Kashyap Chitta

57 papers A* 9A 2C 1Misc 2Journal 38Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Agility Meets Stability: Versatile Humanoid Control with Heterogeneous Data. CoRR Yixuan Pan, Ruoyi Qiao, Li Chen, Kashyap Chitta, Liang Pan, Haoguang Mai, Qingwen Bu, Hao Zhao, Cunyuan Zheng, Ping Luo, Hongyang Li
2025	J	`jnl`	CaRL: Learning Scalable Planning Policies with Simple Rewards. CoRR Bernhard Jaeger, Daniel Dauner, Jens Beißwenger, Simon Gerstenecker, Kashyap Chitta, Andreas Geiger
2025	J	`jnl`	Centaur: Robust End-to-End Autonomous Driving with Test-Time Training. CoRR Chonghao Sima, Kashyap Chitta, Zhiding Yu, Shiyi Lan, Ping Luo, Andreas Geiger, Hongyang Li, José M. Álvarez
2025	J	`jnl`	LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving. CoRR Long Nguyen, Micha Fauth, Bernhard Jaeger, Daniel Dauner, Maximilian Igl, Andreas Geiger, Kashyap Chitta
2025	J	`jnl`	Latent Chain-of-Thought World Modeling for End-to-End Driving. CoRR Shuhan Tan, Kashyap Chitta, Yuxiao Chen, Ran Tian, Yurong You, Yan Wang, Wenjie Luo, Yulong Cao, Philipp Krähenbühl, Marco Pavone, Boris Ivanovic
2025	J	`jnl`	Optimization-Guided Diffusion for Interactive Scene Generation. CoRR Shihao Li, Naisheng Ye, Tianyu Li, Kashyap Chitta, Tuo An, Peng Su, Boyang Wang, Haiou Liu, Chen Lv, Hongyang Li
2025	J	`jnl`	Pseudo-Simulation for Autonomous Driving. CoRR 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
2025	J	`jnl`	ReSim: Reliable World Simulation for Autonomous Driving. CoRR Jiazhi Yang, Kashyap Chitta, Shenyuan Gao, Long Chen, Yuqian Shao, Xiaosong Jia, Hongyang Li, Andreas Geiger, Xiangyu Yue, Li Chen
2024	—	`conf`	DriveLM: Driving with Graph Visual Question Answering. ECCV (52) Chonghao Sima, Katrin Renz, Kashyap Chitta, Li Chen, Hanxue Zhang, Chengen Xie, Jens Beißwenger, Ping Luo, Andreas Geiger, Hongyang Li
2024	J	`jnl`	End-to-End Autonomous Driving: Challenges and Frontiers. IEEE Trans. Pattern Anal. Mach. Intell. Li Chen, Penghao Wu, Kashyap Chitta, Bernhard Jaeger, Andreas Geiger, Hongyang Li
2024	A*	`conf`	Generalized Predictive Model for Autonomous Driving. CVPR 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
2024	J	`jnl`	Generalized Predictive Model for Autonomous Driving. CoRR 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
2024	J	`jnl`	Hidden Biases of End-to-End Driving Datasets. CoRR Julian Zimmerlin, Jens Beißwenger, Bernhard Jaeger, Andreas Geiger, Kashyap Chitta
2024	A*	`conf`	NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking. NeurIPS Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta
2024	J	`jnl`	NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking. CoRR Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta
2024	—	`conf`	SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic. ECCV (4) Kashyap Chitta, Daniel Dauner, Andreas Geiger
2024	J	`jnl`	SLEDGE: Synthesizing Simulation Environments for Driving Agents with Generative Models. CoRR Kashyap Chitta, Daniel Dauner, Andreas Geiger
2024	A*	`conf`	Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability. NeurIPS Shenyuan Gao, Jiazhi Yang, Li Chen, Kashyap Chitta, Yihang Qiu, Andreas Geiger, Jun Zhang, Hongyang Li
2024	J	`jnl`	Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability. CoRR Shenyuan Gao, Jiazhi Yang, Li Chen, Kashyap Chitta, Yihang Qiu, Andreas Geiger, Jun Zhang, Hongyang Li
2023	J	`jnl`	DriveLM: Driving with Graph Visual Question Answering. CoRR Chonghao Sima, Katrin Renz, Kashyap Chitta, Li Chen, Hanxue Zhang, Chengen Xie, Ping Luo, Andreas Geiger, Hongyang Li
2023	J	`jnl`	End-to-end Autonomous Driving: Challenges and Frontiers. CoRR Li Chen, Penghao Wu, Kashyap Chitta, Bernhard Jaeger, Andreas Geiger, Hongyang Li
2023	A*	`conf`	Hidden Biases of End-to-End Driving Models. ICCV Bernhard Jaeger, Kashyap Chitta, Andreas Geiger
2023	J	`jnl`	Hidden Biases of End-to-End Driving Models. CoRR Bernhard Jaeger, Kashyap Chitta, Andreas Geiger
2023	—	`conf`	On Offline Evaluation of 3D Object Detection for Autonomous Driving. ICCV (Workshops) Tim Schreier, Katrin Renz, Andreas Geiger, Kashyap Chitta
2023	J	`jnl`	On Offline Evaluation of 3D Object Detection for Autonomous Driving. CoRR Tim Schreier, Katrin Renz, Andreas Geiger, Kashyap Chitta
2023	Misc	`conf`	Parting with Misconceptions about Learning-based Vehicle Motion Planning. CoRL Daniel Dauner, Marcel Hallgarten, Andreas Geiger, Kashyap Chitta
2023	J	`jnl`	Parting with Misconceptions about Learning-based Vehicle Motion Planning. CoRR Daniel Dauner, Marcel Hallgarten, Andreas Geiger, Kashyap Chitta
2023	J	`jnl`	TransFuser: Imitation With Transformer-Based Sensor Fusion for Autonomous Driving. IEEE Trans. Pattern Anal. Mach. Intell. Kashyap Chitta, Aditya Prakash, Bernhard Jaeger, Zehao Yu, Katrin Renz, Andreas Geiger
2022	—	`conf`	KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients. ECCV (38) Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger
2022	J	`jnl`	KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients. CoRR Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger
2022	Misc	`conf`	PlanT: Explainable Planning Transformers via Object-Level Representations. CoRL Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger
2022	J	`jnl`	PlanT: Explainable Planning Transformers via Object-Level Representations. CoRR Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger
2022	J	`jnl`	Training Data Subset Search With Ensemble Active Learning. IEEE Trans. Intell. Transp. Syst. Kashyap Chitta, José M. Álvarez, Elmar Haussmann, Clément Farabet
2022	J	`jnl`	TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving. CoRR Kashyap Chitta, Aditya Prakash, Bernhard Jaeger, Zehao Yu, Katrin Renz, Andreas Geiger
2021	J	`jnl`	Benchmarking Unsupervised Object Representations for Video Sequences. J. Mach. Learn. Res. Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker
2021	A*	`conf`	Multi-Modal Fusion Transformer for End-to-End Autonomous Driving. CVPR Aditya Prakash, Kashyap Chitta, Andreas Geiger
2021	J	`jnl`	Multi-Modal Fusion Transformer for End-to-End Autonomous Driving. CoRR Aditya Prakash, Kashyap Chitta, Andreas Geiger
2021	A*	`conf`	NEAT: Neural Attention Fields for End-to-End Autonomous Driving. ICCV Kashyap Chitta, Aditya Prakash, Andreas Geiger
2021	J	`jnl`	NEAT: Neural Attention Fields for End-to-End Autonomous Driving. CoRR Kashyap Chitta, Aditya Prakash, Andreas Geiger
2021	A*	`conf`	Projected GANs Converge Faster. NeurIPS Axel Sauer, Kashyap Chitta, Jens Müller, Andreas Geiger
2021	J	`jnl`	Projected GANs Converge Faster. CoRR Axel Sauer, Kashyap Chitta, Jens Müller, Andreas Geiger
2020	A*	`conf`	Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving. CVPR Aditya Prakash, Aseem Behl, Eshed Ohn-Bar, Kashyap Chitta, Andreas Geiger
2020	A	`conf`	Label Efficient Visual Abstractions for Autonomous Driving. IROS Aseem Behl, Kashyap Chitta, Aditya Prakash, Eshed Ohn-Bar, Andreas Geiger
2020	J	`jnl`	Label Efficient Visual Abstractions for Autonomous Driving. CoRR Aseem Behl, Kashyap Chitta, Aditya Prakash, Eshed Ohn-Bar, Andreas Geiger
2020	A*	`conf`	Learning Situational Driving. CVPR Eshed Ohn-Bar, Aditya Prakash, Aseem Behl, Kashyap Chitta, Andreas Geiger
2020	A	`conf`	Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions. WACV Kashyap Chitta, José M. Álvarez, Martial Hebert
2020	C	`conf`	Scalable Active Learning for Object Detection. IV Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, José M. Álvarez
2020	J	`jnl`	Scalable Active Learning for Object Detection. CoRR Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, José M. Álvarez
2020	J	`jnl`	Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences. CoRR Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker
2019	J	`jnl`	Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling. CoRR Kashyap Chitta, José M. Álvarez, Elmar Haussmann, Clément Farabet
2019	J	`jnl`	Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions. CoRR Kashyap Chitta, José M. Álvarez, Martial Hebert
2018	J	`jnl`	Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy Labels. CoRR Kashyap Chitta, Jianwei Feng, Martial Hebert
2018	J	`jnl`	Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization. CoRR Kashyap Chitta, José M. Álvarez, Adam Lesnikowski
2018	J	`jnl`	Large-Scale Visual Active Learning with Deep Probabilistic Ensembles. CoRR Kashyap Chitta, José M. Álvarez, Adam Lesnikowski
2018	J	`jnl`	Learning Sampling Policies for Domain Adaptation. CoRR Yash Patel, Kashyap Chitta, Bhavan Jasani
2018	—	`conf`	Targeted Kernel Networks: Faster Convolutions with Attentive Regularization. ECCV Workshops (4) Kashyap Chitta
2018	J	`jnl`	Targeted Kernel Networks: Faster Convolutions with Attentive Regularization. CoRR Kashyap Chitta