Issued Patents 2023
Showing 1–22 of 22 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 11830253 | Semantically aware keypoint matching | Jiexiong Tang, Rares A. Ambrus, Adrien David Gaidon | 2023-11-28 |
| 11822621 | Systems and methods for training a machine-learning-based monocular depth estimator | Rares A. Ambrus, Adrien David Gaidon, 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, Adrien David Gaidon | 2023-11-07 |
| 11798288 | System and method for generating a training set for improving monocular object detection | Dennis Park, Rares A. Ambrus, Jie Li, Adrien David Gaidon | 2023-10-24 |
| 11783593 | Monocular depth supervision from 3D bounding boxes | Adrien David Gaidon | 2023-10-10 |
| 11783591 | Using a multimode neural network to determine a representation of a spatial structure objects in an image | Sudeep Pillai, Rares A. Ambrus, Adrien David Gaidon | 2023-10-10 |
| 11783541 | System and method for estimating depth uncertainty for self-supervised 3D reconstruction | Adrien David Gaidon | 2023-10-10 |
| 11756219 | Multi-scale recurrent decoder for monocular depth estimation | Adrien David Gaidon | 2023-09-12 |
| 11741728 | Keypoint matching using graph convolutions | Jiexiong Tang, Rares A. Ambrus, Jie Li, Sudeep Pillai, Adrien David Gaidon | 2023-08-29 |
| 11734845 | System and method for self-supervised monocular ground-plane extraction | Rares A. Ambrus, Adrien David Gaidon | 2023-08-22 |
| 11727589 | System and method to improve multi-camera monocular depth estimation using pose averaging | Rares A. Ambrus, Adrien David Gaidon, Igor Vasiljevic, Gregory Shakhnarovich | 2023-08-15 |
| 11727588 | Depth estimation based on ego-motion estimation and residual flow estimation | Jiexiong Tang, Rares A. Ambrus, Adrien David Gaidon | 2023-08-15 |
| 11704822 | Systems and methods for multi-camera modeling with neural camera networks | Igor Vasiljevic, Rares A. Ambrus, Adrien David Gaidon | 2023-07-18 |
| 11704821 | Camera agnostic depth network | Sudeep Pillai, Adrien David Gaidon, Rares A. Ambrus, Igor Vasiljevic | 2023-07-18 |
| 11688090 | Shared median-scaling metric for multi-camera self-supervised depth evaluation | Rares A. Ambrus, Adrien David Gaidon, Igor Vasiljevic, Gregory Shakhnarovich | 2023-06-27 |
| 11663729 | Network architecture for the joint learning of monocular depth prediction and completion | Rares A. Ambrus, Adrien David Gaidon | 2023-05-30 |
| 11657522 | Sparse auxiliary network for depth completion | Rares A. Ambrus, Adrien David Gaidon | 2023-05-23 |
| 11652972 | Systems and methods for self-supervised depth estimation according to an arbitrary camera | Igor Vasiljevic, Rares A. Ambrus, Sudeep Pillai, Adrien David Gaidon | 2023-05-16 |
| 11625846 | Systems and methods for training a machine-learning-based monocular depth estimator | Rares A. Ambrus, Adrien David Gaidon, Jie Li | 2023-04-11 |
| 11615544 | Systems and methods for end-to-end map building from a video sequence using neural camera models | Igor Vasiljevic, Rares A. Ambrus, Sudeep Pillai, Adrien David Gaidon | 2023-03-28 |
| 11557051 | Training of joint depth prediction and completion | Rares A. Ambrus, Adrien David Gaidon | 2023-01-17 |
| 11551363 | Systems and methods for self-supervised residual flow estimation | Adrien David Gaidon | 2023-01-10 |