Piotr Koniusz

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 144

Top Venues

CoRR

CVPR

WACV

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Peipei Song, Jing Zhang, Piotr Koniusz, Nick Barnes
Learning Gaussian Representation for Eye Fixation Prediction. CoRR (2024)
Yao Ni, Piotr Koniusz
CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization. CoRR (2024)
Shan Zhang, Yao Ni, Jinhao Du, Yanxia Liu, Piotr Koniusz
Semantic Transfer from Head to Tail: Enlarging Tail Margin for Long-Tailed Visual Recognition. WACV (2024)
Peipei Song, Wenyu Li, Peiyan Zhong, Jing Zhang, Piotr Koniusz, Feng Duan, Nick Barnes
Synergizing triple attention with depth quality for RGB-D salient object detection. Neurocomputing 589 (2024)
Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT). Data Min. Knowl. Discov. 38 (3) (2024)
Yifei Zhang, Hao Zhu, Zixing Song, Yankai Chen, Xinyu Fu, Ziqiao Meng, Piotr Koniusz, Irwin King
Geometric View of Soft Decorrelation in Self-Supervised Learning. KDD (2024)
Lei Wang, Jun Liu, Liang Zheng, Tom Gedeon, Piotr Koniusz
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment. CoRR (2024)
Wenlong Shi, Changsheng Lu, Ming Shao, Yinjie Zhang, Siyu Xia, Piotr Koniusz
Few-shot Shape Recognition by Learning Deep Shape-aware Features. WACV (2024)
Changsheng Lu, Piotr Koniusz
Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector. AAAI (2024)
Qixiang Chen, Lei Wang, Piotr Koniusz, Tom Gedeon
Motion meets Attention: Video Motion Prompts. CoRR (2024)
Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz
Pre-training with Random Orthogonal Projection Image Modeling. ICLR (2024)
Hongguang Zhang, Limeng Zhang, Yuchao Dai, Hongdong Li, Piotr Koniusz
Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion Deblurring. Int. J. Comput. Vis. 131 (2) (2023)
Lei Wang, Piotr Koniusz, Tom Gedeon, Liang Zheng
Adaptive Multi-head Contrastive Learning. CoRR (2023)
Lei Wang, Piotr Koniusz
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition. CoRR (2023)
Yifei Zhang, Hao Zhu, Jiahong Liu, Piotr Koniusz, Irwin King
Alignment and Outer Shell Isotropy for Hyperbolic Graph Contrastive Learning. CoRR (2023)
Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun
Learning Partial Correlation based Deep Visual Representation for Image Classification. CoRR (2023)
Hao Zhu, Piotr Koniusz
Transductive Few-Shot Learning with Prototype-Based Label Propagation by Iterative Graph Refinement. CVPR (2023)
Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. CoRR (2023)
Hongguang Zhang, Limeng Zhang, Yuchao Dai, Hongdong Li, Piotr Koniusz
Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion Deblurring. CoRR (2023)
Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim
Message Passing Neural Networks for Traffic Forecasting. CoRR (2023)
Hao Zhu, Piotr Koniusz
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement. CoRR (2023)
Lei Wang, Piotr Koniusz
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition. CVPR (2023)
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting. IoTDI (2023)
Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. AAAI (2023)
Wenlong Shi, Changsheng Lu, Ming Shao, Yinjie Zhang, Siyu Xia, Piotr Koniusz
Few-shot Shape Recognition by Learning Deep Shape-aware Features. CoRR (2023)
Yifei Zhang, Hao Zhu, Yankai Chen, Zixing Song, Piotr Koniusz, Irwin King
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective. NeurIPS (2023)
Zhibin Li, Piotr Koniusz, Lu Zhang, Daniel Edward Pagendam, Peyman Moghadam
Exploiting Field Dependencies for Learning on Categorical Data. CoRR (2023)
Zhongyan Zhang, Lei Wang, Luping Zhou, Piotr Koniusz
Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval. ICCV (2023)
Hongguang Zhang, Hongdong Li, Piotr Koniusz
Multi-Level Second-Order Few-Shot Learning. IEEE Trans. Multim. 25 (2023)
Can Peng, Piotr Koniusz, Kaiyu Guo, Brian C. Lovell, Peyman Moghadam
Multivariate Prototype Representation for Domain-Generalized Incremental Learning. CoRR (2023)
Zhibin Li, Piotr Koniusz, Lu Zhang, Daniel Edward Pagendam, Peyman Moghadam
Exploiting Field Dependencies for Learning on Categorical Data. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun
Learning Partial Correlation based Deep Visual Representation for Image Classification. CVPR (2023)
Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz
Pre-training with Random Orthogonal Projection Image Modeling. CoRR (2023)
Changsheng Lu, Hao Zhu, Piotr Koniusz
From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detection. CoRR (2023)
Yujiao Shi, Xin Yu, Liu Liu, Dylan Campbell, Piotr Koniusz, Hongdong Li
Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting. CoRR (2023)
Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. CVPR (2023)
Lei Wang, Piotr Koniusz
Flow Dynamics Correction for Action Recognition. CoRR (2023)
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim
Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training. CoRR (2023)
Yao Ni, Piotr Koniusz
NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs. NeurIPS (2023)
Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi
Towards a Robust Differentiable Architecture Search under Label Noise. WACV (2022)
Changsheng Lu, Piotr Koniusz
Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species. CVPR (2022)
Lei Wang, Piotr Koniusz
Uncertainty-DTW for Time Series and Sequences. ECCV (21) (2022)
Shan Zhang, Naila Murray, Lei Wang, Piotr Koniusz
Time-rEversed DiffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection. ECCV (20) (2022)
Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King
Graph-adaptive Rectified Linear Unit for Graph Neural Networks. CoRR (2022)
Lei Wang, Piotr Koniusz
Uncertainty-DTW for Time Series and Sequences. CoRR (2022)
Shan Zhang, Naila Murray, Lei Wang, Piotr Koniusz
Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection. CoRR (2022)
Hao Zhu, Piotr Koniusz
EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning. CVPR (2022)
Lei Wang, Piotr Koniusz
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition. CoRR (2022)
Lei Wang, Piotr Koniusz
Temporal-Viewpoint Transportation Plan for Skeletal Few-Shot Action Recognition. ACCV (4) (2022)
Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. KDD (2022)
Shan Zhang, Lei Wang, Naila Murray, Piotr Koniusz
Kernelized Few-shot Object Detection with Efficient Integral Aggregation. CVPR (2022)
Hao Zhu, Piotr Koniusz
Generalized Laplacian Eigenmaps. NeurIPS (2022)
Hongguang Zhang, Hongdong Li, Piotr Koniusz
Multi-level Second-order Few-shot Learning. CoRR (2022)
Christian Simon, Piotr Koniusz, Mehrtash Harandi
Meta-Learning for Multi-Label Few-Shot Classification. WACV (2022)
Piotr Koniusz, Hongguang Zhang
Power Normalizations in Fine-Grained Image, Few-Shot Image and Graph Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Hongguang Zhang, Philip H. S. Torr, Piotr Koniusz
Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer. ACCV (5) (2022)
Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. CoRR (2022)
Yujiao Shi, Xin Yu, Liu Liu, Dylan Campbell, Piotr Koniusz, Hongdong Li
Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching. CoRR (2022)
Hao Zhu, Ke Sun, Piotr Koniusz
Contrastive Laplacian Eigenmaps. CoRR (2022)
Wei Shao, Arian Prabowo, Sichen Zhao, Piotr Koniusz, Flora D. Salim
Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map. Neurocomputing 472 (2022)
Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King
Graph-adaptive Rectified Linear Unit for Graph Neural Networks. WWW (2022)
Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. CoRR (2022)
Piotr Koniusz, Lei Wang, Anoop Cherian
Tensor Representations for Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Yao Ni, Piotr Koniusz, Richard I. Hartley, Richard Nock
Manifold Learning Benefits GANs. CVPR (2022)
Peipei Song, Jing Zhang, Piotr Koniusz, Nick Barnes
Multi-Modal Transformer for RGB-D Salient Object Detection. ICIP (2022)
Hao Zhu, Piotr Koniusz
REFINE: Random RangE FInder for Network Embedding. CoRR (2021)
Yusuf Tas, Piotr Koniusz
Simple Dialogue System with AUDITED. CoRR (2021)
Piotr Koniusz, Lei Wang, Ke Sun
High-order Tensor Pooling with Attention for Action Recognition. CoRR (2021)
Hao Zhu, Piotr Koniusz
Simple Spectral Graph Convolution. ICLR (2021)
Hao Zhu, Piotr Koniusz
REFINE: Random RangE FInder for Network Embedding. CIKM (2021)
Changsheng Lu, Piotr Koniusz
Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species. CoRR (2021)
Lei Wang, Jun Liu, Piotr Koniusz
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve. CoRR (2021)
Hao Zhu, Piotr Koniusz
Graph Convolutional Network with Generalized Factorized Bilinear Aggregation. CoRR (2021)
Yao Ni, Piotr Koniusz, Richard I. Hartley, Richard Nock
Manifold Learning Benefits GANs. CoRR (2021)
Hongguang Zhang, Piotr Koniusz, Songlei Jian, Hongdong Li, Philip H. S. Torr
Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning. CVPR (2021)
Christian Simon, Piotr Koniusz, Mehrtash Harandi
On Learning the Geodesic Path for Incremental Learning. CoRR (2021)
Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi
Towards a Robust Differentiable Architecture Search under Label Noise. CoRR (2021)
Christian Simon, Piotr Koniusz, Mehrtash Harandi
Meta-Learning for Multi-Label Few-Shot Classification. CoRR (2021)
Wei Shao, Arian Prabowo, Sichen Zhao, Piotr Koniusz, Flora D. Salim
Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map. CoRR (2021)
Lei Wang, Piotr Koniusz
Self-supervising Action Recognition by Statistical Moment and Subspace Descriptors. ACM Multimedia (2021)
Christian Simon, Piotr Koniusz, Mehrtash Harandi
On Learning the Geodesic Path for Incremental Learning. CVPR (2021)
Yusuf Tas, Piotr Koniusz
Simple Dialogue System with AUDITED. BMVC (2021)
Lei Wang, Du Q. Huynh, Piotr Koniusz
A Comparative Review of Recent Kinect-Based Action Recognition Algorithms. IEEE Trans. Image Process. 29 (2020)
Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz
Relation Embedding for Personalised POI Recommendation. CoRR (2020)
Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H. S. Torr, Piotr Koniusz
Few-Shot Action Recognition with Permutation-Invariant Attention. ECCV (5) (2020)
Piotr Koniusz, Hongguang Zhang
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification. CoRR (2020)
Weiwei Hou, Hanna Suominen, Piotr Koniusz, Sabrina B. Caldwell, Tom Gedeon
A Token-Wise CNN-Based Method for Sentence Compression. ICONIP (1) (2020)
Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H. S. Torr, Piotr Koniusz
Few-shot Action Recognition via Improved Attention with Self-supervision. CoRR (2020)
Shan Zhang, Dawei Luo, Lei Wang, Piotr Koniusz
Few-Shot Object Detection by Second-Order Pooling. ACCV (4) (2020)
Weiwei Hou, Hanna Suominen, Piotr Koniusz, Sabrina B. Caldwell, Tom Gedeon
A Token-wise CNN-based Method for Sentence Compression. CoRR (2020)
Lei Wang, Piotr Koniusz
Hallucinating Statistical Moment and Subspace Descriptors from Object and Saliency Detectors for Action Recognition. CoRR (2020)
Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi
On Modulating the Gradient for Meta-learning. ECCV (8) (2020)
Piotr Koniusz, Lei Wang, Anoop Cherian
Tensor Representations for Action Recognition. CoRR (2020)
Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz
Relation Embedding for Personalised Translation-Based POI Recommendation. PAKDD (1) (2020)
Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi
Adaptive Subspaces for Few-Shot Learning. CVPR (2020)
Xin Yu, Zheyu Zhuang, Piotr Koniusz, Hongdong Li
6DoF Object Pose Estimation via Differentiable Proxy Voting Loss. CoRR (2020)
Xin Yu, Zheyu Zhuang, Piotr Koniusz, Hongdong Li
6DoF Object Pose Estimation via Differentiable Proxy Voting Regularizer. BMVC (2020)
Hongguang Zhang, Philip H. S. Torr, Hongdong Li, Songlei Jian, Piotr Koniusz
Rethinking Class Relations: Absolute-relative Few-shot Learning. CoRR (2020)
Hongguang Zhang, Philip H. S. Torr, Piotr Koniusz
Few-shot Learning with Multi-scale Self-supervision. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Piotr Koniusz