Sarah Tariq
43Patents
7h-index
34Co-inventors
65Inventor score
Filing activity: Jun 15, 2010 → Jun 5, 2023
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US10832418B1 | Object velocity from images | Physics | 55 | Active |
| US10825188B1 | Detector-tracker architecture | Physics | 22 | Active |
| US11200429B1 | Tracking objects using sensor data segmentations and/or representations | Physics | 21 | Active |
| US10922574B1 | Bounding box embedding for object identifying | Physics | 15 | Active |
| US11577722B1 | Hyper planning based on object and/or region | Performing Operations; Transporting | 14 | Active |
| US10832062B1 | Image embedding for object tracking | Physics | 14 | Active |
| US10984290B1 | Multi-task learning for real-time semantic and/or depth aware instance segmentation and/or three-dimensional object bounding | Physics | 10 | Active |
| US11460857B1 | Object or person attribute characterization | Physics | 7 | Active |
| US11710352B1 | Machine-learned model training for pedestrian attribute and gesture detection | Physics | 6 | Active |
| US10817740B2 | Instance segmentation inferred from machine learning model output | Physics | 5 | Active |
| US11789456B2 | Object or person attribute characterization | Physics | 4 | Active |
| US11126179B2 | Motion prediction based on appearance | Physics | 4 | Active |
| US8452721B2 | Region of interest tracking for fluid simulation | Physics | 4 | Active |
| US11292462B1 | Object trajectory from wheel direction | Physics | 3 | Active |
| US11610078B2 | Low variance region detection for improved high variance region detection using machine learning | Physics | 3 | Active |
| US11472442B2 | Map consistency checker | Performing Operations; Transporting | 3 | Active |
| US11753036B1 | Energy consumption control systems and methods for vehicles | Electricity | 2 | Active |
| US11450117B2 | Hierarchical machine-learning network architecture | Physics | 2 | Active |
| US11592818B2 | Restricted multi-scale inference for machine learning | Physics | 2 | Active |
| US10936922B2 | Machine learning techniques | Physics | 2 | Active |
| US11430225B2 | Image embedding for object tracking | Physics | 1 | Active |
| US12051276B1 | Machine-learned model training for pedestrian attribute and gesture detection | Physics | 1 | Active |
| US11776135B2 | Object velocity from images | Physics | 1 | Active |
| US11605236B2 | Training a machine-learned model to detect low variance regions | Performing Operations; Transporting | 1 | Active |
| US11460850B1 | Object trajectory from wheel direction | Physics | 1 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.