Valentin Radu
TitleCited byYear
HiMLoc: Indoor Smartphone Localization via Activity Aware Pedestrian Dead Reckoning with Selective Crowdsourced WiFi Fingerprinting
V Radu, MK Marina
Proceedings of the International Conference on Indoor Positioning and Indoor …, 2013
912013
A Semi-supervised Learning Approach for Robust Indoor-outdoor Detection with Smartphones
V Radu, P Katsikouli, R Sarkar, MK Marina
Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems …, 2014
872014
Towards Multimodal Deep Learning for Activity Recognition on Mobile Devices
V Radu, ND Lane, S Bhattacharya, C Mascolo, MK Marina, F Kawsar
Proceedings of the International Conference on Pervasive and Ubiquitous …, 2016
612016
Pazl: A Mobile Crowdsensing Based Indoor WiFi Monitoring System
V Radu, L Kriara, MK Marina
Proceedings of the 9th International Conference on Network and Service …, 2013
432013
Multimodal Deep Learning for Activity and Context Recognition
V Radu, C Tong, S Bhattacharya, ND Lane, C Mascolo, MK Marina, ...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018
372018
Impact of Indoor-outdoor Context on Crowdsourcing Based Mobile Coverage Analysis
MK Marina, V Radu, K Balampekos
Proceedings of the 5th Workshop on All Things Cellular: Operations …, 2015
112015
Poster: Am I indoor or outdoor?
V Radu, P Katsikouli, R Sarkar, MK Marina
Proceedings of the 20th annual international conference on Mobile computing …, 2014
92014
Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks
J Turner, J Cano, V Radu, EJ Crowley, M O’Boyle, A Storkey
2018 IEEE International Symposium on Workload Characterization (IISWC), 101-110, 2018
82018
Poster: A Hybrid Approach for Indoor Mobile Phone Localization
V Radu, J Li, L Kriara, MK Marina, R Mortier
Proceedings of the 10th international conference on Mobile systems …, 2012
62012
Vision2Sensor: Knowledge Transfer Across Sensing Modalities for Human Activity Recognition
V Radu, M Henne
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019
12019
Distilling with Performance Enhanced Students
J Turner, EJ Crowley, V Radu, J Cano, A Storkey, M O’Boyle
stat 1050, 7, 2019
12019
A hybrid approach for indoor mobile phone localization
V Radu, J Li, L Kriara, MK Marina, R Mortier
environments 1, 2, 2012
12012
Indoor localization of mobile devices for wireless networks monitoring system based on Pedestrian Dead Reckoning
V Radu
1
CamLoc: Pedestrian Location Estimation through Body Pose Estimation on Smart Cameras
A Cosma, IE Radoi, V Radu
Proceedings of the International Conference on Indoor Positioning and Indoor …, 2019
2019
Concurrent Deep Neural Network Tasks on Constrained Devices
V Radu, Y Wen
UK Mobile, Wearable and Ubiquitous Systems Research Symposium (MobiUK), 2019
2019
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs
V Radu, K Kaszyk, Y Wen, J Turner, J Cano, EJ Crowley, B Franke, ...
IEEE International Symposium on Workload Characterization (IISWC), 2019
2019
CamLoc: Pedestrian Location Detection from Pose Estimation on Resource-constrained Smart-cameras
A Cosma, IE Radoi, V Radu
arXiv preprint arXiv:1812.11209, 2018
2018
HAKD: Hardware Aware Knowledge Distillation
J Turner, EJ Crowley, V Radu, J Cano, A Storkey, M O'Boyle
arXiv preprint arXiv:1810.10460, 2018
2018
Accelerating Deep Convolutional Neural Networks on Low Power Embedded Devices
J Cano, J Turner, V Radu, M O'Boyle
Arm Research Summit, 2018
2018
End-to-End Machine Learning for Smartphone-based Indoor Localisation and Tracking using Recurrent Neural Networks
X Wei, V Radu
UK Mobile, Wearable and Ubiquitous Systems Research Symposium (MobiUK), 2018
2018
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Articles 1–20