Piotr Koniusz

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Citations	6166	5289
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Hongguang ZhangAustralian National University, Data61/CSIROVerified email at alumni.anu.edu.au
Hao ZhuData61@CSIROVerified email at data61.csiro.au
Lei WangAustralian National University, Data61/CSIROVerified email at anu.edu.au
Hongdong LiProfessor of Computer Vision and Machine Learning, ANU, and Amazon IMLVerified email at anu.edu.au
Mehrtash HarandiDepartment of Electrical and Computer Systems Engineering, Monash UniversityVerified email at monash.edu
Fatih PorikliQualcomm, Australian National UniversityVerified email at anu.edu.au
Christian SimonSonyVerified email at sony.com
Krystian MikolajczykProfessor, Imperial College LondonVerified email at imperial.ac.uk
Richard NockGoogle ResearchVerified email at uniagro.fr
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Yifei ZHANG (张逸飞)Research Scientist, Nanyang Technological UniversityVerified email at ntu.edu.sg
Irwin KingThe Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Yusuf TasResearch Student, Australia National UniversityVerified email at anu.edu.au
Lei WangSchool of Computing and Information Technology, University of WollongongVerified email at uow.edu.au
Flora SalimProfessor, Cisco Chair of AI & Digital Transport, Computer Science and Engineering, UNSWVerified email at unsw.edu.au
Yuchao Dai (戴玉超)Northwestern Polytechnical UniversityVerified email at nwpu.edu.cn
Anoop CherianMitsubishi Electric Research Labs (MERL), Australian National UniversityVerified email at merl.com
Xin YuThe University of QueenslandVerified email at uq.edu.au
Arian PrabowoUniversity of New South WalesVerified email at unsw.edu.au
Du HuynhThe University of Western AustraliaVerified email at uwa.edu.au

Piotr Koniusz

Other namesPeter Koniusz

Principal Scientist (Data61❤CSIRO). Hon./Adj. Associate Professor (level D) (ANU & UNSW).

Verified email at anu.edu.au - Homepage

Computer Vision Machine Learning Recognition Tensor and Kernel Methods Neural Networks


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	684	2019
Adaptive Subspaces for Few-Shot Learning C Simon, P Koniusz, R Nock, M Harandi Computer Vision and Pattern Recognition (CVPR), 2020	499	2020
Convolutional Kernel Networks J Mairal, P Koniusz, Z Harchaoui, C Schmid Advances Neural Information Processing Systems (NIPS), 2014	486	2014
Simple Spectral Graph Convolution H Zhu, P Koniusz International Conference on Learning Representations (ICLR), 2021	364	2021
A Comparative Review of Recent Kinect-basedAction Recognition Algorithms L Wang, DQ Huynh, P Koniusz IEEE Transactions on Image Processing (TIP), 2019	273	2019
Few-Shot Learning via Saliency-guided Hallucination of Samples H Zhang, J Zhang, P Koniusz IEEE Computer Vision and Pattern Recognition (CVPR), 2019	269	2019
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	205	2020
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	159	2017
Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons P Koniusz, A Cherian, F Porikli European Conference on Computer Vision, 2016	152	2016
On Learning the Geodesic Path for Incremental Learning C Simon, P Koniusz, M Harandi Computer Vision and Pattern Recognition (CVPR), 2021	139	2021
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	134	2017
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning Y Zhang, H Zhu, Z Song, P Koniusz, I King International Conference on Knowledge Discovery and Data Mining (KDD 2022), 2022	127	2022
Zero-Shot Kernel Learning H Zhang, P Koniusz The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 7670-7679, 2018	126	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	123	2019
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	104	2013
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond Y Zhang, H Zhu, Z Song, P Koniusz, I King International Conference on Artificial Intelligence (AAAI), 2023, arXiv …, 2022	90	2022
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning H Zhang, P Koniusz, S Jian, H Li, PHS Torr Computer Vision and Pattern Recognition (CVPR), 2021	74	2021
Tensor Representations for Action Recognition P Koniusz, L Wang, A Cherian IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020	74	2020
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification P Koniusz, H Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020	70	2020
Kernelized few-shot object detection with efficient integral aggregation S Zhang, L Wang, N Murray, P Koniusz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	69	2022

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