Group photo

Associate Professor Heikki Huttunen, Dr.Eng.

Laboratory of Signal Processing

Tampere University

Room: TF317
Phone: +358-40-849-0799

Research interests:
Positions of trust:
Selected publications:
  1. Ke Chen, Kui Jia, Heikki Huttunen, Jiri Matas, Joni-Kristian Kämäräinen, "Cumulative attribute space regression for head pose estimation and color constancy," Pattern Recognition, March 2019.
  2. Francesca Palumbo, Timo Viitanen, Luigi Raffo, Carlo Sau, Heikki Huttunen, Jingui Li, Shuvra Bhattacharyya, Francois Christophe, Tiziana Fanni, Jarmo Takala, "An Integrated Hardware/Software Design Methodology for Signal Processing Systems," Journal of Systems Architecture, 2019
  3. Bishwo Adhikari, Jukka Peltomäki, Jussi Puura, Heikki Huttunen, "Faster Bounding Box Annotation for Object Detection in Indoor Scenes," Proceedings of European Visual Information Processing Conf. (EUVIP), Nov. 2018.
  4. Pedram Ghazi, Antti P. Happonen, Jani Boutellier, Heikki Huttunen, "Embedded Implementation of a Deep Learning Smile Detector ," Proceedings of European Visual Information Processing Conf. (EUVIP), Nov. 2018.
  5. Francesco Lomio, Ricardo Farinha, Mauri Laasonen, Heikki Huttunen, "Classification of Building Information Model (BIM) Structures with Deep Learning ," Proceedings of European Visual Information Processing Conf. (EUVIP), Nov. 2018.
  6. Shayan Gharib, Honain Derrar, Daisuke Niizumi, Tuukka Senttula, Janne Tommola, Toni Heittola, Tuomas Virtanen, Heikki Huttunen, "Acoustic Scene Classification: A Competition Review," MLSP 2018
  7. Mir Khan, Heikki Huttunen, Jani Boutellier, "Binarized Convolutional Neural Networks for Efficient Inference on GPUs," EUSIPCO 2018
  8. Yue Bai, Shuvra S. Bhattacharyya, Antti P. Happonen, Heikki Huttunen, " Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision," EUSIPCO 2018
  9. J. Boutellier, J. Wu, H. Huttunen and S.S. Bhattacharyya, "PRUNE: Dynamic and Decidable Dataflow for Signal Processing on Heterogeneous Platforms," IEEE Transactions on Signal Processing, 2018.
  10. Tiziana Fanni, Lin Li, Timo Viitanen, Carlo Sau, Renjie Xie, Francesca Palumbo, Luigi Raffo, Heikki Huttunen, Jarmo Takala, Shuvra S. Bhattacharyya, "Hardware Design Methodology using Lightweight Dataflow and Its Integration with Low Power Techniques," Journal of Systems Architecture, June 2017.
  11. Emre Cakir, Giambattista Parascandolo, Toni Heittola, Heikki Huttunen, and Tuomas Virtanen, "Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection," IEEE Trans. Audio, Speech and Language Proc., 2017
  12. Renjie Xie, Heikki Huttunen, Shuoxin Lin, Shuvra S. Bhattacharyya, Jarmo Takala, "Resource-Constrained Implementation and Optimization of a Deep Neural Network for Vehicle Classification," EUSIPCO 2016, Sept. 2016.
  13. Heikki Huttunen, Fatemeh Shokrollahi Yancheshmeh, Ke Chen, "Car Type Recognition with Deep Neural Networks," IEEE Intelligent Vehicles Symposium, June 2016.
  14. Giambattista Parascandolo, Heikki Huttunen, Tuomas Virtanen, "Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings," IEEE ICASSP 2016, March 2016.
  15. Heikki Huttunen, Jussi Tohka, "Model Selection for Linear Classifiers using Bayesian Error Estimation," Pattern Recognition, May 2015.
  16. Elaheh Moradi, Antonietta Pepe, Christian Gaser, Heikki Huttunen and Jussi Tohka, "Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects," in NeuroImage, 104(1) January 2015.
  17. T. Manninen, H. Huttunen, P. Ruusuvuori and M. Nykter, "Leukemia Prediction Using Sparse Logistic Regression," PLOS ONE 8(8): e72932. August 2013. [software]
  18. H. Huttunen, T. Manninen and J. Tohka, "Bayesian Error Estimation and Model Selection in Sparse Logistic Regression," IEEE MLSP, Southampton, UK, Sept. 2013. [software]
  19. Briggs et al., "The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment," IEEE MLSP, Southampton, UK, Sept. 2013.
  20. N. Aghaeepour, G. Finak, The FlowCAP Consortium, The DREAM Consortium, H. Hoos, T. Mosmann, R. Brinkman, R. Gottardo and R. Scheuermann, "Critical assessment of automated flow cytometry data analysis techniques," Nature Methods, February 2013.
  21. H. Huttunen, T. Manninen, J-P. Kauppi and J. Tohka, "Mind Reading with Regularized Multinomial Logistic Regression," in Machine Vision and Applications, pp. 1-15, November 2012. [pdf] [software] [data]
  22. J. Mäkelä, H. Huttunen, M. Kandhavelu, O. Yli-Harja and A.S. Ribeiro, "Automatic detection of changes in the dynamics of delayed stochastic gene networks and in vivo production of RNA molecules in Escherichia coli," Bioinformatics, Aug. 2011.
  23. H. Huttunen, J-P. Kauppi, J. Tohka, "Regularized logistic regression for mind reading with parallel validation," winning submission to ICANN2011 MEG challenge, p. 20-24, July 2011.
  24. H. Oinonen, H. Forsvik, P. Ruusuvuori, O. Yli-Harja, V. Voipio and H. Huttunen, "Identity Verification Based on Vessel Matching from Fundus Images," Proc. of IEEE ICIP 2010, Sept. 2010.
  25. Lehmussola A., Ruusuvuori P., Selinummi J., Huttunen H., Yli-Harja O. "Computational framework for simulating fluorescence microscope images with cell populations," IEEE Transactions on Medical Imaging, Jul. 2007.

Competitions: Software: