Piotr Dollar
13Patents
3h-index
19Co-inventors
53Inventor score
Filing activity: Dec 17, 2012 → Jul 27, 2022
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US10713794B1 | Method and system for using machine-learning for object instance segmentation | Physics | 98 | Active |
| US10496895B2 | Generating refined object proposals using deep-learning models | Physics | 3 | Active |
| US10255522B2 | Generating object proposals using deep-learning models | Physics | 3 | Active |
| US8977060B2 | Motion stabilization and detection of articulated objects | Physics | 2 | Active |
| US9070045B2 | Crosstalk cascades for use in object detection | Physics | 1 | Active |
| US9934577B2 | Digital image edge detection | Physics | 1 | Active |
| US9734404B2 | Motion stabilization and detection of articulated objects | Physics | 1 | Active |
| US10592778B2 | Stereoscopic object detection leveraging expected object distance | Physics | 0 | Active |
| US10607318B2 | Systems and methods for image matting | Physics | 0 | Active |
| US12266160B2 | Masked autoencoders for computer vision | Physics | 0 | Active |
| US11023772B2 | Generating refined object proposals using deep learning models | Physics | 0 | Active |
| US10496896B2 | Generating object proposals using deep-learning models | Physics | 0 | Active |
| US9934451B2 | Stereoscopic object detection leveraging assumed distance | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.