| Multi-modal fusion transformer for end-to-end autonomous driving A Prakash*, K Chitta*, A Geiger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 524 | 2021 |
| Transfuser: Imitation with transformer-based sensor fusion for autonomous driving K Chitta, A Prakash, B Jaeger, Z Yu, K Renz, A Geiger IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 242 | 2023 |
| Projected gans converge faster A Sauer, K Chitta, J Müller, A Geiger Advances in Neural Information Processing Systems 34, 17480-17492, 2021 | 212 | 2021 |
| Neat: Neural attention fields for end-to-end autonomous driving K Chitta*, A Prakash*, A Geiger Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 204 | 2021 |
| End-to-end autonomous driving: Challenges and frontiers L Chen, P Wu, K Chitta, B Jaeger, A Geiger, H Li IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 146 | 2024 |
| Scalable active learning for object detection E Haussmann, M Fenzi, K Chitta, J Ivanecky, H Xu, D Roy, A Mittel, ... Proceedings of the IEEE Intelligent Vehicles Symposium, 1430-1435, 2020 | 142 | 2020 |
| Drivelm: Driving with graph visual question answering C Sima, K Renz, K Chitta, L Chen, H Zhang, C Xie, P Luo, A Geiger, H Li arXiv preprint arXiv:2312.14150, 2023 | 98* | 2023 |
| Exploring data aggregation in policy learning for vision-based urban autonomous driving A Prakash, A Behl, E Ohn-Bar, K Chitta, A Geiger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 90 | 2020 |
| Learning situational driving E Ohn-Bar, A Prakash, A Behl, K Chitta, A Geiger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 85 | 2020 |
| Plant: Explainable planning transformers via object-level representations K Renz, K Chitta, OB Mercea, A Koepke, Z Akata, A Geiger Proceedings of the Conference on Robot Learning, 2022 | 82 | 2022 |
| King: Generating safety-critical driving scenarios for robust imitation via kinematics gradients N Hanselmann, K Renz, K Chitta, A Bhattacharyya, A Geiger European Conference on Computer Vision, 335-352, 2022 | 77 | 2022 |
| Parting with Misconceptions about Learning-based Vehicle Motion Planning D Dauner, M Hallgarten, A Geiger, K Chitta Proceedings of the Conference on Robot Learning, 2023 | 66 | 2023 |
| Training Data Subset Search With Ensemble Active Learning K Chitta, JM Álvarez, E Haussmann, C Farabet IEEE Transactions on Intelligent Transportation Systems, 2021 | 66* | 2021 |
| Label efficient visual abstractions for autonomous driving A Behl*, K Chitta*, A Prakash, E Ohn-Bar, A Geiger Proceedings of the IEEE/RSJ International Conference on Intelligent Robots …, 2020 | 44 | 2020 |
| Hidden Biases of End-to-End Driving Models B Jaeger, K Chitta, A Geiger Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023 | 42 | 2023 |
| Benchmarking Unsupervised Object Representations for Video Sequences MA Weis, K Chitta, Y Sharma, W Brendel, M Bethge, A Geiger, AS Ecker Journal of Machine Learning Research 22 (183), 1-61, 2021 | 39* | 2021 |
| Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization K Chitta, JM Alvarez, A Lesnikowski NeurIPS Workshop on Bayesian Deep Learning, 2018 | 35* | 2018 |
| Quadtree generating networks: Efficient hierarchical scene parsing with sparse convolutions K Chitta, JM Alvarez, M Hebert Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2020 | 18 | 2020 |
| Adaptive semantic segmentation with a strategic curriculum of proxy labels K Chitta, J Feng, M Hebert arXiv preprint arXiv:1811.03542, 2018 | 15 | 2018 |
| Generalized predictive model for autonomous driving J Yang, S Gao, Y Qiu, L Chen, T Li, B Dai, K Chitta, P Wu, J Zeng, P Luo, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 10 | 2024 |
Andreas GeigerProfessor of Computer Science, University of Tübingen and Tübingen AI CenterVerified email at uni-tuebingen.de
