Learning to Reconstruct and Segment 3D Objects

19 October 2020

Papers citing "Learning to Reconstruct and Segment 3D Objects"

10 / 10 papers shown

Title
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
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots Qi Chen Lin Sun Zhixin Wang K. Jia Alan Yuille 3DPC 156 167 0 30 Dec 2019
Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks J. Pan Xiaoguang Han Weikai Chen Jiapeng Tang K. Jia 96 190 0 01 Sep 2019
BirdNet: a 3D Object Detection Framework from LiDAR information Jorge Beltrán Carlos Guindel Francisco Miguel Moreno Daniel Cruzado F. García A. D. L. Escalera 3DPC 132 250 0 03 May 2018
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations Zhihua Wang Stefano Rosa Bo Yang Sen Wang A. Trigoni Andrew Markham AI4CE 33 25 0 25 Apr 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 150 766 0 30 Mar 2018
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 224 3,185 0 30 Oct 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 164 1,939 0 24 Oct 2016
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras Raul Mur-Artal Juan D. Tardós 204 5,352 0 20 Oct 2016
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