Piotr Koniusz

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Hongguang ZhangAustralian National University, Data61/CSIROVerified email at anu.edu.au
Fatih PorikliQualcomm, Australian National UniversityVerified email at anu.edu.au
Krystian MikolajczykAssociate Professor, Imperial College LondonVerified email at imperial.ac.uk
Mehrtash HarandiMonash UniversityVerified email at monash.edu
Anoop CherianMitsubishi Electric Research Labs (MERL), Australian National UniversityVerified email at merl.com
Hongdong LiAustralian National UniversityVerified email at anu.edu.au
Yusuf TasResearch Student, Australia National UniversityVerified email at anu.edu.au
Lei WangPhD Student, Australian National University, Data61/CSIROVerified email at data61.csiro.au
Xin YuPhD, The University of Technology Sydney (UTS)Verified email at uts.edu.au
Christian SimonANUVerified email at anu.edu.au
Du HuynhThe University of Western AustraliaVerified email at uwa.edu.au
Richard NockVerified email at uniagro.fr
Fatemeh ShiriResearch Fellow Monash UniversityVerified email at monash.edu
Julien MairalInria - Univ. Grenoble AlpesVerified email at inria.fr
Zaid HarchaouiUniversity of WashingtonVerified email at uw.edu
Cordelia SchmidResearch director INRIA Verified email at inria.fr
Yuchao Dai (戴玉超)Northwestern Polytechnical UniversityVerified email at nwpu.edu.cn
Philippe-Henri GosselinPrincipal Scientist, InterDigital R&D FranceVerified email at interdigital.com
Richard HartleyAustralian National University, National ICT Australia (NICTA)Verified email at anu.edu.au
Mark BarnardResearch Fellow, CVSSP, University of SurreyVerified email at surrey.ac.uk

Piotr Koniusz

Senior researcher, Data61/CSIRO (former NICTA). Senior honorary lecturer, ANU, Canberra

Verified email at data61.csiro.au - Homepage

Computer Vision Machine Learning Recognition Tensor and Kernel Methods Neural Networks


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Convolutional Kernel Networks J Mairal, P Koniusz, Z Harchaoui, C Schmid Advances Neural Information Processing Systems (NIPS), 2014	366	2014
Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons P Koniusz, A Cherian, F Porikli European Conference on Computer Vision, 2016	105	2016
Comparison of mid-level feature coding approaches and pooling strategies in visual concept detection P Koniusz, F Yan, K Mikolajczyk Computer vision and image understanding 117 (5), 479-492, 2013	93	2013
Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors P Koniusz, Y Tas, F Porikli Computer Vision and Pattern Recognition, 2017	89	2017
Higher-order occurrence pooling for bags-of-words: Visual concept detection P Koniusz, F Yan, PH Gosselin, K Mikolajczyk IEEE transactions on pattern analysis and machine intelligence 39 (2), 313-326, 2017	82	2017
Few-Shot Learning via Saliency-guided Hallucination of Samples H Zhang, J Zhang, P Koniusz IEEE Computer Vision and Pattern Recognition (CVPR), 2019	80	2019
Deep stacked hierarchical multi-patch network for image deblurring H Zhang, Y Dai, H Li, P Koniusz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	72	2019
Zero-Shot Kernel Learning H Zhang, P Koniusz The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 7670-7679, 2018	72	2018
A Comparative Review of Recent Kinect-basedAction Recognition Algorithms L Wang, DQ Huynh, P Koniusz IEEE Transactions on Image Processing (TIP), 2019	47	2019
Adaptive Subspaces for Few-Shot Learning C Simon, P Koniusz, R Nock, M Harandi Computer Vision and Pattern Recognition (CVPR), 2020	42*	2020
Spatial coordinate coding to reduce histogram representations, dominant angle and colour pyramid match P Koniusz, K Mikolajczyk 2011 18th IEEE International Conference on Image Processing, 661-664, 2011	40	2011
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	35	2017
Sparse Coding for Third-order Super-symmetric Tensor Descriptors with Application to Texture Recognition P Koniusz, A Cherian Computer Vision and Pattern Recognition, 8, 2016	31	2016
Robust Multi-Speaker Tracking via Dictionary Learning and Identity Modelling M Barnard, P Koniusz, W Wang, J Kittler, SM Naqvi, J Chambers IEEE Transactions on Multimedia, 0	29*
A Deeper Look at Power Normalizations P Koniusz, H Zhang, F Porikli The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5774-5783, 2018	28	2018
Museum exhibit identification challenge for the supervised domain adaptation and beyond P Koniusz, Y Tas, H Zhang, M Harandi, F Porikli, R Zhang Proceedings of the European conference on computer vision (ECCV), 788-804, 2018	28*	2018
Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition with CNNs L Wang, P Koniusz, DQ Huynh International Conference on Computer Vision (ICCV), 2019	26*	2019
Higher-order occurrence pooling on mid-and low-level features: Visual concept detection P Koniusz, F Yan, PH Gosselin, K Mikolajczyk	24	2013
Power Normalizing Second-order Similarity Network for Few-shot Learning H Zhang, P Koniusz IEEE Winter Conference on Applications of Computer Vision (WACV), 2019	23	2019
Soft assignment of visual words as linear coordinate coding and optimisation of its reconstruction error P Koniusz, K Mikolajczyk 2011 18th IEEE International Conference on Image Processing, 2413-2416, 2011	22	2011

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