I am a PhD student at the University of Tübingen, Germany, where I am part of the Autonomous Vision Group led by Prof. Andreas Geiger.
News: I was selected for the doctoral consortium at ICCV 2023, as a 2023 RSS pioneer, and a top reviewer for CVPR, ICCV, and NeurIPS 2023. Our team also won the nuPlan challenge!
Workshops: I am co organizing the CVPR 2024 Workshop on Foundation Models for Autonomous Systems and RSS 2024 Pioneers Workshop. We have exciting speaker lineups and panel discussions planned for both. The CVPR workshop will host the 2024 edition of the Autonomous Grand Challenge with several new tracks!
Research: I am excited about data-driven solutions to complex decision-making tasks. Currently, my research focuses on self-driving vehicles. Specifically, I am interested in vehicle motion planning. Further, I am big fan of simulation, and am interested in building data-driven simulators for autonomous driving and robotics. Representative papers are highlighted below.
Bio: Kashyap did a bachelor's degree in electronics at the RV College of Engineering, India. He then moved to the US in 2017 to obtain his Master's degree in computer vision from Carnegie Mellon University, where he was advised by Prof. Martial Hebert. During this time, he was also an intern at NVIDIA working with Dr. Jose M. Alvarez. He is currently a PhD student in the Autonomous Vision Group at the University of Tübingen, Germany, supervised by Prof. Andreas Geiger.
@inproceedings{Yang2024CVPR,
author = {Jiazhi Yang and Shenyuan Gao and Yihang Qiu and Li Chen and Tianyu Li and Bo Dai and Kashyap Chitta and Penghao Wu and Jia Zeng and Ping Luo and Jun Zhang and Andreas Geiger and Yu Qiao and Hongyang Li},
title = {Generalized Predictive Model for Autonomous Driving},
booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2024},
}
@inproceedings{Dauner2023CORL,
author = {Daniel Dauner and Marcel Hallgarten and Andreas Geiger and Kashyap Chitta},
title = {Parting with Misconceptions about Learning-based Vehicle Motion Planning},
booktitle = {Conference on Robot Learning (CoRL)},
year = {2023},
}
@inproceedings{Jaeger2023ICCV,
author = {Bernhard Jaeger and Kashyap Chitta and Andreas Geiger},
title = {Hidden Biases of End-to-End Driving Models},
booktitle = {International Conference on Computer Vision (ICCV)},
year = {2023},
}
@article{Chitta2023PAMI,
author = {Kashyap Chitta and Aditya Prakash and Bernhard Jaeger and Zehao Yu and Katrin Renz and Andreas Geiger},
title = {TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving},
booktitle = {Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)},
year = {2023},
}
@inproceedings{Renz2022CORL,
author = {Katrin Renz and Kashyap Chitta and Otniel-Bogdan Mercea and Sophia Koepke and Zeynep Akata and Andreas Geiger},
title = {PlanT: Explainable Planning Transformers via Object-Level Representations},
booktitle = {Conference on Robot Learning (CoRL)},
year = {2022},
}
@inproceedings{Hanselmann2022ECCV,
author = {Niklas Hanselmann and Katrin Renz and Kashyap Chitta and Apratim Bhattacharyya and Andreas Geiger},
title = {KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2022},
}
@article{Chitta2021ITS,
author = {Kashyap Chitta and Jose Alvarez and Elmar Haussmann and Clement Farabet},
title = {Training Data Subset Search with Ensemble Active Learning},
booktitle = {Transactions on Intelligent Transportation Systems (T-ITS)},
year = {2021},
}
@inproceedings{Sauer2021NEURIPS,
author = {Axel Sauer and Kashyap Chitta and Jens Muller and Andreas Geiger},
title = {Projected GANs Converge Faster},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
year = {2021},
}
@article{Weis2021JMLR,
author = {Marissa Weis and Kashyap Chitta and Yash Sharma and Wieland Brendel and Matthias Bethge and Andreas Geiger and Alexander Ecker},
title = {Benchmarking Unsupervised Object Representations for Video Sequences},
booktitle = {Journal of Machine Learning Research (JMLR)},
year = {2021},
}
@inproceedings{Chitta2021ICCV,
author = {Kashyap Chitta and Aditya Prakash and Andreas Geiger},
title = {NEAT: Neural Attention Fields for End-to-End Autonomous Driving},
booktitle = {International Conference on Computer Vision (ICCV)},
year = {2021},
}
@inproceedings{Prakash2021CVPR,
author = {Aditya Prakash and Kashyap Chitta and Andreas Geiger},
title = {Multi-Modal Fusion Transformer for End-to-End Autonomous Driving},
booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2021},
}
@inproceedings{Behl2020IROS,
author = {Aseem Behl and Kashyap Chitta and Aditya Prakash and Eshed Ohn-Bar and Andreas Geiger},
title = {Label Efficient Visual Abstractions for Autonomous Driving},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
year = {2020},
}
@inproceedings{Haussmann2020IV,
author = {Elmar Haussmann and Michele Fenzi and Kashyap Chitta and Jan Ivanecky and Hanson Xu and Donna Roy and Akshita Mittel and Nicolas Koumchatzky and Clement Farabet and Jose Alvarez},
title = {Scalable Active Learning for Object Detection},
booktitle = {Intelligent Vehicles Symposium (IV)},
year = {2020},
}
@inproceedings{Ohn-bar2020CVPR,
author = {Eshed Ohn-Bar and Aditya Prakash and Aseem Behl and Kashyap Chitta and Andreas Geiger},
title = {Learning Situational Driving},
booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2020},
}
@inproceedings{Prakash2020CVPR,
author = {Aditya Prakash and Aseem Behl and Eshed Ohn-Bar and Kashyap Chitta and Andreas Geiger},
title = {Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving},
booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2020},
}
@inproceedings{Chitta2020WACV,
author = {Kashyap Chitta and Jose Alvarez and Martial Hebert},
title = {Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions},
booktitle = {Winter Conference on Applications of Computer Vision (WACV)},
year = {2020},
}
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