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2020 – today
- 2024
[j16]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): 913-937 (2024)- [j15]Lei Wang, Jun Liu, Liang Zheng, Tom Gedeon, Piotr Koniusz:
Meet JEANIE: A Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment. Int. J. Comput. Vis. 132(9): 4091-4122 (2024) - [j14]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: 127672 (2024) - [c71]Changsheng Lu, Piotr Koniusz:
Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector. AAAI 2024: 3882-3890 - [c70]Yao Ni, Piotr Koniusz:
$\bigcirc\!\!\!\!\bigcirc$ CHAIN: Enhancing Generalization in Data-Efficient GANs via LipsCHitz Continuity ConstrAIned Normalization. CVPR 2024: 6763-6774 - [c69]Junhao Dong, Piotr Koniusz, Junxi Chen, Z. Jane Wang, Yew-Soon Ong:
Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples. CVPR 2024: 28432-28442 - [c68]Junhao Dong, Piotr Koniusz, Junxi Chen, Xiaohua Xie, Yew-Soon Ong:
Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners. CVPR 2024: 28535-28544 - [c67]Junhao Dong, Piotr Koniusz, Junxi Chen, Yew-Soon Ong:
Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap. ECCV (4) 2024: 92-111 - [c66]Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz:
Pre-training with Random Orthogonal Projection Image Modeling. ICLR 2024 - [c65]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: 4338-4349 - [c64]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: 1339-1349 - [c63]Wenlong Shi, Changsheng Lu, Ming Shao, Yinjie Zhang, Siyu Xia, Piotr Koniusz:
Few-shot Shape Recognition by Learning Deep Shape-aware Features. WACV 2024: 1837-1848 - [i77]Lei Wang, Jun Liu, Liang Zheng, Tom Gedeon, Piotr Koniusz:
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment. CoRR abs/2402.04599 (2024) - [i76]Peipei Song, Jing Zhang, Piotr Koniusz, Nick Barnes:
Learning Gaussian Representation for Eye Fixation Prediction. CoRR abs/2403.14821 (2024) - [i75]Yao Ni, Piotr Koniusz:
CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization. CoRR abs/2404.00521 (2024) - [i74]Qixiang Chen, Lei Wang, Piotr Koniusz, Tom Gedeon:
Motion meets Attention: Video Motion Prompts. CoRR abs/2407.03179 (2024) - [i73]Sutharsan Mahendren, Saimunur Rahman, Piotr Koniusz, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings. CoRR abs/2409.15832 (2024) - [i72]Yao Ni, Shan Zhang, Piotr Koniusz:
PACE: marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization. CoRR abs/2409.17137 (2024) - [i71]Changsheng Lu, Zheyuan Liu, Piotr Koniusz:
OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection. CoRR abs/2409.19899 (2024) - [i70]Dexuan Ding, Lei Wang, Liyun Zhu, Tom Gedeon, Piotr Koniusz:
LEGO: Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion. CoRR abs/2410.01506 (2024) - 2023
- [j13]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): 453-470 (2023) - [j12]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): 2682-2697 (2023) - [j11]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): 13509-13522 (2023) - [j10]Hongguang Zhang, Hongdong Li, Piotr Koniusz:
Multi-Level Second-Order Few-Shot Learning. IEEE Trans. Multim. 25: 2111-2126 (2023) - [c62]Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King:
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. AAAI 2023: 11289-11297 - [c61]Lei Wang, Piotr Koniusz:
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition. CVPR 2023: 5620-5631 - [c60]Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun:
Learning Partial Correlation based Deep Visual Representation for Image Classification. CVPR 2023: 6231-6240 - [c59]Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray:
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. CVPR 2023: 19627-19638 - [c58]Hao Zhu, Piotr Koniusz:
Transductive Few-Shot Learning with Prototype-Based Label Propagation by Iterative Graph Refinement. CVPR 2023: 23996-24006 - [c57]Zhongyan Zhang, Lei Wang, Luping Zhou, Piotr Koniusz:
Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval. ICCV 2023: 11216-11225 - [c56]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: 93-104 - [c55]Yao Ni, Piotr Koniusz:
NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs. NeurIPS 2023 - [c54]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 - [e1]Yinqiang Zheng, Hacer Yalim Keles, Piotr Koniusz:
Computer Vision - ACCV 2022 Workshops - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13848, Springer 2023, ISBN 978-3-031-27065-9 [contents] - [i69]Hongguang Zhang, Limeng Zhang, Yuchao Dai, Hongdong Li, Piotr Koniusz:
Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion Deblurring. CoRR abs/2302.07689 (2023) - [i68]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 abs/2302.09956 (2023) - [i67]Lei Wang, Piotr Koniusz:
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition. CoRR abs/2303.14474 (2023) - [i66]Changsheng Lu, Hao Zhu, Piotr Koniusz:
From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detection. CoRR abs/2304.03140 (2023) - [i65]Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun:
Learning Partial Correlation based Deep Visual Representation for Image Classification. CoRR abs/2304.11597 (2023) - [i64]Hao Zhu, Piotr Koniusz:
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement. CoRR abs/2304.11598 (2023) - [i63]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 abs/2305.05237 (2023) - [i62]Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim:
Message Passing Neural Networks for Traffic Forecasting. CoRR abs/2305.05740 (2023) - [i61]Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray:
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. CoRR abs/2307.03407 (2023) - [i60]Zhibin Li, Piotr Koniusz, Lu Zhang, Daniel Edward Pagendam, Peyman Moghadam:
Exploiting Field Dependencies for Learning on Categorical Data. CoRR abs/2307.09321 (2023) - [i59]Can Peng, Piotr Koniusz, Kaiyu Guo, Brian C. Lovell, Peyman Moghadam:
Multivariate Prototype Representation for Domain-Generalized Incremental Learning. CoRR abs/2309.13563 (2023) - [i58]Lei Wang, Piotr Koniusz, Tom Gedeon, Liang Zheng:
Adaptive Multi-head Contrastive Learning. CoRR abs/2310.05615 (2023) - [i57]Lei Wang, Piotr Koniusz:
Flow Dynamics Correction for Action Recognition. CoRR abs/2310.10059 (2023) - [i56]Yifei Zhang, Hao Zhu, Jiahong Liu, Piotr Koniusz, Irwin King:
Alignment and Outer Shell Isotropy for Hyperbolic Graph Contrastive Learning. CoRR abs/2310.18209 (2023) - [i55]Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz:
Pre-training with Random Orthogonal Projection Image Modeling. CoRR abs/2310.18737 (2023) - [i54]Wenlong Shi, Changsheng Lu, Ming Shao, Yinjie Zhang, Siyu Xia, Piotr Koniusz:
Few-shot Shape Recognition by Learning Deep Shape-aware Features. CoRR abs/2312.01315 (2023) - 2022
- [j9]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: 280-293 (2022) - [j8]Piotr Koniusz, Hongguang Zhang:
Power Normalizations in Fine-Grained Image, Few-Shot Image and Graph Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 591-609 (2022) - [j7]Piotr Koniusz, Lei Wang, Anoop Cherian:
Tensor Representations for Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 648-665 (2022) - [c53]Hongguang Zhang, Philip H. S. Torr, Piotr Koniusz:
Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer. ACCV (5) 2022: 3-20 - [c52]Lei Wang, Piotr Koniusz:
Temporal-Viewpoint Transportation Plan for Skeletal Few-Shot Action Recognition. ACCV (4) 2022: 307-326 - [c51]Hao Zhu, Piotr Koniusz:
EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning. CVPR 2022: 9068-9078 - [c50]Yao Ni, Piotr Koniusz, Richard I. Hartley, Richard Nock:
Manifold Learning Benefits GANs. CVPR 2022: 11255-11264 - [c49]Shan Zhang, Lei Wang, Naila Murray, Piotr Koniusz:
Kernelized Few-shot Object Detection with Efficient Integral Aggregation. CVPR 2022: 19185-19194 - [c48]Changsheng Lu, Piotr Koniusz:
Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species. CVPR 2022: 19394-19404 - [c47]Lei Wang, Piotr Koniusz:
Uncertainty-DTW for Time Series and Sequences. ECCV (21) 2022: 176-195 - [c46]Shan Zhang, Naila Murray, Lei Wang, Piotr Koniusz:
Time-rEversed DiffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection. ECCV (20) 2022: 310-328 - [c45]Peipei Song, Jing Zhang, Piotr Koniusz, Nick Barnes:
Multi-Modal Transformer for RGB-D Salient Object Detection. ICIP 2022: 2466-2470 - [c44]Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King:
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. KDD 2022: 2524-2534 - [c43]Hao Zhu, Piotr Koniusz:
Generalized Laplacian Eigenmaps. NeurIPS 2022 - [c42]Christian Simon, Piotr Koniusz, Mehrtash Harandi:
Meta-Learning for Multi-Label Few-Shot Classification. WACV 2022: 346-355 - [c41]Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi:
Towards a Robust Differentiable Architecture Search under Label Noise. WACV 2022: 3584-3594 - [c40]Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King:
Graph-adaptive Rectified Linear Unit for Graph Neural Networks. WWW 2022: 1331-1339 - [i53]Hao Zhu, Ke Sun, Piotr Koniusz:
Contrastive Laplacian Eigenmaps. CoRR abs/2201.05493 (2022) - [i52]Hongguang Zhang, Hongdong Li, Piotr Koniusz:
Multi-level Second-order Few-shot Learning. CoRR abs/2201.05916 (2022) - [i51]Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King:
Graph-adaptive Rectified Linear Unit for Graph Neural Networks. CoRR abs/2202.06281 (2022) - [i50]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 abs/2203.14148 (2022) - [i49]Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King:
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. CoRR abs/2206.04726 (2022) - [i48]Lei Wang, Piotr Koniusz:
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition. CoRR abs/2210.16820 (2022) - [i47]Shan Zhang, Naila Murray, Lei Wang, Piotr Koniusz:
Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection. CoRR abs/2210.16897 (2022) - [i46]Lei Wang, Piotr Koniusz:
Uncertainty-DTW for Time Series and Sequences. CoRR abs/2211.00005 (2022) - [i45]Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King:
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. CoRR abs/2212.01026 (2022) - 2021
- [c39]Yusuf Tas, Piotr Koniusz:
Simple Dialogue System with AUDITED. BMVC 2021: 203 - [c38]Hao Zhu, Piotr Koniusz:
REFINE: Random RangE FInder for Network Embedding. CIKM 2021: 3682-3686 - [c37]Christian Simon, Piotr Koniusz, Mehrtash Harandi:
On Learning the Geodesic Path for Incremental Learning. CVPR 2021: 1591-1600 - [c36]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: 9432-9441 - [c35]Hao Zhu, Piotr Koniusz:
Simple Spectral Graph Convolution. ICLR 2021 - [c34]Lei Wang, Piotr Koniusz:
Self-supervising Action Recognition by Statistical Moment and Subspace Descriptors. ACM Multimedia 2021: 4324-4333 - [c33]Hao Zhu, Ke Sun, Peter Koniusz:
Contrastive Laplacian Eigenmaps. NeurIPS 2021: 5682-5695 - [i44]Christian Simon, Piotr Koniusz, Mehrtash Harandi:
On Learning the Geodesic Path for Incremental Learning. CoRR abs/2104.08572 (2021) - [i43]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 abs/2105.08969 (2021) - [i42]Hao Zhu, Piotr Koniusz:
Graph Convolutional Network with Generalized Factorized Bilinear Aggregation. CoRR abs/2107.11666 (2021) - [i41]Hao Zhu, Piotr Koniusz:
REFINE: Random RangE FInder for Network Embedding. CoRR abs/2108.10703 (2021) - [i40]Piotr Koniusz, Lei Wang, Ke Sun:
High-order Tensor Pooling with Attention for Action Recognition. CoRR abs/2110.05216 (2021) - [i39]Yusuf Tas, Piotr Koniusz:
Simple Dialogue System with AUDITED. CoRR abs/2110.11881 (2021) - [i38]Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi:
Towards a Robust Differentiable Architecture Search under Label Noise. CoRR abs/2110.12197 (2021) - [i37]Christian Simon, Piotr Koniusz, Mehrtash Harandi:
Meta-Learning for Multi-Label Few-Shot Classification. CoRR abs/2110.13494 (2021) - [i36]Changsheng Lu, Piotr Koniusz:
Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species. CoRR abs/2112.06183 (2021) - [i35]Yao Ni, Piotr Koniusz, Richard I. Hartley, Richard Nock:
Manifold Learning Benefits GANs. CoRR abs/2112.12618 (2021) - [i34]Lei Wang, Jun Liu, Piotr Koniusz:
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve. CoRR abs/2112.12668 (2021) - 2020
- [j6]Lei Wang, Du Q. Huynh, Piotr Koniusz:
A Comparative Review of Recent Kinect-Based Action Recognition Algorithms. IEEE Trans. Image Process. 29: 15-28 (2020) - [c32]Shan Zhang, Dawei Luo, Lei Wang, Piotr Koniusz:
Few-Shot Object Detection by Second-Order Pooling. ACCV (4) 2020: 369-387 - [c31]Xin Yu, Zheyu Zhuang, Piotr Koniusz, Hongdong Li:
6DoF Object Pose Estimation via Differentiable Proxy Voting Regularizer. BMVC 2020 - [c30]Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi:
Adaptive Subspaces for Few-Shot Learning. CVPR 2020: 4135-4144 - [c29]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: 525-542 - [c28]Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi:
On Modulating the Gradient for Meta-learning. ECCV (8) 2020: 556-572 - [c27]Weiwei Hou, Hanna Suominen, Piotr Koniusz, Sabrina B. Caldwell, Tom Gedeon:
A Token-Wise CNN-Based Method for Sentence Compression. ICONIP (1) 2020: 668-679 - [c26]Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz:
Relation Embedding for Personalised Translation-Based POI Recommendation. PAKDD (1) 2020: 53-64 - [i33]Hongguang Zhang, Philip H. S. Torr, Piotr Koniusz:
Few-shot Learning with Multi-scale Self-supervision. CoRR abs/2001.01600 (2020) - [i32]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 abs/2001.03905 (2020) - [i31]Hongguang Zhang, Philip H. S. Torr, Hongdong Li, Songlei Jian, Piotr Koniusz:
Rethinking Class Relations: Absolute-relative Few-shot Learning. CoRR abs/2001.03919 (2020) - [i30]Lei Wang, Piotr Koniusz:
Hallucinating Statistical Moment and Subspace Descriptors from Object and Saliency Detectors for Action Recognition. CoRR abs/2001.04627 (2020) - [i29]Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz:
Relation Embedding for Personalised POI Recommendation. CoRR abs/2002.03461 (2020) - [i28]Xin Yu, Zheyu Zhuang, Piotr Koniusz, Hongdong Li:
6DoF Object Pose Estimation via Differentiable Proxy Voting Loss. CoRR abs/2002.03923 (2020) - [i27]Weiwei Hou, Hanna Suominen, Piotr Koniusz, Sabrina B. Caldwell, Tom Gedeon:
A Token-wise CNN-based Method for Sentence Compression. CoRR abs/2009.11260 (2020) - [i26]Piotr Koniusz, Hongguang Zhang:
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification. CoRR abs/2012.13975 (2020) - [i25]Piotr Koniusz, Lei Wang, Anoop Cherian:
Tensor Representations for Action Recognition. CoRR abs/2012.14371 (2020)
2010 – 2019
- 2019
- [j5]Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard Hartley, Piotr Koniusz:
Identity-Preserving Face Recovery from Stylized Portraits. Int. J. Comput. Vis. 127(6-7): 863-883 (2019) - [c25]Hongguang Zhang, Jing Zhang, Piotr Koniusz:
Few-Shot Learning via Saliency-Guided Hallucination of Samples. CVPR 2019: 2770-2779 - [c24]Hongguang Zhang, Yuchao Dai, Hongdong Li, Piotr Koniusz:
Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring. CVPR 2019: 5978-5986 - [c23]Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Koniusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora D. Salim:
Flight Delay Prediction using Airport Situational Awareness Map. SIGSPATIAL/GIS 2019: 432-435 - [c22]Lei Wang, Piotr Koniusz, Du Huynh:
Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition With CNNs. ICCV 2019: 8697-8707 - [c21]Arian Prabowo, Piotr Koniusz, Wei Shao, Flora D. Salim:
COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference. BuildSys@SenSys 2019: 21-30 - [c20]Ke Sun, Piotr Koniusz, Zhen Wang:
Fisher-Bures Adversary Graph Convolutional Networks. UAI 2019: 465-475 - [c19]Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard Hartley, Piotr Koniusz:
Recovering Faces From Portraits with Auxiliary Facial Attributes. WACV 2019: 406-415 - [c18]Hongguang Zhang, Piotr Koniusz:
Power Normalizing Second-Order Similarity Network for Few-Shot Learning. WACV 2019: 1185-1193 - [i24]Ke Sun, Piotr Koniusz, Zhen Wang:
Fisher-Bures Adversary Graph Convolutional Networks. CoRR abs/1903.04154 (2019) - [i23]Hongguang Zhang, Yuchao Dai, Hongdong Li, Piotr Koniusz:
Deep Stacked Hierarchical Multi-patch Network for Image Deblurring. CoRR abs/1904.03468 (2019) - [i22]Hongguang Zhang, Jing Zhang, Piotr Koniusz:
Few-Shot Learning via Saliency-guided Hallucination of Samples. CoRR abs/1904.03472 (2019) - [i21]Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard I. Hartley, Piotr Koniusz:
Recovering Faces from Portraits with Auxiliary Facial Attributes. CoRR abs/1904.03612 (2019) - [i20]Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard I. Hartley, Piotr Koniusz:
Identity-preserving Face Recovery from Stylized Portraits. CoRR abs/1904.04241 (2019) - [i19]Lei Wang, Piotr Koniusz, Du Q. Huynh:
Hallucinating Bag-of-Words and Fisher Vector IDT terms for CNN-based Action Recognition. CoRR abs/1906.05910 (2019) - [i18]Lei Wang, Du Q. Huynh, Piotr Koniusz:
A Comparative Review of Recent Kinect-based Action Recognition Algorithms. CoRR abs/1906.09955 (2019) - [i17]Arian Prabowo, Piotr Koniusz, Wei Shao, Flora D. Salim:
COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference. CoRR abs/1909.11048 (2019) - [i16]Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Koniusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora D. Salim:
Flight Delay Prediction using Airport Situational Awareness Map. CoRR abs/1911.01605 (2019) - 2018
- [c17]Yusuf Tas, Piotr Koniusz:
CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps. BMVC 2018: 158 - [c16]Piotr Koniusz, Hongguang Zhang, Fatih Porikli:
A Deeper Look at Power Normalizations. CVPR 2018: 5774-5783 - [c15]Hongguang Zhang, Piotr Koniusz:
Zero-Shot Kernel Learning. CVPR 2018: 7670-7679 - [c14]Hongguang Zhang, Piotr Koniusz:
Model Selection for Generalized Zero-Shot Learning. ECCV Workshops (2) 2018: 198-204 - [c13]Tsung-Yu Lin, Subhransu Maji, Piotr Koniusz:
Second-Order Democratic Aggregation. ECCV (3) 2018: 639-656 - [c12]Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Tafazzoli Harandi, Fatih Porikli, Rui Zhang:
Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond. ECCV (16) 2018: 815-833 - [c11]Fatemeh Shiri, Fatih Porikli, Richard Hartley, Piotr Koniusz:
Identity-Preserving Face Recovery from Portraits. WACV 2018: 102-111 - [i15]Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard Hartley, Piotr Koniusz:
Identity-preserving Face Recovery from Portraits. CoRR abs/1801.02279 (2018) - [i14]Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Tafazzoli Harandi, Fatih Porikli, Rui Zhang:
Museum Exhibit Identification Challenge for Domain Adaptation and Beyond. CoRR abs/1802.01093 (2018) - [i13]Fatemeh Shiri, Xin Yu, Fatih Porikli, Piotr Koniusz:
Face Destylization. CoRR abs/1802.01237 (2018) - [i12]Hongguang Zhang, Piotr Koniusz:
Zero-Shot Kernel Learning. CoRR abs/1802.01279 (2018) - [i11]Yusuf Tas, Piotr Koniusz:
CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps. CoRR abs/1806.09078 (2018) - [i10]Rui Zhang, Yusuf Tas, Piotr Koniusz:
Artwork Identification from Wearable Camera Images for Enhancing Experience of Museum Audiences. CoRR abs/1806.09084 (2018) - [i9]Piotr Koniusz, Hongguang Zhang, Fatih Porikli:
A Deeper Look at Power Normalizations. CoRR abs/1806.09183 (2018) - [i8]Tsung-Yu Lin, Subhransu Maji, Piotr Koniusz:
Second-order Democratic Aggregation. CoRR abs/1808.07503 (2018) - [i7]Hongguang Zhang, Piotr Koniusz:
Model Selection for Generalized Zero-shot Learning. CoRR abs/1811.03252 (2018) - [i6]Hongguang Zhang, Piotr Koniusz:
Power Normalizing Second-order Similarity Network for Few-shot Learning. CoRR abs/1811.04167 (2018) - 2017
- [j4]Piotr Koniusz, Fei Yan, Philippe-Henri Gosselin, Krystian Mikolajczyk:
Higher-Order Occurrence Pooling for Bags-of-Words: Visual Concept Detection. IEEE Trans. Pattern Anal. Mach. Intell. 39(2): 313-326 (2017) - [c10]Piotr Koniusz, Yusuf Tas, Fatih Porikli:
Domain Adaptation by Mixture of Alignments of Second-or Higher-Order Scatter Tensors. CVPR 2017: 7139-7148 - [c9]Fatemeh Shiri, Xin Yu, Piotr Koniusz, Fatih Porikli:
Face Destylization. DICTA 2017: 1-8 - [c8]Anoop Cherian, Piotr Koniusz, Stephen Gould:
Higher-Order Pooling of CNN Features via Kernel Linearization for Action Recognition. WACV 2017: 130-138 - [i5]Anoop Cherian, Piotr Koniusz, Stephen Gould:
Higher-order Pooling of CNN Features via Kernel Linearization for Action Recognition. CoRR abs/1701.05432 (2017) - 2016
- [c7]Piotr Koniusz, Anoop Cherian:
Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors with Application to Texture Recognition. CVPR 2016: 5395-5403 - [c6]Piotr Koniusz, Anoop Cherian, Fatih Porikli:
Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons. ECCV (4) 2016: 37-53 - [i4]Piotr Koniusz, Anoop Cherian, Fatih Porikli:
Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons. CoRR abs/1604.00239 (2016) - [i3]Piotr Koniusz, Yusuf Tas, Fatih Porikli:
Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors. CoRR abs/1611.08195 (2016) - 2015
- [i2]Piotr Koniusz, Anoop Cherian:
Dictionary Learning and Sparse Coding for Third-order Super-symmetric Tensors. CoRR abs/1509.02970 (2015) - 2014
- [j3]Mark Barnard, Peter Koniusz, Wenwu Wang, Josef Kittler, Syed Mohsen Naqvi, Jonathon A. Chambers:
Robust Multi-Speaker Tracking via Dictionary Learning and Identity Modeling. IEEE Trans. Multim. 16(3): 864-880 (2014) - [c5]Julien Mairal, Piotr Koniusz, Zaïd Harchaoui, Cordelia Schmid:
Convolutional Kernel Networks. NIPS 2014: 2627-2635 - [i1]Julien Mairal, Piotr Koniusz, Zaïd Harchaoui, Cordelia Schmid:
Convolutional Kernel Networks. CoRR abs/1406.3332 (2014) - 2013
- [b1]Piotr Koniusz:
Novel image representations for visual categorisation with 'Bag-of-Words'. University of Surrey, Guildford, UK, 2013 - [j2]Piotr Koniusz, Fei Yan, Krystian Mikolajczyk:
Comparison of mid-level feature coding approaches and pooling strategies in visual concept detection. Comput. Vis. Image Underst. 117(5): 479-492 (2013) - [j1]Muhammad Atif Tahir, Fei Yan, Peter Koniusz, Muhammad Awais, Mark Barnard, Krystian Mikolajczyk, Ahmed Bouridane, Josef Kittler:
A Robust and Scalable Visual Category and Action Recognition System Using Kernel Discriminant Analysis With Spectral Regression. IEEE Trans. Multim. 15(7): 1653-1664 (2013) - 2011
- [c4]Piotr Koniusz, Krystian Mikolajczyk:
Spatial Coordinate Coding to reduce histogram representations, Dominant Angle and Colour Pyramid Match. ICIP 2011: 661-664 - [c3]Piotr Koniusz, Krystian Mikolajczyk:
Soft assignment of visual words as Linear Coordinate Coding and optimisation of its reconstruction error. ICIP 2011: 2413-2416 - 2010
- [c2]Piotr Koniusz, Krystian Mikolajczyk:
On a Quest for Image Descriptors Based on Unsupervised Segmentation Maps. ICPR 2010: 762-765
2000 – 2009
- 2009
- [c1]Piotr Koniusz, Krystian Mikolajczyk:
Segmentation Based Interest Points and Evaluation of Unsupervised Image Segmentation Methods. BMVC 2009: 1-11
Coauthor Index
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