Felix Kuhnke

Orcid: 0000-0002-3003-6755

Affiliations:
  • University of Hannover, Germany


According to our database1, Felix Kuhnke authored at least 11 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Distribution-Aware Multi-Label FixMatch for Semi-Supervised Learning on CheXpert.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Domain Adaptation for Head Pose Estimation Using Relative Pose Consistency.
IEEE Trans. Biom. Behav. Identity Sci., July, 2023

Unsupervised domain adaptation for real-world head pose estimation from synthetic data.
PhD thesis, 2023

2022
A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Relative Pose Consistency for Semi-Supervised Head Pose Estimation.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

2020
Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Two-Stream Aural-Visual Affect Analysis in the Wild.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

2019
Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous Label Spaces.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Unsupervised Features for Facial Expression Intensity Estimation Over Time.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Projective structure from facial motion.
Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

Visual speech synthesis from 3D mesh sequences driven by combined speech features.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017


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