Amit Bleiweiss
49Patents
7h-index
68Co-inventors
68Inventor score
Filing activity: Oct 2, 2007 → May 31, 2024
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US8824802B2 | Method and system for gesture recognition | Physics | 47 | Active |
| US8639020B1 | Method and system for modeling subjects from a depth map | Physics | 32 | Active |
| US7970176B2 | Method and system for gesture classification | Human Necessities | 24 | Active |
| US9910498B2 | System and method for close-range movement tracking | Physics | 23 | Active |
| US8958631B2 | System and method for automatically defining and identifying a gesture | Physics | 16 | Active |
| US11373088B2 | Machine learning accelerator mechanism | Physics | 15 | Active |
| US10372416B2 | Multiply-accumulate “0” data gating | Physics | 13 | Active |
| US9898688B2 | Vision enhanced drones for precision farming | Emerging Cross-Sectional Technologies | 7 | Active |
| US9928605B2 | Real-time cascaded object recognition | Physics | 6 | Active |
| US10068385B2 | Generation of synthetic 3-dimensional object images for recognition systems | Physics | 5 | Active |
| US10467795B2 | Sub-graph in frequency domain and dynamic selection of convolution implementation on a GPU | Physics | 4 | Active |
| US11636327B2 | Machine learning sparse computation mechanism for arbitrary neural networks, arithmetic compute microarchitecture, and sparsity for training mechanism | Physics | 4 | Active |
| US11087206B2 | Smart memory handling and data management for machine learning networks | Physics | 4 | Active |
| US10922556B2 | Storage system of DNN outputs for black box | Physics | 3 | Active |
| US10769862B2 | Generation of synthetic 3-dimensional object images for recognition systems | Physics | 3 | Active |
| US10853035B2 | Multiply-accumulate “0” data gating | Physics | 2 | Active |
| US11526736B2 | Methods, systems, articles of manufacture and apparatus to map workloads | Physics | 2 | Active |
| US9330470B2 | Method and system for modeling subjects from a depth map | Physics | 2 | Active |
| US11238338B2 | Real time context dependent deep learning | Emerging Cross-Sectional Technologies | 2 | Active |
| US10129530B2 | Video feature tagging | Electricity | 2 | Active |
| US11574453B2 | Generation of synthetic 3-dimensional object images for recognition systems | Physics | 1 | Active |
| US11093822B2 | Variable precision and mix type representation of multiple layers in a network | Physics | 1 | Active |
| US11138421B2 | Video feature tagging | Electricity | 1 | Active |
| US12039435B2 | Machine learning accelerator mechanism | Physics | 1 | Active |
| US11704564B2 | Real time context dependent deep learning | Emerging Cross-Sectional Technologies | 1 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.