Chitta, Kashyap

19 publications

CoRL 2025 CaRL: Learning Scalable Planning Policies with Simple Rewards Bernhard Jaeger, Daniel Dauner, Jens Beißwenger, Simon Gerstenecker, Kashyap Chitta, Andreas Geiger

CoRL 2025 Pseudo-Simulation for Autonomous Driving Wei Cao, Marcel Hallgarten, Tianyu Li, Daniel Dauner, Xunjiang Gu, Caojun Wang, Yakov Miron, Marco Aiello, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta

NeurIPS 2025 ReSim: Reliable World Simulation for Autonomous Driving Jiazhi Yang, Kashyap Chitta, Shenyuan Gao, Long Chen, Yuqian Shao, Xiaosong Jia, Hongyang Li, Andreas Geiger, Xiangyu Yue, Li Chen

ECCV 2024 DriveLM: Driving with Graph Visual Question Answering Chonghao Sima, Katrin Renz, Kashyap Chitta, Li Chen, Zhang Hanxue, Chengen Xie, Jens Beißwenger, Ping Luo, Andreas Geiger, Hongyang Li

CVPR 2024 Generalized Predictive Model for Autonomous Driving Jiazhi Yang, Shenyuan Gao, Yihang Qiu, Li Chen, Tianyu Li, Bo Dai, Kashyap Chitta, Penghao Wu, Jia Zeng, Ping Luo, Jun Zhang, Andreas Geiger, Yu Qiao, Hongyang Li

NeurIPS 2024 NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta

ECCV 2024 SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic Kashyap Chitta, Daniel Dauner, Andreas Geiger

NeurIPS 2024 Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability Shenyuan Gao, Jiazhi Yang, Li Chen, Kashyap Chitta, Yihang Qiu, Andreas Geiger, Jun Zhang, Hongyang Li

ICCV 2023 Hidden Biases of End-to-End Driving Models Bernhard Jaeger, Kashyap Chitta, Andreas Geiger

ICCVW 2023 On Offline Evaluation of 3D Object Detection for Autonomous Driving Tim Schreier, Katrin Renz, Andreas Geiger, Kashyap Chitta

CoRL 2023 Parting with Misconceptions About Learning-Based Vehicle Motion Planning Daniel Dauner, Marcel Hallgarten, Andreas Geiger, Kashyap Chitta

ECCV 2022 KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger

CoRL 2022 PlanT: Explainable Planning Transformers via Object-Level Representations Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger

JMLR 2021 Benchmarking Unsupervised Object Representations for Video Sequences Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker

CVPR 2021 Multi-Modal Fusion Transformer for End-to-End Autonomous Driving Aditya Prakash, Kashyap Chitta, Andreas Geiger

ICCV 2021 NEAT: Neural Attention Fields for End-to-End Autonomous Driving Kashyap Chitta, Aditya Prakash, Andreas Geiger

NeurIPS 2021 Projected GANs Converge Faster Axel Sauer, Kashyap Chitta, Jens Müller, Andreas Geiger

WACV 2020 Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions Kashyap Chitta, Jose M. Alvarez, Martial Hebert

ECCVW 2018 Targeted Kernel Networks: Faster Convolutions with Attentive Regularization Kashyap Chitta