Columbus, OH, United States of America

Qianli Feng

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.4

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):Explore Patents

Title: Innovative Techniques in Synthetic Image Generation: The Work of Qianli Feng

Introduction: Qianli Feng is an accomplished inventor based in Columbus, OH, recognized for his contributions to the field of synthetic image generation. With a focus on developing techniques that enable the creation of photorealistic synthetic image data, Feng's work illustrates the intersection of technology and creativity. His innovative approach has earned him a patent that reflects the significance of his contributions to the technological landscape.

Latest Patents: Qianli Feng holds a patent for the generation of synthetic image data. The patent outlines techniques for generating photorealistic synthetic images through a novel process. This involves the use of a generator network to create initial synthetic image data, which is then analyzed by two separate discriminator networks. These networks assess different portions of the synthetic data to determine whether they are artificially generated or not. The generator network adjusts its outputs based on the feedback received from the discriminator networks, leading to continual improvement in the quality of the synthetic images produced.

Career Highlights: Feng is currently employed at Amazon Technologies, Inc., where he leverages his expertise in artificial intelligence and image processing. His role involves not only the development of cutting-edge technologies but also the exploration of new applications of synthetic data in various domains. His patent is a testament to his innovative mindset and technical skills in the rapidly evolving field of image synthesis.

Collaborations: Throughout his career, Qianli Feng has worked alongside talented professionals like Aleix Margarit Martinez and Raghu Deep Gadde. These collaborations have contributed to a dynamic work environment that fosters creativity and innovation in technology, allowing for the successful exploration and implementation of advanced techniques in synthetic image generation.

Conclusion: Qianli Feng’s contributions to the field of synthetic image generation stand as a remarkable example of how innovation can reshape our understanding of technology. His patent reflects his expertise and commitment to advancing this area, while his collaborative efforts with peers highlight the importance of teamwork in achieving groundbreaking advancements. As technology continues to evolve, Feng's work will undoubtedly play a significant role in shaping the future of synthetic image data generation.

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