4 papers
Team VI-I2R Technical Report on EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2022
Yi Cheng, Dongyun Lin, Fen Fang +3
In this report, we present the technical details of our submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation (UDA) Challenge for Action Recognition 2022. This task ai…
Visuo-Tactile Manipulation Planning Using Reinforcement Learning with Affordance Representation
Wenyu Liang, Fen Fang, Cihan Acar +4
Robots are increasingly expected to manipulate objects in ever more unstructured environments where the object properties have high perceptual uncertainty from any single sensory m…
TAILOR: Teaching with Active and Incremental Learning for Object Registration
Qianli Xu, Nicolas Gauthier, Wenyu Liang +6
When deploying a robot to a new task, one often has to train it to detect novel objects, which is time-consuming and labor-intensive. We present TAILOR -- a method and system for o…
Eye-2-I: Eye-tracking for just-in-time implicit user profiling
Keng-Teck Ma, Qianli Xu, Liyuan Li +3
For many applications, such as targeted advertising and content recommendation, knowing users' traits and interests is a prerequisite. User profiling is a helpful approach for this…