Karkus, Peter

10 publications

CVPR 2025 Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models Zhejun Zhang, Peter Karkus, Maximilian Igl, Wenhao Ding, Yuxiao Chen, Boris Ivanovic, Marco Pavone

ICLR 2025 STORM: Spatio-TempOral Reconstruction Model for Large-Scale Outdoor Scenes Jiawei Yang, Jiahui Huang, Boris Ivanovic, Yuxiao Chen, Yan Wang, Boyi Li, Yurong You, Apoorva Sharma, Maximilian Igl, Peter Karkus, Danfei Xu, Yue Wang, Marco Pavone

NeurIPS 2024 DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features Letian Wang, Seung Wook Kim, Jiawei Yang, Cunjun Yu, Boris Ivanovic, Steven Waslander, Yue Wang, Sanja Fidler, Marco Pavone, Peter Karkus

CoRL 2022 DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles Peter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone

NeurIPSW 2022 Foundation Models for Semantic Novelty in Reinforcement Learning Tarun Gupta, Peter Karkus, Tong Che, Danfei Xu, Marco Pavone

CVPR 2021 Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation Peter Karkus, Shaojun Cai, David Hsu

ICLR 2020 Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations Xiao Ma, Peter Karkus, David Hsu, Wee Sun Lee, Nan Ye

AAAI 2020 Particle Filter Recurrent Neural Networks Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee

CoRL 2018 Particle Filter Networks with Application to Visual Localization Péter Karkus, David Hsu, Wee Sun Lee

NeurIPS 2017 QMDP-Net: Deep Learning for Planning Under Partial Observability Peter Karkus, David Hsu, Wee Sun Lee