Do you see the bakery? Leveraging geo-referenced texts for global localization in public maps. - Noha Radwan; Gian Diego Tipaldi; Luciano Spinello; Wolfram Burgard (ICRA, 2016)

Why did the robot cross the road? - Learning from multi-modal sensor data for autonomous road crossing. - Noha Radwan; Wera Winterhalter; Christian Dornhege; Wolfram Burgard (IROS, 2017)

Perspectives on Deep Multimodel Robot Learning. - Wolfram Burgard; Abhinav Valada; Noha Radwan; Tayyab Naseer; Jingwei Zhang 001; Johan Vertens; Oier Mees; Andreas Eitel; Gabriel L. Oliveira (ISRR, 2017)

Topometric Localization with Deep Learning. - Gabriel L. Oliveira; Noha Radwan; Wolfram Burgard; Thomas Brox (ISRR, 2017)

Deep Auxiliary Learning for Visual Localization and Odometry. - Abhinav Valada; Noha Radwan; Wolfram Burgard (ICRA, 2018)

VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry. - Noha Radwan; Abhinav Valada; Wolfram Burgard (IEEE Robotics Autom. Lett., 2018)

Leveraging sparse and dense features for reliable state estimation in urban environments. - Noha Radwan (2019)

Multimodal interaction-aware motion prediction for autonomous street crossing. - Noha Radwan; Wolfram Burgard; Abhinav Valada (Int. J. Robotics Res., 2020)

NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections. - Ricardo Martin-Brualla; Noha Radwan; Mehdi S. M. Sajjadi; Jonathan T. Barron; Alexey Dosovitskiy; Daniel Duckworth (CVPR, 2021)

Kubric: A scalable dataset generator. - Klaus Greff; Francois Belletti; Lucas Beyer; Carl Doersch; Yilun Du; Daniel Duckworth; David J. Fleet; Dan Gnanapragasam; Florian Golemo; Charles Herrmann; Thomas Kipf; Abhijit Kundu; et al. (CVPR, 2022)

RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. - Michael Niemeyer; Jonathan T. Barron; Ben Mildenhall; Mehdi S. M. Sajjadi; Andreas Geiger 001; Noha Radwan (CVPR, 2022)

Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. - Mehdi S. M. Sajjadi; Henning Meyer; Etienne Pot; Urs Bergmann; Klaus Greff; Noha Radwan; Suhani Vora; Mario Lucic; Daniel Duckworth; Alexey Dosovitskiy; Jakob Uszkoreit; Thomas A. Funkhouser; et al. (CVPR, 2022)

NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes. - Suhani Vora; Noha Radwan; Klaus Greff; Henning Meyer; Kyle Genova; Mehdi S. M. Sajjadi; Etienne Pot; Andrea Tagliasacchi; Daniel Duckworth (Trans. Mach. Learn. Res., 2022)