Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual Correspondence

13 June 2022

Papers citing "Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual Correspondence"

9 / 9 papers shown

Title
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Yuan Luo Rudolf Hoffmann Yan Xia Olaf Wysocki Benedikt Schwab T. H. Kolbe Daniel Cremers 31 0 0 16 Apr 2025
Bootstrapping Autonomous Driving Radars with Self-Supervised Learning Yiduo Hao Sohrab Madani Junfeng Guan Mohammed Alloulah Saurabh Gupta Haitham Hassanieh SSL 21 3 0 07 Dec 2023
Unsupervised Learning for Human Sensing Using Radio Signals Tianhong Li Lijie Fan Yuan. Yuan Dina Katabi SSL 37 34 0 06 Jul 2022
Self-Supervised Multi-Modal Alignment for Whole Body Medical Imaging Rhydian Windsor A. Jamaludin T. Kadir Andrew Zisserman 19 16 0 14 Jul 2021
RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic Road Users Ao Zhang F. Nowruzi R. Laganière 27 87 0 02 May 2021
Understanding self-supervised Learning Dynamics without Contrastive Pairs Yuandong Tian Xinlei Chen Surya Ganguli SSL 138 278 0 12 Feb 2021
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Luc Van Gool SSL 185 247 0 11 Feb 2021
RADIATE: A Radar Dataset for Automotive Perception in Bad Weather Marcel Sheeny Emanuele De Pellegrin S. Mukherjee Alireza Ahrabian Sen Wang Andrew M. Wallace 56 197 0 18 Oct 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020