Hong Kong, China

Fengfeng Liang

This inventor holds 1 USPTO granted patent. Top assignee: Hong Kong Applied Science and Technology Research Institute. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Fengfeng Liang. Retrieved from https://idiyas.com/inventor/fengfeng-liang-cl7b2eej

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Fengfeng Liang and Video Object Detection and Tracking

Introduction

Fengfeng Liang is an inventor based in Hong Kong, CN. His patent work includes a computer-vision method for detecting and tracking objects in captured video using convolutional neural networks.

Latest Patents

The provided information lists 1 patent associated with Liang: “Method, Device, and System for Detecting and Tracking Objects in Captured Video Using Convolutional Neural Network.” The method uses a CNN-based detection model and tracking models to analyze image data. It enhances detection scores using both detection and tracking results, matches those results, processes matched and unmatched targets, and selectively updates tracking models based on estimated tracking reliability.

Career Highlights

Liang is associated with the Hong Kong Applied Science and Technology Research Institute. His listed patent addresses video analysis by combining object detection with tracking and reliability-based model updates.

Collaborations

The provided information names Shangping Liu and Ziyu Ni as Liang’s coworkers. It does not specify their roles in the patent or describe particular collaborations.

Conclusion

Fengfeng Liang’s listed invention combines CNN-based detection, object tracking, and reliability estimation to support the analysis of objects in captured video.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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