East Palo Alto, CA, United States of America

Ruben Eduardo Villegas

This inventor holds 11 USPTO granted patents and 3 published patent applications and 1 EPO patent. Top assignees: Adobe, Inc., Nvidia Corporation. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ruben Eduardo Villegas. Retrieved from https://idiyas.com/inventor/ruben-eduardo-villegas

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

USPTO Granted Patents = 11 

% Patents Active = 100.0

 

Average Co-Inventor Count = 4.4

ph-index = 2

Forward Citations = 16(Granted Patents)


Location History:

  • San Jose, CA (US) (2022)
  • East Palo Alto, CA (US) (2021 - 2023)
  • Ann Arbor, MI (US) (2020 - 2024)

Company Filing History:


Years Active: 2020-2026

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11 patents (USPTO):Explore Patents

Title: Innovations of Ruben Eduardo Villegas

Introduction

Ruben Eduardo Villegas is a prominent inventor based in East Palo Alto, California. He has made significant contributions to the field of technology, particularly in the area of human motion analysis and retargeting. With a total of 10 patents to his name, Villegas has demonstrated a strong commitment to advancing innovation.

Latest Patents

One of his latest patents is titled "Generating human motion sequences utilizing unsupervised learning of discretized features via a neural network encoder-decoder." This invention discloses methods, systems, and non-transitory computer-readable storage media for utilizing unsupervised learning of discrete human motions to generate digital human motion sequences. The system employs an encoder of a discretized motion model to extract a sequence of latent feature representations from a human motion sequence in an unlabeled digital scene. It also determines sampling probabilities from these representations in connection with a codebook of discretized feature representations associated with human motions. The system converts the sequence of latent feature representations into a sequence of discretized feature representations by sampling from the codebook based on the sampling probabilities. Additionally, it utilizes a decoder to reconstruct a human motion sequence from the discretized feature representations, employing a reconstruction loss and a distribution loss to learn parameters of the discretized motion model.

Another notable patent is "Contact-aware retargeting of motion." This method involves a processing device that receives a request to retarget a source motion into a target object. The operations include providing the target object to a contact-aware motion retargeting neural network trained to retarget the source motion into the target object. The network generates retargeted motion for the target object based on a self-contact having a pair of input vertices. The retargeted motion is subject to motion constraints that preserve the relative location of the self-contact and prevent self-penetration of the target object.

Career Highlights

Ruben Villegas has worked with leading technology companies, including Adobe and Nvidia. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in the field of motion analysis and artificial intelligence.

Collaborations

Some of his notable coworkers include Jimei Yang and Jun Saito, who have collaborated with him on various projects, enhancing the innovation landscape in their respective fields.

Conclusion

Ruben Eduardo Villegas is a distinguished inventor

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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