By Associate Professor Piotr Koniusz

Conference Papers

Zhu H; Koniusz P, 2022, 'Generalized Laplacian Eigenmaps', in Advances in Neural Information Processing Systems

Zhang S; Wang L; Murray N; Koniusz P, 2022, 'Kernelized Few-shot Object Detection with Efficient Integral Aggregation', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 19185 - 19194, http://dx.doi.org/10.1109/CVPR52688.2022.01861

Ni Y; Koniusz P; Hartley R; Nock R, 2022, 'Manifold Learning Benefits GANs', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 11255 - 11264, http://dx.doi.org/10.1109/CVPR52688.2022.01098

Simon C; Koniusz P; Harandi M, 2022, 'Meta-Learning for Multi-Label Few-Shot Classification', in Proceedings 2022 IEEE Cvf Winter Conference on Applications of Computer Vision Wacv 2022, pp. 346 - 355, http://dx.doi.org/10.1109/WACV51458.2022.00042

Song P; Zhang J; Koniusz P; Barnes N, 2022, 'MULTI-MODAL TRANSFORMER FOR RGB-D SALIENT OBJECT DETECTION', in Proceedings International Conference on Image Processing Icip, pp. 2466 - 2470, http://dx.doi.org/10.1109/ICIP46576.2022.9898069

Zhang S; Murray N; Wang L; Koniusz P, 2022, 'Time-rEversed DiffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 310 - 328, http://dx.doi.org/10.1007/978-3-031-20044-1_18

Simon C; Koniusz P; Petersson L; Han Y; Harandi M, 2022, 'Towards a Robust Differentiable Architecture Search under Label Noise', in Proceedings 2022 IEEE Cvf Winter Conference on Applications of Computer Vision Wacv 2022, pp. 3584 - 3594, http://dx.doi.org/10.1109/WACV51458.2022.00364

Wang L; Koniusz P, 2022, 'Uncertainty-DTW for Time Series and Sequences', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 176 - 195, http://dx.doi.org/10.1007/978-3-031-19803-8_11

Zhu H; Koniusz P, 2021, 'REFINE: Random RangE FInder for Network Embedding', in International Conference on Information and Knowledge Management Proceedings, pp. 3682 - 3686, http://dx.doi.org/10.1145/3459637.3482168

Wang L; Koniusz P, 2021, 'Self-supervising Action Recognition by Statistical Moment and Subspace Descriptors', in Mm 2021 Proceedings of the 29th ACM International Conference on Multimedia, pp. 4324 - 4333, http://dx.doi.org/10.1145/3474085.3475572

Simon C; Koniusz P; Harandi M, 2021, 'On Learning the Geodesic Path for Incremental Learning', Institute of Electrical and Electronics Engineers (IEEE), pp. 1591 - 1600, presented at 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), http://dx.doi.org/10.1109/cvpr46437.2021.00164

Zhu H; Sun K; Koniusz P, 2021, 'Contrastive Laplacian Eigenmaps', in Advances in Neural Information Processing Systems, pp. 5682 - 5695

Zhang S; Luo D; Wang L; Koniusz P, 2021, 'Few-Shot Object Detection by Second-Order Pooling', in Lecture Notes in Computer Science, pp. 369 - 387, http://dx.doi.org/10.1007/978-3-030-69538-5_23

Zhang H; Koniusz P; Jian S; Li H; Torr PHS, 2021, 'Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 9427 - 9436, http://dx.doi.org/10.1109/CVPR46437.2021.00931

Tas Y; Koniusz P, 2021, 'Simple Dialogue System with AUDITED', in 32nd British Machine Vision Conference Bmvc 2021

Zhu H; Koniusz P, 2021, 'SIMPLE SPECTRAL GRAPH CONVOLUTION', in Iclr 2021 9th International Conference on Learning Representations, http://dx.doi.org/10.26190/unsworks/32608

Yu X; Zhuang Z; Koniusz P; Li H, 2020, '6DoF Object Pose Estimation via Differentiable Proxy Voting Regularizer', in 31st British Machine Vision Conference Bmvc 2020

Hou W; Suominen H; Koniusz P; Caldwell S; Gedeon T, 2020, 'A Token-Wise CNN-Based Method for Sentence Compression', in Lecture Notes in Computer Science, pp. 668 - 679, http://dx.doi.org/10.1007/978-3-030-63830-6_56

Simon C; Koniusz P; Nock R; Harandi M, 2020, 'Adaptive subspaces for few-shot learning', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 4135 - 4144, http://dx.doi.org/10.1109/CVPR42600.2020.00419

Zhang H; Zhang L; Qi X; Li H; Torr PHS; Koniusz P, 2020, 'Few-Shot Action Recognition with Permutation-Invariant Attention', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 525 - 542, http://dx.doi.org/10.1007/978-3-030-58558-7_31

Simon C; Koniusz P; Nock R; Harandi M, 2020, 'On Modulating the Gradient for Meta-learning', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 556 - 572, http://dx.doi.org/10.1007/978-3-030-58598-3_33

Wang X; Salim FD; Ren Y; Koniusz P, 2020, 'Relation Embedding for Personalised Translation-Based POI Recommendation', in Lecture Notes in Computer Science, pp. 53 - 64, http://dx.doi.org/10.1007/978-3-030-47426-3_5

Prabowo A; Koniusz P; Shao W; Salim FD, 2019, 'COLTRANE: ConvolutiOnaL TRAjectory network for deep map inference', in Buildsys 2019 Proceedings of the 6th ACM International Conference on Systems for Energy Efficient Buildings Cities and Transportation, pp. 21 - 30, http://dx.doi.org/10.1145/3360322.3360853

Shao W; Prabowo A; Zhao S; Tan S; Koniusz P; Chan J; Hei X; Feest B; Salim FD, 2019, 'Flight delay prediction using airport situational awareness map', in GIS Proceedings of the ACM International Symposium on Advances in Geographic Information Systems, pp. 432 - 435, http://dx.doi.org/10.1145/3347146.3359079

Wang L; Koniusz P; Huynh D, 2019, 'Hallucinating IDT descriptors and I3D optical flow features for action recognition with CNNs', in Proceedings of the IEEE International Conference on Computer Vision, pp. 8697 - 8707, http://dx.doi.org/10.1109/ICCV.2019.00879

Zhang H; Dai Y; Li H; Koniusz P, 2019, 'Deep stacked hierarchical multi-patch network for image deblurring', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 5971 - 5979, http://dx.doi.org/10.1109/CVPR.2019.00613

Zhang H; Zhang J; Koniusz P, 2019, 'Few-shot learning via saliency-guided hallucination of samples', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 2765 - 2774, http://dx.doi.org/10.1109/CVPR.2019.00288

Zhang H; Koniusz P, 2019, 'Power normalizing second-order similarity network for few-shot learning', in Proceedings 2019 IEEE Winter Conference on Applications of Computer Vision Wacv 2019, pp. 1185 - 1193, http://dx.doi.org/10.1109/WACV.2019.00131

Shiri F; Yu X; Porikli F; Hartley R; Koniusz P, 2019, 'Recovering faces from portraits with auxiliary facial attributes', in Proceedings 2019 IEEE Winter Conference on Applications of Computer Vision Wacv 2019, pp. 406 - 415, http://dx.doi.org/10.1109/WACV.2019.00049

Sun K; Koniusz P; Wang Z, 2019, 'Fisher-Bures adversary graph convolutional networks', in 35th Conference on Uncertainty in Artificial Intelligence Uai 2019

Sun K; Koniusz P; Wang Z, 2019, 'Fisher-Bures Adversary Graph Convolutional Networks', in Proceedings of Machine Learning Research, pp. 465 - 475

Zhang H; Koniusz P, 2019, 'Model selection for generalized zero-shot learning', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 198 - 204, http://dx.doi.org/10.1007/978-3-030-11012-3_16

Koniusz P; Zhang H; Porikli F, 2018, 'A Deeper Look at Power Normalizations', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 5774 - 5783, http://dx.doi.org/10.1109/CVPR.2018.00605

Zhang H; Koniusz P, 2018, 'Zero-Shot Kernel Learning', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 7670 - 7679, http://dx.doi.org/10.1109/CVPR.2018.00800

Shiri F; Yu X; Porikli F; Hartley R; Koniusz P, 2018, 'Identity-preserving face recovery from portraits', in Proceedings 2018 IEEE Winter Conference on Applications of Computer Vision Wacv 2018, pp. 102 - 111, http://dx.doi.org/10.1109/WACV.2018.00018

Tas Y; Koniusz P, 2018, 'CNN-based action recognition and supervised domain adaptation on 3D body skeletons via kernel feature maps', in British Machine Vision Conference 2018 Bmvc 2018

Koniusz P; Tas Y; Zhang H; Harandi M; Porikli F; Zhang R, 2018, 'Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 815 - 833, http://dx.doi.org/10.1007/978-3-030-01270-0_48

Lin TY; Maji S; Koniusz P, 2018, 'Second-Order Democratic Aggregation', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 639 - 656, http://dx.doi.org/10.1007/978-3-030-01219-9_38

Shiri F; Yu X; Koniusz P; Porikli F, 2017, 'Face Destylization', in Dicta 2017 2017 International Conference on Digital Image Computing Techniques and Applications, pp. 1 - 8, http://dx.doi.org/10.1109/DICTA.2017.8227432

Shiri F; Yu X; Koniusz P; Porikli F, 2017, 'Face Destylization', in Guo Y; Li H; Cai W; Murshed M; Wang Z; Gao J; Feng DD (eds.), 2017 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING - TECHNIQUES AND APPLICATIONS (DICTA), IEEE, AUSTRALIA, Sydney, pp. 427 - 434, presented at International Conference on Digital Image Computing - Techniques and Applications (DICTA), AUSTRALIA, Sydney, 29 November 2017 - 01 December 2017

Koniusz P; Tas Y; Porikli F, 2017, 'Domain adaptation by mixture of alignments of second- or higher-order scatter tensors', in Proceedings 30th IEEE Conference on Computer Vision and Pattern Recognition Cvpr 2017, pp. 7139 - 7148, http://dx.doi.org/10.1109/CVPR.2017.755

Cherian A; Koniusz P; Gould S, 2017, 'Higher-order pooling of cnn features via kernel linearization for action recognition', in Proceedings 2017 IEEE Winter Conference on Applications of Computer Vision Wacv 2017, pp. 130 - 138, http://dx.doi.org/10.1109/WACV.2017.22

Koniusz P; Cherian A, 2016, 'Sparse coding for third-order super-symmetric tensor descriptors with application to texture recognition', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 5395 - 5403, http://dx.doi.org/10.1109/CVPR.2016.582

Koniusz P; Cherian A; Porikli F, 2016, 'Tensor representations via kernel linearization for action recognition from 3D skeletons', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 37 - 53, http://dx.doi.org/10.1007/978-3-319-46493-0_3

Mairal J; Koniusz P; Harchaoui Z; Schmid C, 2014, 'Convolutional kernel networks', in Advances in Neural Information Processing Systems, pp. 2627 - 2635

Koniusz P; Mikolajczyk K, 2011, 'Soft assignment of visual words as linear coordinate coding and optimisation of its reconstruction error', in Proceedings International Conference on Image Processing Icip, pp. 2413 - 2416, http://dx.doi.org/10.1109/ICIP.2011.6116129

Koniusz P; Mikolajczyk K, 2011, 'Spatial coordinate coding to reduce histogram representations, dominant angle and colour pyramid match', in Proceedings International Conference on Image Processing Icip, pp. 661 - 664, http://dx.doi.org/10.1109/ICIP.2011.6116639

Koniusz P; Mikolajczyk K, 2010, 'On a quest for image descriptors based on unsupervised segmentation maps', in Proceedings International Conference on Pattern Recognition, pp. 762 - 765, http://dx.doi.org/10.1109/ICPR.2010.192

Koniusz P; Mikolajczyk K, 2009, 'Segmentation based interest points and evaluation of unsupervised image segmentation methods', in British Machine Vision Conference Bmvc 2009 Proceedings, http://dx.doi.org/10.5244/C.23.24

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