Ankan Bansal

Title: Ankan Bansal: Innovator in Zero-Shot Object Detection

Introduction

Ankan Bansal is a prominent inventor based in College Park, MD (US). He has made significant contributions to the field of object detection, particularly through his innovative methods and systems. With a total of 2 patents, Bansal is recognized for his work that enhances the capabilities of machine learning in identifying objects.

Latest Patents

One of Ankan Bansal's latest patents focuses on zero-shot object detection. This method, apparatus, and system involve a semantic embedding space that contains embedded object class labels. The process begins by training the space through the embedding of extracted features from bounding boxes and object class labels of known object classes. It then determines regions in an image that contain unknown object classes, proposing bounding boxes for detection. Features of these proposed bounding boxes are extracted and projected into the semantic space. A similarity measure is computed between the projected features and the embedded features of known object classes. Finally, an object class label is predicted for the proposed bounding boxes by identifying the nearest embedded object class label based on the similarity measures.

Career Highlights

Ankan Bansal is currently employed at SRI International, where he continues to develop innovative solutions in the realm of object detection. His work is instrumental in advancing the understanding and application of machine learning technologies.

Collaborations

Ankan collaborates with notable colleagues such as Karan Sikka and Ajay Divakaran. Their combined expertise contributes to the innovative projects at SRI International.

Conclusion

Ankan Bansal is a key figure in the field of zero-shot object detection, with a focus on enhancing machine learning applications. His contributions through patents and collaborations reflect his commitment to innovation and technological advancement.