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For the Inventor, By the Inventor

Santa Clara, CA, United States of America

Vitor Guizilini

USPTO Granted Patents = 91 

Average Co-Inventor Count = 3.6

ph-index = 3

Forward Citations = 48(Granted Patents)

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


Inventors with similar research interests:


Company Filing History:

goldMedal91 out of 766 
 
Toyota Research Institute, Inc.
 patents
silverMedal13 out of 36,771 
 
Toyota Jidosha Kabushiki Kaisha
 patents
bronzeMedal4 out of 5 
 
Toyota Technological Institute at Chicago
 patents
4. 3 out of 5,313 
 
Leland Stanford Junior University
 patents
5. 2 out of 8,396 
 
Massachusetts Institute of Technology
 patents
6. 1 out of 68 
 
Woven Planet North America, Inc.
 patents
where one patent can have more than one assignee

Years Active: 2021-2025

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Areas of Expertise:
Depth Estimation
Self-Supervised Learning
Monocular Object Detection
Neural Networks
Transformer Architectures
Visual Odometry
3D Scene Reconstruction
Camera Intrinsic Parameters
Ego-Motion Estimation
Keypoint Matching
Sparse Radar Supervision
Cost Volume Estimation
91 patents (USPTO):Explore Patents
1. 12488483 - Geometric 3D augmentations for transformer architectures (2025-12-02),
2. 12430840 - Systems and methods for depth synthesis with transformer architectures (2025-09-30),
3. 12428022 - Photometric masks for self-supervised depth learning (2025-09-30),
4. 12397817 - Representation learning for object detection from unlabeled point cloud sequences (2025-08-26),
5. 12387503 - Adversarial object-aware neural scene rendering for 3D object detection (2025-08-12),
6. 12380582 - Warping depth features for depth estimation (2025-08-05),
7. 12361575 - Depth estimation with sparse range sensor depth and uncertainty projection (2025-07-15),
8. 12347125 - Using histograms for self-supervised depth estimation (2025-07-01),
9. 12340530 - Photometric cost volumes for self-supervised depth estimation (2025-06-24),
10. 12333750 - Systems and methods for generic visual odometry using learned features via neural camera models (2025-06-17),
11. 12333744 - Scale-aware self-supervised monocular depth with sparse radar supervision (2025-06-17),
12. 12315271 - Monocular object detection via end-to-end differentiable pipeline (2025-05-27),
13. 12307695 - System and method for self-supervised monocular ground-plane extraction (2025-05-20),
14. 12307694 - Self-supervised monocular depth estimation via rigid-motion embeddings (2025-05-20),
15. 12299914 - Self-supervised training from a teacher network for cost volume based depth estimates (2025-05-13),

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.

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