Sean Segal
Sean Segal
University of Toronto, Uber Advanced Technologies Group
在 cs.toronto.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Discrete residual flow for probabilistic pedestrian behavior prediction
A Jain, S Casas, R Liao, Y Xiong, S Feng, S Segal, R Urtasun
Conference on Robot Learning, 407-419, 2020
312020
End-to-end contextual perception and prediction with interaction transformer
LL Li, B Yang, M Liang, W Zeng, M Ren, S Segal, R Urtasun
arXiv preprint arXiv:2008.05927, 2020
142020
Diverse Complexity Measures for Dataset Curation in Self-driving
A Sadat, S Segal, S Casas, J Tu, B Yang, R Urtasun, E Yumer
arXiv preprint arXiv:2101.06554, 2021
12021
Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs
S Segal, E Kee, W Luo, A Sadat, E Yumer, R Urtasun
arXiv preprint arXiv:2011.06165, 2020
12020
Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes
S Segal, N Kumar, S Casas, W Zeng, M Ren, J Wang, R Urtasun
arXiv preprint arXiv:2104.03956, 2021
2021
Systems and Methods for Generating Motion Forecast Data for a Plurality of Actors with Respect to an Autonomous Vehicle
LY Li, B Yang, M Liang, W Zeng, M Ren, S Segal, R Urtasun
US Patent App. 16/801,933, 2021
2021
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