Vicente's research lies at the intersection of Computer Vision, Natural Language Processing and Machine Learning. He is especially interested in analyzing, and mining useful human insights from enormous amounts of images with associated text to improve visual recognition. He is also interested in building efficient visual recognition models that can perform high-level perceptual tasks for applications in social media, urban computing, and everyday activities. More recently, Vicent has also become involved in research on fairness and accountability in machine learning applications.