98 citations · 101 across the 3 of their papers we have counts for
3 papers
Learning Human Preferences Over Robot Behavior as Soft Planning Constraints
Austin Narcomey, Nathan Tsoi, Ruta Desai +1
Preference learning has long been studied in Human-Robot Interaction (HRI) in order to adapt robot behavior to specific user needs and desires. Typically, human preferences are mod…
Learning Predicates as Functions to Enable Few-shot Scene Graph Prediction
Apoorva Dornadula, Austin Narcomey, Ranjay Krishna +2
Scene graph prediction --- classifying the set of objects and predicates in a visual scene --- requires substantial training data. However, most predicates only occur a handful of…
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models
Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna +3
Generative models often use human evaluations to measure the perceived quality of their outputs. Automated metrics are noisy indirect proxies, because they rely on heuristics or pr…