| 2026 | AAAI | Learning Time in Static Classifiers. | Xi Ding, Lei Wang, Piotr Koniusz, Yongsheng Gao |
| 2026 | AAAI | Feature Hallucination for Self-supervised Action Recognition (Abstract Reprint). | Lei Wang, Piotr Koniusz |
| 2025 | AISTATS | Protein Fitness Landscape: Spectral Graph Theory Perspective. | Hao Zhu, Daniel M. Steinberg, Piotr Koniusz |
| 2025 | CVPR | Open-World Objectness Modeling Unifies Novel Object Detection. | Shan Zhang, Yao Ni, Jinhao Du, Yuan Xue, Philip Torr, Piotr Koniusz, Anton van den Hengel |
| 2025 | CVPR | Noise Consistency Regularization for Improved Subject-Driven Image Synthesis. | Yao Ni, Song Wen, Piotr Koniusz, Anoop Cherian |
| 2025 | CVPR | BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning. | Hao Zhu, Yifei Zhang, Junhao Dong, Piotr Koniusz |
| 2025 | ICCV | Robustifying Zero-Shot Vision Language Models by Subspaces Alignment. | Junhao Dong, Piotr Koniusz, Liaoyuan Feng, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong |
| 2025 | ICLR | Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion. | Dexuan Ding, Lei Wang, Liyun Zhu, Tom Gedeon, Piotr Koniusz |
| 2025 | ICML | Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices. | Junhao Dong, Piotr Koniusz, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong |
| 2025 | ICML | Primitive Vision: Improving Diagram Understanding in MLLMs. | Shan Zhang, Aotian Chen, Yanpeng Sun, Jindong Gu, Yi-Yu Zheng, Piotr Koniusz, Kai Zou, Anton van den Hengel, Yuan Xue |
| 2025 | KDD | Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMs. | Junhao Dong, Piotr Koniusz, Xinghua Qu, Yew-Soon Ong |
| 2025 | KDD | Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning. | Yifei Zhang, Hao Zhu, Menglin Yang, Jiahong Liu, Rex Ying, Irwin King, Piotr Koniusz |
| 2025 | WWW | WWW 2025 Workshop Chairs' Welcome. | Piotr Koniusz, Weizhi Ma |
| 2025 | WWW | Graph Self-Supervised Learning with Learnable Structural and Positional Encodings. | Asiri Wijesinghe, Hao Zhu, Piotr Koniusz |
| 2025 | WSDM | Inductive Graph Few-shot Class Incremental Learning. | Yayong Li, Peyman Moghadam, Can Peng, Nan Ye, Piotr Koniusz |
| 2024 | AAAI | Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector. | Changsheng Lu, Piotr Koniusz |
| 2024 | ACML | Motion meets Attention: Video Motion Prompts. | Qixiang Chen, Lei Wang, Piotr Koniusz, Tom Gedeon |
| 2024 | CVPR | Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples. | Junhao Dong, Piotr Koniusz, Junxi Chen, Z. Jane Wang, Yew-Soon Ong |
| 2024 | CVPR | Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners. | Junhao Dong, Piotr Koniusz, Junxi Chen, Xiaohua Xie, Yew-Soon Ong |
| 2024 | CVPR | $\bigcirc\!\!\!\!\bigcirc$ CHAIN: Enhancing Generalization in Data-Efficient GANs via LipsCHitz Continuity ConstrAIned Normalization. | Yao Ni, Piotr Koniusz |
| 2024 | ECCV | Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap. | Junhao Dong, Piotr Koniusz, Junxi Chen, Yew-Soon Ong |
| 2024 | ECCV | OpenKD: Opening Prompt Diversity for Zero- and Few-Shot Keypoint Detection. | Changsheng Lu, Zheyuan Liu, Piotr Koniusz |
| 2024 | ECCV | Adaptive Multi-head Contrastive Learning. | Lei Wang, Piotr Koniusz, Tom Gedeon, Liang Zheng |
| 2024 | ICLR | Pre-training with Random Orthogonal Projection Image Modeling. | Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz |
| 2024 | KDD | Geometric View of Soft Decorrelation in Self-Supervised Learning. | Yifei Zhang, Hao Zhu, Zixing Song, Yankai Chen, Xinyu Fu, Ziqiao Meng, Piotr Koniusz, Irwin King |
| 2024 | WACV | Few-shot Shape Recognition by Learning Deep Shape-aware Features. | Wenlong Shi, Changsheng Lu, Ming Shao, Yinjie Zhang, Siyu Xia, Piotr Koniusz |
| 2024 | WACV | Semantic Transfer from Head to Tail: Enlarging Tail Margin for Long-Tailed Visual Recognition. | Shan Zhang, Yao Ni, Jinhao Du, Yanxia Liu, Piotr Koniusz |
| 2023 | AAAI | Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. | Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King |
| 2023 | CVPR | Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. | Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray |
| 2023 | CVPR | Learning Partial Correlation based Deep Visual Representation for Image Classification. | Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun |
| 2023 | CVPR | 3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition. | Lei Wang, Piotr Koniusz |
| 2023 | CVPR | Transductive Few-Shot Learning with Prototype-Based Label Propagation by Iterative Graph Refinement. | Hao Zhu, Piotr Koniusz |
| 2023 | ICCV | Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval. | Zhongyan Zhang, Lei Wang, Luping Zhou, Piotr Koniusz |
| 2022 | ACCV | Temporal-Viewpoint Transportation Plan for Skeletal Few-Shot Action Recognition. | Lei Wang, Piotr Koniusz |
| 2022 | ACCV | Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer. | Hongguang Zhang, Philip H. S. Torr, Piotr Koniusz |
| 2022 | CVPR | Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species. | Changsheng Lu, Piotr Koniusz |
| 2022 | CVPR | Manifold Learning Benefits GANs. | Yao Ni, Piotr Koniusz, Richard I. Hartley, Richard Nock |
| 2022 | CVPR | Kernelized Few-shot Object Detection with Efficient Integral Aggregation. | Shan Zhang, Lei Wang, Naila Murray, Piotr Koniusz |
| 2022 | CVPR | EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning. | Hao Zhu, Piotr Koniusz |
| 2022 | ECCV | Uncertainty-DTW for Time Series and Sequences. | Lei Wang, Piotr Koniusz |
| 2022 | ECCV | Time-rEversed DiffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection. | Shan Zhang, Naila Murray, Lei Wang, Piotr Koniusz |
| 2022 | ICIP | Multi-Modal Transformer for RGB-D Salient Object Detection. | Peipei Song, Jing Zhang, Piotr Koniusz, Nick Barnes |
| 2022 | KDD | COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. | Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King |
| 2022 | WWW | Graph-adaptive Rectified Linear Unit for Graph Neural Networks. | Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King |
| 2022 | WACV | Meta-Learning for Multi-Label Few-Shot Classification. | Christian Simon, Piotr Koniusz, Mehrtash Harandi |
| 2022 | WACV | Towards a Robust Differentiable Architecture Search under Label Noise. | Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi |
| 2021 | BMVC | Simple Dialogue System with AUDITED. | Yusuf Tas, Piotr Koniusz |
| 2021 | CIKM | REFINE: Random RangE FInder for Network Embedding. | Hao Zhu, Piotr Koniusz |
| 2021 | CVPR | On Learning the Geodesic Path for Incremental Learning. | Christian Simon, Piotr Koniusz, Mehrtash Harandi |
| 2021 | CVPR | Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning. | Hongguang Zhang, Piotr Koniusz, Songlei Jian, Hongdong Li, Philip H. S. Torr |
| 2021 | ICLR | Simple Spectral Graph Convolution. | Hao Zhu, Piotr Koniusz |
| 2020 | ACCV | Few-Shot Object Detection by Second-Order Pooling. | Shan Zhang, Dawei Luo, Lei Wang, Piotr Koniusz |
| 2020 | BMVC | 6DoF Object Pose Estimation via Differentiable Proxy Voting Regularizer. | Xin Yu, Zheyu Zhuang, Piotr Koniusz, Hongdong Li |
| 2020 | CVPR | Adaptive Subspaces for Few-Shot Learning. | Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi |
| 2020 | ECCV | On Modulating the Gradient for Meta-learning. | Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi |
| 2020 | ECCV | Few-Shot Action Recognition with Permutation-Invariant Attention. | Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H. S. Torr, Piotr Koniusz |
| 2020 | ICONIP | A Token-Wise CNN-Based Method for Sentence Compression. | Weiwei Hou, Hanna Suominen, Piotr Koniusz, Sabrina B. Caldwell, Tom Gedeon |
| 2020 | PAKDD | Relation Embedding for Personalised Translation-Based POI Recommendation. | Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz |
| 2019 | CVPR | Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring. | Hongguang Zhang, Yuchao Dai, Hongdong Li, Piotr Koniusz |
| 2019 | CVPR | Few-Shot Learning via Saliency-Guided Hallucination of Samples. | Hongguang Zhang, Jing Zhang, Piotr Koniusz |
| 2019 | ICCV | Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition With CNNs. | Lei Wang, Piotr Koniusz, Du Huynh |
| 2019 | WACV | Recovering Faces From Portraits with Auxiliary Facial Attributes. | Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard Hartley, Piotr Koniusz |
| 2019 | WACV | Power Normalizing Second-Order Similarity Network for Few-Shot Learning. | Hongguang Zhang, Piotr Koniusz |
| 2019 | UAI | Fisher-Bures Adversary Graph Convolutional Networks. | Ke Sun, Piotr Koniusz, Zhen Wang |
| 2019 | SENSYS | COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference. | Arian Prabowo, Piotr Koniusz, Wei Shao, Flora D. Salim |
| 2018 | BMVC | CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps. | Yusuf Tas, Piotr Koniusz |
| 2018 | CVPR | A Deeper Look at Power Normalizations. | Piotr Koniusz, Hongguang Zhang, Fatih Porikli |
| 2018 | CVPR | Zero-Shot Kernel Learning. | Hongguang Zhang, Piotr Koniusz |
| 2018 | ECCV | Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond. | Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Tafazzoli Harandi, Fatih Porikli, Rui Zhang |
| 2018 | ECCV | Second-Order Democratic Aggregation. | Tsung-Yu Lin, Subhransu Maji, Piotr Koniusz |
| 2018 | ECCV | Model Selection for Generalized Zero-Shot Learning. | Hongguang Zhang, Piotr Koniusz |
| 2018 | WACV | Identity-Preserving Face Recovery from Portraits. | Fatemeh Shiri, Fatih Porikli, Richard Hartley, Piotr Koniusz |
| 2017 | CVPR | Domain Adaptation by Mixture of Alignments of Second-or Higher-Order Scatter Tensors. | Piotr Koniusz, Yusuf Tas, Fatih Porikli |
| 2017 | DICTA | Face Destylization. | Fatemeh Shiri, Xin Yu, Piotr Koniusz, Fatih Porikli |
| 2017 | WACV | Higher-Order Pooling of CNN Features via Kernel Linearization for Action Recognition. | Anoop Cherian, Piotr Koniusz, Stephen Gould |
| 2016 | CVPR | Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors with Application to Texture Recognition. | Piotr Koniusz, Anoop Cherian |
| 2016 | ECCV | Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons. | Piotr Koniusz, Anoop Cherian, Fatih Porikli |
| 2011 | ICIP | Spatial Coordinate Coding to reduce histogram representations, Dominant Angle and Colour Pyramid Match. | Piotr Koniusz, Krystian Mikolajczyk |
| 2011 | ICIP | Soft assignment of visual words as Linear Coordinate Coding and optimisation of its reconstruction error. | Piotr Koniusz, Krystian Mikolajczyk |
| 2010 | ICPR | On a Quest for Image Descriptors Based on Unsupervised Segmentation Maps. | Piotr Koniusz, Krystian Mikolajczyk |
| 2009 | BMVC | Segmentation Based Interest Points and Evaluation of Unsupervised Image Segmentation Methods. | Piotr Koniusz, Krystian Mikolajczyk |