Kashyap Chitta
Kashyap Chitta
Max Planck Institute for Intelligent Systems, Tübingen
Verified email at - Homepage
Cited by
Cited by
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
Scalable active learning for object detection
E Haussmann, M Fenzi, K Chitta, J Ivanecky, H Xu, D Roy, A Mittel, ...
2020 IEEE intelligent vehicles symposium (iv), 1430-1435, 2020
Projected gans converge faster
A Sauer, K Chitta, J Müller, A Geiger
Advances in Neural Information Processing Systems 34, 17480-17492, 2021
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
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
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
Training Data Subset Search With Ensemble Active Learning
K Chitta, JM Álvarez, E Haussmann, C Farabet
IEEE Transactions on Intelligent Transportation Systems, 2021
Label efficient visual abstractions for autonomous driving
A Behl, K Chitta, A Prakash, E Ohn-Bar, A Geiger
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
Large-scale visual active learning with deep probabilistic ensembles
K Chitta, JM Alvarez, A Lesnikowski
arXiv preprint arXiv:1811.03575, 2018
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
Adaptive semantic segmentation with a strategic curriculum of proxy labels
K Chitta, J Feng, M Hebert
arXiv preprint arXiv:1811.03542, 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
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
K Chitta, A Prakash, B Jaeger, Z Yu, K Renz, A Geiger
arXiv preprint arXiv:2205.15997, 2022
A reduced region of interest based approach for facial expression recognition from static images
K Chitta, NN Sajjan
2016 IEEE Region 10 Conference (TENCON), 2806-2809, 2016
Learning Sampling Policies for Domain Adaptation
Y Patel, K Chitta, B Jasani
arXiv preprint arXiv:1805.07641, 2018
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
N Hanselmann, K Renz, K Chitta, A Bhattacharyya, A Geiger
arXiv preprint arXiv:2204.13683, 2022
Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization
K Chitta, JM Alvarez, A Lesnikowski
NeurIPS Workshop on Bayesian Deep Learning, 2018
Targeted Kernel Networks: Faster Convolutions with Attentive Regularization
K Chitta
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
PlanT: Explainable Planning Transformers via Object-Level Representations
K Renz, K Chitta, OB Mercea, A Koepke, Z Akata, A Geiger
arXiv preprint arXiv:2210.14222, 2022
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