Piotr Koniusz

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Hongguang ZhangAustralian National University, Data61/CSIROPatvirtintas el. paštas alumni.anu.edu.au
Hao ZhuData61@CSIROPatvirtintas el. paštas data61.csiro.au
Lei WangGriffith University, Data61/CSIROPatvirtintas el. paštas griffith.edu.au
Hongdong LiProfessor of Computer Vision and Machine Learning, ANU, and Amazon IMLPatvirtintas el. paštas anu.edu.au
Mehrtash HarandiDepartment of Electrical and Computer Systems Engineering, Monash UniversityPatvirtintas el. paštas monash.edu
Fatih PorikliQualcomm, Australian National UniversityPatvirtintas el. paštas anu.edu.au
Christian SimonSonyPatvirtintas el. paštas sony.com
Krystian MikolajczykProfessor, Imperial College LondonPatvirtintas el. paštas imperial.ac.uk
Richard NockGoogle ResearchPatvirtintas el. paštas uniagro.fr
Philip TorrProfessor, University of OxfordPatvirtintas el. paštas eng.ox.ac.uk
Yifei ZHANG (张逸飞)Research Scientist, Nanyang Technological UniversityPatvirtintas el. paštas ntu.edu.sg
Irwin KingThe Chinese University of Hong KongPatvirtintas el. paštas cse.cuhk.edu.hk
Yusuf TasResearch Student, Australia National UniversityPatvirtintas el. paštas anu.edu.au
Lei WangSchool of Computing and Information Technology, University of WollongongPatvirtintas el. paštas uow.edu.au
Flora SalimProfessor, CSE, UNSWPatvirtintas el. paštas unsw.edu.au
Anoop CherianMitsubishi Electric Research Labs (MERL), Australian National UniversityPatvirtintas el. paštas merl.com
Yuchao Dai (戴玉超)Northwestern Polytechnical UniversityPatvirtintas el. paštas nwpu.edu.cn
Xin YuThe University of QueenslandPatvirtintas el. paštas uq.edu.au
Arian PrabowoUniversity of New South WalesPatvirtintas el. paštas unsw.edu.au
Du HuynhThe University of Western AustraliaPatvirtintas el. paštas uwa.edu.au

Stebėti

Piotr Koniusz

Kiti vardaiPeter Koniusz

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

Patvirtintas el. paštas anu.edu.au - Pagrindinis puslapis

Computer Vision Machine Learning Recognition Tensor and Kernel Methods Neural Networks


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	691	2019
Adaptive Subspaces for Few-Shot Learning C Simon, P Koniusz, R Nock, M Harandi Computer Vision and Pattern Recognition (CVPR), 2020	516	2020
Convolutional Kernel Networks J Mairal, P Koniusz, Z Harchaoui, C Schmid Advances Neural Information Processing Systems (NIPS), 2014	487	2014
Simple Spectral Graph Convolution H Zhu, P Koniusz International Conference on Learning Representations (ICLR), 2021	384	2021
A Comparative Review of Recent Kinect-basedAction Recognition Algorithms L Wang, DQ Huynh, P Koniusz IEEE Transactions on Image Processing (TIP), 2019	278	2019
Few-Shot Learning via Saliency-guided Hallucination of Samples H Zhang, J Zhang, P Koniusz IEEE Computer Vision and Pattern Recognition (CVPR), 2019	272	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	146	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	135	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	133	2022
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	124	2019
Zero-Shot Kernel Learning H Zhang, P Koniusz The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 7670-7679, 2018	124	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	106	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	96	2022
Tensor Representations for Action Recognition P Koniusz, L Wang, A Cherian IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020	78	2020
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	77	2021
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	73	2022
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	72	2020

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