| 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 | 600 | 2021 |
| 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 | 233 | 2018 |
| 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 | 231 | 2018 |
| 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 | 126 | 2022 |
| 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 | 44 | 2020 |
| 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 | 42 | 2022 |
| Topometric localization with deep learning GL Oliveira, N Radwan, W Burgard, T Brox Robotics Research, 505-520, 2020 | 38 | 2020 |
| 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 | 37 | 2022 |
| 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 | 32 | 2021 |
| 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 | 29 | 2016 |
| Incorporating Semantic and Geometric Priors in Deep Pose Regression A Valada, N Radwan, W Burgard | 19* | |
| Perspectives on Deep Multimodel Robot Learning W Burgard, A Valada, N Radwan, T Naseer, J Zhang, J Vertens, O Mees, ... | 10* | |
| 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 | 6 | 2018 |
| Leveraging Sparse and Dense Features for Reliable State Estimation in Urban Environments N Radwan University of Freiburg, Freiburg im Breisgau, Germany, 2019 | 2 | 2019 |
| 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 | | |
Wolfram BurgardProfessor of Computer Science, Technical University of NurembergVerified email at utn.de
