John Philip Collomosse

USPTO Granted Patents = 19 (Patent Applications = 11)

Average Co-Inventor Count = 2.9

ph-index = 3

Forward Citations = 21(Granted Patents)

Location History:

Ripley, GB (2019 - 2020)
Surrey, GB (2021)
Pyrford, GB (2021)
Woking, GB (2022 - 2024)

Company Filing History:

where one patent can have more than one assignee

Years Active: 2019-2025

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19 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 12462560 - Video manipulation detection (2025-11-04),

2. 12450782 - Latent space based steganographic image generation (2025-10-21),

3. 12417245 - Scalable video fingerprinting for content authenticity (2025-09-16),

4. 12361013 - Guided content discovery in visual search (2025-07-15),

5. 12198224 - Retrieval-based text-to-image generation with visual-semantic contrastive representation (2025-01-14),

6. 12183056 - Adversarially robust visual fingerprinting and image provenance models (2024-12-31),

7. 12147495 - Robust content fingerprinting for image attribution (2024-11-19),

8. 12105767 - Digital content layout encoding for search (2024-10-01),

9. 12081827 - Determining video provenance utilizing deep learning (2024-09-03),

10. 11966849 - Image processing network search for deep image priors (2024-04-23),

11. 11823322 - Utilizing voxel feature transformations for view synthesis (2023-11-21),

12. 11709885 - Determining fine-grain visual style similarities for digital images by extracting style embeddings disentangled from image content (2023-07-25),

13. 11393158 - Utilizing voxel feature transformations for deep novel view synthesis (2022-07-19),

14. 11068493 - Guided content discovery in visual search (2021-07-20),

15. 11055828 - Video inpainting with deep internal learning (2021-07-06),

Title: Innovator Spotlight: John Philip Collomosse

Introduction

John Philip Collomosse is a prominent inventor located in Ripley, GB. With an impressive portfolio of 16 patents, he has contributed significantly to the fields of visual search and image generation technologies. His work demonstrates a unique blend of creativity and technical expertise, making him a noteworthy figure in the innovation landscape.

Latest Patents

Among his latest patents, Collomosse has developed innovative systems for guided content discovery in visual search. This invention includes methods and computer storage media that enhance the visual search experience by representing queries as sketch sequences. By utilizing a structural neural network, his invention can transform sketch queries into target sketches, thus guiding users to relevant content effectively.

Another notable patent is focused on retrieval-based text-to-image generation with visual-semantic contrastive representation. This invention describes a method for generating images based on text phrases, utilizing image generation networks and retrieved search images. This approach marks a significant advancement in automated image generation and showcases Collomosse's dedication to enhancing visual technology.

Career Highlights

Throughout his career, Collomosse has worked with esteemed organizations such as Adobe, Inc. and the University of Surrey. His tenure at these institutions has allowed him to collaborate on groundbreaking projects and refine his skills in the realm of visual computing and image processing.

Collaborations

Collomosse has worked alongside talented individuals like Hailin Jin and Zhaowen Wang, further enriching his inventions with diverse expertise. These collaborations highlight the importance of teamwork in driving innovation and pushing the boundaries of technology.

Conclusion

John Philip Collomosse stands out as a significant figure in the world of innovation, with a remarkable number of patents that showcase his inventive spirit. His recent work on visual search and image generation technologies not only reflects his capabilities as an inventor but also points to the future of enhanced visual interactions. As technology continues to evolve, Collomosse's contributions will undoubtedly play a crucial role in shaping the landscape of digital content discovery and generation.

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