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TF-Slim: A Lightweight Library for Defining, Training and Evaluating Complex Models in TensorFlow
(Georgia Institute of Technology, 2017-09-07)
TF-Slim is a TensorFlow-based library with various components. These include modules for easily defining neural network models with few lines of code, routines for training and evaluating such models in a highly distributed ...
Perception at Magic Leap
This talk presents the importance of Computer Vision and Deep learning techniques in making Magic Leap an effective spatial computing platform. The four fundamental modalities are introduced: head pose tracking, world ...
Reasoning about Complex Media from Weak Multi-modal Supervision
In a world of abundant information targeting multiple senses, and increasingly powerful media, we need new mechanisms to model content. Techniques for representing individual channels, such as visual data or textual data, ...
Applying Emerging Technologies In Service of Journalism at The New York Times
Emerging technologies, particularly within computer vision, photogrammetry, and spatial computing, are unlocking new forms of storytelling for journalists to help people understand the world around them. In this talk, ...