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2010 - 20XX
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2008 - 2010
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2003 - 2008
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Research Interests:
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The main focus of my recent works has been on Computer Vision and particularly the following problems:
- Visual object detection/recognition
- Contextual priming in image classification and action recognition
- Spatial-aware BoFs (Bag of Features)
- Semantic image segmentation
- Content-based image classification
- Kernel-based learning methods (SVM, MKL)
- Probabilistic learning methods
I have also been working on Automatic Speech Recognition (ASR) problem during my bachelor's final project where I implemented a general toolbox for training and manipulating Hidden Markov Models (HMMs).
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Publications*:
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S. Naderi Parizi, D. Kragic
What is Spatiotemporal Extent of Human Actions?
Submitted to International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, Aug. 2010
S. Naderi Parizi, I. Laptev, A. Tavakoli Targhi
Modeling Image Context using Object Centered Grids
International Conference on Digital Image Computing: Techniques and Applications (DICTA), Melbourne, Australia,
Dec. 2009 (PDF) (PPT)
S. Naderi Parizi, A. Tavakoli Targhi, O. Aghazadeh, J.O. Eklundh
Reading Street Signs Using a Generic Structured Object Detection and Signature Recognition Approach
International Conference on Vision Application (VISAPP), Lisbon, Portugal, Feb. 2009 (PDF) (PPT)
A.S. Shahmiri, S. Naderi Parizi, M.K. Akbari
A New Error Correction Code
International Conference on Latest Advances in Networks (ICLAN), Paris, France, Dec. 2007 (PDF) (PPT)
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Journal Papers:
A. Askary, A. Masoudi-Nejad, A. Mizbani, S. Naderi Parizi, M. Purmasjedi
N4: A Precise and Highly Sensitive Promoter Predictor Using Neural Network fed by Nearest Neighbors
Accepted in journal of Genes and Genetic Systems, 2010
*Note: We have recently submitted a paper to CVPR'10, but, in order to maintain double-blind anonimity of the submission I am assumed not to list it neither here nor in my online CV.
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Teaching:
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Teacher Assistant In "Compiler Design Principles" Course, Amirkabir University of Technology, Spring 2007
Teacher Assistant In "Analysis and Design of Algorithms" Course, Amirkabir University of Technology, Spring 2007
Teacher Assistant In "Data Structures And Algorithms" Course, Amirkabir University of Technology, Fall 2007
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Projects:
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Action Recognition in Realistic Scenarios:
We extract motion features of actions as well as appearance features of scenes and make an empirical evaluation on contribution of each feature channel on recognition of human actions in realistic scenarios. Evaluations are done on HOHA2 dataset. We have also annotated the dataset by bounding boxes of actors.
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Image Classification using Semantically Decoupled BoFs:
Images are decomposed into three semantically homogineous segments. The segments are determined based on substantial similarity of image regions using a texture-transform method. This type of image decomposition helps to disambiguate contextual discriminability of BoF histograms.
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Spatial-Aware BoFs using Object Centered Grids (OCG):
Location information is incorporated into BoF framework by formation of spatial grids w.r.t. salient object(s). We show consistent improvement over the baseline approach (fixed spatial grids) on the image classification challenge of PASCAL'07 database.
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Fixed-Grid
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OCG
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Urban Place Recognition:
This project is done as a part of MOBVIS research project. In this project we propose an approach to detect street plates in an image and to automatically recognize street-names. Having a searchable map installed on your mobile phone, this project provides your mobile phone with the functionality to automatically find your exact geo-location on the map by only taking a photo of a street plate around you.
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Speech Recognition (LISSH project):
A full package of necessary tools for continuous speech recognition tasks (incl. continuous HMM).
To read more about the project and download executable files click here.
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