Arlington, MA, United States of America

Dilip Krishnan

USPTO Granted Patents = 16 

 

Average Co-Inventor Count = 5.6

ph-index = 2

Forward Citations = 28(Granted Patents)


Company Filing History:


Years Active: 2020-2025

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16 patents (USPTO):Explore Patents

Title: The Innovative Mind of Dilip Krishnan: Advancements in Face Reconstruction and Image Generation

Introduction: Dilip Krishnan, an accomplished inventor based in Arlington, MA, has made significant contributions to the fields of image recognition and processing. With an impressive portfolio of 14 patents, he is recognized for his pioneering work that blends machine learning with advanced image modeling technologies. His inventions provide solutions that pave the way for cutting-edge applications in various domains.

Latest Patents: Among Dilip Krishnan's latest patents are two notable innovations. The first is titled "Face Reconstruction from a Learned Embedding." This patent describes a system that performs face reconstruction using machine-learned image recognition models and morphable models of human facial appearance. The system combines deep learning with translation models to generate accurate facial representations from uncontrolled images.

The second patent, "Image Extension Neural Networks," introduces methods and systems for generating realistic extensions of images. By employing a generative neural network trained on adversarial loss objectives, this invention takes an input image and processes it to produce an extended image that not only increases the dimensions but maintains a high level of realism.

Career Highlights: Dilip has an impressive background, having worked for renowned companies such as Google Inc. and DeepMind Technologies Limited. His experience at these technology giants has undoubtedly shaped his innovative approach and expertise in developing advanced image processing systems.

Collaborations: During his career, Dilip has collaborated with notable individuals like Forrester H. Cole and Konstantinos Bousmalis. These collaborations illustrate the synergy between leading minds in the field, enabling the creation of groundbreaking technologies that push the boundaries of what is possible in image recognition and generation.

Conclusion: Dilip Krishnan stands out as a remarkable inventor whose contributions are shaping the future of image processing and machine learning. His patents reflect a commitment to innovation and an understanding of the complexities of human facial recognition. As technology continues to evolve, Dilip's work will undoubtedly have a lasting impact on both industry and research advancements.

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