Publications (4)
Learning to Segment Liquids in Real-world Images
Jonas Li, Michelle Li, Luke Liu +2
Liquids like water, wine and medicine are everywhere. However, limited attention has been given to the task of segmenting liquids, hindering the ability of robots to safely avoid a…
A Probabilistic Graph Model for Trust Opinion Estimation in Online Social Networks
Luke Liu, Qing Yang
Trust assessment plays a key role in many online applications, such as online money lending, product reviewing and active friending. Trust models usually employ a group of paramete…
Compositional Program Generation for Few-Shot Systematic Generalization
Tim Klinger, Luke Liu, Soham Dan +3
Compositional generalization is a key ability of humans that enables us to learn new concepts from only a handful examples. Neural machine learning models, including the now ubiqui…
LaMOT: Language-Guided Multi-Object Tracking
Yunhao Li, Xiaoqiong Liu, Luke Liu +2
Vision-Language MOT is a crucial tracking problem and has drawn increasing attention recently. It aims to track objects based on human language commands, replacing the traditional…