About

Anurag Singh is a highly skilled computer scientist with a passion for research in the fields of computer vision and machine learning theory. With a focus on applying his knowledge to solve complex problems in computer science, Anurag is currently pursuing his MS in Computer Science at the Technical University of Munich, Germany, following a BEng in Computer Science from Netaji Subhas Institute of Technology, University of Delhi, India. Anurag has gained invaluable experience through his work as a Research Fellow at the Indian Institute of Science, where he worked on learning with limited data, zero-shot retrieval, and adapting to new domains. His work has resulted in the development of several outcomes, including the Style guide: Zero-shot sketch-based image retrieval using style-guided image generation, which was published in IEEE Transactions on Multimedia. Anurag has also contributed as a reviewer for WACV 2021 and WACV 2022. Anurag's experience also includes working as a Software Engineer at NatWest, where he was involved in developing open-set face recognition systems for access management and payments. Currently, Anurag is working as a Student Research Assistant at Fraunhofer IKS, where he is conducting research on Out of Distribution Detection. Anurag's technical skills include expertise in research, machine learning, computer vision, dotNET, and software engineering. With 3.78 years of relevant experience, Anurag is a highly motivated and skilled professional who is committed to achieving exceptional results in his work. He is always seeking new challenges and opportunities to develop his skills further and contribute to the field of computer science.