
Antonio Torralba
46
147
0
05 Mar 2017
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge
Andy Zeng
Kuan-Ting Yu
Shuran Song
Daniel Suo
Ed Walker
Alberto Rodriguez
Jianxiong Xiao
SSL
47
458
0
29 Sep 2016
Efficient Global Point Cloud Alignment using Bayesian Nonparametric Mixtures
Julian Straub
Trevor Campbell
Jonathan P. How
John W. Fisher III
3DPC
3DV
34
46
0
15 Mar 2016
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Alex Kendall
Vijay Badrinarayanan
R. Cipolla
UQCV
BDL
78
1,062
0
09 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
550
9,233
0
06 Jun 2015
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
Hao Su
C. Qi
Yangyan Li
Leonidas Guibas
97
737
0
21 May 2015
Learning Descriptors for Object Recognition and 3D Pose Estimation
Paul Wohlhart
Vincent Lepetit
55
445
0
20 Feb 2015
Unscented Orientation Estimation Based on the Bingham Distribution
Igor Gilitschenski
G. Kurz
S. Julier
U. Hanebeck
48
73
0
22 Nov 2013
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