Stefan von Cavallar

According to our database, Stefan von Cavallar authored at least 8 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

DeepActsNet: A deep ensemble framework combining features from face, hands, and body for action recognition.

Umar Asif, Deval Mehta, Stefan von Cavallar, Jianbin Tang, Stefan Harrer

Pattern Recognit., July, 2023

2022

Health Guardian Platform: A technology stack to accelerate discovery in Digital Health research.

Bo Wen, Vince S. Siu, Italo Buleje, Kuan Yu Hsieh, Takashi Itoh, Lukas Zimmerli, Nigel Hinds, Elif Eyigöz, Bing Dang, Stefan von Cavallar, Jeffrey L. Rogers

Proceedings of the IEEE International Conference on Digital Health, 2022

2021

Towards Automated and Marker-Less Parkinson Disease Assessment: Predicting UPDRS Scores Using Sit-Stand Videos.

Deval Mehta, Umar Asif, Tian Hao, Erhan Bilal, Stefan von Cavallar, Stefan Harrer, Jeffrey L. Rogers

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

DeepActsNet: Spatial and Motion features from Face, Hands, and Body Combined with Convolutional and Graph Networks for Improved Action Recognition.

Umar Asif, Deval Mehta, Stefan von Cavallar, Jianbin Tang, Stefan Harrer

CoRR, 2020

SSHFD: Single Shot Human Fall Detection with Occluded Joints Resilience.

Umar Asif, Stefan von Cavallar, Jianbin Tang, Stefan Harrer

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Privacy Preserving Human Fall Detection using Video Data.

Umar Asif, Benjamin S. Mashford, Stefan von Cavallar, Shivanthan A. C. Yohanandan, Subhrajit Roy, Jianbin Tang, Stefan Harrer

Proceedings of the Machine Learning for Health Workshop, 2019

2015

A Cloud-Based Infrastructure for Feedback-Driven Training and Image Recognition.

Mani Abedini, Stefan von Cavallar, Rajib Chakravorty, Matthew Davis, Rahil Garnavi

Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

2014

Spatio-temporal information and knowledge representation of disease incidence and respective intervention strategies.

Matthew Davis, Stefan von Cavallar, Kelly L. Wyres, Matthias Reumann, Martin J. Sepulveda, Priscilla Rogers

Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014