By Associate Professor Piotr Koniusz

Journal articles

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

Zhang Z; Rahman S; Koniusz P; Zhou L; Wang L, 2026, 'An Efficient End-to-End Framework for Localized Second-Order Pooling', Transactions on Machine Learning Research, 2026-June

Li Y; Dong J; Liu J; Koniusz P; Zeng H; Yang C; Liu J; Tian Y; Huang T; Wu H, 2026, 'Evolving Multimodal Models for Physical Dynamics: A Multi-objective Neuroevolution Approach', IEEE Transactions on Evolutionary Computation, http://dx.doi.org/10.1109/TEVC.2026.3698641

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Zheng Y; Keleş HY; Koniusz P, 2023, 'Preface', Lecture Notes in Computer Science, 13848 LNCS, pp. v

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

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

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

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

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

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

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

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

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

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