Emmanuel Ameisen talks about how to bring together NLP and CV to solve common problems in both domains.
The slides from the presentation are available here.
Emmanuel discusses how Natural Language Processing and Computer Vision can be combined to solve problems that occur at the intersection of both domains, especially in the context of commercial machine learning project.
The problems include image and video captioning, image search, and reading text from videos. More complex problems that also extend into other domains of machine learning include selecting the best thumbnail from videos and generating code from sketches of websites.
Having led over 70 AI projects at Insight, Emmanuel goes over common approaches and pitfalls, and then dives deeper into some of the challenges that need to be overcome to get these models to work.
Emmanuel is the AI lead at Insight Data Science. He has years of experience going from product ideation to effective implementations. At Insight, he has led over 70 AI projects in a variety of domains, with Fellows that have gone on to join top ML teams around the country.
Previously, he implemented and scaled out predictive analytics and machine learning solutions for Local Motion and Zipcar. Emmanuel holds master’s degrees in artificial intelligence, computer engineering, and management from three of France’s top schools.
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