| 11210802 |
Systems and methods for conditioning training data to avoid learned aberrations |
Vitor Guizilini, Rares A. Ambrus, Rui Hou, Jie Li |
2021-12-28 |
| 11205082 |
Spatiotemporal relationship reasoning for pedestrian intent prediction |
Ehsan Adeli-Mosabbeb, Kuan-Hui Lee, Bingbin Liu, Zhangjie Cao, Juan Carlos Niebles |
2021-12-21 |
| 11176709 |
Systems and methods for self-supervised scale-aware training of a model for monocular depth estimation |
Sudeep Pillai, Rares A. Ambrus, Vitor Guizilini |
2021-11-16 |
| 11157940 |
Incentivized data transfer during vehicle refueling |
Nikolaos Michalakis |
2021-10-26 |
| 11145074 |
Systems and methods for depth estimation using monocular images |
Vitor Guizilini, Rares A. Ambrus, Sudeep Pillai |
2021-10-12 |
| 11144761 |
Deep data association for online multi-class multi-object tracking |
— |
2021-10-12 |
| 11144818 |
Network architecture for ego-motion estimation |
Rares A. Ambrus, Vitor Guizilini, Sudeep Pillai, Jie Li |
2021-10-12 |
| 11138751 |
Systems and methods for semi-supervised training using reprojected distance loss |
Vitor Guizilini, Sudeep Pillai, Rares A. Ambrus, Jie Li |
2021-10-05 |
| 11107230 |
Systems and methods for depth estimation using monocular images |
Sudeep Pillai, Rares A. Ambrus |
2021-08-31 |
| 11074438 |
Disentangling human dynamics for pedestrian locomotion forecasting with noisy supervision |
Karttikeya Mangalam, Ehsan Adeli-Mosabbeb, Kuan-Hui Lee, Juan Carlos Niebles Duque |
2021-07-27 |