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Piotr Koniusz
Piotr Koniusz
Other namesPeter Koniusz
Principal Res. Scientist (Data61❤CSIRO). Hon. Associate Professor (level D) (ANU).
Verified email at anu.edu.au - Homepage
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
5182019
Convolutional Kernel Networks
J Mairal, P Koniusz, Z Harchaoui, C Schmid
Advances Neural Information Processing Systems (NIPS), 2014
4762014
Adaptive Subspaces for Few-Shot Learning
C Simon, P Koniusz, R Nock, M Harandi
Computer Vision and Pattern Recognition (CVPR), 2020
4212020
Few-Shot Learning via Saliency-guided Hallucination of Samples
H Zhang, J Zhang, P Koniusz
IEEE Computer Vision and Pattern Recognition (CVPR), 2019
2432019
Simple Spectral Graph Convolution
H Zhu, P Koniusz
International Conference on Learning Representations (ICLR), 2021
2352021
A Comparative Review of Recent Kinect-basedAction Recognition Algorithms
L Wang, DQ Huynh, P Koniusz
IEEE Transactions on Image Processing (TIP), 2019
2322019
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
1542020
Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons
P Koniusz, A Cherian, F Porikli
European Conference on Computer Vision, 2016
1532016
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
1392017
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
1282017
Zero-Shot Kernel Learning
H Zhang, P Koniusz
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 7670-7679, 2018
1202018
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
1082019
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
1032013
On Learning the Geodesic Path for Incremental Learning
C Simon, P Koniusz, M Harandi
Computer Vision and Pattern Recognition (CVPR), 2021
852021
Power Normalizing Second-order Similarity Network for Few-shot Learning
H Zhang, P Koniusz
IEEE Winter Conference on Applications of Computer Vision (WACV), 2019
642019
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
612021
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
592022
Tensor Representations for Action Recognition
P Koniusz, L Wang, A Cherian
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
582020
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
57*2018
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
562022
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