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ORCIDHao Shen 0002
Person information
- affiliation: Fortiss GmbH, Munich
- affiliation: Technical University of Munich, Munich, Germany
Other persons with the same name
- Hao Shen — disambiguation page
- Hao Shen 0001
![[0000-0001-7024-6573]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7024-6573")
— Anhui University of Technology, School of Electrical and Information Engineering, Ma'anshan, China - Hao Shen 0003 — Huazhong University of Science and Technology, Tongji Medical College, Wuhan, China
- Hao Shen 0004 — North China Electric Power University, Department of Electric Engineering, Baoding, China
- Hao Shen 0005 — Communication University of China, Beijing, China
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Journal Articles
- 2022
[j17]Yong Wang, Xian Wei, Xuan Tang, Hao Shen, Huanlong Zhang:
Adaptive Fusion CNN Features for RGBT Object Tracking. IEEE Trans. Intell. Transp. Syst. 23(7): 7831-7840 (2022)- 2021
- [j16]Yong Wang, Xian Wei, Hao Shen, Jilin Hu, Lingkun Luo:
Performance evaluation of low resolution visual tracking for unmanned aerial vehicles. Neural Comput. Appl. 33(7): 2229-2248 (2021) - [j15]Jianzhang Zheng, Xuan Tang, Xian Wei, Hao Shen, Lijun Zhao:
Channel Assignment for Hybrid NOMA Systems With Deep Reinforcement Learning. IEEE Wirel. Commun. Lett. 10(7): 1370-1374 (2021) - 2020
- [j14]Yong Wang, Xian Wei, Hao Shen, Lu Ding, Jiuqing Wan:
Robust fusion for RGB-D tracking using CNN features. Appl. Soft Comput. 92: 106302 (2020) - [j13]Yong Wang, Xian Wei, Xuan Tang, Hao Shen, Lu Ding:
CNN tracking based on data augmentation. Knowl. Based Syst. 194: 105594 (2020) - [j12]Xian Wei, Hao Shen, Martin Kleinsteuber:
Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations. IEEE Trans. Pattern Anal. Mach. Intell. 42(12): 3119-3135 (2020) - [j11]Yong Wang, Xian Wei, Hao Shen, Xuan Tang, Hui Yu:
Adaptive model updating for robust object tracking. Signal Process. Image Commun. 80 (2020) - 2019
- [j10]Xian Wei, Hao Shen, Yuanxiang Li, Xuan Tang, Fengxiang Wang, Martin Kleinsteuber, Yi Lu Murphey:
Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning. IEEE Trans. Neural Networks Learn. Syst. 30(1): 175-189 (2019) - 2017
- [j9]Xian Wei, Yuanxiang Li, Hao Shen, Weidong Xiang, Yi Lu Murphey:
Joint learning sparsifying linear transformation for low-resolution image synthesis and recognition. Pattern Recognit. 66: 412-424 (2017) - [j8]Xian Wei, Yuanxiang Li, Hao Shen, Fang Chen, Martin Kleinsteuber, Zhongfeng Wang:
Dynamical Textures Modeling via Joint Video Dictionary Learning. IEEE Trans. Image Process. 26(6): 2929-2943 (2017) - 2014
- [j7]Gilles Chabriel, Martin Kleinsteuber, Eric Moreau, Hao Shen, Petr Tichavský, Arie Yeredor:
Joint Matrices Decompositions and Blind Source Separation: A survey of methods, identification, and applications. IEEE Signal Process. Mag. 31(3): 34-43 (2014) - 2013
- [j6]Knut Hüper, Martin Kleinsteuber, Hao Shen:
Averaging complex subspaces via a Karcher mean approach. Signal Process. 93(2): 459-467 (2013) - [j5]Martin Kleinsteuber, Hao Shen:
Uniqueness Analysis of Non-Unitary Matrix Joint Diagonalization. IEEE Trans. Signal Process. 61(7): 1786-1796 (2013) - 2012
- [j4]Hao Shen, Martin Kleinsteuber:
Non-Unitary Matrix Joint Diagonalization for Complex Independent Vector Analysis. EURASIP J. Adv. Signal Process. 2012: 241 (2012) - [j3]Martin Kleinsteuber, Hao Shen:
Blind Source Separation With Compressively Sensed Linear Mixtures. IEEE Signal Process. Lett. 19(2): 107-110 (2012) - 2011
- [j2]Christian Keimel, Martin Rothbucher, Hao Shen, Klaus Diepold:
Video is a Cube. IEEE Signal Process. Mag. 28(6): 41-49 (2011) - 2008
- [j1]Hao Shen, Martin Kleinsteuber, Knut Hüper:
Local Convergence Analysis of FastICA and Related Algorithms. IEEE Trans. Neural Networks 19(6): 1022-1032 (2008)
Conference and Workshop Papers
- 2023
- [c26]Adrien Wantiez, Tianming Qiu, Stefan Matthes, Hao Shen:
Scene Understanding for Autonomous Driving Using Visual Question Answering. IJCNN 2023: 1-7 - [c25]Stefan Matthes, Zhiwei Han, Hao Shen:
Towards a Unified Framework of Contrastive Learning for Disentangled Representations. NeurIPS 2023 - [c24]Hai Lan, Xihao Wang, Hao Shen, Peidong Liang, Xian Wei:
Couplformer: Rethinking Vision Transformer with Coupling Attention. WACV 2023: 6464-6473 - 2022
- [c23]Xihao Wang, Hao Shen, Hui Yu, Jielong Guo, Xian Wei:
Hand and Arm Gesture-based Human-Robot Interaction: A Review. ICACS 2022: 12:1-12:7 - [c22]Ming Gui, Tianming Qiu, Fridolin Bauer, Hao Shen:
Laplace Approximation for Real-Time Uncertainty Estimation in Object Detection. ITSC 2022: 409-415 - [c21]Muhammad Umer Anwaar, Zhiwei Han, Shyam Arumugaswamy, Rayyan Ahmad Khan, Thomas Weber, Tianming Qiu, Hao Shen, Yuanting Liu, Martin Kleinsteuber:
On Leveraging the Metapath and Entity Aware Subgraphs for Recommendation. MCFR@MM 2022: 3-10 - [c20]Tianming Qiu, Ming Gui, Cheng Yan, Ziqing Zhao, Hao Shen:
SVIT: Hybrid Vision Transformer Models with Scattering Transform. MLSP 2022: 1-6 - 2021
- [c19]Alexander Sagel, Julian Wörmann, Hao Shen:
Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces. ICASSP 2021: 3755-3759 - 2020
- [c18]Alexander Sagel, Hao Shen:
Dynamic Variational Autoencoders for Visual Process Modeling. ICASSP 2020: 3677-3681 - 2017
- [c17]Martin Gottwald, Dominik Meyer, Hao Shen, Klaus Diepold:
Learning to walk with prior knowledge. AIM 2017: 1369-1374 - 2016
- [c16]Xian Wei, Hao Shen, Martin Kleinsteuber:
Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations. CVPR 2016: 5268-5277 - [c15]Xian Wei, Yuanxiang Li, Hao Shen, Martin Kleinsteuber, Yi Lu Murphey:
Joint learning dictionary and discriminative features for high dimensional data. ICPR 2016: 366-371 - 2015
- [c14]Martin Kleinsteuber, Hao Shen:
Block-Jacobi Methods with Newton-Steps and Non-unitary Joint Matrix Diagonalization. GSI 2015: 476-483 - [c13]Xian Wei, Martin Kleinsteuber, Hao Shen:
Invertible Nonlinear Dimensionality Reduction via Joint Dictionary Learning. LVA/ICA 2015: 279-286 - [c12]Hao Shen, Martin Kleinsteuber:
A Block-Jacobi Algorithm for Non-Symmetric Joint Diagonalization of Matrices. LVA/ICA 2015: 320-327 - [c11]Alexander Sagel, Dominik Meyer, Hao Shen:
Texture Retrieval Using Scattering Coefficients and Probability Product Kernels. LVA/ICA 2015: 506-513 - 2014
- [c10]Xian Wei, Hao Shen, Martin Kleinsteuber:
An adaptive dictionary learning approach for modeling dynamical textures. ICASSP 2014: 3567-3571 - 2013
- [c9]Martin Kleinsteuber, Hao Shen:
A Geometric Framework for Non-Unitary Joint Diagonalization of Complex Symmetric Matrices. GSI 2013: 353-360 - [c8]Hao Shen, Martin Kleinsteuber, Cagdas Bilen, Rémi Gribonval:
A conjugate gradient algorithm for blind sensor calibration in sparse recovery. MLSP 2013: 1-5 - 2012
- [c7]Hao Shen, Martin Kleinsteuber:
A Matrix Joint Diagonalization Approach for Complex Independent Vector Analysis. LVA/ICA 2012: 66-73 - [c6]Hao Shen, Martin Kleinsteuber:
Algebraic Solutions to Complex Blind Source Separation. LVA/ICA 2012: 74-81 - [c5]Martin Rothbucher, Marko Durkovic, Tim Habigt, Hao Shen, Klaus Diepold:
HRTF-based localization and separation of multiple sound sources. RO-MAN 2012: 1092-1096 - 2010
- [c4]Martin Rothbucher, Marko Durkovic, Hao Shen, Klaus Diepold:
HRTF customization using multiway array analysis. EUSIPCO 2010: 229-233 - [c3]Hao Shen, Martin Kleinsteuber:
Complex Blind Source Separation via Simultaneous Strong Uncorrelating Transform. LVA/ICA 2010: 287-294 - 2009
- [c2]Hao Shen, Knut Hüper:
Block Jacobi-type methods for non-orthogonal joint diagonalisation. ICASSP 2009: 3285-3288 - 2007
- [c1]Hao Shen, Martin Kleinsteuber, Knut Hüper:
Efficient geometric methods for kernel density estimation based Independent Component Analysis. EUSIPCO 2007: 1711-1715
Parts in Books or Collections
- 2009
- [p1]Martin Rothbucher, Hao Shen, Klaus Diepold:
Dimensionality Reduction in HRTF by Using Multiway Array Analysis. Human Centered Robot Systems, Cognition, Interaction, Technology 2009: 103-110
Informal and Other Publications
- 2023
- [i19]Jianzhang Zheng, Hao Shen, Jian Yang, Xuan Tang, Mingsong Chen, Hui Yu, Jielong Guo, Xian Wei:
Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations. CoRR abs/2304.07686 (2023) - [i18]Stefan Matthes, Zhiwei Han, Hao Shen:
Towards a Unified Framework of Contrastive Learning for Disentangled Representations. CoRR abs/2311.04774 (2023) - 2022
- [i17]Jianzhang Zheng, Fan Yang, Hao Shen, Xuan Tang, Mingsong Chen, Liang Song, Xian Wei:
Learning from Attacks: Attacking Variational Autoencoder for Improving Image Classification. CoRR abs/2203.07027 (2022) - [i16]Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Tobias Gleißner, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels, Sebastian Houben, Tim Joseph, Niklas Keil, Johann Kelsch, Hendrik Königshof, Erwin Kraft, Leonie Kreuser, Kevin Krone, Tobias Latka, Denny Mattern, Stefan Matthes, Mohsin Munir, Moritz Nekolla, Adrian Paschke, Maximilian Alexander Pintz, Tianming Qiu, Faraz Qureishi, Syed Tahseen Raza Rizvi, Jörg Reichardt, Laura von Rüden, Stefan Rudolph, Alexander Sagel, Gerhard Schunk, Hao Shen, Hendrik Stapelbroek, Vera Stehr, Gurucharan Srinivas, Anh Tuan Tran, Abhishek Vivekanandan, Ya Wang, Florian Wasserrab, Tino Werner, Christian Wirth, Stefan Zwicklbauer:
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. CoRR abs/2205.04712 (2022) - [i15]Xihao Wang, Hao Shen, Hui Yu, Jielong Guo, Xian Wei:
Hand and Arm Gesture-based Human-Robot Interaction: A Review. CoRR abs/2209.08229 (2022) - 2021
- [i14]Alexander Sagel, Julian Wörmann, Hao Shen:
Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces. CoRR abs/2102.00841 (2021) - [i13]Martin Gottwald, Sven Gronauer, Hao Shen, Klaus Diepold:
Analysis and Optimisation of Bellman Residual Errors with Neural Function Approximation. CoRR abs/2106.08774 (2021) - 2020
- [i12]Zhiwei Han, Muhammad Umer Anwaar, Shyam Arumugaswamy, Thomas Weber, Tianming Qiu, Hao Shen, Yuanting Liu, Martin Kleinsteuber:
Metapath- and Entity-aware Graph Neural Network for Recommendation. CoRR abs/2010.11793 (2020) - [i11]Alexander Sagel, Amit Sahu, Stefan Matthes, Holger Pfeifer, Tianming Qiu, Harald Rueß, Hao Shen, Julian Wörmann:
Knowledge as Invariance - History and Perspectives of Knowledge-augmented Machine Learning. CoRR abs/2012.11406 (2020) - 2019
- [i10]Mingpan Guo, Stefan Matthes, Jiaojiao Ye, Hao Shen:
A Generative Map for Image-based Camera Localization. CoRR abs/1902.11124 (2019) - [i9]Zhiwei Han, Thomas Weber, Stefan Matthes, Yuanting Liu, Hao Shen:
Interactive Image Restoration. CoRR abs/1910.11059 (2019) - 2018
- [i8]Alexander Sagel, Hao Shen:
Linearizing Visual Processes with Convolutional Variational Autoencoders. CoRR abs/1803.07488 (2018) - [i7]Xian Wei, Hao Shen, Martin Kleinsteuber:
Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations. CoRR abs/1810.03523 (2018) - 2016
- [i6]Johannes Feldmaier, Dominik Meyer, Hao Shen, Klaus Diepold:
Monitoring and Prediction in Smart Energy Systems via Multi-timescale Nexting. CoRR abs/1607.05015 (2016) - [i5]Dominik Meyer, Hao Shen, Klaus Diepold:
ℓ1 Regularized Gradient Temporal-Difference Learning. CoRR abs/1610.01476 (2016) - 2015
- [i4]Alexander Sagel, Dominik Meyer, Hao Shen:
Texture Retrieval via the Scattering Transform. CoRR abs/1501.02655 (2015) - 2013
- [i3]Xian Wei, Hao Shen, Martin Kleinsteuber:
An Adaptive Dictionary Learning Approach for Modeling Dynamical Textures. CoRR abs/1312.5568 (2013) - 2011
- [i2]Martin Kleinsteuber, Hao Shen:
Blind Source Separation with Compressively Sensed Linear Mixtures. CoRR abs/1110.2593 (2011) - [i1]Martin Kleinsteuber, Hao Shen:
Identifiability of Complex Blind Source Separation via Non-Unitary Joint Diagonalization. CoRR abs/1111.7088 (2011)
Coauthor Index
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