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Title: Innovations by Shayeree Sarkar in Object Detection
Introduction
Shayeree Sarkar is an accomplished inventor based in Pittsburgh, PA. He has made significant contributions to the field of object detection through his innovative methods. His work focuses on improving the efficiency of identifying images containing objects of interest from large datasets.
Latest Patents
Shayeree Sarkar holds a patent for a method titled "Fast object search based on the cocktail party effect." This patent discloses an improved technique for identifying images that contain objects of interest. The method involves mixing two or more images to create a grouped image. This grouped image is then exposed to an object detector trained on grouped images, allowing for an initial determination that the grouped image was formed from at least one image containing an object of interest. Following this, the images that formed the grouped image are analyzed using regular object detectors to classify the object of interest.
Career Highlights
Shayeree Sarkar is affiliated with Carnegie Mellon University, where he continues to advance research in object detection technologies. His work has garnered attention for its innovative approach and practical applications in various fields.
Collaborations
Shayeree has collaborated with notable colleagues, including Fangyi Chen and Marios Savvides. Their combined expertise contributes to the advancement of research in object detection and image analysis.
Conclusion
Shayeree Sarkar's contributions to the field of object detection through his innovative patent demonstrate his commitment to advancing technology. His work at Carnegie Mellon University and collaborations with esteemed colleagues further highlight his impact in this area.