Hao Shen

Orcid: 0000-0003-0091-4155

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations.
CoRR, 2023

Couplformer: Rethinking Vision Transformer with Coupling Attention.
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

Scene Understanding for Autonomous Driving Using Visual Question Answering.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Adaptive Fusion CNN Features for RGBT Object Tracking.
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

SVIT: Hybrid Vision Transformer Models with Scattering Transform.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

On Leveraging the Metapath and Entity Aware Subgraphs for Recommendation.
Proceedings of the MCFR@MM 2022: Proceedings of the 1st Workshop on Multimedia Computing towards Fashion Recommendation, 2022

Laplace Approximation for Real-Time Uncertainty Estimation in Object Detection.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Hand and Arm Gesture-based Human-Robot Interaction: A Review.
Proceedings of the 6th International Conference on Algorithms, Computing and Systems, 2022

2021
Channel Assignment for Hybrid NOMA Systems With Deep Reinforcement Learning.
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
Adaptive model updating for robust object tracking.
Signal Process. Image Commun., 2020

Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

CNN tracking based on data augmentation.
Knowl. Based Syst., 2020

Knowledge as Invariance - History and Perspectives of Knowledge-augmented Machine Learning.
CoRR, 2020

Metapath- and Entity-aware Graph Neural Network for Recommendation.
CoRR, 2020

Robust fusion for RGB-D tracking using CNN features.
Appl. Soft Comput., 2020

Dynamic Variational Autoencoders for Visual Process Modeling.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning.
IEEE Trans. Neural Networks Learn. Syst., 2019

Interactive Image Restoration.
CoRR, 2019

A Generative Map for Image-based Camera Localization.
CoRR, 2019

2018
Linearizing Visual Processes with Convolutional Variational Autoencoders.
CoRR, 2018

2017
Dynamical Textures Modeling via Joint Video Dictionary Learning.
IEEE Trans. Image Process., 2017

Joint learning sparsifying linear transformation for low-resolution image synthesis and recognition.
Pattern Recognit., 2017

Learning to walk with prior knowledge.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2017

2016
ℓ<sub>1</sub> Regularized Gradient Temporal-Difference Learning.
CoRR, 2016

Monitoring and Prediction in Smart Energy Systems via Multi-timescale Nexting.
CoRR, 2016

Joint learning dictionary and discriminative features for high dimensional data.
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
Texture Retrieval via the Scattering Transform.
CoRR, 2015

Invertible Nonlinear Dimensionality Reduction via Joint Dictionary Learning.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

A Block-Jacobi Algorithm for Non-Symmetric Joint Diagonalization of Matrices.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Texture Retrieval Using Scattering Coefficients and Probability Product Kernels.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Block-Jacobi Methods with Newton-Steps and Non-unitary Joint Matrix Diagonalization.
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

An adaptive dictionary learning approach for modeling dynamical textures.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Uniqueness Analysis of Non-Unitary Matrix Joint Diagonalization.
IEEE Trans. Signal Process., 2013

Averaging complex subspaces via a Karcher mean approach.
Signal Process., 2013

A conjugate gradient algorithm for blind sensor calibration in sparse recovery.
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
Blind Source Separation With Compressively Sensed Linear Mixtures.
IEEE Signal Process. Lett., 2012

Non-Unitary Matrix Joint Diagonalization for Complex Independent Vector Analysis.
EURASIP J. Adv. Signal Process., 2012

HRTF-based localization and separation of multiple sound sources.
Proceedings of the 21st IEEE International Symposium on Robot and Human Interactive Communication, 2012

Algebraic Solutions to Complex Blind Source Separation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

A Matrix Joint Diagonalization Approach for Complex Independent Vector Analysis.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

2011
Video is a Cube.
IEEE Signal Process. Mag., 2011

Identifiability of Complex Blind Source Separation via Non-Unitary Joint Diagonalization
CoRR, 2011

2010
Complex Blind Source Separation via Simultaneous Strong Uncorrelating Transform.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

HRTF customization using multiway array analysis.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Block Jacobi-type methods for non-orthogonal joint diagonalisation.
Proceedings of the IEEE International Conference on Acoustics, 2009

Dimensionality Reduction in HRTF by Using Multiway Array Analysis.
Proceedings of the Human Centered Robot Systems, Cognition, Interaction, Technology, 2009

2008
Local Convergence Analysis of FastICA and Related Algorithms.
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
Newton-Like Methods for Nonparametric Independent Component Analysis.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Local Convergence Properties of Fastica and Some Generalisations.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006


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