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Location History:
- San Fransico, CA (US) (2018)
- San Jose, CA (US) (2022)
- San Francisco, CA (US) (1999 - 2024)
Company Filing History:
Years Active: 1999-2025
Title: Inventor Profile: Baldo Antonio Faieta
Introduction
Baldo Antonio Faieta is a prominent inventor based in San Francisco, California, known for his significant contributions to the field of image editing and machine learning. With a remarkable portfolio of 66 patents, Faieta has established himself as a leading figure in the innovation landscape.
Latest Patents
Faieta's latest patents demonstrate his expertise in advanced machine learning techniques. One notable patent is titled "Semantic-aware initial latent code selection for text-guided image editing and generation." This invention involves an item recommendation system that applies an image modification model to recommend a contrast group from a set of items based on unbiased conversion rates. Another key patent, "Visual-semantic representation learning via multi-modal contrastive training," outlines systems and methods for multi-modal representation learning, leveraging cross-modal training tasks to enhance visual representation through machine learning methods.
Career Highlights
Throughout his career, Baldo Antonio Faieta has worked with esteemed organizations, including Adobe, Inc. and Interval Research Corporation. His work at these leading companies has allowed him to push the boundaries of innovation, particularly in the domain of image processing and representation learning.
Collaborations
Faieta has collaborated with talented individuals in the field, including Zhe Lin and Saeid Motiian. These partnerships have led to groundbreaking advancements in machine learning and image-based technologies, showcasing the power of collaborative innovation.
Conclusion
Baldo Antonio Faieta's impressive track record of patents and his contributions to industries at the forefront of technology underscore his status as an influential inventor. His ongoing work continues to inspire advancements in machine learning and image editing, shaping the future of these dynamic fields.
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