Associate Professor Heikki Huttunen, Dr.Eng.
Positions of trust:
- Pattern recognition and statistics
- Computer vision for various applications
- Signal Processing Journal Club is our
seminar on recent development in various areas of signal processing.
- 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.
- 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
- 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.
- 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.
- 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.
- Shayan Gharib, Honain Derrar, Daisuke Niizumi, Tuukka Senttula,
Janne Tommola, Toni Heittola, Tuomas Virtanen, Heikki Huttunen,
Classification: A Competition Review," MLSP
- Mir Khan, Heikki Huttunen, Jani Boutellier, "Binarized
Convolutional Neural Networks for Efficient Inference on GPUs,"
- Yue Bai, Shuvra S. Bhattacharyya, Antti P. Happonen, Heikki
Elastic Neural Networks: A Scalable Framework for Embedded
Computer Vision," EUSIPCO 2018
- 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.
- 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.
- 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
- 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.
- Heikki Huttunen, Fatemeh Shokrollahi Yancheshmeh, Ke Chen, "Car Type
Recognition with Deep Neural Networks," IEEE Intelligent Vehicles
- Giambattista Parascandolo, Heikki Huttunen, Tuomas Virtanen, "Recurrent
Neural Networks for Polyphonic Sound Event Detection in Real Life
Recordings," IEEE ICASSP 2016, March 2016.
- Heikki Huttunen, Jussi Tohka, "Model
Selection for Linear Classifiers using Bayesian Error Estimation,"
Pattern Recognition, May 2015.
- 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.
- T. Manninen, H. Huttunen, P. Ruusuvuori and M. Nykter, "Leukemia
Prediction Using Sparse Logistic Regression," PLOS ONE
e72932. August 2013. [software]
- H. Huttunen, T. Manninen and J. Tohka, "Bayesian Error
and Model Selection in Sparse Logistic
Regression," IEEE MLSP,
Southampton, UK, Sept.
- 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.
- N. Aghaeepour, G. Finak,
The FlowCAP Consortium,
The DREAM Consortium,
and R. Scheuermann, "Critical
assessment of automated flow cytometry data
analysis techniques," Nature Methods, February 2013.
- H. Huttunen, T. Manninen, J-P. Kauppi and J. Tohka, "Mind
Regularized Multinomial Logistic Regression," in Machine Vision
Applications, pp. 1-15, November 2012. [pdf] [software] [data]
- 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
Escherichia coli," Bioinformatics, Aug. 2011.
- H. Huttunen, J-P. Kauppi, J. Tohka, "Regularized logistic
mind reading with parallel validation," winning submission to ICANN2011
MEG challenge, p. 20-24, July 2011.
- H. Oinonen, H. Forsvik, P. Ruusuvuori, O. Yli-Harja, V. Voipio and
Huttunen, "Identity Verification Based on Vessel Matching from Fundus
Images," Proc. of IEEE ICIP 2010, Sept. 2010.
- Lehmussola A., Ruusuvuori P., Selinummi J., Huttunen H.,
"Computational framework for simulating fluorescence microscope images
with cell populations," IEEE Transactions on Medical Imaging,