Location History:
- Stanford, CA (US) (2019)
- Santa Clara, CA (US) (2020)
- Cupertino, CA (US) (2020)
Company Filing History:
Years Active: 2019-2020
Title: Qifeng Chen: Innovator in Imaging and Speech Processing Technologies
Introduction
Qifeng Chen is a notable inventor based in Santa Clara, CA, who has made significant contributions to the fields of imaging and speech processing. With a total of 3 patents to his name, Chen's work focuses on advanced technologies that enhance the capabilities of imaging systems and improve speech clarity in noisy environments.
Latest Patents
One of Chen's latest patents is titled "Low-light imaging using trained convolutional neural networks." This invention describes an apparatus designed for imaging in low-light conditions, which includes a raw sensor data receiver that captures data from an imaging sensor. The apparatus utilizes a convolutional neural network that is specifically trained to generate illuminated images based on the received raw sensor data. This innovative approach leverages images captured by similar sensors to enhance low-light imaging capabilities.
Another significant patent by Chen is "Neural network for speech denoising trained with deep feature losses." This patent outlines techniques for effectively denoising speech using a specialized neural network. The methodology involves training the denoising neural network with deep feature losses derived from an audio classifier neural network. The process includes applying the denoising network to noisy speech samples, generating processed signals, and iteratively refining the network through back-propagation based on loss values calculated from activation features.
Career Highlights
Qifeng Chen is currently employed at Intel Corporation, where he continues to push the boundaries of technology through his innovative work. His expertise in neural networks and imaging technologies has positioned him as a key contributor in his field.
Collaborations
Throughout his career, Chen has collaborated with esteemed colleagues, including Vladlen Koltun and Jia Xu. These partnerships have fostered an environment of innovation and have led to the development of cutting-edge technologies.
Conclusion
Qifeng Chen's contributions to imaging and speech processing technologies exemplify the impact of innovation in enhancing everyday experiences. His patents reflect a commitment to advancing technology and improving the functionality of imaging systems and speech clarity.