Self-supervised learning of lidar segmentation for autonomous indoor navigation H Thomas, B Agro, M Gridseth, J Zhang, TD Barfoot 2021 IEEE International Conference on Robotics and Automation (ICRA), 14047 …, 2021 | 27 | 2021 |
Learning to search in task and motion planning with streams M Khodeir, B Agro, F Shkurti IEEE Robotics and Automation Letters 8 (4), 1983-1990, 2023 | 19 | 2023 |
Implicit occupancy flow fields for perception and prediction in self-driving B Agro, Q Sykora, S Casas, R Urtasun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 18 | 2023 |
Toward globally optimal state estimation using automatically tightened semidefinite relaxations F Dümbgen, C Holmes, B Agro, TD Barfoot arXiv preprint arXiv:2308.05783, 2023 | 9 | 2023 |
QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving S Biswas, S Casas, Q Sykora, B Agro, A Sadat, R Urtasun arXiv preprint arXiv:2404.01486, 2024 | 1 | 2024 |
DeTra: A Unified Model for Object Detection and Trajectory Forecasting S Casas, B Agro, J Mao, T Gilles, A Cui, T Li, R Urtasun arXiv preprint arXiv:2406.04426, 2024 | | 2024 |
Zero-Shot Video Retrieval With Vision-Language Models B Agro | | 2024 |
UnO: Unsupervised Occupancy Fields for Perception and Forecasting B Agro, Q Sykora, S Casas, T Gilles, R Urtasun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Project Report: Transformers As Statisticians B Agro | | |
Towards Global Optimality in Stereo Localization B Agro | | |