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Finding Your (3D) Center: 3D Object Detection Using a Learned Loss

Finding Your (3D) Center: 3D Object Detection Using a Learned Loss

6 April 2020
David J. Griffiths
Jan Boehm
Tobias Ritschel
    3DPC
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Papers citing "Finding Your (3D) Center: 3D Object Detection Using a Learned Loss"

3 / 3 papers shown
Title
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
C. Qi
Xinlei Chen
Or Litany
Leonidas J. Guibas
3DPC
182
245
0
29 Jan 2020
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Iro Armeni
S. Sax
Amir Zamir
Silvio Savarese
3DV
3DPC
113
873
0
03 Feb 2017
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient
  Convolutional Neural Networks
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
Martin Engelcke
Dushyant Rao
Dominic Zeng Wang
Chi Hay Tong
Ingmar Posner
3DPC
190
520
0
21 Sep 2016
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