Issued Patents All Time
Showing 26–50 of 129 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 12073580 | Self-supervised 3D keypoint learning for monocular visual odometry | Jiexiong Tang, Rares A. Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim | 2024-08-27 |
| 12067785 | Evaluation process for a multi-task network | Rares A. Ambrus, Dennis Park, Vitor Guizilini, Jie Li | 2024-08-20 |
| 12061480 | Causing a mobile robot to move according to a planned trajectory determined from a prediction of agent states of agents in an environment of the mobile robot | Boris Ivanovic, Amine Elhafsi, Guy Rosman, Marco Pavone | 2024-08-13 |
| 12045998 | Systems and methods for neural implicit scene representation with dense, uncertainty-aware monocular depth constraints | Rares A. Ambrus, Sergey Zakharov, Vitor Guizilini | 2024-07-23 |
| 12039438 | Systems and methods for trajectory forecasting according to semantic category uncertainty | Boris Ivanovic, Kuan-Hui Lee, Jie Li, Pavel Tokmakov | 2024-07-16 |
| 12033341 | Scale-aware depth estimation using multi-camera projection loss | Vitor Guizilini, Rares A. Ambrus, Igor Vasiljevic, Gregory Shakhnarovich | 2024-07-09 |
| 12020489 | Network architecture for monocular depth estimation and object detection | Dennis Park, Rares A. Ambrus, Vitor Guizilini, Jie Li | 2024-06-25 |
| 12008818 | Systems and methods to train a prediction system for depth perception | Rares A. Ambrus, Dennis Park, Vitor Guizilini, Jie Li | 2024-06-11 |
| 11994408 | Incremental map building using learnable features and descriptors | Jiexiong Tang, Rares A. Ambrus, Hanme Kim, Vitor Guizilini, Xipeng Wang +2 more | 2024-05-28 |
| 11967141 | Neural architecture search for fusing multiple networks into one | Jie Li | 2024-04-23 |
| 11966234 | System and method for monocular depth estimation from semantic information | Vitor Guizilini, Jie Li, Rares A. Ambrus, Sudeep Pillai | 2024-04-23 |
| 11948310 | Systems and methods for jointly training a machine-learning-based monocular optical flow, depth, and scene flow estimator | Vitor Guizilini, Rares A. Ambrus, Kuan-Hui Lee | 2024-04-02 |
| 11948309 | Systems and methods for jointly training a machine-learning-based monocular optical flow, depth, and scene flow estimator | Vitor Guizilini, Rares A. Ambrus, Kuan-Hui Lee | 2024-04-02 |
| 11915487 | System and method for self-supervised depth and ego-motion overfitting | Rares A. Ambrus, Vitor Guizilini, Sudeep Pillai | 2024-02-27 |
| 11900626 | Self-supervised 3D keypoint learning for ego-motion estimation | Jiexiong Tang, Rares A. Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim | 2024-02-13 |
| 11891094 | Using a neural network to produce a digital map for a location | Vitor Guizilini, Rares A. Ambrus, Sudeep Pillai | 2024-02-06 |
| 11887248 | Systems and methods for reconstructing a scene in three dimensions from a two-dimensional image | Sergey Zakharov, Wadim Kehl, Vitor Guizilini, Rares A. Ambrus, Dennis Park +4 more | 2024-01-30 |
| 11878684 | System and method for trajectory prediction using a predicted endpoint conditioned network | Karttikeya Mangalam, Kuan-Hui Lee | 2024-01-23 |
| 11875521 | Self-occlusion masks to improve self-supervised monocular depth estimation in multi-camera settings | Vitor Guizilini, Rares A. Ambrus, Igor Vasiljevic, Gregory Shakhnarovich | 2024-01-16 |
| 11868439 | Mixed-batch training of a multi-task network | Vitor Guizilini, Jie Li, Rares A. Ambrus | 2024-01-09 |
| 11854280 | Learning monocular 3D object detection from 2D semantic keypoint detection | Arjun Bhargava, Haofeng Chen, Rares A. Ambrus, Sudeep Pillai | 2023-12-26 |
| 11829150 | Systems and methods for using a joint feature space to identify driving behaviors | — | 2023-11-28 |
| 11830253 | Semantically aware keypoint matching | Jiexiong Tang, Rares A. Ambrus, Vitor Guizilini | 2023-11-28 |
| 11822621 | Systems and methods for training a machine-learning-based monocular depth estimator | Vitor Guizilini, Rares A. Ambrus, Jie Li | 2023-11-21 |
| 11809524 | System and method for training an adapter network to improve transferability to real-world datasets | Sergey Zakharov, Wadim Kehl, Vitor Guizilini | 2023-11-07 |