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Convex Relaxations of SE(2) and SE(3) for Visual Pose Estimation
IEEE International Conference on Robotics and Automation (ICRA), 2014
15 January 2014
Matanya B. Horowitz
Nikolai Matni
J. W. Burdick
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Papers citing
"Convex Relaxations of SE(2) and SE(3) for Visual Pose Estimation"
8 / 8 papers shown
Certifiably Optimal Anisotropic Rotation Averaging
Carl Olsson
Yaroslava Lochman
Johan Malmport
Christopher Zach
181
2
0
10 Mar 2025
Certifiably Optimal Rotation and Pose Estimation Based on the Cayley Map
Timothy D. Barfoot
Connor T. Holmes
Frederike Dumbgen
243
18
0
23 Aug 2023
Coarse-to-Fine Point Cloud Registration with SE(3)-Equivariant Representations
IEEE International Conference on Robotics and Automation (ICRA), 2022
Chengxuan Lin
Tung-I Chen
Hsin-Ying Lee
Wen-Chin Chen
Winston H. Hsu
3DPC
293
13
0
05 Oct 2022
High-dimensional Convolutional Networks for Geometric Pattern Recognition
Chris Choy
Junha Lee
René Ranftl
Jaesik Park
V. Koltun
3DPC
AI4CE
213
51
0
17 May 2020
Globally optimal registration of noisy point clouds
Rangaprasad Arun Srivatsan
T. Zodage
Howie Choset
3DPC
117
3
0
22 Aug 2019
PCRNet: Point Cloud Registration Network using PointNet Encoding
Vinit Sarode
Xueqian Li
Hunter Goforth
Yasuhiro Aoki
Rangaprasad Arun Srivatsan
Simon Lucey
Howie Choset
3DPC
365
277
0
21 Aug 2019
PointNetLK: Robust & Efficient Point Cloud Registration using PointNet
Yasuhiro Aoki
Hunter Goforth
Rangaprasad Arun Srivatsan
Simon Lucey
3DV
3DPC
321
884
0
13 Mar 2019
Convex Model Predictive Control for Vehicular Systems
T. A. Huang
Matanya B. Horowitz
J. W. Burdick
89
2
0
10 Oct 2014
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