What You See is What You Get: Exploiting Visibility for 3D Object Detection

10 December 2019

Papers citing "What You See is What You Get: Exploiting Visibility for 3D Object Detection"

25 / 25 papers shown

Title
UnO: Unsupervised Occupancy Fields for Perception and Forecasting Ben Agro Quinlan Sykora Sergio Casas Thomas Gilles R. Urtasun 35 13 0 12 Jun 2024
Circular Accessible Depth: A Robust Traversability Representation for UGV Navigation Shikuan Xie Ran Song Yuenan Zhao Xueqin Huang Yibin Li Wei Zhang 27 9 0 28 Dec 2022
Differentiable Raycasting for Self-supervised Occupancy Forecasting Tarasha Khurana Peiyun Hu Achal Dave Jason Ziglar David Held Deva Ramanan 13 67 0 04 Oct 2022
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network Liang Du Xiaoqing Ye Xiao Tan Edward Johns Boyu Chen Errui Ding Xiangyang Xue Jianfeng Feng 3DPC 13 35 0 24 Aug 2022
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds Junbo Yin Jianbing Shen Xin Gao David J. Crandall Ruigang Yang 3DPC ViT 35 59 0 26 Jul 2022
Teachers in concordance for pseudo-labeling of 3D sequential data Awet Haileslassie Gebrehiwot Patrik Vacek David Hurych Karel Zimmermann P. Pérez Tomáš Svoboda 3DPC 12 6 0 13 Jul 2022
SpOT: Spatiotemporal Modeling for 3D Object Tracking Colton Stearns Davis Rempe Jie Li Rares Ambrus Sergey Zakharov Vitor Campagnolo Guizilini Yanchao Yang Leonidas J. Guibas 3DPC 17 10 0 12 Jul 2022
Boosting 3D Object Detection by Simulating Multimodality on Point Clouds Wu Zheng Ming-Hong Hong Li Jiang Chi-Wing Fu 3DPC 23 30 0 30 Jun 2022
A Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation H. Fazlali Yixuan Xu Y. Ren Bingbing Liu 3DPC 24 21 0 04 Mar 2022
Revisiting 3D Object Detection From an Egocentric Perspective Boyang Deng C. Qi Mahyar Najibi Thomas Funkhouser Yin Zhou Drago Anguelov 3DPC 25 25 0 14 Dec 2021
Multimodal Virtual Point 3D Detection Tianwei Yin Xingyi Zhou Philipp Krahenbuhl 3DPC 148 245 0 12 Nov 2021
3D-FCT: Simultaneous 3D Object Detection and Tracking Using Feature Correlation Naman Sharma H. Lim 3DPC 23 2 0 06 Oct 2021
4D-Net for Learned Multi-Modal Alignment A. Piergiovanni Vincent Casser Michael S. Ryoo A. Angelova 3DPC 91 55 0 02 Sep 2021
Score refinement for confidence-based 3D multi-object tracking Nuri Benbarka Jona Schröder A. Zell VOT 11 48 0 09 Jul 2021
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding Kunyu Peng Juncong Fei Kailun Yang Alina Roitberg Jiaming Zhang Frank Bieder Philipp Heidenreich Christoph Stiller Rainer Stiefelhagen 3DPC 17 43 0 01 Jul 2021
Multi-Modal 3D Object Detection in Autonomous Driving: a Survey Yingjie Wang Qi Mao Hanqi Zhu Jiajun Deng Yu Zhang Jianmin Ji Houqiang Li Yanyong Zhang 3DPC 32 138 0 24 Jun 2021
FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection Shaoqing Xu Dingfu Zhou Jin Fang Junbo Yin Bin Zhou Liangjun Zhang 3DPC 28 154 0 23 Jun 2021
3D Object Detection for Autonomous Driving: A Survey Rui Qian Xin Lai Xirong Li 3DPC 24 318 0 21 Jun 2021
Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation Zixiang Zhou Yang Zhang H. Foroosh 3DPC 27 123 0 27 Mar 2021
RangeDet:In Defense of Range View for LiDAR-based 3D Object Detection Lue Fan Xuan Xiong Feng Wang Nai-long Wang Zhaoxiang Zhang 3DPC 25 219 0 18 Mar 2021
Offboard 3D Object Detection from Point Cloud Sequences C. Qi Yin Zhou Mahyar Najibi Pei Sun Khoa T. Vo Boyang Deng Dragomir Anguelov 3DPC 26 174 0 08 Mar 2021
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds Rui Huang Wanyue Zhang Abhijit Kundu C. Pantofaru David A. Ross Thomas Funkhouser Alireza Fathi 3DPC 19 81 0 24 Jul 2020
InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling Jun Wang Shiyi Lan M. Gao L. Davis 3DPC 17 65 0 16 Jul 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 156 169 0 30 Dec 2019
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 238 3,236 0 24 Nov 2016