Kashyap Chitta

Orcid: 0000-0002-3891-3230

Affiliations:

University of Tübingen, Autonomous Vision Group, Germany
Max Planck Institute for Intelligent Systems, Tübingen, Germany

According to our database¹, Kashyap Chitta authored at least 32 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Bibliography

2024

End-to-End Autonomous Driving: Challenges and Frontiers.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Hidden Biases of End-to-End Driving Datasets.

[BibT_eX]

[DOI]

CoRR, 2024

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking.

[BibT_eX]

[DOI]

CoRR, 2024

Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability.

[BibT_eX]

[DOI]

CoRR, 2024

SLEDGE: Synthesizing Simulation Environments for Driving Agents with Generative Models.

[BibT_eX]

[DOI]

Kashyap Chitta

Daniel Dauner

Andreas Geiger

CoRR, 2024

DriveLM: Driving with Graph Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic.

[BibT_eX]

[DOI]

Kashyap Chitta

Daniel Dauner

Andreas Geiger

Proceedings of the Computer Vision - ECCV 2024, 2024

Generalized Predictive Model for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

TransFuser: Imitation With Transformer-Based Sensor Fusion for Autonomous Driving.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

DriveLM: Driving with Graph Visual Question Answering.

[BibT_eX]

[DOI]

CoRR, 2023

On Offline Evaluation of 3D Object Detection for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Hidden Biases of End-to-End Driving Models.

[BibT_eX]

[DOI]

Bernhard Jaeger

Kashyap Chitta

Andreas Geiger

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Parting with Misconceptions about Learning-based Vehicle Motion Planning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

2022

Training Data Subset Search With Ensemble Active Learning.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients.

[BibT_eX]

[DOI]

Niklas Hanselmann

Katrin Renz

Kashyap Chitta

Apratim Bhattacharyya

Andreas Geiger

Proceedings of the Computer Vision - ECCV 2022, 2022

PlanT: Explainable Planning Transformers via Object-Level Representations.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

Benchmarking Unsupervised Object Representations for Video Sequences.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

Projected GANs Converge Faster.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

NEAT: Neural Attention Fields for End-to-End Autonomous Driving.

[BibT_eX]

[DOI]

Kashyap Chitta

Aditya Prakash

Andreas Geiger

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Multi-Modal Fusion Transformer for End-to-End Autonomous Driving.

[BibT_eX]

[DOI]

Aditya Prakash

Kashyap Chitta

Andreas Geiger

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences.

[BibT_eX]

[DOI]

CoRR, 2020

Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions.

[BibT_eX]

[DOI]

Kashyap Chitta

José M. Álvarez

Martial Hebert

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Scalable Active Learning for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Label Efficient Visual Abstractions for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Situational Driving.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Large-Scale Visual Active Learning with Deep Probabilistic Ensembles.

[BibT_eX]

[DOI]

Kashyap Chitta

José M. Álvarez

Adam Lesnikowski

CoRR, 2018

Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy Labels.

[BibT_eX]

[DOI]

Kashyap Chitta

Jianwei Feng

Martial Hebert

CoRR, 2018

Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization.

[BibT_eX]

[DOI]

Kashyap Chitta

José M. Álvarez

Adam Lesnikowski

CoRR, 2018

Learning Sampling Policies for Domain Adaptation.

[BibT_eX]

[DOI]

Yash Patel

Kashyap Chitta

Bhavan Jasani

CoRR, 2018

Targeted Kernel Networks: Faster Convolutions with Attentive Regularization.

[BibT_eX]

[DOI]

Kashyap Chitta

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Kashyap Chitta

Timeline

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