David Fleet
16Patents
5h-index
25Co-inventors
66Inventor score
Filing activity: Oct 23, 1997 → Jul 27, 2023
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US5949055A | Automatic geometric image transformations using embedded signals | Electricity | 285 | Expired |
| US6903751B2 | System and method for editing electronic images | Physics | 62 | Expired |
| US7058205B2 | Robust, on-line, view-based appearance models for visual motion analysis and visual tracking | Physics | 36 | Expired |
| US6954544B2 | Visual motion analysis method for detecting arbitrary numbers of moving objects in image sequences | Physics | 27 | Expired |
| US7093202B2 | Method and system for interpreting imprecise object selection paths | Physics | 23 | Expired |
| US11978141B2 | Generating images using sequences of generative neural networks | Physics | 3 | Active |
| US10282513B2 | Methods and systems for 3D structure estimation | Physics | 1 | Active |
| US11756166B2 | Image enhancement via iterative refinement based on machine learning models | Physics | 1 | Active |
| US9830732B1 | Methods and systems for image alignment of at least one image to a model | Physics | 0 | Active |
| US12362037B2 | Methods and systems for reconstruction of three-dimensional structure and three-dimensional motion of a protein molecule | Physics | 0 | Active |
| US10242483B2 | Methods and systems for image alignment of at least one image to a model | Physics | 0 | Active |
| US12387096B2 | Image-to-image mapping by iterative de-noising | Physics | 0 | Active |
| US11515002B2 | Methods and systems for 3D structure estimation | Physics | 0 | Active |
| US12165289B2 | Image enhancement via iterative refinement based on machine learning models | Physics | 0 | Active |
| US11680914B2 | Methods and systems for 3D structure estimation using non-uniform refinement | Physics | 0 | Active |
| US11769228B2 | Image enhancement via iterative refinement based on machine learning models | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.