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For the Inventor, By the Inventor

Amsterdam, Netherlands

Efstratios Gavves

This inventor holds 16 USPTO granted patents and 14 published patent applications, primarily in Video Analysis. Top assignees: Qualcomm Incorporated, Qualcomm Technologies, Inc., Other. Active years: 2017-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Efstratios Gavves. Retrieved from https://idiyas.com/inventor/efstratios-gavves

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 16 

% Patents Active = 100.0

Average Co-Inventor Count = 3.2

ph-index = 4

Forward Citations = 98(Granted Patents)


Company Filing History:

goldMedal9 out of 45,060 
 
Qualcomm Incorporated
 patents
silverMedal6 out of 163 
 
Qualcomm Technologies, Inc.
 patents
bronzeMedal1 out of 834,601 
Other
 patents

Years Active: 2017-2025

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Areas of Expertise:
Siamese Tracking
Convolutional Attention
Activity Recognition
Object Tracking
Human-Object Interaction
Bayesian Optimization
Geometric Differentials
Recurrent Neural Networks
Long-Range Activities
Metric Learning
Video Understanding
Coordinate Estimation
16 patents (USPTO):Explore Patents
1. 12380689 - Managing occlusion in Siamese tracking using structured dropouts (2025-08-05),
2. 12333811 - Permutation invariant convolution (PIC) for recognizing long-range activities, generating global representation of input streams and classifying activity based on global representation (2025-06-17),
3. 12249138 - Context-driven learning of human-object interactions (2025-03-11),
4. 11842279 - Combinatorial Bayesian optimization using a graph cartesian product (2023-12-12),
5. 11481576 - Subject-object interaction recognition model (2022-10-25),
6. 11443514 - Recognizing minutes-long activities in videos (2022-09-13),
7. 11270425 - Coordinate estimation on n-spheres with spherical regression (2022-03-08),
8. 10902615 - Hybrid and self-aware long-term object tracking (2021-01-26),
9. 10846593 - System and method for siamese instance search tracker with a recurrent neural network (2020-11-24),
10. 10733755 - Learning geometric differentials for matching 3D models to objects in a 2D image (2020-08-04),
11. 10691952 - Adapting to appearance variations when tracking a target object in video sequence (2020-06-23),
12. 10496885 - Unified embedding with metric learning for zero-exemplar event detection (2019-12-03),
13. 10438068 - Adapting to appearance variations of a target object when tracking the target object in a video sequence (2019-10-08),
14. 10049279 - Recurrent networks with motion-based attention for video understanding (2018-08-14),
15. 10019631 - Adapting to appearance variations when tracking a target object in video sequence (2018-07-10),

Title: The Innovative Journey of Efstratios Gavves

Introduction: Efstratios Gavves, a visionary inventor based in Amsterdam, NL, has made significant contributions to the world of technology through his groundbreaking inventions and patents.

Latest Patents: Efstratios Gavves holds several recent patents in the field of artificial intelligence and machine learning, revolutionizing how we interact with technology on a daily basis.

Career Highlights: With a background in computer science and engineering, Efstratios Gavves has had a distinguished career working for leading tech companies, where he honed his skills and developed his passion for innovation.

Collaborations: Throughout his career, Efstratios Gavves has collaborated with top researchers and engineers from around the globe, fostering a culture of creativity and pushing the boundaries of what is possible in the tech industry.

Conclusion: Efstratios Gavves continues to inspire the next generation of inventors with his forward-thinking approach and dedication to creating solutions that shape the future of technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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