Associate Professor Piotr Koniusz

Associate Professor Piotr Koniusz

Associate Professor
Engineering
Computer Science and Engineering

Associate Professor - Theoretical Machine Learning https://www.koniusz.com

  • Associate Professor - Theoretical Machine Learning at the University of New South Wales (UNSW)
  • Honorary Associate Professor at the Australian National University (ANU)
  • Former Principal (now Visiting) Research Scientist in Machine Learning at Data61/CSIRO

In 2013-2015, he was a postdoctoral researcher in the team LEAR, INRIA, France. He received his BSc in Telecommunications and Software Engineering in 2004 from the Warsaw University of Technology, Poland, and completed his PhD in Computer Vision in 2013 at CVSSP, University of Surrey, UK.

He works on representation learning:

  • contrastive & self-supervised learning
  • vision-language models (VLMs), MLLMs
  • deep & graph neural nets
  • image classification & action recognition
  • zero-, one- & few-shot learning, domain adaptation, incremental learning
  • object segmentation & detection, generative nets, adversarial robustness
  • spectral, tensor & hyperbolic learning, RKHS, optimal transportation (OT).

His latest favourite is machine UNlearning.

Location
Sydney, K17
  • Journal articles | 2026
    Lu C; Zhu H; Koniusz P, 2026, 'Exploiting Class-agnostic Visual Prior for Few-shot Keypoint Detection', International Journal of Computer Vision, 134, http://dx.doi.org/10.1007/s11263-025-02671-5
    Journal articles | 2025
    Koniusz P; Ma W, 2025, 'WWW 2025 Workshop Chairs' Welcome', Www Companion 2025 Companion Proceedings of the ACM Web Conference 2025, pp. 1563 - 1564, http://dx.doi.org/10.1145/3701716.3725685
    Journal articles | 2025
    Mahendren S; Rahman S; Koniusz P; Fernando T; Sridharan S; Fookes C; Moghadam P, 2025, 'Point-PNG: Conditional Pseudo-Negatives Generation for Point Cloud Pre-Training', IEEE Access, 13, pp. 208612 - 208625, http://dx.doi.org/10.1109/ACCESS.2025.3641626
    Journal articles | 2025
    Wang L; Koniusz P, 2025, 'Feature Hallucination for Self-supervised Action Recognition', International Journal of Computer Vision, 133, pp. 7612 - 7646, http://dx.doi.org/10.1007/s11263-025-02513-4
    Journal articles | 2025
    Zhao M; Li G; Koniusz P; Zhang C; Gong Y, 2025, 'Beyond decoders: Learning prompt-aware features for few-shot object counting', Neurocomputing, 651, http://dx.doi.org/10.1016/j.neucom.2025.130997
    Journal articles | 2024
    Anand G; Koniusz P; Kumar A; Golding LA; Morgan MJ; Moghadam P, 2024, 'Graph neural networks-enhanced relation prediction for ecotoxicology (GRAPE)', Journal of Hazardous Materials, 472, http://dx.doi.org/10.1016/j.jhazmat.2024.134456
    Journal articles | 2024
    Peng C; Koniusz P; Guo K; Lovell BC; Moghadam P, 2024, 'Multivariate prototype representation for domain-generalized incremental learning', Computer Vision and Image Understanding, 249, http://dx.doi.org/10.1016/j.cviu.2024.104215
    Journal articles | 2024
    Prabowo A; Xue H; Shao W; Koniusz P; Salim FD, 2024, 'Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)', Data Mining and Knowledge Discovery, 38, pp. 913 - 937, http://dx.doi.org/10.1007/s10618-023-00982-0
    Journal articles | 2024
    Song P; Li W; Zhong P; Zhang J; Konuisz P; Duan F; Barnes N, 2024, 'Synergizing triple attention with depth quality for RGB-D salient object detection', Neurocomputing, 589, http://dx.doi.org/10.1016/j.neucom.2024.127672
    Journal articles | 2024
    Wang L; Liu J; Zheng L; Gedeon T; Koniusz P, 2024, 'Meet JEANIE: A Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment', International Journal of Computer Vision, 132, pp. 4091 - 4122, http://dx.doi.org/10.1007/s11263-024-02070-2
    Journal articles | 2024
    Zhang H; Liu C; Wang J; Ma L; Koniusz P; Torr PHS; Yang L, 2024, 'Saliency-guided meta-hallucinator for few-shot learning', Science China Information Sciences, 67, http://dx.doi.org/10.1007/s11432-023-4113-1
    Journal articles | 2023
    Li Z; Koniusz P; Zhang L; Pagendam DE; Moghadam P, 2023, 'Exploiting Field Dependencies for Learning on Categorical Data', IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, pp. 13509 - 13522, http://dx.doi.org/10.1109/TPAMI.2023.3298028
    Journal articles | 2023
    Shi Y; Yu X; Liu L; Campbell D; Koniusz P; Li H, 2023, 'Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching', IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, pp. 2682 - 2697, http://dx.doi.org/10.1109/TPAMI.2022.3189702
    Journal articles | 2023
    Zhang H; Li H; Koniusz P, 2023, 'Multi-Level Second-Order Few-Shot Learning', IEEE Transactions on Multimedia, 25, pp. 2111 - 2126, http://dx.doi.org/10.1109/TMM.2022.3142955
    Journal articles | 2023
    Zhang H; Zhang L; Dai Y; Li H; Koniusz P, 2023, 'Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion Deblurring', International Journal of Computer Vision, 131, pp. 453 - 470, http://dx.doi.org/10.1007/s11263-022-01708-3
    Journal articles | 2023
    Zheng Y; Keleş HY; Koniusz P, 2023, 'Preface', Lecture Notes in Computer Science, 13848 LNCS, pp. v
    Journal articles | 2022
    Koniusz P; Wang L; Cherian A, 2022, 'Tensor Representations for Action Recognition', IEEE Transactions on Pattern Analysis and Machine Intelligence, 44, pp. 648 - 665, http://dx.doi.org/10.1109/TPAMI.2021.3107160
    Journal articles | 2022
    Koniusz P; Zhang H, 2022, 'Power Normalizations in Fine-Grained Image, Few-Shot Image and Graph Classification', IEEE Transactions on Pattern Analysis and Machine Intelligence, 44, pp. 591 - 609, http://dx.doi.org/10.1109/TPAMI.2021.3107164
    Journal articles | 2022
    Shao W; Prabowo A; Zhao S; Koniusz P; Salim FD, 2022, 'Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map', Neurocomputing, 472, pp. 280 - 293, http://dx.doi.org/10.1016/j.neucom.2021.04.136
    Journal articles | 2020
    Wang L; Huynh DQ; Koniusz P, 2020, 'A Comparative Review of Recent Kinect-Based Action Recognition Algorithms', IEEE Transactions on Image Processing, 29, pp. 15 - 28, http://dx.doi.org/10.1109/TIP.2019.2925285
    Journal articles | 2019
    Shiri F; Yu X; Porikli F; Hartley R; Koniusz P, 2019, 'Identity-Preserving Face Recovery from Stylized Portraits', International Journal of Computer Vision, 127, pp. 863 - 883, http://dx.doi.org/10.1007/s11263-019-01169-1
    Journal articles | 2017
    Koniusz P; Yan F; Gosselin PH; Mikolajczyk K, 2017, 'Higher-Order Occurrence Pooling for Bags-of-Words: Visual Concept Detection', IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, pp. 313 - 326, http://dx.doi.org/10.1109/TPAMI.2016.2545667
    Journal articles | 2014
    Barnard M; Koniusz P; Wang W; Kittler J; Naqvi SM; Chambers J, 2014, 'Robust multi-speaker tracking via dictionary learning and identity modeling', IEEE Transactions on Multimedia, 16, pp. 864 - 880, http://dx.doi.org/10.1109/TMM.2014.2301977
    Journal articles | 2013
    Koniusz P; Yan F; Mikolajczyk K, 2013, 'Comparison of mid-level feature coding approaches and pooling strategies in visual concept detection', Computer Vision and Image Understanding, 117, pp. 479 - 492, http://dx.doi.org/10.1016/j.cviu.2012.10.010
    Journal articles | 2013
    Tahir MA; Yan F; Koniusz P; Awais M; Barnard M; Mikolajczyk K; Bouridane A; Kittler J, 2013, 'A robust and scalable visual category and action recognition system using kernel discriminant analysis with spectral regression', IEEE Transactions on Multimedia, 15, pp. 1653 - 1664, http://dx.doi.org/10.1109/TMM.2013.2264927
  • Conference Papers | 2025
    Ding D; Wang L; Zhu L; Gedeon T; Koniusz P, 2025, 'LEARNABLE EXPANSION OF GRAPH OPERATORS FOR MULTI-MODAL FEATURE FUSION', in 13th International Conference on Learning Representations Iclr 2025, pp. 78379 - 78401
    Conference Papers | 2025
    Dong J; Koniusz P; Chen J; Ong YS, 2025, 'Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 92 - 111, http://dx.doi.org/10.1007/978-3-031-73235-5_6
    Conference Papers | 2025
    Dong J; Koniusz P; Qu X; Ong YS, 2025, 'Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMs', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 236 - 247, http://dx.doi.org/10.1145/3690624.3709296
    Conference Papers | 2025
    Dong J; Koniusz P; Zhang Y; Zhu H; Liu W; Qu X; Ong YS, 2025, 'Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices', in Proceedings of Machine Learning Research, pp. 14061 - 14078
    Conference Papers | 2025
    Li Y; Moghadam P; Peng C; Ye N; Koniusz P, 2025, 'Inductive Graph Few-shot Class Incremental Learning', in Wsdm 2025 Proceedings of the 18th ACM International Conference on Web Search and Data Mining, pp. 466 - 474, http://dx.doi.org/10.1145/3701551.3703578
    Conference Papers | 2025
    Lu C; Liu Z; Koniusz P, 2025, 'OpenKD: Opening Prompt Diversity for Zero- and Few-Shot Keypoint Detection', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 148 - 165, http://dx.doi.org/10.1007/978-3-031-72655-2_9
    Conference Papers | 2025
    Ni Y; Wen S; Koniusz P; Cherian A, 2025, 'Noise Consistency Regularization for Improved Subject-Driven Image Synthesis', in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 3107 - 3117, http://dx.doi.org/10.1109/CVPRW67362.2025.00294
    Conference Papers | 2025
    Wang L; Koniusz P; Gedeon T; Zheng L, 2025, 'Adaptive Multi-head Contrastive Learning', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 404 - 421, http://dx.doi.org/10.1007/978-3-031-72890-7_25
    Conference Papers | 2025
    Wijesinghe A; Zhu H; Koniusz P, 2025, 'Graph Self-Supervised Learning with Learnable Structural and Positional Encodings', in Www 2025 Proceedings of the ACM Web Conference, pp. 4053 - 4067, http://dx.doi.org/10.1145/3696410.3714745
    Conference Papers | 2025
    Zhang S; Chen A; Sun Y; Gu J; Zheng YY; Koniusz P; Zou K; van den Hengel A; Xue Y, 2025, 'Primitive Vision: Improving Diagram Understanding in MLLMs', in Proceedings of Machine Learning Research, pp. 74732 - 74755
    Conference Papers | 2025
    Zhang S; Ni Y; Du J; Xue Y; Torr P; Koniusz P; Den Hengel AV, 2025, 'Open-World Objectness Modeling Unifies Novel Object Detection', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 30332 - 30342, http://dx.doi.org/10.1109/CVPR52734.2025.02824
    Conference Papers | 2025
    Zhang Y; Zhu H; Yang M; Liu J; Ying R; King I; Koniusz P, 2025, 'Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1984 - 1995, http://dx.doi.org/10.1145/3690624.3709249
    Conference Papers | 2025
    Zhu H; Steinberg DM; Koniusz P, 2025, 'Protein Fitness Landscape: Spectral Graph Theory Perspective', in Proceedings of Machine Learning Research, pp. 2827 - 2835
    Conference Papers | 2025
    Zhu H; Zhang Y; Dong J; Koniusz P, 2025, 'BiLoRA: Almost-orthogonal Parameter Spaces for Continual Learning', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 25613 - 25622, http://dx.doi.org/10.1109/CVPR52734.2025.02385
    Conference Papers | 2024
    Chen Q; Wang L; Koniusz P; Gedeon T, 2024, 'Motion meets Attention: Video Motion Prompts', in Proceedings of Machine Learning Research, pp. 591 - 606
    Conference Papers | 2024
    Dong J; Koniusz P; Chen J; Wang ZJ; Ong YS, 2024, 'Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 28432 - 28442, http://dx.doi.org/10.1109/CVPR52733.2024.02686
    Conference Papers | 2024
    Dong J; Koniusz P; Chen J; Xie X; Ong YS, 2024, 'Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 28535 - 28544, http://dx.doi.org/10.1109/CVPR52733.2024.02696
    Conference Papers | 2024
    Haghighat M; Moghadam P; Mohamed S; Koniusz P, 2024, 'PRE-TRAINING WITH RANDOM ORTHOGONAL PROJECTION IMAGE MODELING', in 12th International Conference on Learning Representations Iclr 2024
    Conference Papers | 2024
    Lu C; Koniusz P, 2024, 'Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector', in Proceedings of the Aaai Conference on Artificial Intelligence, pp. 3882 - 3890, http://dx.doi.org/10.1609/aaai.v38i4.28180
    Conference Papers | 2024
    Ni Y; Koniusz P, 2024, 'CHAIN: Enhancing Generalization in Data-Efficient GANs via LipsCHitz Continuity ConstrAIned Normalization', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 6763 - 6774, http://dx.doi.org/10.1109/CVPR52733.2024.00646
    Conference Papers | 2024
    Ni Y; Zhang S; Koniusz P, 2024, 'PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization', in Advances in Neural Information Processing Systems
    Conference Papers | 2024
    Shi W; Lu C; Shao M; Zhang Y; Xia S; Koniusz P, 2024, 'Few-shot Shape Recognition by Learning Deep Shape-aware Features', in Proceedings 2024 IEEE Winter Conference on Applications of Computer Vision Wacv 2024, pp. 1837 - 1848, http://dx.doi.org/10.1109/WACV57701.2024.00186
    Conference Papers | 2024
    Wang L; Koniusz P, 2024, 'FLOW DYNAMICS CORRECTION FOR ACTION RECOGNITION', in ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, pp. 3795 - 3799, http://dx.doi.org/10.1109/ICASSP48485.2024.10446223
    Conference Papers | 2024
    Wang L; Sun K; Koniusz P, 2024, 'HIGH-ORDER TENSOR POOLING WITH ATTENTION FOR ACTION RECOGNITION', in ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, pp. 3885 - 3889, http://dx.doi.org/10.1109/ICASSP48485.2024.10446900
    Conference Papers | 2024
    Zhang S; Ni Y; Du J; Liu Y; Koniusz P, 2024, 'Semantic Transfer from Head to Tail: Enlarging Tail Margin for Long-Tailed Visual Recognition', in Proceedings 2024 IEEE Winter Conference on Applications of Computer Vision Wacv 2024, pp. 1339 - 1349, http://dx.doi.org/10.1109/WACV57701.2024.00138
    Conference Papers | 2024
    Zhang Y; Zhu H; Song Z; Chen Y; Fu X; Meng Z; Koniusz P; King I, 2024, 'Geometric View of Soft Decorrelation in Self-Supervised Learning', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 4338 - 4349, http://dx.doi.org/10.1145/3637528.3671914
    Conference Papers | 2023
    Kang D; Koniusz P; Cho M; Murray N, 2023, 'Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 19627 - 19638, http://dx.doi.org/10.1109/CVPR52729.2023.01880
    Conference Papers | 2023
    Ni Y; Koniusz P, 2023, 'NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs', in Advances in Neural Information Processing Systems
    Conference Papers | 2023
    Prabowo A; Shao W; Xue H; Koniusz P; Salim FD, 2023, 'Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting', in ACM International Conference Proceeding Series, pp. 93 - 104, http://dx.doi.org/10.1145/3576842.3582362
    Preprints | 2023
    Prabowo A; Shao W; Xue H; Koniusz P; Salim FD, 2023, Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting, http://dx.doi.org/10.1145/3576842.3582362
    Preprints | 2023
    Prabowo A; Xue H; Shao W; Koniusz P; Salim FD, 2023, Message Passing Neural Networks for Traffic Forecasting, http://arxiv.org/abs/2305.05740v1
    Preprints | 2023
    Prabowo A; Xue H; Shao W; Koniusz P; Salim FD, 2023, Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training (SCPT), http://dx.doi.org/10.1007/s10618-023-00982-0
    Conference Papers | 2023
    Rahman S; Koniusz P; Wang L; Zhou L; Moghadam P; Sun C, 2023, 'Learning Partial Correlation based Deep Visual Representation for Image Classification', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 6231 - 6242, http://dx.doi.org/10.1109/CVPR52729.2023.00603
    Preprints | 2023
    Rahman S; Koniusz P; Wang L; Zhou L; Moghadam P; Sun C, 2023, Learning Partial Correlation based Deep Visual Representation for Image Classification, http://dx.doi.org/10.48550/arxiv.2304.11597
    Conference Papers | 2023
    Wang L; Koniusz P, 2023, '3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 5620 - 5631, http://dx.doi.org/10.1109/CVPR52729.2023.00544
    Conference Papers | 2023
    Wang L; Koniusz P, 2023, 'Temporal-Viewpoint Transportation Plan for Skeletal Few-Shot Action Recognition', in Lecture Notes in Computer Science, pp. 307 - 326, http://dx.doi.org/10.1007/978-3-031-26316-3_19
    Conference Papers | 2023
    Zhang H; Torr PHS; Koniusz P, 2023, 'Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer', in Lecture Notes in Computer Science, pp. 3 - 20, http://dx.doi.org/10.1007/978-3-031-26348-4_1
    Conference Papers | 2023
    Zhang Y; Zhu H; Chen Y; Song Z; Koniusz P; King I, 2023, 'Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective', in Advances in Neural Information Processing Systems
    Conference Papers | 2023
    Zhang Y; Zhu H; Song Z; Koniusz P; King I, 2023, 'Spectral Feature Augmentation for Graph Contrastive Learning and Beyond', in Proceedings of the 37th Aaai Conference on Artificial Intelligence Aaai 2023, pp. 11289 - 11297, http://dx.doi.org/10.1609/aaai.v37i9.26336
    Conference Papers | 2023
    Zhang Z; Wang L; Zhou L; Koniusz P, 2023, 'Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval', in Proceedings of the IEEE International Conference on Computer Vision, pp. 11216 - 11225, http://dx.doi.org/10.1109/ICCV51070.2023.01033
    Conference Papers | 2023
    Zhu H; Koniusz P, 2023, 'Transductive Few-Shot Learning with Prototype-Based Label Propagation by Iterative Graph Refinement', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 23996 - 24006, http://dx.doi.org/10.1109/CVPR52729.2023.02298
    Conference Papers | 2022
    Lu C; Koniusz P, 2022, 'Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 19394 - 19404, http://dx.doi.org/10.1109/CVPR52688.2022.01881
    Conference Papers | 2022
    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
    Conference Papers | 2022
    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
    Conference Papers | 2022
    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
    Conference Papers | 2022
    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
    Conference Papers | 2022
    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
    Conference Papers | 2022
    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
    Conference Papers | 2022
    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
    Conference Papers | 2022
    Zhang Y; Zhu H; Meng Z; Koniusz P; King I, 2022, 'Graph-adaptive Rectified Linear Unit for Graph Neural Networks', in Www 2022 Proceedings of the ACM Web Conference 2022, pp. 1331 - 1339, http://dx.doi.org/10.1145/3485447.3512159
    Conference Papers | 2022
    Zhang Y; Zhu H; Song Z; Koniusz P; King I, 2022, 'COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 2524 - 2534, http://dx.doi.org/10.1145/3534678.3539425
    Conference Papers | 2022
    Zhu H; Koniusz P, 2022, 'EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 9068 - 9078, http://dx.doi.org/10.1109/CVPR52688.2022.00887
    Conference Papers | 2022
    Zhu H; Koniusz P, 2022, 'Generalized Laplacian Eigenmaps', in Advances in Neural Information Processing Systems
    Preprints | 2021
    Shao W; Prabowo A; Zhao S; Koniusz P; Salim FD, 2021, Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map, http://dx.doi.org/10.1016/j.neucom.2021.04.136
    Conference Papers | 2021
    Simon C; Koniusz P; Harandi M, 2021, 'On Learning the Geodesic Path for Incremental Learning', in 2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021, IEEE COMPUTER SOC, ELECTR NETWORK, pp. 1591 - 1600, presented at IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), ELECTR NETWORK, 19 June 2021 - 25 June 2021, http://dx.doi.org/10.1109/CVPR46437.2021.00164
    Conference Papers | 2021
    Tas Y; Koniusz P, 2021, 'Simple Dialogue System with AUDITED', in 32nd British Machine Vision Conference Bmvc 2021
    Conference Papers | 2021
    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
    Conference Papers | 2021
    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
    Conference Papers | 2021
    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
    Conference Papers | 2021
    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
    Conference Papers | 2021
    Zhu H; Koniusz P, 2021, 'SIMPLE SPECTRAL GRAPH CONVOLUTION', in Iclr 2021 9th International Conference on Learning Representations
    Conference Papers | 2021
    Zhu H; Sun K; Koniusz P, 2021, 'Contrastive Laplacian Eigenmaps', in Advances in Neural Information Processing Systems, pp. 5682 - 5695
    Conference Papers | 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 Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 668 - 679, http://dx.doi.org/10.1007/978-3-030-63830-6_56
    Preprints | 2020
    Hou W; Suominen H; Koniusz P; Caldwell S; Gedeon T, 2020, A Token-wise CNN-based Method for Sentence Compression, http://dx.doi.org/10.48550/arxiv.2009.11260
    Conference Papers | 2020
    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
    Conference Papers | 2020
    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
    Conference Papers | 2020
    Wang X; Salim FD; Ren Y; Koniusz P, 2020, 'Relation Embedding for Personalised Translation-Based POI Recommendation', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 53 - 64, http://dx.doi.org/10.1007/978-3-030-47426-3_5
    Preprints | 2020
    Wang X; Salim FD; Ren Y; Koniusz P, 2020, Relation Embedding for Personalised POI Recommendation, http://dx.doi.org/10.1007/978-3-030-47426-3_5
    Conference Papers | 2020
    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
    Conference Papers | 2020
    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
    Conference Papers | 2019
    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
    Preprints | 2019
    Prabowo A; Koniusz P; Shao W; Salim FD, 2019, COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference, http://dx.doi.org/10.1145/3360322.3360853
    Conference Papers | 2019
    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
    Conference Papers | 2019
    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
    Conference Papers | 2019
    Sun K; Koniusz P; Wang Z, 2019, 'Fisher-Bures Adversary Graph Convolutional Networks', in Proceedings of Machine Learning Research, pp. 465 - 475
    Conference Papers | 2019
    Sun K; Koniusz P; Wang Z, 2019, 'Fisher-Bures adversary graph convolutional networks', in 35th Conference on Uncertainty in Artificial Intelligence Uai 2019
    Conference Papers | 2019
    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
    Conference Papers | 2019
    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
    Conference Papers | 2019
    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
    Conference Papers | 2019
    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
    Conference Papers | 2019
    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
    Conference Papers | 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
    Conference Papers | 2018
    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
    Conference Papers | 2018
    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
    Conference Papers | 2018
    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
    Conference Papers | 2018
    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
    Conference Papers | 2018
    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
    Conference Papers | 2017
    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
    Conference Papers | 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
    Conference Papers | 2017
    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
    Conference Papers | 2016
    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
    Conference Papers | 2016
    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
    Conference Papers | 2014
    Mairal J; Koniusz P; Harchaoui Z; Schmid C, 2014, 'Convolutional kernel networks', in Advances in Neural Information Processing Systems, pp. 2627 - 2635
    Conference Papers | 2011
    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
    Conference Papers | 2011
    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
    Conference Papers | 2010
    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
    Conference Papers | 2009
    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

Through work with his PhD students, he has received several awards such as:
  • the Sang Uk Lee Best Student Paper Award from ACCV’22
  • the Runner-up APRS/IAPR Best Student Paper Award from DICTA’22
  • the Best Paper Award for Science-fundamental Research from A&DS/Data61, 2024
  • the Merit Award from the Pattern Recognition and Machine Intelligence Association (PREMIA), Singapore, 2025

 

He serves/served as:

  • Workshop Program Chair for NeurIPS’23
  • Workshop Program Chair for The Web Conf. 2025
  • Program (Co)Chair for NeurIPS’25
  • Senior Area Chair for NeurIPS’23-24, ICLR’24-26, ICML’24-26, AISTATS 2026
  • Outstanding Area Chair by ICLR 2021–2023.

He will serve as Senior Workshop Program Chair for NeurIPS’26 (Sydney).