Our team members Panna Felson, Sujoy Ganguly, and Patrick Lucey’s presented our paper “Where Will They Go? Predicting Fine-Grained Adversarial Multi-Agent Motion using Conditional Variational Autoencoders” at the 2018 European Conference on Computer Vision.
In our paper, we presented a technique using conditional variational auto-encoder which learns a model that “personalises” prediction to individual agent behaviour within a group representation. Given the volume of data available and its adversarial nature, we focused on the sport of basketball to show that our approach efficiently predicts context-specific agent motions. We found that our model generates results that are three times as accurate as previous state-of-the-art approaches (5.74 ft vs. 17.95 ft).
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