Orissa, India

Soumya Dash


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):

Title: Soumya Dash: Innovator in Semantically-Aware Image Extrapolation

Introduction

Soumya Dash is a prominent inventor based in Orissa, India. He has made significant contributions to the field of image processing, particularly in the area of semantically-aware image extrapolation. With a total of 2 patents to his name, Dash continues to push the boundaries of innovation in technology.

Latest Patents

One of his latest patents focuses on semantically-aware image extrapolation. This invention involves segmenting an input image to create a segmentation map of object instances. An object generation network is utilized to produce an extrapolated semantic label map for an extrapolated image. This map includes instances from the original image as well as those that will appear in an outpainted region. A panoptic label map is derived from the coordinates of output instances in the extrapolated image, which helps identify partial instances and boundaries. The use of instance-aware context normalization ensures that characteristics from the input image are applied to the outpainted region, maintaining semantic continuity. The final extrapolated image comprises both the original image and the outpainted region, which can be rendered or stored for future use.

Career Highlights

Soumya Dash is currently employed at Adobe, Inc., where he leverages his expertise in image processing and innovation. His work at Adobe has allowed him to collaborate with other talented professionals in the field.

Collaborations

Some of his notable coworkers include Kuldeep Kulkarni and Hrituraj Singh. Their collaborative efforts contribute to the advancement of technology and innovation within the company.

Conclusion

Soumya Dash is a remarkable inventor whose work in semantically-aware image extrapolation showcases his innovative spirit and technical expertise. His contributions to the field are paving the way for future advancements in image processing technology.

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