Professor Maji's research spans computer vision and machine learning. He is interested in building AI systems with rich visual reasoning capabilities enabling a wide range of applications. His research includes developing architectures for visual understanding that are robust, efficient, and have the ability to learn from a few examples. His research is also interdisciplinary where he develops novel computer vision algorithms for problems in Ecology and Astronomy.