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ORCIDNoha Radwan
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2020 – today
- 2022
[j3]Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth:
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes. Trans. Mach. Learn. Res. 2022 (2022)- [c9]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, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi:
Kubric: A scalable dataset generator. CVPR 2022: 3739-3751 - [c8]Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan:
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. CVPR 2022: 5470-5480 - [c7]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, Andrea Tagliasacchi:
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. CVPR 2022: 6219-6228 - [i10]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, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi:
Kubric: A scalable dataset generator. CoRR abs/2203.03570 (2022) - 2021
- [c6]Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, Daniel Duckworth:
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections. CVPR 2021: 7210-7219 - [i9]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, Andrea Tagliasacchi:
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. CoRR abs/2111.13152 (2021) - [i8]Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth:
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes. CoRR abs/2111.13260 (2021) - [i7]Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan:
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. CoRR abs/2112.00724 (2021) - 2020
- [j2]Noha Radwan
, Wolfram Burgard, Abhinav Valada:
Multimodal interaction-aware motion prediction for autonomous street crossing. Int. J. Robotics Res. 39(13) (2020) - [i6]Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, Daniel Duckworth:
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections. CoRR abs/2008.02268 (2020)
2010 – 2019
- 2019
- [b1]Noha Radwan:
Leveraging sparse and dense features for reliable state estimation in urban environments. University of Freiburg, Freiburg im Breisgau, Germany, 2019 - 2018
- [j1]Noha Radwan, Abhinav Valada, Wolfram Burgard:
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry. IEEE Robotics Autom. Lett. 3(4): 4407-4414 (2018) - [c5]Abhinav Valada, Noha Radwan, Wolfram Burgard:
Deep Auxiliary Learning for Visual Localization and Odometry. ICRA 2018: 6939-6946 - [i5]Abhinav Valada, Noha Radwan, Wolfram Burgard:
Deep Auxiliary Learning for Visual Localization and Odometry. CoRR abs/1803.03642 (2018) - [i4]Noha Radwan, Abhinav Valada, Wolfram Burgard:
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry. CoRR abs/1804.08366 (2018) - [i3]Noha Radwan, Abhinav Valada, Wolfram Burgard:
Multimodal Interaction-aware Motion Prediction for Autonomous Street Crossing. CoRR abs/1808.06887 (2018) - 2017
- [c4]Noha Radwan, Wera Winterhalter, Christian Dornhege, Wolfram Burgard:
Why did the robot cross the road? - Learning from multi-modal sensor data for autonomous road crossing. IROS 2017: 4737-4742 - [c3]Wolfram Burgard, Abhinav Valada, Noha Radwan, Tayyab Naseer, Jingwei Zhang, Johan Vertens, Oier Mees, Andreas Eitel, Gabriel L. Oliveira:
Perspectives on Deep Multimodel Robot Learning. ISRR 2017: 17-24 - [c2]Gabriel L. Oliveira, Noha Radwan, Wolfram Burgard, Thomas Brox:
Topometric Localization with Deep Learning. ISRR 2017: 505-520 - [i2]Gabriel L. Oliveira, Noha Radwan, Wolfram Burgard, Thomas Brox:
Topometric Localization with Deep Learning. CoRR abs/1706.08775 (2017) - [i1]Noha Radwan, Wera Winterhalter, Christian Dornhege, Wolfram Burgard:
Why did the Robot Cross the Road? - Learning from Multi-Modal Sensor Data for Autonomous Road Crossing. CoRR abs/1709.06039 (2017) - 2016
- [c1]Noha Radwan, Gian Diego Tipaldi, Luciano Spinello, Wolfram Burgard:
Do you see the bakery? Leveraging geo-referenced texts for global localization in public maps. ICRA 2016: 4837-4842
Coauthor Index
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