Piotr Koniusz

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Hongguang ZhangAustralian National University, Data61/CSIROVerified email at alumni.anu.edu.au
Fatih PorikliQualcomm, Australian National UniversityVerified email at anu.edu.au
Krystian MikolajczykProfessor, Imperial College LondonVerified email at imperial.ac.uk
Mehrtash HarandiDepartment of Electrical and Computer Systems Engineering, Monash UniversityVerified email at monash.edu
Hongdong LiProfessor of Computer Vision and Learning, Australian National UniversityVerified email at anu.edu.au
Christian SimonANUVerified email at anu.edu.au
Lei WangAustralian National University, Data61/CSIROVerified email at data61.csiro.au
Yusuf TasResearch Student, Australia National UniversityVerified email at anu.edu.au
Richard NockGoogle ResearchVerified email at uniagro.fr
Anoop CherianMitsubishi Electric Research Labs (MERL), Australian National UniversityVerified email at merl.com
Hao ZhuAustralian National UniversityVerified email at anu.edu.au
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Du HuynhThe University of Western AustraliaVerified email at uwa.edu.au
Yuchao Dai (戴玉超)Northwestern Polytechnical UniversityVerified email at nwpu.edu.cn
Xin YuPhD, The University of Technology Sydney (UTS)Verified email at uts.edu.au
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
Richard HartleyAustralian National University, National ICT Australia (NICTA)Verified email at anu.edu.au

Piotr Koniusz

Senior hon. lecturer, Australian National University. Senior res. scientist, Data61/CSIRO.

Verified email at anu.edu.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	425	2014
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	244	2019
Adaptive Subspaces for Few-Shot Learning C Simon, P Koniusz, R Nock, M Harandi Computer Vision and Pattern Recognition (CVPR), 2020	199	2020
Few-Shot Learning via Saliency-guided Hallucination of Samples H Zhang, J Zhang, P Koniusz IEEE Computer Vision and Pattern Recognition (CVPR), 2019	151	2019
Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons P Koniusz, A Cherian, F Porikli European Conference on Computer Vision, 2016	125	2016
A Comparative Review of Recent Kinect-basedAction Recognition Algorithms L Wang, DQ Huynh, P Koniusz IEEE Transactions on Image Processing (TIP), 2019	123	2019
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	122	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	109	2017
Zero-Shot Kernel Learning H Zhang, P Koniusz The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 7670-7679, 2018	103	2018
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	100	2013
Few-shot Action Recognition with Permutation-invariant Attention H Zhang, L Zhang, X Qi, H Li, PHS Torr, P Koniusz European Conference on Computer Vision (ECCV), 2020	69	2020
Simple Spectral Graph Convolution H Zhu, P Koniusz International Conference on Learning Representations (ICLR), 2021	68	2021
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	64*	2019
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	46*	2018
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	42	2011
Power Normalizing Second-order Similarity Network for Few-shot Learning H Zhang, P Koniusz IEEE Winter Conference on Applications of Computer Vision (WACV), 2019	40	2019
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	40	2018
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	39	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	35	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, 2014	34	2014

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