Swaroop Adrashyappanamath

Background

About Swaroop Adrashyappanamath

I am an ambitious and skilled professional with expertise in computer vision, image processing, and machine learning. With a strong educational background in Electronics and Communication Engineering, I have successfully completed several projects and achieved notable recognition for my work. My experience includes developing innovative solutions for various challenges, such as flare removal in low-light conditions and enhancement of videos captured in challenging lighting environments.One of my significant contributions is the proposal of DeFlare-Net, a cutting-edge system that effectively detects and removes flares. This solution incorporates a Light Source Detection module for identifying light sources and a Flare Removal Network to eliminate unwanted flares. The success of DeFlare-Net has been acknowledged globally, ranking 8th in the prestigious MIPI conference in 2023.In addition to my project work, I have a strong set of technical skills, including programming proficiency in C, C++, Python, and ARM. I am well-versed in computer vision techniques, machine learning algorithms, and image processing methodologies. This knowledge has allowed me to excel in various domains, ensuring the development of high-quality solutions.Throughout my academic journey, I have maintained outstanding academic performance, securing an impressive 89% in the 10th board exams and 85% in the 12th board exams. I pursued my Bachelor's degree in Electronics and Communication Engineering from KLE Technological University, where I achieved a commendable CGPA of 8.41.During my career, I have also showcased my adaptability and strong leadership skills by managing projects and demonstrating effective project management. I am detail-oriented and possess excellent problem-solving abilities, allowing me to tackle complex challenges with ease.Furthermore, I have successfully completed an internship at IIT-Delhi, where I contributed to the field of computer vision by working on projects related to fundamental matrix estimation and depth estimation in stereo images. I have also contributed to the domain of document analysis through the application of the homography method.In recognition of my achievements, my paper on "DeFlare-Net: Flare Detection and Removal Network" has been accepted for the 10th International Conference on Pattern Recognition and Machine Intelligence (PReMI) in 2023.I am a motivated team player with strong communication and management skills. My ability to effectively collaborate and lead teams has been crucial in achieving successful project outcomes.