This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignee: Google Inc.. Active years: 2023-2025.
Company Filing History:
Years Active: 2023-2025
Title: Shubhang Verma: Innovator in Image Search Technology
Introduction
Shubhang Verma is a prominent inventor based in Mountain View, CA (US). He has made significant contributions to the field of image search technology, holding a total of 3 patents. His work focuses on enhancing the efficiency and accuracy of image retrieval systems.
Latest Patents
One of Shubhang Verma's latest patents is titled "Embedding based retrieval for image search." This patent describes methods, systems, and apparatus that include computer programs encoded on a computer storage medium for retrieving image search results using embedding neural network models. In this innovative approach, an image search query is received, and a respective pair numeric embedding for each of a plurality of image-landing page pairs is determined. Each pair numeric embedding serves as a numeric representation in an embedding space. The image search query embedding neural network processes features of the image search query and generates a query numeric embedding, which is a numeric representation of the image search query in the same embedding space. A subset of the image-landing page pairs with pair numeric embeddings closest to the query numeric embedding is identified as the first candidate image search results.
Career Highlights
Shubhang Verma is currently employed at Google Inc., where he continues to innovate and develop advanced technologies in image search. His work has been instrumental in improving the user experience for image retrieval on various platforms.
Collaborations
Shubhang has collaborated with notable coworkers, including Wenyuan Yin and Sundeep Tirumalareddy, contributing to a dynamic and innovative work environment.
Conclusion
Shubhang Verma's contributions to image search technology exemplify the impact of innovative thinking in the tech industry. His patents reflect a commitment to advancing the capabilities of image retrieval systems, making significant strides in this field.
