Classification and Retrieval of Images

Piotr Koniusz

pk.jpgI am a senior researcher in MLRG at Data61/CSIRO (former NICTA). I am also a senior 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, zero-, one- and few shot learning, domain adaptation, image-to-image translation, feature and representation learning, invariance learning and understanding, feature pooling, spectral learning and graphs, as well as tensor, kernel methods, linearisations, sparsity and deep learning methods.

Latest News

  1. 04.07.2018. Two ECCV'18 (oral ~2% acceptance rate/poster) and one BMVC'18 (spotlight ~6% acceptance rate) papers accepted.
    Congrats Yusuf Tas and Tsung-Yu Lin!
  2. 24.06.2018. I will be organising an ACCV 2018 workshop and a challenge entitled
    Museum Exhibit Identification Challenge (Open MIC) for Domain Adaptation and Few-Shot Learning
  3. 26.05.2018. PK will be serving as an Area Chair for WACV 2019, WACV'19/People
  4. 24.02.2018. Two CVPR'18 and one WACV'18 papers accepted. Congrats Fatemeh Shiri and Hongguanh Zhang!
  5. 23.10.2017. PK listed as an Outstanding Reviewer by ICCV 2017 Awards Page (23.10.2017), CVPR 2017 Awards Page (20.06.2017),
    ECCV 2016 Awards Page (21.10.2016), CVPR 2015 Awards Page (04.05.2015), and BMVC 2012 Awards Page (05.09.2012)
  6. 09.12.2016. I am organising a full-day CVPR 2017 workshop entitled Tensor Methods in Computer Vision with my colleagues
    Anoop Cherian and Fatih Porikli.
  7. 01.11.2016. I am the main advisor for three PhD students at CECS/ANU: Fatima Shiri, Yusuf Tas and Hongguang Zhang.
    I am co-supervising (second supervisor) Christian Simon with Dr. Mehrtash Harandi.
  8. 14.06.2016. Beyond Covariance: Higher-order Tensor Descriptors and Applications in Computer Vision, (Slides), P. Koniusz,
    Talk at Australian National University
  9. 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)
  10. 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

Conference Publications

  1. thumb_bmvc2018b.jpg CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps,
    Yusuf Tas, Piotr Koniusz, British Machine Vision Conference (BMVC), 2018, (Full Paper /ArXiv/, to appear, spotlight ~6% acceptance rate)
  2. thumb_eccv2018b.jpg Museum Exhibit Identification Challenge for Domain Adaptation and Beyond,
    Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Harandi, Fatih Porikli, Rui Zhang,
    European Conference on Computer Vision (ECCV), 2018, (Full Paper /ArXiv/, to appear, oral ~2% acceptance rate)
  3. thumb_eccv2018a.jpg Second-order Democratic Aggregation, Tsung-Yu Lin, Subhransu Maji, Piotr Koniusz,
    European Conference on Computer Vision (ECCV), 2018, (Full Paper /ArXiv/, to appear)
  4. thumb_cvpr2018b.jpg Zero-Shot Kernel Learning, Hongguang Zhang, Piotr Koniusz,
    Computer Vision and Pattern Recognition (CVPR), 2018, (Full Paper, Full Paper /ArXiv/)
  5. thumb_cvpr2018c.jpg A Deeper Look at Power Normalizations, Piotr Koniusz, Hongguang Zhang, Fatih Porikli,
    Computer Vision and Pattern Recognition (CVPR), 2018, (Full Paper, Full Paper /ArXiv/)
  6. thumb_wacv2018.jpg Identity-preserving Face Recovery from Portraits,
    Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard Hartley, Piotr Koniusz
    Winter Conference on Applications of Computer Vision (WACV), 2018, (Full Paper /ArXiv/)
  7. thumb_dicta2017.jpg Face Destylization, Fatemeh Shiri, Xin Yu, Piotr Koniusz, Fatih Porikli,
    The International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2017, (Full Paper /ArXiv/)
  8. thumb_cvpr2017.jpg Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors, P. Koniusz, Y. Tas, F. Porikli
    Computer Vision and Pattern Recognition (CVPR), 2017, (Full Paper, Full Paper /ArXiv/)
  9. thumb_wacv2017.jpg Higher-order Pooling of CNN Features via Kernel Linearization for Action Recognition, A. Cherian, P. Koniusz, S. Gould,
    Winter Conference on Applications of Computer Vision (WACV), 2017, (Full Paper /ArXiv/)
  10. thumb_mw2017.jpg Artwork Identification from Wearable Camera Images for Enhancing Experience of Museum Audiences,
    R. Zhang, Y. Tas, P. Koniusz, Museums and the Web (MW), 2017 (acceptance rate 25-33%), (Full Paper, Full Paper /ArXiv/)
  11. thumb_eccv2016.jpg Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons, P. Koniusz, A. Cherian, F. Porikli
    European Conference on Computer Vision 2016, (Full Paper, Full Paper /ArXiv/, Poster)
  12. thumb_cvpr2016.jpg Sparse Coding for Third-order Super-symmetric Tensor Descriptors with Application to Texture Recognition,
    P. Koniusz, A. Cherian, Computer Vision and Pattern Recognition 2016 (spotlight>poster),
    (Full Paper, Spotlight, Poster, ANU Talk)
  13. thumb_nips2014.jpg Convolutional Kernel Networks, Julien Mairal, Piotr Koniusz, Zaid Harchaoui, Cordelia Schmid,
    In Proc. of the Advances in Neural Information Processing Systems 2014 (spotlight>poster)
    (Full Paper /HAL-INRIA/)
  14. thumb_icip2011a.jpg 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)
  15. thumb_icip2011b.jpg 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)
  16. thumb_icpr2010.jpg 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)
  17. thumb_bmvc2009.jpg 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. thumb_pami2016.jpg 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. thumb_pami2013.jpg 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. thumb_cviu2012.jpg 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. thumb_tmm2013a.jpg 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. thumb_tmm2013b.jpg 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/Preprints

  1. CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps,
    Yusuf Tas, Piotr Koniusz,
    ArXiv Preprint 2018, (Full Paper /ArXiv/)
  2. Deeper Look at Power Normalizations, Piotr Koniusz, Hongguang Zhang, Fatih Porikli,
    ArXiv Preprint 2017, (Full Paper /ArXiv/)
  3. Zero-Shot Kernel Learning, Hongguang Zhang, Piotr Koniusz,
    ArXiv Preprint 2017, (Full Paper /ArXiv/)
  4. Museum Exhibit Identification Challenge for Domain Adaptation and Beyond,
    Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Harandi, Fatih Porikli, Rui Zhang,
    ArXiv Preprint 2017, (Full Paper /ArXiv/)
  5. End-to-end Statistical Matching for Domain Adaptation, P. Koniusz et al., 2017
  6. Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors, P. Koniusz, Y. Tas, F. Porikli
    ArXiv Preprint 2016, (Full Paper /ArXiv/)
  7. Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons, P. Koniusz, A. Cherian, F. Porikli
    ArXiv Preprint 2016, (Full Paper /ArXiv/)
  8. Dictionary Learning and Sparse Coding for Third-order Super-symmetric Tensors//, P. Koniusz, A. Cherian,
    ArXiv Preprint 2015, (Full Paper /ArXiv/)

Useful Links

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