Kristen Grauman

This inventor holds 8 USPTO granted patents and 1 published patent application. Top assignees: The University of Texas System, Meta Platforms, Inc., Massachusetts Institute of Technology. Active years: 2011-2025.

USPTO Granted Patents = 8 (Patent Applications = 1)

% Patents Active = 62.5

Average Co-Inventor Count = 2.5

ph-index = 3

Forward Citations = 78(Granted Patents)

Company Filing History:

4 out of 5,633

The University of Texas System

Massachusetts Institute of Technology

patents

Years Active: 2011-2025

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8 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12406496 - Anticipative video transformer model for future action anticipation (2025-09-02),

2. 11823392 - Segmenting generic foreground objects in images and videos (2023-11-21),

3. 11810354 - Generating digital floorplans from sparse digital video utilizing an audio-visual floorplan reconstruction machine learning model (2023-11-07),

4. 11610599 - Systems and methods for visually guided audio separation (2023-03-21),

5. 11423548 - Segmenting generic foreground objects in images and videos (2022-08-23),

6. 9292517 - Efficiently identifying images, videos, songs or documents most relevant to the user based on attribute feedback (2016-03-22),

7. 9176993 - Efficiently identifying images, videos, songs or documents most relevant to the user using binary search trees on attributes for guiding relevance feedback (2015-11-03),

8. 7949186 - Pyramid match kernel and related techniques (2011-05-24),

Title: Kristen Lorraine Grauman - Innovator from Austin, TX

Introduction: Kristen Lorraine Grauman is a renowned inventor based in Austin, Texas, known for her groundbreaking contributions to the field of computer vision and machine learning.

Latest Patents: Kristen Grauman holds several patents related to image recognition technologies and visual search algorithms, revolutionizing the way machines perceive and interpret visual data.

Career Highlights: With a background in computer science and artificial intelligence, Kristen Grauman has made significant strides in developing innovative solutions for image analysis and object recognition, earning her recognition as a leading expert in the field.

Collaborations: Throughout her career, Kristen Grauman has collaborated with top research institutions and tech companies to further advance the capabilities of computer vision systems, paving the way for new applications in various industries.

Conclusion: Kristen Lorraine Grauman's dedication to pushing the boundaries of computer vision technology has solidified her reputation as a pioneering inventor in the field, with her work continuing to inspire future innovations in the realm of artificial intelligence.