Chenchi Luo
26Patents
2h-index
20Co-inventors
53Inventor score
Filing activity: Mar 28, 2012 → Apr 12, 2024
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US9837971B2 | Method and system for excursion protection of a speaker | Electricity | 17 | Active |
| US8983080B2 | Method and system for temperature protection of a speaker | Electricity | 4 | Active |
| US11195259B2 | Apparatus and method for dynamic multi-camera rectification using depth camera | Physics | 2 | Active |
| US8692801B2 | System and method for sparse touch sensing on capacitive touch screen | Physics | 2 | Active |
| US11025942B2 | Progressive compressed domain computer vision and deep learning systems | Electricity | 1 | Active |
| US11449968B2 | System and method for synthetic depth-of-field effect rendering for videos | Physics | 1 | Active |
| US10986287B2 | Capturing a photo using a signature motion of a mobile device | Electricity | 1 | Active |
| US11593637B2 | Convolution streaming engine for deep neural networks | Physics | 1 | Active |
| US11119915B2 | Dynamic memory mapping for neural networks | Physics | 1 | Active |
| US11132772B2 | Asymmetric normalized correlation layer for deep neural network feature matching | Electricity | 1 | Active |
| US11086967B2 | Implementing fundamental computational primitives using a matrix multiplication accelerator (MMA) | Physics | 1 | Active |
| US11816855B2 | Array-based depth estimation | Electricity | 1 | Active |
| US11503266B2 | Super-resolution depth map generation for multi-camera or other environments | Electricity | 1 | Active |
| US11847771B2 | Systems and methods for quantitative evaluation of optical map quality and for data augmentation automation | Physics | 0 | Active |
| US11960567B2 | Implementing fundamental computational primitives using a matrix multiplication accelerator (MMA) | Physics | 0 | Active |
| US9524069B2 | Keypad with 1-bit capacitive touch sensing analog front end with sparse multi-touch detection | Electricity | 0 | Active |
| US11556784B2 | Multi-task fusion neural network architecture | Physics | 0 | Active |
| US11989637B2 | System and method for invertible wavelet layer for neural networks | Physics | 0 | Active |
| US9007334B2 | Baseline capacitance calibration | Physics | 0 | Active |
| US11580399B2 | System and method for convolutional layer structure for neural networks | Physics | 0 | Active |
| US12148175B2 | Multi-frame optical flow network with lossless pyramid micro-architecture | Physics | 0 | Active |
| US12373515B2 | Computational primitives using a matrix multiplication accelerator | Physics | 0 | Active |
| US11823353B2 | System and method for generating bokeh image for DSLR quality depth-of-field rendering and refinement and training method for the same | Physics | 0 | Active |
| US11720782B2 | Multi-sensor, multi-view, multi-frame, multi-task synthetic image fusion engine for mobile imaging system | Physics | 0 | Active |
| US11532091B2 | Guided backpropagation-gradient updating for image processing task using redundant information from image | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.