Aniruddha Mahapatra

Title: Aniruddha Mahapatra: Innovator in Image Processing Technologies

Introduction

Aniruddha Mahapatra is a notable inventor based in Kolkata, India. He has made significant contributions to the field of image processing, particularly in the areas of semantically-aware image extrapolation and machine learning-based animation of still images. With a total of 4 patents to his name, Mahapatra continues to push the boundaries of technology.

Latest Patents

One of his latest patents is focused on semantically-aware image extrapolation. This innovation 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, which includes both instances from the original image and those that will appear in an outpainted region. This method ensures semantic continuity by applying characteristics from the input image to the extrapolated area.

Another significant patent by Mahapatra is related to machine learning-based controllable animation of still images. This system captures a still image containing a fluid element and generates a refined dense optical flow using a machine learning model. The result is a series of video frames that depict apparent motion for the fluid element, enhancing the visual experience of static images.

Career Highlights

Aniruddha Mahapatra is currently employed at Adobe, Inc., where he continues to innovate and develop cutting-edge technologies. His work at Adobe has allowed him to collaborate with other talented professionals in the field, further enhancing his contributions to image processing.

Collaborations

Some of his notable coworkers include Kuldeep Kulkarni and Soumya Dash. Their collaborative efforts have led to advancements in various projects, showcasing the power of teamwork in driving innovation.

Conclusion

Aniruddha Mahapatra is a prominent figure in the realm of image processing, with a focus on enhancing the capabilities of still images through innovative technologies. His patents reflect a deep understanding of both machine learning and image extrapolation, positioning him as a key player in the industry.