Catanzaro; Bryan

Patent Applications and Registrations

Patent applications and USPTO patent grants for Catanzaro; Bryan.The latest application filed is for "image enhancement using one or more neural networks".

Company Profile

14.7.22

Catanzaro; Bryan - Los Altos Hills CA
Catanzaro; Bryan - Sunnyvale CA
Catanzaro; Bryan - Cupertino CA
Catanzaro; Bryan - Albany CA

*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.

Patent Activity

Patent	Date
Image Enhancement Using One Or More Neural Networks App 20220156883 - Pottorff; Robert ; et al.	2022-05-19
Image Blending Using One Or More Neural Networks App 20220148256 - Liu; Shiqiu ; et al.	2022-05-12
Upsampling An Image Using One Or More Neural Networks App 20220138903 - Liu; Shiqiu ; et al.	2022-05-05
Training One Or More Neural Networks Using Synthetic Data App 20220130013 - Pottorff; Robert ; et al.	2022-04-28
Upsampling An Image Using One Or More Neural Networks App 20220114702 - Liu; Shiqiu ; et al.	2022-04-14
Upsampling An Image Using One Or More Neural Networks App 20220114701 - Liu; Shiqiu ; et al.	2022-04-14
Upsampling An Image Using One Or More Neural Networks App 20220114700 - Liu; Shiqiu ; et al.	2022-04-14
Image Enhancement Using One Or More Neural Networks App 20220067879 - Pottorff; Robert ; et al.	2022-03-03
Image Enhancement Using One Or More Neural Networks App 20210383505 - Pottorff; Robert ; et al.	2021-12-09
Video Prediction Using One Or More Neural Networks App 20210064925 - Shih; Kevin ; et al.	2021-03-04
Video Interpolation Using One Or More Neural Networks App 20210067735 - Reda; Fitsum ; et al.	2021-03-04
Invertible Neural Network To Synthesize Audio Signals App 20200394994 - Prenger; Ryan ; et al.	2020-12-17
Systems and methods for a multi-core optimized recurrent neural network Grant 10,832,120 - Diamos , et al. November 10, 2	2020-11-10
Systems and methods for efficient neural network deployments Grant 10,769,533 - Fougner , et al. Sep	2020-09-08
Systems and methods for speech transcription Grant 10,540,957 - Hannun , et al. Ja	2020-01-21
Deep Learning Models For Speech Recognition App 20190371298 - HANNUN; Awni ; et al.	2019-12-05
Video Prediction Using Spatially Displaced Convolution App 20190297326 - Reda; Fitsum A. ; et al.	2019-09-26
Image In-painting For Irregular Holes Using Partial Convolutions App 20190295228 - Liu; Guilin ; et al.	2019-09-26
End-to-end speech recognition Grant 10,332,509 - Catanzaro , et al.	2019-06-25
Deployed end-to-end speech recognition Grant 10,319,374 - Catanzaro , et al.	2019-06-11
Performing multi-convolution operations in a parallel processing system Grant 10,223,333 - Chetlur , et al.	2019-03-05
Systems And Methods For A Multi-core Optimized Recurrent Neural Network App 20170169326 - Diamos; Gregory ; et al.	2017-06-15
Deployed End-to-end Speech Recognition App 20170148433 - Catanzaro; Bryan ; et al.	2017-05-25
End-to-end Speech Recognition App 20170148431 - Catanzaro; Bryan ; et al.	2017-05-25
Systems And Methods For Efficient Neural Network Deployments App 20170068889 - Fougner; Christopher ; et al.	2017-03-09
Systems And Methods For Speech Transcription App 20160171974 - Hannun; Awni ; et al.	2016-06-16
Performing Multi-convolution Operations In A Parallel Processing System App 20160062947 - CHETLUR; Sharanyan ; et al.	2016-03-03
Method of decreasing a total computation time for a visual simulation loop in a virtual world application Grant 8,275,805 - Chhugani , et al. September 25, 2	2012-09-25
Time and space efficient sharing of data structures across different phases of a virtual world application App 20110238680 - Chhugani; Jatin ; et al.	2011-09-29

uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.

While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.

All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.