ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.11275
  4. Cited By
Center-based 3D Object Detection and Tracking

Center-based 3D Object Detection and Tracking

19 June 2020
Tianwei Yin
Xingyi Zhou
Philipp Krahenbuhl
    3DPC
ArXivPDFHTML

Papers citing "Center-based 3D Object Detection and Tracking"

8 / 58 papers shown
Title
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
Xinshuo Weng
Jianren Wang
David Held
Kris Kitani
VOT
3DPC
53
122
0
09 Jul 2019
Deep Hough Voting for 3D Object Detection in Point Clouds
Deep Hough Voting for 3D Object Detection in Point Clouds
C. Qi
Or Litany
Kaiming He
Leonidas Guibas
3DPC
71
1,275
0
21 Apr 2019
nuScenes: A multimodal dataset for autonomous driving
nuScenes: A multimodal dataset for autonomous driving
Holger Caesar
Varun Bankiti
Alex H. Lang
Sourabh Vora
Venice Erin Liong
Qiang Xu
Anush Krishnan
Yuxin Pan
G. Baldan
Oscar Beijbom
3DPC
216
5,653
0
26 Mar 2019
Tracking without bells and whistles
Tracking without bells and whistles
Philipp Bergmann
Tim Meinhardt
Laura Leal-Taixe
VOT
85
905
0
13 Mar 2019
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
Shaoshuai Shi
Xiaogang Wang
Hongsheng Li
3DPC
137
2,392
0
11 Dec 2018
Frustum PointNets for 3D Object Detection from RGB-D Data
Frustum PointNets for 3D Object Detection from RGB-D Data
C. Qi
Wen Liu
Chenxia Wu
Hao Su
Leonidas Guibas
3DPC
118
2,257
0
22 Nov 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
227
520
0
21 Sep 2016
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
351
7,650
0
03 Jul 2012
Previous
12