2 citations · 2 across the 5 of their papers we have counts for
5 papers
Generating Future Observations to Estimate Grasp Success in Cluttered Environments
Daniel Fernandes Gomes, Wenxuan Mou, Paolo Paoletti +1
End-to-end self-supervised models have been proposed for estimating the success of future candidate grasps and video predictive models for generating future observations. However,…
Road Surface Defect Detection -- From Image-based to Non-image-based: A Survey
Jongmin Yu, Jiaqi Jiang, Sebastiano Fichera +4
Ensuring traffic safety is crucial, which necessitates the detection and prevention of road surface defects. As a result, there has been a growing interest in the literature on the…
Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing
Jongmin Yu, Chen Bene Chi, Sebastiano Fichera +3
Road pavement detection and segmentation are critical for developing autonomous road repair systems. However, developing an instance segmentation method that simultaneously perform…
KIDS: kinematics-based (in)activity detection and segmentation in a sleep case study
Omar Elnaggar, Roselina Arelhi, Frans Coenen +3
Sleep behaviour and in-bed movements contain rich information on the neurophysiological health of people, and have a direct link to the general well-being and quality of life. Stan…
Sleep Posture One-Shot Learning Framework Using Kinematic Data Augmentation: In-Silico and In-Vivo Case Studies
Omar Elnaggar, Frans Coenen, Andrew Hopkinson +2
Sleep posture is linked to several health conditions such as nocturnal cramps and more serious musculoskeletal issues. However, in-clinic sleep assessments are often limited to vit…