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Kashyap Chitta
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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
5692021
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
2842023
Projected gans converge faster
A Sauer, K Chitta, J Müller, A Geiger
Advances in Neural Information Processing Systems 34, 17480-17492, 2021
2252021
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
2242021
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
2012024
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
1502020
Drivelm: Driving with graph visual question answering
C Sima, K Renz, K Chitta, L Chen, H Zhang, C Xie, J Beißwenger, P Luo, ...
European Conference on Computer Vision, 256-274, 2025
132*2025
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
962022
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
962020
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
952023
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
882020
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
852022
Training Data Subset Search With Ensemble Active Learning
K Chitta, JM Álvarez, E Haussmann, C Farabet
IEEE Transactions on Intelligent Transportation Systems, 2021
71*2021
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
482023
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
462020
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
37*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
272024
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
S Gao, J Yang, L Chen, K Chitta, Y Qiu, A Geiger, J Zhang, H Li
arXiv preprint arXiv:2405.17398, 2024
242024
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
192020
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