Sep 23–26, 2019

Victor Dibia
Research Engineer, Cloudera Fast Forward Labs

Victor Dibia is a research engineer at Cloudera’s Fast Forward Labs, where his work focuses on prototyping state-of-the-art machine learning algorithms and advising clients. He’s passionate about community work and serves as a Google Developer Expert in machine learning. Previously, he was a research staff member at the IBM TJ Watson Research Center. His research interests are at the intersection of human-computer interaction, computational social science, and applied AI. He’s a senior member of IEEE and has published research papers at conferences such as AAAI Conference on Artificial Intelligence and ACM Conference on Human Factors in Computing Systems. His work has been featured in outlets such as the Wall Street Journal and VentureBeat. He holds an MS from Carnegie Mellon University and a PhD from City University of Hong Kong.

Sessions

1:15pm–1:55pm Thursday, September 26, 2019

Location: 3B - Expo Hall

Handtrack.js: Building gesture-based interactions in the browser using TensorFlow

Data Science, Machine Learning, & AI, Expo Hall

Secondary topics: Deep dive into specific tools, platforms, or frameworks, Deep Learning

Victor Dibia (Cloudera Fast Forward Labs)

Recent advances in machine learning frameworks for the browser such as TensorFlow provides the opportunity to craft truly novel experiences within frontend applications. Victor Dibia explores the state of the art for machine learning in the browser using TensorFlow and outlines its use in the design of Handtrack.js—a library for prototyping real-time hand detection in the browser. Read more.