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20152023
most citedPrediction of Thrombectomy Functional Outcomes using Multimodal Data

23 citations · 87 across the 24 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.CV2018★ 2 cited

CaloriNet: From silhouettes to calorie estimation in private environments

Alessandro Masullo, Tilo Burghardt, Dima Damen +3

We propose a novel deep fusion architecture, CaloriNet, for the online estimation of energy expenditure for free living monitoring in private environments, where RGB data is discar…

cs.CV2018★ 1 cited

Semantically Selective Augmentation for Deep Compact Person Re-Identification

Víctor Ponce-López, Tilo Burghardt, Sion Hannunna +3

We present a deep person re-identification approach that combines semantically selective, deep data augmentation with clustering-based network compression to generate high performa…

cs.CV2018

HGR-Net: A Fusion Network for Hand Gesture Segmentation and Recognition

Amirhossein Dadashzadeh, Alireza Tavakoli Targhi, Maryam Tahmasbi +1

We propose a two-stage convolutional neural network (CNN) architecture for robust recognition of hand gestures, called HGR-Net, where the first stage performs accurate semantic seg…

cs.OH2018★ 2 cited

A Guide to the SPHERE 100 Homes Study Dataset

Atis Elsts, Tilo Burghardt, Dallan Byrne +18

The SPHERE project has developed a multi-modal sensor platform for health and behavior monitoring in residential environments. So far, the SPHERE platform has been deployed for dat…

cs.CV2018★ 7 cited

Action Completion: A Temporal Model for Moment Detection

Farnoosh Heidarivincheh, Majid Mirmehdi, Dima Damen

We introduce completion moment detection for actions - the problem of locating the moment of completion, when the action's goal is confidently considered achieved. The paper propos…