Ben Agro

According to our database, Ben Agro authored at least 9 papers between 2021 and 2025.

Collaborative distances:

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

2025

DIO: Decomposable Implicit 4D Occupancy-Flow World Model.

Christopher Diehl, Quinlan Sykora, Ben Agro, Thomas Gilles, Sergio Casas, Raquel Urtasun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MAD: Memory-Augmented Detection of 3D Objects.

Ben Agro, Sergio Casas, Patrick Wang, Thomas Gilles, Raquel Urtasun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Toward Globally Optimal State Estimation Using Automatically Tightened Semidefinite Relaxations.

Frederike Dümbgen, Connor Holmes, Ben Agro, Timothy D. Barfoot

IEEE Trans. Robotics, 2024

QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving.

Sourav Biswas, Sergio Casas, Quinlan Sykora, Ben Agro, Abbas Sadat, Raquel Urtasun

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

DeTra: A Unified Model for Object Detection and Trajectory Forecasting.

Sergio Casas, Ben Agro, Jiageng Mao, Thomas Gilles, Alexander Cui, Thomas Li, Raquel Urtasun

Proceedings of the Computer Vision - ECCV 2024, 2024

UnO: Unsupervised Occupancy Fields for Perception and Forecasting.

Ben Agro, Quinlan Sykora, Sergio Casas, Thomas Gilles, Raquel Urtasun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Learning to Search in Task and Motion Planning With Streams.

Mohamed Khodeir, Ben Agro, Florian Shkurti

IEEE Robotics Autom. Lett., April, 2023

Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving.

Ben Agro, Quinlan Sykora, Sergio Casas, Raquel Urtasun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Self-Supervised Learning of Lidar Segmentation for Autonomous Indoor Navigation.

Hugues Thomas, Ben Agro, Mona Gridseth, Jian Zhang, Timothy D. Barfoot

Proceedings of the IEEE International Conference on Robotics and Automation, 2021