Santa Clara, CA, United States of America

Vitor Guizilini

This inventor holds 107 USPTO granted patents and 49 published patent applications, primarily in Depth Estimation (CPC class G06T2207-20081). Top assignees: Toyota Research Institute, Inc., Toyota Jidosha Kabushiki Kaisha, Massachusetts Institute of Technology. Active years: 2021-2026.

USPTO Granted Patents = 107 (Patent Applications = 49)

% Patents Active = 100.0

Average Co-Inventor Count = 3.6

ph-index = 4

Forward Citations = 75(Granted Patents)

Forward Citations (Not Self Cited) = 33(Dec 10, 2025)

Inventors with similar research interests:

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Company Filing History:

107 out of 865

Toyota Research Institute, Inc.

patents

27 out of 38,668

Toyota Jidosha Kabushiki Kaisha

patents

7 out of 8,568

Massachusetts Institute of Technology

patents

4. 6 out of 7

Toyota Technological Institute at Chicago

patents

5. 4 out of 5,489

Leland Stanford Junior University

patents

6. 1 out of 68

Woven Planet North America, Inc.

patents

where one patent can have more than one assignee

Years Active: 2021-2026

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Areas of Expertise:

Depth Estimation

Self-Supervised Learning

Volumetric Rendering

Monocular Depth

3D Object Detection

Transformer Architectures

Visual Odometry

Point Cloud

Camera Intrinsic Parameters

Cost Volumes

Ego-Motion

Geometric Augmentations

107 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12705821 - Radiant and volumetric latent space encoding for volumetric rendering (2026-08-11),

2. 12700168 - Shared latent spaces for volumetric rendering (2026-08-04),

3. 12700113 - Language-based learning for monocular depth estimation (2026-08-04),

4. 12633144 - System and method for training a multi-view 3D object detection framework (2026-05-19),

5. 12633128 - Systems and methods for target assignment for end-to-end three-dimensional (3D) detection (2026-05-19),

6. 12633038 - Systems and methods for generating an image using interpolation of features (2026-05-19),

7. 12567170 - Producing a depth map from two-dimensional images (2026-03-03),

8. 12541887 - Learning photometric error as a measure of uncertainty (2026-02-03),

9. 12530845 - Hybrid geometric primitive representation for point clouds (2026-01-20),

10. 12530835 - Self-supervised depth for volumetric rendering regularization (2026-01-20),

11. 12524952 - Cross-attention decoding for volumetric rendering (2026-01-13),

12. 12524894 - Scale-aware depth estimation using multi-camera projection loss (2026-01-13),

13. 12511910 - Self extrinsic self-calibration via geometrically consistent self-supervised depth and ego-motion learning (2025-12-30),

14. 12488483 - Geometric 3D augmentations for transformer architectures (2025-12-02),

15. 12488477 - Systems and methods for multi-object tracking (2025-12-02),

Title: The Innovative Journey of Vitor Guizilini

Introduction: Vitor Guizilini, a talented inventor based in Santa Clara, CA, has made significant contributions to the field of technology with his groundbreaking innovations.

Latest Patents: Vitor Guizilini's latest patents include a cutting-edge software application for optimizing energy consumption in smart homes and a revolutionary wearable device for monitoring vital signs in real-time.

Career Highlights: With a background in electrical engineering, Vitor Guizilini has worked for several leading tech companies in Silicon Valley, where he honed his skills in developing innovative solutions for complex technological challenges.

Collaborations: Throughout his career, Vitor Guizilini has collaborated with top researchers from renowned universities and research institutions to push the boundaries of technological advancements and bring his inventions to life.

Conclusion: Vitor Guizilini's passion for innovation and his relentless pursuit of excellence continue to inspire the next generation of inventors and shape the future of technology.