Zhimin Cao

This inventor holds 8 USPTO granted patents and 3 published patent applications and 3 EPO patents. Top assignees: Beijing Kuangshi Technology Co., Ltd., Pinhole (Beijing) Technology Co., Ltd.. Active years: 2016-2019.

USPTO Granted Patents = 8 (Patent Applications = 3)

% Patents Active = 50.0

EPO Patents = 3 (Patent Applications = 5)

Average Co-Inventor Count = 3.2

ph-index = 5

Forward Citations = 53(Granted Patents)

Company Filing History:

8 out of 61

Beijing Kuangshi Technology Co., Ltd.

patents

2 out of 24

Pinhole (Beijing) Technology Co., Ltd.

patents

where one patent can have more than one assignee

Years Active: 2016-2019

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8 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 10268950 - Face detection using machine learning (2019-04-23),

2. 9990555 - Video detection method, video detection system and computer program product (2018-06-05),

3. 9985963 - Method and system for authenticating liveness face, and computer program product thereof (2018-05-29),

4. 9530071 - Hierarchical interlinked multi-scale convolutional network for image parsing (2016-12-27),

5. 9405960 - Face hallucination using convolutional neural networks (2016-08-02),

6. 9400922 - Facial landmark localization using coarse-to-fine cascaded neural networks (2016-07-26),

7. 9400919 - Learning deep face representation (2016-07-26),

8. 9400918 - Compact face representation (2016-07-26),

Title: Zhimin Cao: Innovator in Machine Learning and Video Detection Technologies

Introduction

Zhimin Cao is a prominent inventor based in Beijing, China. He has made significant contributions to the fields of machine learning and video detection technologies. With a total of eight patents to his name, Cao's work focuses on enhancing the capabilities of face detection systems and video analysis.

Latest Patents

One of his latest patents involves a face detection system that utilizes a convolutional neural network (CNN). This innovative method automatically trains the CNN for face detection by ensuring a balanced number of face and non-face images during the training process. Additionally, it adapts the number of training stages based on automatic stopping criteria. Another notable patent pertains to a video detection method and system that implements liveness detection for human bodies. This method involves obtaining video data, determining the object to be detected, and assessing whether the corresponding signal is a liveness physiological signal.

Career Highlights

Zhimin Cao has worked with several notable companies, including Beijing Kuangshi Technology Co., Ltd. and Pinhole Technology Co., Ltd. His expertise in machine learning and video detection has positioned him as a key figure in these organizations, contributing to advancements in technology.

Collaborations

Cao has collaborated with talented individuals such as Qi Yin and Haoqiang Fan, further enhancing the innovative projects he has been involved in.

Conclusion

Zhimin Cao's contributions to machine learning and video detection technologies demonstrate his commitment to innovation. His patents reflect a deep understanding of complex systems and a drive to improve technological capabilities.