115 citations · 234 across the 20 of their papers we have counts for
3 papers · 1 filter
Learning To Simulate
Nataniel Ruiz, Samuel Schulter, Manmohan Chandraker
Simulation is a useful tool in situations where training data for machine learning models is costly to annotate or even hard to acquire. In this work, we propose a reinforcement le…
Learning to Localize and Align Fine-Grained Actions to Sparse Instructions
Meera Hahn, Nataniel Ruiz, Jean-Baptiste Alayrac +2
Automatic generation of textual video descriptions that are time-aligned with video content is a long-standing goal in computer vision. The task is challenging due to the difficult…
Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency
Eunji Chong, Nataniel Ruiz, Yongxin Wang +3
This paper addresses the challenging problem of estimating the general visual attention of people in images. Our proposed method is designed to work across multiple naturalistic so…