This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignee: Google Inc.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations of Mohammad Taghi Saffar
Introduction
Mohammad Taghi Saffar is a notable inventor based in Santa Clara, CA. He has made significant contributions to the field of machine learning and video prediction. With a total of 3 patents, his work focuses on enhancing the understanding and processing of visual data.
Latest Patents
One of his latest patents is titled "Localization of objects encoded in image data in accordance with natural language queries." This invention is directed towards generalized object location, where the located object corresponds to a natural language query. The architecture he developed achieves enhanced performance in three key tasks: referring expression comprehension, object localization, and object detection. It employs machine-learned natural language models and image models to understand and answer localization questions related to images. The system can output multiple boxes, provide no output if the object is absent, and solve general detection tasks.
Another significant patent is "Pixel-level video prediction with improved performance and efficiency." This invention features a machine-learned video prediction model that processes previous video frames to generate predicted subsequent frames. The model includes a convolutional variational autoencoder, which consists of an encoder portion with encoding cells and a decoder portion with decoding cells. This innovation aims to enhance the efficiency and accuracy of video predictions.
Career Highlights
Mohammad Taghi Saffar is currently employed at Google Inc., where he continues to push the boundaries of technology through his innovative work. His contributions have been instrumental in advancing the capabilities of machine learning applications.
Collaborations
He has collaborated with notable colleagues such as Wei-Cheng Kuo and Fred Bertsch, further enriching his research and development efforts.
Conclusion
Mohammad Taghi Saffar's work exemplifies the intersection of technology and innovation. His patents reflect a commitment to improving machine learning and video processing, making significant strides in these fields.