Kashyap Chitta

According to our database, Kashyap Chitta authored at least 27 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Kashyap Chitta, Daniel Dauner, Andreas Geiger

CoRR, 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

CoRR, 2024

2023

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

Kashyap Chitta, Aditya Prakash, Bernhard Jaeger, Zehao Yu, Katrin Renz, Andreas Geiger

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

DriveLM: Driving with Graph Visual Question Answering.

Chonghao Sima, Katrin Renz, Kashyap Chitta, Li Chen, Hanxue Zhang, Chengen Xie, Ping Luo, Andreas Geiger, Hongyang Li

CoRR, 2023

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

Li Chen, Penghao Wu, Kashyap Chitta, Bernhard Jaeger, Andreas Geiger, Hongyang Li

CoRR, 2023

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

Tim Schreier, Katrin Renz, Andreas Geiger, Kashyap Chitta

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

Hidden Biases of End-to-End Driving Models.

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.

Daniel Dauner, Marcel Hallgarten, Andreas Geiger, Kashyap Chitta

Proceedings of the Conference on Robot Learning, 2023

2022

Training Data Subset Search With Ensemble Active Learning.

Kashyap Chitta, José M. Álvarez, Elmar Haussmann, Clément Farabet

IEEE Trans. Intell. Transp. Syst., 2022

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

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.

Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger

Proceedings of the Conference on Robot Learning, 2022

2021

Benchmarking Unsupervised Object Representations for Video Sequences.

Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker

J. Mach. Learn. Res., 2021

Projected GANs Converge Faster.

Axel Sauer, Kashyap Chitta, Jens Müller, Andreas Geiger

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.

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.

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.

Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker

CoRR, 2020

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

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.

Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, José M. Álvarez

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Label Efficient Visual Abstractions for Autonomous Driving.

Aseem Behl, Kashyap Chitta, Aditya Prakash, Eshed Ohn-Bar, Andreas Geiger

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.

Aditya Prakash, Aseem Behl, Eshed Ohn-Bar, Kashyap Chitta, Andreas Geiger

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

Learning Situational Driving.

Eshed Ohn-Bar, Aditya Prakash, Aseem Behl, Kashyap Chitta, Andreas Geiger

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.

Kashyap Chitta, José M. Álvarez, Elmar Haussmann, Clément Farabet

CoRR, 2019

2018

Large-Scale Visual Active Learning with Deep Probabilistic Ensembles.

Kashyap Chitta, José M. Álvarez, Adam Lesnikowski

CoRR, 2018

Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy Labels.

Kashyap Chitta, Jianwei Feng, Martial Hebert

CoRR, 2018

Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization.

Kashyap Chitta, José M. Álvarez, Adam Lesnikowski

CoRR, 2018

Learning Sampling Policies for Domain Adaptation.

Yash Patel, Kashyap Chitta, Bhavan Jasani

CoRR, 2018

Targeted Kernel Networks: Faster Convolutions with Attentive Regularization.

Kashyap Chitta

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018