3 citations · 3 across the 3 of their papers we have counts for
5 papers
Vision Backbone Efficient Selection for Image Classification in Low-Data Regimes
Joris Guerin, Shray Bansal, Amirreza Shaban +2
Transfer learning has become an essential tool in modern computer vision, allowing practitioners to leverage backbones, pretrained on large datasets, to train successful models fro…
A Bayesian Framework for Nash Equilibrium Inference in Human-Robot Parallel Play
Shray Bansal, Jin Xu, Ayanna Howard +1
We consider shared workspace scenarios with humans and robots acting to achieve independent goals, termed as parallel play. We model these as general-sum games and construct a fram…
Supportive Actions for Manipulation in Human-Robot Coworker Teams
Shray Bansal, Rhys Newbury, Wesley Chan +5
The increasing presence of robots alongside humans, such as in human-robot teams in manufacturing, gives rise to research questions about the kind of behaviors people prefer in the…
Collaborative Planning for Mixed-Autonomy Lane Merging
Shray Bansal, Akansel Cosgun, Alireza Nakhaei +1
Driving is a social activity: drivers often indicate their intent to change lanes via motion cues. We consider mixed-autonomy traffic where a Human-driven Vehicle (HV) and an Auton…
One-Shot Learning for Semantic Segmentation
Amirreza Shaban, Shray Bansal, Zhen Liu +2
Low-shot learning methods for image classification support learning from sparse data. We extend these techniques to support dense semantic image segmentation. Specifically, we trai…