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Philipp Hofer
Philipp Hofer
Johannes Kepler University, Institute of Networks and Security
Verified email at ins.jku.at
Title
Cited by
Cited by
Year
Importance of different facial parts for face detection networks
P Hofer, M Roland, P Schwarz, M Schwaighofer, R Mayrhofer
2021 IEEE International Workshop on Biometrics and Forensics (IWBF), 1-6, 2021
162021
Gait recognition with densePose energy images
P Schwarz, J Scharinger, P Hofer
International Conference on Systems, Signals and Image Processing, 65-70, 2021
22021
Efficient aggregation of face embeddings for decentralized face recognition deployments (extended version)
P Hofer, M Roland, P Schwarz, R Mayrhofer
arXiv preprint arXiv:2212.10108, 2022
12022
Face to Face with Efficiency: Real-Time Face Recognition Pipelines on Embedded Devices
P Hofer, M Roland, P Schwarz, R Mayrhofer
International Conference on Advances in Mobile Computing and Multimedia …, 2023
2023
Efficient Aggregation of Face Embeddings for Decentralized Face Recognition Deployments.
P Hofer, M Roland, P Schwarz, R Mayrhofer
ICISSP, 279-286, 2023
2023
Gait Recognition Using 3D View-Transformation Model
P Schwarz, P Hofer, J Scharinger
International Conference on Computer Aided Systems Theory, 452-459, 2022
2022
Optimizing Distributed Face Recognition Systems through Efficient Aggregation of Facial Embeddings. Advances in Artificial Intelligence and Machine Learning 2023; 3 (1): 46
P Hofer
pattern recognition 5202, 5211, 2020
2020
Gait recognition using neural networks/Author Philipp Hofer
P Hofer
Universität Linz, 2020
2020
Gait Recognition with DensePose Energy Images
P Hofer
Large-Scale Temporal Aggregation Using MapReduce
P Hofer, J Gamper
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Articles 1–10