This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Google Inc.. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Bardia Doosti: Innovator in Machine-Learned Visual Attention Models
Introduction
Bardia Doosti is an accomplished inventor based in Bloomington, IN (US). He has made significant contributions to the field of machine learning, particularly in developing systems and methods for training visual attention models. His innovative work has the potential to enhance various applications in artificial intelligence.
Latest Patents
Bardia Doosti holds a patent for "Systems and methods for training machine-learned visual attention models." This patent outlines a method for training a machine-learned visual attention model. The process involves obtaining image data depicting a person's head and an additional entity. The method includes processing this image data with an encoder portion of the visual attention model to obtain latent head and entity encodings. Furthermore, it processes these encodings to derive visual attention values and visual location estimations. The training of the models is achieved by evaluating a loss function that assesses differences between the visual location estimation and a pseudo visual location label, as well as between the visual attention value and a ground truth visual attention label.
Career Highlights
Bardia is currently employed at Google Inc., where he continues to push the boundaries of machine learning technology. His work at Google has allowed him to collaborate with some of the brightest minds in the industry, contributing to advancements in artificial intelligence.
Collaborations
Some of Bardia's notable coworkers include Raviteja Vemulapalli and Xuhui Jia. Their collaborative efforts have further enriched the research and development environment at Google.
Conclusion
Bardia Doosti is a prominent figure in the realm of machine learning, with a focus on visual attention models. His innovative patent and work at Google highlight his commitment to advancing technology in this field. His contributions are paving the way for future developments in artificial intelligence.