Sean Segal

According to our database, Sean Segal authored at least 7 papers between 2019 and 2023.

Collaborative distances:

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

2023

LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds.

Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun

Proceedings of the Conference on Robot Learning, 2023

2021

Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes.

Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun

CoRR, 2021

Diverse Complexity Measures for Dataset Curation in Self-Driving.

Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes.

Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

End-to-end Contextual Perception and Prediction with Interaction Transformer.

Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs.

Sean Segal, Eric Kee, Wenjie Luo, Abbas Sadat, Ersin Yumer, Raquel Urtasun

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction.

Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun

Proceedings of the 3rd Annual Conference on Robot Learning, 2019