Issued Patents 2024
Showing 1–24 of 24 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 12183087 | Semantically aware keypoint matching | Jiexiong Tang, Rares A. Ambrus, Adrien David Gaidon | 2024-12-31 |
| 12175775 | Producing a bird's eye view image from a two dimensional image | Rares A. Ambrus, Sudeep Pillai, Adrien David Gaidon | 2024-12-24 |
| 12175708 | Systems and methods for self-supervised learning of camera intrinsic parameters from a sequence of images | Adrien David Gaidon, Rares A. Ambrus, Igor Vasiljevic, Jiading Fang, Gregory Shakhnarovich +1 more | 2024-12-24 |
| 12159423 | Multi-camera cost volumes for self-supervised depth estimation | Jie Li | 2024-12-03 |
| 12151361 | Robust and perceptive manipulation through soft-bubble grippers and monocular depth | Rares A. Ambrus, Naveen Suresh Kuppuswamy, Andrew Beaulieu, Adrien David Gaidon, Alexander Alspach | 2024-11-26 |
| 12148223 | Shared vision system backbone | Arjun Bhargava, Chao Fang, Charles Christopher Ochoa, Kun-Hsin Chen, Kuan-Hui Lee | 2024-11-19 |
| 12136251 | Guided domain randomization via differentiable dataset rendering | Sergey Zakharov, Rares A. Ambrus, Adrien David Gaidon | 2024-11-05 |
| 12080013 | Multi-view depth estimation leveraging offline structure-from-motion | Jiexiong Tang, Rares A. Ambrus, Sudeep Pillai, Adrien David Gaidon | 2024-09-03 |
| 12073580 | Self-supervised 3D keypoint learning for monocular visual odometry | Jiexiong Tang, Rares A. Ambrus, Sudeep Pillai, Hanme Kim, Adrien David Gaidon | 2024-08-27 |
| 12067785 | Evaluation process for a multi-task network | Rares A. Ambrus, Dennis Park, Jie Li, Adrien David Gaidon | 2024-08-20 |
| 12045998 | Systems and methods for neural implicit scene representation with dense, uncertainty-aware monocular depth constraints | Rares A. Ambrus, Sergey Zakharov, Adrien David Gaidon | 2024-07-23 |
| 12033341 | Scale-aware depth estimation using multi-camera projection loss | Rares A. Ambrus, Adrien David Gaidon, Igor Vasiljevic, Gregory Shakhnarovich | 2024-07-09 |
| 12020489 | Network architecture for monocular depth estimation and object detection | Dennis Park, Rares A. Ambrus, Jie Li, Adrien David Gaidon | 2024-06-25 |
| 12008818 | Systems and methods to train a prediction system for depth perception | Rares A. Ambrus, Dennis Park, Jie Li, Adrien David Gaidon | 2024-06-11 |
| 11994408 | Incremental map building using learnable features and descriptors | Jiexiong Tang, Rares A. Ambrus, Hanme Kim, Adrien David Gaidon, Xipeng Wang +2 more | 2024-05-28 |
| 11966234 | System and method for monocular depth estimation from semantic information | Jie Li, Rares A. Ambrus, Sudeep Pillai, Adrien David Gaidon | 2024-04-23 |
| 11948309 | Systems and methods for jointly training a machine-learning-based monocular optical flow, depth, and scene flow estimator | Rares A. Ambrus, Kuan-Hui Lee, Adrien David Gaidon | 2024-04-02 |
| 11948310 | Systems and methods for jointly training a machine-learning-based monocular optical flow, depth, and scene flow estimator | Rares A. Ambrus, Kuan-Hui Lee, Adrien David Gaidon | 2024-04-02 |
| 11915487 | System and method for self-supervised depth and ego-motion overfitting | Rares A. Ambrus, Sudeep Pillai, Adrien David Gaidon | 2024-02-27 |
| 11900626 | Self-supervised 3D keypoint learning for ego-motion estimation | Jiexiong Tang, Rares A. Ambrus, Sudeep Pillai, Hanme Kim, Adrien David Gaidon | 2024-02-13 |
| 11891094 | Using a neural network to produce a digital map for a location | Rares A. Ambrus, Sudeep Pillai, Adrien David Gaidon | 2024-02-06 |
| 11887248 | Systems and methods for reconstructing a scene in three dimensions from a two-dimensional image | Sergey Zakharov, Wadim Kehl, Adrien David Gaidon, Rares A. Ambrus, Dennis Park +4 more | 2024-01-30 |
| 11875521 | Self-occlusion masks to improve self-supervised monocular depth estimation in multi-camera settings | Rares A. Ambrus, Adrien David Gaidon, Igor Vasiljevic, Gregory Shakhnarovich | 2024-01-16 |
| 11868439 | Mixed-batch training of a multi-task network | Adrien David Gaidon, Jie Li, Rares A. Ambrus | 2024-01-09 |