Hao Shen
Orcid: 0000-0003-0091-4155Affiliations:
- Fortiss GmbH, Munich
- Technical University of Munich, Munich, Germany
According to our database1,
Hao Shen
authored at least 59 papers
between 2006 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations.
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Towards a Unified Framework of Contrastive Learning for Disentangled Representations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey.
CoRR, 2022
Learning from Attacks: Attacking Variational Autoencoder for Improving Image Classification.
CoRR, 2022
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022
Proceedings of the MCFR@MM 2022: Proceedings of the 1st Workshop on Multimedia Computing towards Fashion Recommendation, 2022
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Proceedings of the 6th International Conference on Algorithms, Computing and Systems, 2022
2021
IEEE Wirel. Commun. Lett., 2021
Performance evaluation of low resolution visual tracking for unmanned aerial vehicles.
Neural Comput. Appl., 2021
Analysis and Optimisation of Bellman Residual Errors with Neural Function Approximation.
CoRR, 2021
Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Signal Process. Image Commun., 2020
Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations.
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Knowledge as Invariance - History and Perspectives of Knowledge-augmented Machine Learning.
CoRR, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
IEEE Trans. Neural Networks Learn. Syst., 2019
2018
2017
IEEE Trans. Image Process., 2017
Joint learning sparsifying linear transformation for low-resolution image synthesis and recognition.
Pattern Recognit., 2017
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2017
2016
CoRR, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Proceedings of the Latent Variable Analysis and Signal Separation, 2015
Proceedings of the Latent Variable Analysis and Signal Separation, 2015
Proceedings of the Latent Variable Analysis and Signal Separation, 2015
Proceedings of the Geometric Science of Information - Second International Conference, 2015
2014
Joint Matrices Decompositions and Blind Source Separation: A survey of methods, identification, and applications.
IEEE Signal Process. Mag., 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
IEEE Trans. Signal Process., 2013
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
A Geometric Framework for Non-Unitary Joint Diagonalization of Complex Symmetric Matrices.
Proceedings of the Geometric Science of Information - First International Conference, 2013
2012
IEEE Signal Process. Lett., 2012
EURASIP J. Adv. Signal Process., 2012
Proceedings of the 21st IEEE International Symposium on Robot and Human Interactive Communication, 2012
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
2011
Identifiability of Complex Blind Source Separation via Non-Unitary Joint Diagonalization
CoRR, 2011
2010
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
Proceedings of the 18th European Signal Processing Conference, 2010
2009
Proceedings of the IEEE International Conference on Acoustics, 2009
Proceedings of the Human Centered Robot Systems, Cognition, Interaction, Technology, 2009
2008
IEEE Trans. Neural Networks, 2008
2007
Efficient geometric methods for kernel density estimation based Independent Component Analysis.
Proceedings of the 15th European Signal Processing Conference, 2007
2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006