Piotr Koniusz

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Hongguang ZhangAustralian National University, Data61/CSIROVerified email at alumni.anu.edu.au
Hongdong LiProfessor of Computer Vision and Learning, Australian National UniversityVerified email at anu.edu.au
Mehrtash HarandiDepartment of Electrical and Computer Systems Engineering, Monash UniversityVerified email at monash.edu
Hao ZhuAustralian National UniversityVerified email at anu.edu.au
Fatih PorikliQualcomm, Australian National UniversityVerified email at anu.edu.au
Krystian MikolajczykProfessor, Imperial College LondonVerified email at imperial.ac.uk
Lei WangAustralian National University, Data61/CSIROVerified email at anu.edu.au
Christian SimonMetaVerified email at meta.com
Richard NockGoogle ResearchVerified email at uniagro.fr
Lei WangSchool of Computing and Information Technology, University of WollongongVerified email at uow.edu.au
Yusuf TasResearch Student, Australia National UniversityVerified email at anu.edu.au
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Anoop CherianMitsubishi Electric Research Labs (MERL), Australian National UniversityVerified email at merl.com
Yuchao Dai (戴玉超)Northwestern Polytechnical UniversityVerified email at nwpu.edu.cn
Flora SalimProfessor, Cisco Chair of Digital Transport, Computer Science and Engineering, UNSWVerified email at unsw.edu.au
Du HuynhThe University of Western AustraliaVerified email at uwa.edu.au
Arian PrabowoUniversity of New South WalesVerified email at unsw.edu.au
Wei ShaoCSIRO data61Verified email at ucdavis.edu
Xin YuThe University of QueenslandVerified email at uq.edu.au
Yifei ZHANG (张逸飞)The Chinese University of Hong KongVerified email at cse.cuhk.edu.hk

Piotr Koniusz

Other namesPeter Koniusz

Senior res. scientist Data61❤CSIRO. Senior hon. lecturer ANU.

Verified email at anu.edu.au - Homepage

Computer Vision Machine Learning Recognition Tensor and Kernel Methods Neural Networks


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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	476	2019
Convolutional Kernel Networks J Mairal, P Koniusz, Z Harchaoui, C Schmid Advances Neural Information Processing Systems (NIPS), 2014	464	2014
Adaptive Subspaces for Few-Shot Learning C Simon, P Koniusz, R Nock, M Harandi Computer Vision and Pattern Recognition (CVPR), 2020	385	2020
Few-Shot Learning via Saliency-guided Hallucination of Samples H Zhang, J Zhang, P Koniusz IEEE Computer Vision and Pattern Recognition (CVPR), 2019	233	2019
A Comparative Review of Recent Kinect-basedAction Recognition Algorithms L Wang, DQ Huynh, P Koniusz IEEE Transactions on Image Processing (TIP), 2019	213	2019
Simple Spectral Graph Convolution H Zhu, P Koniusz International Conference on Learning Representations (ICLR), 2021	207	2021
Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons P Koniusz, A Cherian, F Porikli European Conference on Computer Vision, 2016	146	2016
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	140	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	134	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	123	2017
Zero-Shot Kernel Learning H Zhang, P Koniusz The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 7670-7679, 2018	118	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	102	2013
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	98	2019
On Learning the Geodesic Path for Incremental Learning C Simon, P Koniusz, M Harandi Computer Vision and Pattern Recognition (CVPR), 2021	77	2021
Power Normalizing Second-order Similarity Network for Few-shot Learning H Zhang, P Koniusz IEEE Winter Conference on Applications of Computer Vision (WACV), 2019	59	2019
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	57	2021
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	56*	2018
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	53	2018
On modulating the gradient for meta-learning C Simon, P Koniusz, R Nock, M Harandi Proceedings of the European Conference on Computer Vision (ECCV), 2020	50	2020
Tensor Representations for Action Recognition P Koniusz, L Wang, A Cherian IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020	50	2020

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