6 citations · 10 across the 2 of their papers we have counts for
4 papers
Evolving Losses for Unlabeled Video Representation Learning
AJ Piergiovanni, Anelia Angelova, Michael S. Ryoo
We present a new method to learn video representations from unlabeled data. Given large-scale unlabeled video data, the objective is to benefit from such data by learning a generic…
Early Detection of Injuries in MLB Pitchers from Video
AJ Piergiovanni, Michael S. Ryoo
Injuries are a major cost in sports. Teams spend millions of dollars every year on players who are hurt and unable to play, resulting in lost games, decreased fan interest and addi…
Learning Social Affordance Grammar from Videos: Transferring Human Interactions to Human-Robot Interactions
Tianmin Shu, Xiaofeng Gao, Michael S. Ryoo +1
In this paper, we present a general framework for learning social affordance grammar as a spatiotemporal AND-OR graph (ST-AOG) from RGB-D videos of human interactions, and transfer…
Learning Social Affordance for Human-Robot Interaction
Tianmin Shu, M. S. Ryoo, Song-Chun Zhu
In this paper, we present an approach for robot learning of social affordance from human activity videos. We consider the problem in the context of human-robot interaction: Our app…