Classification and Retrieval of Images

Piotr Koniusz

Currently, I am a researcher in CVRG at Data61/CSIRO (former NICTA). I am also an honorary lecturer at Australian National University (ANU). Previously, I worked as a post-doctoral researcher in the team LEAR, INRIA, France. I received my B.Sc. degree in Telecommunications and Software Engineering in 2004 from the Warsaw University of Technology, Poland, and completed my PhD degree in Computer Vision in 2013 at CVSSP, University of Surrey, UK.

My interests include visual concept detection, visual category recognition, action recognition, feature and representation learning, invariance learning, feature pooling, as well as tensor, kernel methods, linearisations, sparsity and deep learning methods.

Conference Publications

  1. Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons, P. Koniusz, A. Cherian, F. Porikli
    European Conference on Computer Vision 2016 (accepted), (Full Paper, Full Paper /ArXiv/)
  2. Sparse Coding for Third-order Super-symmetric Tensor Descriptors with Application to Texture Recognition,
    P. Koniusz, A. Cherian, Computer Vision and Pattern Recognition 2016 (accepted, spotlight>poster),
    (Full Paper, Spotlight, Poster, ANU Talk)
  3. Convolutional Kernel Networks (not related to CLARETII), Julien Mairal, Piotr Koniusz, Zaid Harchaoui, Cordelia Schmid,
    In Proc. of the Advances in Neural Information Processing Systems 2014
    (Full Paper /HAL-INRIA/)
  4. Spatial Coordinate Coding To Reduce Histogram Representations, Dominant Angle And Colour Pyramid Match,
    Piotr Koniusz, Krystian Mikolajczyk, In Proc. of the International Conference on Image Processing 2011
    (Full Paper, Talk)
  5. Soft Assignment Of Visual Words As Linear Coordinate Coding And Optimisation Of Its Reconstruction Error,
    Piotr Koniusz, Krystian Mikolajczyk, In Proc. of the International Conference on Image Processing 2011
    (Full Paper, Poster)
  6. On a Quest for Image Descriptors Based on Unsupervised Segmentation Maps,
    Piotr Koniusz, Krystian Mikolajczyk, In Proc. of the International Conference on Pattern Recognition 2010
    (Full Paper, Talk)
  7. Segmentation Based Interest Points and Evaluation of Unsupervised Image Segmentation Methods,
    Piotr Koniusz, Krystian Mikolajczyk, In Proc. of the British Machine Vision Conference 2009
    (Full Paper, Poster, Teaser)

Journal Publications

  1. Higher-order Occurrence Pooling for Bags-of-Words: Visual Concept Detection, P. Koniusz, F. Yan, P. H. Gosselin, K. Mikolajczyk,
    IEEE Transactions on Pattern Analysis and Machine Intelligence 2016 (accepted), (Full Paper)
  2. Higher-order Occurrence Pooling on Mid- and Low-level Features: Visual Concept Detection, P. Koniusz,
    F. Yan, P. H. Gosselin, K. Mikolajczyk, Technical Report 2013, (Full Paper, Full Paper /HAL-INRIA/)
  3. Comparison of Mid-Level Feature Coding Approaches And Pooling Strategies in Visual Concept Detection,
    Piotr Koniusz, Fei Yan, Krystian Mikolajczyk, Computer Vision and Image Understanding 2012
    (Full Paper, Original Draft, More Results /Pascal VOC07/, Full Paper /CVIU Version/, BibTex)
  4. Robust Multi-Speaker Tracking via Dictionary Learning and Identity Modelling, M. Barnard, P. Koniusz, W. Wang,
    J. Kittler, S. M. Naqvi, J. Chambers, IEEE Transactions on Multimedia 2013 (Full Paper /TMM Version/)
  5. A Robust and Scalable Visual Category and Action Recognition System using Kernel Discriminant Analysis
    with Spectral Regression
    , M. A. Tahir, F. Yan, P. Koniusz, M. Awais, M. Barnard, K. Mikolajczyk, A. Bouridane,
    J. Kittler, IEEE Transactions on Multimedia 2013 (Full Paper /TMM Version/)

ArXiv

  1. Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons, P. Koniusz, A. Cherian, F. Porikli
    ArXiv Preprint 2016, (Full Paper /ArXiv/)
  2. Dictionary Learning and Sparse Coding for Third-order Super-symmetric Tensors, P. Koniusz, A. Cherian,
    ArXiv Preprint 2015, (Full Paper /ArXiv/)

Latest News

  1. 14.06.2016. Beyond Covariance: Higher-order Tensor Descriptors and Applications in Computer Vision, (Slides), P. Koniusz,
    Talk at Australian National University
  2. 04.05.2015. PK listed as an Outstanding Reviewer at CVPR 2015, CVPR 2015 Awards Page
  3. 01.03.2013. Novel Image Representations for Visual Categorisation with Bag-of-Words, (Full Paper), P. Koniusz,
    PhD Dissertation (supervised by Dr. K. Mikolajczyk, reviewed by Prof. M. Bober and Prof. Theo Gevers)
  4. 05.09.2012. PK becomes a recipient of an Outstanding Reviewer Award for BMVC 2012,
    Electronic Proceedings of the British Machine Vision Conference 2012
  5. 11.09.2010. Our classification system SURREY_MK_KDA has scored the highest Mean Average Precision (MAP) of 62.15%
    (average over APs of all 9 concepts) amongst all competing approaches in the PASCAL VOC2010 Action Classification
    Teaser Challenge, Overview and results of the action classification taster challenge

Useful Links

  1. CLARET II, Legacy page for the project CLARET II
  2. NICTA, Computer Vision Research Group at NICTA a.k.a. Data61
  3. PK's home page at INRIA LEAR
  4. Image Indexing and Retrieval, Centre For Vision, Speech, and Signal Processing, University of Surrey
  5. Affine Covariant Features, Robotics Research Group, University of Oxford
  6. Feature Detectors and Descriptors, The State Of The Art and Beyond
  7. Image and Video Retrieval, The State Of The Art in Retrieval, INRIA TexMex
  8. Image and Video Classification, More References in Computer Vision, INRIA LEAR
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