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Noha Radwan
Noha Radwan
Inceptive
Verified email at inceptive.team
Title
Cited by
Cited by
Year
Nerf in the wild: Neural radiance fields for unconstrained photo collections
R Martin-Brualla, N Radwan, MSM Sajjadi, JT Barron, A Dosovitskiy, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
4402021
Deep auxiliary learning for visual localization and odometry
A Valada, N Radwan, W Burgard
2018 IEEE International Conference on Robotics and Automation (ICRA), 6939-6946, 2018
2092018
Vlocnet++: Deep multitask learning for semantic visual localization and odometry
N Radwan, A Valada, W Burgard
IEEE Robotics and Automation Letters 3 (4), 4407-4414, 2018
2062018
Regnerf: Regularizing neural radiance fields for view synthesis from sparse inputs
M Niemeyer, JT Barron, B Mildenhall, MSM Sajjadi, A Geiger, N Radwan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
612022
Multimodal interaction-aware motion prediction for autonomous street crossing
N Radwan, W Burgard, A Valada
The International Journal of Robotics Research 39 (13), 1567-1598, 2020
402020
Topometric localization with deep learning
GL Oliveira, N Radwan, W Burgard, T Brox
Robotics Research, 505-520, 2020
372020
Do you see the bakery? leveraging geo-referenced texts for global localization in public maps
N Radwan, GD Tipaldi, L Spinello, W Burgard
2016 IEEE International Conference on Robotics and Automation (ICRA), 4837-4842, 2016
292016
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
MSM Sajjadi, H Meyer, E Pot, U Bergmann, K Greff, N Radwan, S Vora, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
272022
Kubric: A scalable dataset generator
K Greff, F Belletti, L Beyer, C Doersch, Y Du, D Duckworth, DJ Fleet, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
192022
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes
S Vora, N Radwan, K Greff, H Meyer, K Genova, MSM Sajjadi, E Pot, ...
arXiv preprint arXiv:2111.13260, 2021
182021
Incorporating Semantic and Geometric Priors in Deep Pose Regression
A Valada, N Radwan, W Burgard
18*
Perspectives on Deep Multimodel Robot Learning
W Burgard, A Valada, N Radwan, T Naseer, J Zhang, J Vertens, O Mees, ...
8*
Why Did the Robot Cross the Road?-Learning from Multi-Modal Sensor Data for Autonomous Road Crossing
N Radwan, W Winterhalter, C Dornhege, W Burgard
Proc.~ of the IEEE, 0
8*
Effective Interaction-aware Trajectory Prediction using Temporal Convolutional Neural Networks
N Radwan, W Burgard
Proceedings of the Workshop on Crowd Navigation: Current Challenges and New …, 2018
62018
Leveraging Sparse and Dense Features for Reliable State Estimation in Urban Environments
N Radwan
University of Freiburg, Freiburg im Breisgau, Germany, 2019
22019
View Synthesis Robust to Unconstrained Image Data
DC Duckworth, A Dosovitskiy, RM Brualla, JT Barron, NWA Radwan, ...
US Patent App. 17/722,969, 2022
2022
View synthesis robust to unconstrained image data
DC Duckworth, SMM Sajjadi, JT Barron, N Radwan, A Dosovitskiy, ...
US Patent 11,308,659, 2022
2022
Kubric: A scalable dataset generator
A Kundu, A Tagliasacchi, AY Mak, A Stone, C Doersch, C Oztireli, ...
2022
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes
A Tagliasacchi, D Duckworth, E Pot, H Meyer, K Greff, K Genova, ...
2022
Multitask Learning for Reliable State Estimation
N Radwan, W Burgard
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