Piotr Koniusz - RankMe

203 papers A* 42A 16B 4C 1Misc 1Journal 113Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploiting Class-agnostic Visual Prior for Few-shot Keypoint Detection. Int. J. Comput. Vis. Changsheng Lu, Hao Zhu, Piotr Koniusz
2026	A*	`conf`	Feature Hallucination for Self-supervised Action Recognition (Abstract Reprint). AAAI Lei Wang, Piotr Koniusz
2026	J	`jnl`	Focus on Background: Exploring SAM's Potential in Few-shot Medical Image Segmentation with Background-centric Prompting. CoRR Yuntian Bo, Yazhou Zhu, Piotr Koniusz, Haofeng Zhang
2026	A*	`conf`	Learning Time in Static Classifiers. AAAI Xi Ding, Lei Wang, Piotr Koniusz, Yongsheng Gao
2026	J	`jnl`	Subspace Kernel Learning on Tensor Sequences. CoRR Lei Wang, Xi Ding, Yongsheng Gao, Piotr Koniusz
2025	J	`jnl`	Amortized Active Generation of Pareto Sets. CoRR Daniel M. Steinberg, Asiri Wijesinghe, Rafael Oliveira, Piotr Koniusz, Cheng Soon Ong, Edwin V. Bonilla
2025	J	`jnl`	Artemis: Structured Visual Reasoning for Perception Policy Learning. CoRR Wei Tang, Yanpeng Sun, Shan Zhang, Xiaofan Li, Piotr Koniusz, Wei Li, Na Zhao, Zechao Li
2025	J	`jnl`	Beyond decoders: Learning prompt-aware features for few-shot object counting. Neurocomputing Muming Zhao, Guang Li, Piotr Koniusz, Chongyang Zhang, Yongshun Gong
2025	A*	`conf`	BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning. CVPR Hao Zhu, Yifei Zhang, Junhao Dong, Piotr Koniusz
2025	J	`jnl`	Feature Hallucination for Self-supervised Action Recognition. CoRR Lei Wang, Piotr Koniusz
2025	J	`jnl`	Feature Hallucination for Self-supervised Action Recognition. Int. J. Comput. Vis. Lei Wang, Piotr Koniusz
2025	A*	`conf`	Graph Self-Supervised Learning with Learnable Structural and Positional Encodings. WWW Asiri Wijesinghe, Hao Zhu, Piotr Koniusz
2025	J	`jnl`	Graph Self-Supervised Learning with Learnable Structural and Positional Encodings. CoRR Asiri Wijesinghe, Hao Zhu, Piotr Koniusz
2025	J	`jnl`	Graph Your Own Prompt. CoRR Xi Ding, Lei Wang, Piotr Koniusz, Yongsheng Gao
2025	A*	`conf`	Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices. ICML Junhao Dong, Piotr Koniusz, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong
2025	A	`conf`	Inductive Graph Few-shot Class Incremental Learning. WSDM Yayong Li, Peyman Moghadam, Can Peng, Nan Ye, Piotr Koniusz
2025	A*	`conf`	Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion. ICLR Dexuan Ding, Lei Wang, Liyun Zhu, Tom Gedeon, Piotr Koniusz
2025	J	`jnl`	Learning Time in Static Classifiers. CoRR Xi Ding, Lei Wang, Piotr Koniusz, Yongsheng Gao
2025	J	`jnl`	MATHGLANCE: Multimodal Large Language Models Do Not Know Where to Look in Mathematical Diagrams. CoRR Yanpeng Sun, Shan Zhang, Wei Tang, Aotian Chen, Piotr Koniusz, Kai Zou, Yuan Xue, Anton van den Hengel
2025	J	`jnl`	MMT-ARD: Multimodal Multi-Teacher Adversarial Distillation for Robust Vision-Language Models. CoRR Yuqi Li, Junhao Dong, Chuanguang Yang, Shiping Wen, Piotr Koniusz, Tingwen Huang, Yingli Tian, Yew-Soon Ong
2025	—	`conf`	Noise Consistency Regularization for Improved Subject-Driven Image Synthesis. CVPR Workshops Yao Ni, Song Wen, Piotr Koniusz, Anoop Cherian
2025	J	`jnl`	Noise Consistency Regularization for Improved Subject-Driven Image Synthesis. CoRR Yao Ni, Song Wen, Piotr Koniusz, Anoop Cherian
2025	J	`jnl`	Open Eyes, Then Reason: Fine-grained Visual Mathematical Understanding in MLLMs. CoRR Shan Zhang, Aotian Chen, Yanpeng Sun, Jindong Gu, Yi-Yu Zheng, Piotr Koniusz, Kai Zou, Anton van den Hengel, Yuan Xue
2025	A*	`conf`	Open-World Objectness Modeling Unifies Novel Object Detection. CVPR Shan Zhang, Yao Ni, Jinhao Du, Yuan Xue, Philip Torr, Piotr Koniusz, Anton van den Hengel
2025	J	`jnl`	Point-PNG: Conditional Pseudo-Negatives Generation for Point Cloud Pre-Training. IEEE Access Sutharsan Mahendren, Saimunur Rahman, Piotr Koniusz, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
2025	A*	`conf`	Primitive Vision: Improving Diagram Understanding in MLLMs. ICML Shan Zhang, Aotian Chen, Yanpeng Sun, Jindong Gu, Yi-Yu Zheng, Piotr Koniusz, Kai Zou, Anton van den Hengel, Yuan Xue
2025	A	`conf`	Protein Fitness Landscape: Spectral Graph Theory Perspective. AISTATS Hao Zhu, Daniel M. Steinberg, Piotr Koniusz
2025	—	`conf`	Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMs. KDD (1) Junhao Dong, Piotr Koniusz, Xinghua Qu, Yew-Soon Ong
2025	—	`conf`	Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning. KDD (1) Yifei Zhang, Hao Zhu, Menglin Yang, Jiahong Liu, Rex Ying, Irwin King, Piotr Koniusz
2025	J	`jnl`	Video Understanding by Design: How Datasets Shape Architectures and Insights. CoRR Lei Wang, Piotr Koniusz, Yongsheng Gao
2025	—	`conf`	WWW 2025 Workshop Chairs' Welcome. WWW (Companion Volume) Piotr Koniusz, Weizhi Ma
2024	A*	`conf`	$\bigcirc\!\!\!\!\bigcirc$ CHAIN: Enhancing Generalization in Data-Efficient GANs via LipsCHitz Continuity ConstrAIned Normalization. CVPR Yao Ni, Piotr Koniusz
2024	—	`conf`	Adaptive Multi-head Contrastive Learning. ECCV (69) Lei Wang, Piotr Koniusz, Tom Gedeon, Liang Zheng
2024	—	`conf`	Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap. ECCV (4) Junhao Dong, Piotr Koniusz, Junxi Chen, Yew-Soon Ong
2024	A*	`conf`	Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners. CVPR Junhao Dong, Piotr Koniusz, Junxi Chen, Xiaohua Xie, Yew-Soon Ong
2024	J	`jnl`	CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization. CoRR Yao Ni, Piotr Koniusz
2024	A*	`conf`	Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector. AAAI Changsheng Lu, Piotr Koniusz
2024	A	`conf`	Few-shot Shape Recognition by Learning Deep Shape-aware Features. WACV Wenlong Shi, Changsheng Lu, Ming Shao, Yinjie Zhang, Siyu Xia, Piotr Koniusz
2024	A*	`conf`	Geometric View of Soft Decorrelation in Self-Supervised Learning. KDD Yifei Zhang, Hao Zhu, Zixing Song, Yankai Chen, Xinyu Fu, Ziqiao Meng, Piotr Koniusz, Irwin King
2024	J	`jnl`	Inductive Graph Few-shot Class Incremental Learning. CoRR Yayong Li, Peyman Moghadam, Can Peng, Nan Ye, Piotr Koniusz
2024	J	`jnl`	LEGO: Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion. CoRR Dexuan Ding, Lei Wang, Liyun Zhu, Tom Gedeon, Piotr Koniusz
2024	J	`jnl`	Learning Gaussian Representation for Eye Fixation Prediction. CoRR Peipei Song, Jing Zhang, Piotr Koniusz, Nick Barnes
2024	J	`jnl`	Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMs. CoRR Yifei Zhang, Hao Zhu, Aiwei Liu, Han Yu, Piotr Koniusz, Irwin King
2024	J	`jnl`	Meet JEANIE: A Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment. Int. J. Comput. Vis. Lei Wang, Jun Liu, Liang Zheng, Tom Gedeon, Piotr Koniusz
2024	J	`jnl`	Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment. CoRR Lei Wang, Jun Liu, Liang Zheng, Tom Gedeon, Piotr Koniusz
2024	C	`conf`	Motion meets Attention: Video Motion Prompts. ACML Qixiang Chen, Lei Wang, Piotr Koniusz, Tom Gedeon
2024	J	`jnl`	Motion meets Attention: Video Motion Prompts. CoRR Qixiang Chen, Lei Wang, Piotr Koniusz, Tom Gedeon
2024	J	`jnl`	Multivariate prototype representation for domain-generalized incremental learning. Comput. Vis. Image Underst. Can Peng, Piotr Koniusz, Kaiyu Guo, Brian C. Lovell, Peyman Moghadam
2024	—	`conf`	OpenKD: Opening Prompt Diversity for Zero- and Few-Shot Keypoint Detection. ECCV (19) Changsheng Lu, Zheyuan Liu, Piotr Koniusz
2024	J	`jnl`	OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection. CoRR Changsheng Lu, Zheyuan Liu, Piotr Koniusz
2024	A*	`conf`	PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization. NeurIPS Yao Ni, Shan Zhang, Piotr Koniusz
2024	J	`jnl`	PACE: marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization. CoRR Yao Ni, Shan Zhang, Piotr Koniusz
2024	A*	`conf`	Pre-training with Random Orthogonal Projection Image Modeling. ICLR Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz
2024	J	`jnl`	PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings. CoRR Sutharsan Mahendren, Saimunur Rahman, Piotr Koniusz, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
2024	A*	`conf`	Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples. CVPR Junhao Dong, Piotr Koniusz, Junxi Chen, Z. Jane Wang, Yew-Soon Ong
2024	J	`jnl`	Saliency-guided meta-hallucinator for few-shot learning. Sci. China Inf. Sci. Hongguang Zhang, Chun Liu, Jiandong Wang, Linru Ma, Piotr Koniusz, Philip H. S. Torr, Lin Yang
2024	A	`conf`	Semantic Transfer from Head to Tail: Enlarging Tail Margin for Long-Tailed Visual Recognition. WACV Shan Zhang, Yao Ni, Jinhao Du, Yanxia Liu, Piotr Koniusz
2024	J	`jnl`	Synergizing triple attention with depth quality for RGB-D salient object detection. Neurocomputing Peipei Song, Wenyu Li, Peiyan Zhong, Jing Zhang, Piotr Koniusz, Feng Duan, Nick Barnes
2024	J	`jnl`	Traffic forecasting on new roads using spatial contrastive pre-training (SCPT). Data Min. Knowl. Discov. Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim
2024	J	`jnl`	When Spatial meets Temporal in Action Recognition. CoRR Huilin Chen, Lei Wang, Yifan Chen, Tom Gedeon, Piotr Koniusz
2023	A*	`conf`	3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition. CVPR Lei Wang, Piotr Koniusz
2023	J	`jnl`	3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition. CoRR Lei Wang, Piotr Koniusz
2023	J	`jnl`	Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching. IEEE Trans. Pattern Anal. Mach. Intell. Yujiao Shi, Xin Yu, Liu Liu, Dylan Campbell, Piotr Koniusz, Hongdong Li
2023	J	`jnl`	Adaptive Multi-head Contrastive Learning. CoRR Lei Wang, Piotr Koniusz, Tom Gedeon, Liang Zheng
2023	J	`jnl`	Alignment and Outer Shell Isotropy for Hyperbolic Graph Contrastive Learning. CoRR Yifei Zhang, Hao Zhu, Jiahong Liu, Piotr Koniusz, Irwin King
2023	—	`conf`	Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting. IoTDI Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim
2023	J	`jnl`	Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting. CoRR Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim
2023	—	`ed.`	Computer Vision - ACCV 2022 Workshops - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Revised Selected Papers ACCV (Workshops) Yinqiang Zheng, Hacer Yalim Keles, Piotr Koniusz
2023	A*	`conf`	Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. CVPR Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray
2023	J	`jnl`	Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. CoRR Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray
2023	J	`jnl`	Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion Deblurring. CoRR Hongguang Zhang, Limeng Zhang, Yuchao Dai, Hongdong Li, Piotr Koniusz
2023	J	`jnl`	Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion Deblurring. Int. J. Comput. Vis. Hongguang Zhang, Limeng Zhang, Yuchao Dai, Hongdong Li, Piotr Koniusz
2023	J	`jnl`	Exploiting Field Dependencies for Learning on Categorical Data. CoRR Zhibin Li, Piotr Koniusz, Lu Zhang, Daniel Edward Pagendam, Peyman Moghadam
2023	J	`jnl`	Exploiting Field Dependencies for Learning on Categorical Data. IEEE Trans. Pattern Anal. Mach. Intell. Zhibin Li, Piotr Koniusz, Lu Zhang, Daniel Edward Pagendam, Peyman Moghadam
2023	J	`jnl`	Few-shot Shape Recognition by Learning Deep Shape-aware Features. CoRR Wenlong Shi, Changsheng Lu, Ming Shao, Yinjie Zhang, Siyu Xia, Piotr Koniusz
2023	J	`jnl`	Flow Dynamics Correction for Action Recognition. CoRR Lei Wang, Piotr Koniusz
2023	J	`jnl`	From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detection. CoRR Changsheng Lu, Hao Zhu, Piotr Koniusz
2023	A*	`conf`	Learning Partial Correlation based Deep Visual Representation for Image Classification. CVPR Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun
2023	J	`jnl`	Learning Partial Correlation based Deep Visual Representation for Image Classification. CoRR Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun
2023	A*	`conf`	Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval. ICCV Zhongyan Zhang, Lei Wang, Luping Zhou, Piotr Koniusz
2023	J	`jnl`	Message Passing Neural Networks for Traffic Forecasting. CoRR Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim
2023	A*	`conf`	Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective. NeurIPS Yifei Zhang, Hao Zhu, Yankai Chen, Zixing Song, Piotr Koniusz, Irwin King
2023	J	`jnl`	Multi-Level Second-Order Few-Shot Learning. IEEE Trans. Multim. Hongguang Zhang, Hongdong Li, Piotr Koniusz
2023	J	`jnl`	Multivariate Prototype Representation for Domain-Generalized Incremental Learning. CoRR Can Peng, Piotr Koniusz, Kaiyu Guo, Brian C. Lovell, Peyman Moghadam
2023	A*	`conf`	NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs. NeurIPS Yao Ni, Piotr Koniusz
2023	J	`jnl`	Pre-training with Random Orthogonal Projection Image Modeling. CoRR Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz
2023	A*	`conf`	Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. AAAI Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
2023	J	`jnl`	Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training. CoRR Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim
2023	A*	`conf`	Transductive Few-Shot Learning with Prototype-Based Label Propagation by Iterative Graph Refinement. CVPR Hao Zhu, Piotr Koniusz
2023	J	`jnl`	Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement. CoRR Hao Zhu, Piotr Koniusz
2022	J	`jnl`	Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching. CoRR Yujiao Shi, Xin Yu, Liu Liu, Dylan Campbell, Piotr Koniusz, Hongdong Li
2022	A*	`conf`	COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. KDD Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
2022	J	`jnl`	COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. CoRR Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
2022	J	`jnl`	Contrastive Laplacian Eigenmaps. CoRR Hao Zhu, Ke Sun, Piotr Koniusz
2022	A*	`conf`	EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning. CVPR Hao Zhu, Piotr Koniusz
2022	A*	`conf`	Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species. CVPR Changsheng Lu, Piotr Koniusz
2022	A*	`conf`	Generalized Laplacian Eigenmaps. NeurIPS Hao Zhu, Piotr Koniusz
2022	A*	`conf`	Graph-adaptive Rectified Linear Unit for Graph Neural Networks. WWW Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King
2022	J	`jnl`	Graph-adaptive Rectified Linear Unit for Graph Neural Networks. CoRR Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King
2022	—	`conf`	Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer. ACCV (5) Hongguang Zhang, Philip H. S. Torr, Piotr Koniusz
2022	A*	`conf`	Kernelized Few-shot Object Detection with Efficient Integral Aggregation. CVPR Shan Zhang, Lei Wang, Naila Murray, Piotr Koniusz
2022	A*	`conf`	Manifold Learning Benefits GANs. CVPR Yao Ni, Piotr Koniusz, Richard I. Hartley, Richard Nock
2022	A	`conf`	Meta-Learning for Multi-Label Few-Shot Classification. WACV Christian Simon, Piotr Koniusz, Mehrtash Harandi
2022	B	`conf`	Multi-Modal Transformer for RGB-D Salient Object Detection. ICIP Peipei Song, Jing Zhang, Piotr Koniusz, Nick Barnes
2022	J	`jnl`	Multi-level Second-order Few-shot Learning. CoRR Hongguang Zhang, Hongdong Li, Piotr Koniusz
2022	J	`jnl`	Power Normalizations in Fine-Grained Image, Few-Shot Image and Graph Classification. IEEE Trans. Pattern Anal. Mach. Intell. Piotr Koniusz, Hongguang Zhang
2022	J	`jnl`	Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map. Neurocomputing Wei Shao, Arian Prabowo, Sichen Zhao, Piotr Koniusz, Flora D. Salim
2022	J	`jnl`	Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. CoRR Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
2022	—	`conf`	Temporal-Viewpoint Transportation Plan for Skeletal Few-Shot Action Recognition. ACCV (4) Lei Wang, Piotr Koniusz
2022	J	`jnl`	Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition. CoRR Lei Wang, Piotr Koniusz
2022	J	`jnl`	Tensor Representations for Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Piotr Koniusz, Lei Wang, Anoop Cherian
2022	—	`conf`	Time-rEversed DiffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection. ECCV (20) Shan Zhang, Naila Murray, Lei Wang, Piotr Koniusz
2022	J	`jnl`	Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection. CoRR Shan Zhang, Naila Murray, Lei Wang, Piotr Koniusz
2022	A	`conf`	Towards a Robust Differentiable Architecture Search under Label Noise. WACV Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi
2022	—	`conf`	Uncertainty-DTW for Time Series and Sequences. ECCV (21) Lei Wang, Piotr Koniusz
2022	J	`jnl`	Uncertainty-DTW for Time Series and Sequences. CoRR Lei Wang, Piotr Koniusz
2021	J	`jnl`	3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve. CoRR Lei Wang, Jun Liu, Piotr Koniusz
2021	J	`jnl`	Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species. CoRR Changsheng Lu, Piotr Koniusz
2021	J	`jnl`	Graph Convolutional Network with Generalized Factorized Bilinear Aggregation. CoRR Hao Zhu, Piotr Koniusz
2021	J	`jnl`	High-order Tensor Pooling with Attention for Action Recognition. CoRR Piotr Koniusz, Lei Wang, Ke Sun
2021	J	`jnl`	Manifold Learning Benefits GANs. CoRR Yao Ni, Piotr Koniusz, Richard I. Hartley, Richard Nock
2021	J	`jnl`	Meta-Learning for Multi-Label Few-Shot Classification. CoRR Christian Simon, Piotr Koniusz, Mehrtash Harandi
2021	A*	`conf`	On Learning the Geodesic Path for Incremental Learning. CVPR Christian Simon, Piotr Koniusz, Mehrtash Harandi
2021	J	`jnl`	On Learning the Geodesic Path for Incremental Learning. CoRR Christian Simon, Piotr Koniusz, Mehrtash Harandi
2021	J	`jnl`	Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map. CoRR Wei Shao, Arian Prabowo, Sichen Zhao, Piotr Koniusz, Flora D. Salim
2021	A	`conf`	REFINE: Random RangE FInder for Network Embedding. CIKM Hao Zhu, Piotr Koniusz
2021	J	`jnl`	REFINE: Random RangE FInder for Network Embedding. CoRR Hao Zhu, Piotr Koniusz
2021	A*	`conf`	Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning. CVPR Hongguang Zhang, Piotr Koniusz, Songlei Jian, Hongdong Li, Philip H. S. Torr
2021	A*	`conf`	Self-supervising Action Recognition by Statistical Moment and Subspace Descriptors. ACM Multimedia Lei Wang, Piotr Koniusz
2021	A	`conf`	Simple Dialogue System with AUDITED. BMVC Yusuf Tas, Piotr Koniusz
2021	J	`jnl`	Simple Dialogue System with AUDITED. CoRR Yusuf Tas, Piotr Koniusz
2021	A*	`conf`	Simple Spectral Graph Convolution. ICLR Hao Zhu, Piotr Koniusz
2021	J	`jnl`	Towards a Robust Differentiable Architecture Search under Label Noise. CoRR Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi
2020	J	`jnl`	6DoF Object Pose Estimation via Differentiable Proxy Voting Loss. CoRR Xin Yu, Zheyu Zhuang, Piotr Koniusz, Hongdong Li
2020	A	`conf`	6DoF Object Pose Estimation via Differentiable Proxy Voting Regularizer. BMVC Xin Yu, Zheyu Zhuang, Piotr Koniusz, Hongdong Li
2020	J	`jnl`	A Comparative Review of Recent Kinect-Based Action Recognition Algorithms. IEEE Trans. Image Process. Lei Wang, Du Q. Huynh, Piotr Koniusz
2020	—	`conf`	A Token-Wise CNN-Based Method for Sentence Compression. ICONIP (1) Weiwei Hou, Hanna Suominen, Piotr Koniusz, Sabrina B. Caldwell, Tom Gedeon
2020	J	`jnl`	A Token-wise CNN-based Method for Sentence Compression. CoRR Weiwei Hou, Hanna Suominen, Piotr Koniusz, Sabrina B. Caldwell, Tom Gedeon
2020	A*	`conf`	Adaptive Subspaces for Few-Shot Learning. CVPR Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi
2020	—	`conf`	Few-Shot Action Recognition with Permutation-Invariant Attention. ECCV (5) Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H. S. Torr, Piotr Koniusz
2020	—	`conf`	Few-Shot Object Detection by Second-Order Pooling. ACCV (4) Shan Zhang, Dawei Luo, Lei Wang, Piotr Koniusz
2020	J	`jnl`	Few-shot Action Recognition via Improved Attention with Self-supervision. CoRR Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H. S. Torr, Piotr Koniusz
2020	J	`jnl`	Few-shot Learning with Multi-scale Self-supervision. CoRR Hongguang Zhang, Philip H. S. Torr, Piotr Koniusz
2020	J	`jnl`	Hallucinating Statistical Moment and Subspace Descriptors from Object and Saliency Detectors for Action Recognition. CoRR Lei Wang, Piotr Koniusz
2020	—	`conf`	On Modulating the Gradient for Meta-learning. ECCV (8) Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi
2020	J	`jnl`	Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification. CoRR Piotr Koniusz, Hongguang Zhang
2020	J	`jnl`	Relation Embedding for Personalised POI Recommendation. CoRR Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz
2020	—	`conf`	Relation Embedding for Personalised Translation-Based POI Recommendation. PAKDD (1) Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz
2020	J	`jnl`	Rethinking Class Relations: Absolute-relative Few-shot Learning. CoRR Hongguang Zhang, Philip H. S. Torr, Hongdong Li, Songlei Jian, Piotr Koniusz
2020	J	`jnl`	Tensor Representations for Action Recognition. CoRR Piotr Koniusz, Lei Wang, Anoop Cherian
2019	J	`jnl`	A Comparative Review of Recent Kinect-based Action Recognition Algorithms. CoRR Lei Wang, Du Q. Huynh, Piotr Koniusz
2019	—	`conf`	COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference. BuildSys Arian Prabowo, Piotr Koniusz, Wei Shao, Flora D. Salim
2019	J	`jnl`	COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference. CoRR Arian Prabowo, Piotr Koniusz, Wei Shao, Flora D. Salim
2019	A*	`conf`	Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring. CVPR Hongguang Zhang, Yuchao Dai, Hongdong Li, Piotr Koniusz
2019	J	`jnl`	Deep Stacked Hierarchical Multi-patch Network for Image Deblurring. CoRR Hongguang Zhang, Yuchao Dai, Hongdong Li, Piotr Koniusz
2019	A*	`conf`	Few-Shot Learning via Saliency-Guided Hallucination of Samples. CVPR Hongguang Zhang, Jing Zhang, Piotr Koniusz
2019	J	`jnl`	Few-Shot Learning via Saliency-guided Hallucination of Samples. CoRR Hongguang Zhang, Jing Zhang, Piotr Koniusz
2019	A	`conf`	Fisher-Bures Adversary Graph Convolutional Networks. UAI Ke Sun, Piotr Koniusz, Zhen Wang
2019	J	`jnl`	Fisher-Bures Adversary Graph Convolutional Networks. CoRR Ke Sun, Piotr Koniusz, Zhen Wang
2019	—	`conf`	Flight Delay Prediction using Airport Situational Awareness Map. SIGSPATIAL/GIS Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Koniusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora D. Salim
2019	J	`jnl`	Flight Delay Prediction using Airport Situational Awareness Map. CoRR Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Koniusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora D. Salim
2019	J	`jnl`	Hallucinating Bag-of-Words and Fisher Vector IDT terms for CNN-based Action Recognition. CoRR Lei Wang, Piotr Koniusz, Du Q. Huynh
2019	A*	`conf`	Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition With CNNs. ICCV Lei Wang, Piotr Koniusz, Du Huynh
2019	J	`jnl`	Identity-Preserving Face Recovery from Stylized Portraits. Int. J. Comput. Vis. Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard Hartley, Piotr Koniusz
2019	J	`jnl`	Identity-preserving Face Recovery from Stylized Portraits. CoRR Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard I. Hartley, Piotr Koniusz
2019	A	`conf`	Power Normalizing Second-Order Similarity Network for Few-Shot Learning. WACV Hongguang Zhang, Piotr Koniusz
2019	A	`conf`	Recovering Faces From Portraits with Auxiliary Facial Attributes. WACV Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard Hartley, Piotr Koniusz
2019	J	`jnl`	Recovering Faces from Portraits with Auxiliary Facial Attributes. CoRR Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard I. Hartley, Piotr Koniusz
2018	A*	`conf`	A Deeper Look at Power Normalizations. CVPR Piotr Koniusz, Hongguang Zhang, Fatih Porikli
2018	J	`jnl`	A Deeper Look at Power Normalizations. CoRR Piotr Koniusz, Hongguang Zhang, Fatih Porikli
2018	J	`jnl`	Artwork Identification from Wearable Camera Images for Enhancing Experience of Museum Audiences. CoRR Rui Zhang, Yusuf Tas, Piotr Koniusz
2018	A	`conf`	CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps. BMVC Yusuf Tas, Piotr Koniusz
2018	J	`jnl`	CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps. CoRR Yusuf Tas, Piotr Koniusz
2018	J	`jnl`	Face Destylization. CoRR Fatemeh Shiri, Xin Yu, Fatih Porikli, Piotr Koniusz
2018	A	`conf`	Identity-Preserving Face Recovery from Portraits. WACV Fatemeh Shiri, Fatih Porikli, Richard Hartley, Piotr Koniusz
2018	J	`jnl`	Identity-preserving Face Recovery from Portraits. CoRR Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard Hartley, Piotr Koniusz
2018	—	`conf`	Model Selection for Generalized Zero-Shot Learning. ECCV Workshops (2) Hongguang Zhang, Piotr Koniusz
2018	J	`jnl`	Model Selection for Generalized Zero-shot Learning. CoRR Hongguang Zhang, Piotr Koniusz
2018	J	`jnl`	Museum Exhibit Identification Challenge for Domain Adaptation and Beyond. CoRR Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Tafazzoli Harandi, Fatih Porikli, Rui Zhang
2018	—	`conf`	Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond. ECCV (16) Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Tafazzoli Harandi, Fatih Porikli, Rui Zhang
2018	J	`jnl`	Power Normalizing Second-order Similarity Network for Few-shot Learning. CoRR Hongguang Zhang, Piotr Koniusz
2018	—	`conf`	Second-Order Democratic Aggregation. ECCV (3) Tsung-Yu Lin, Subhransu Maji, Piotr Koniusz
2018	J	`jnl`	Second-order Democratic Aggregation. CoRR Tsung-Yu Lin, Subhransu Maji, Piotr Koniusz
2018	A*	`conf`	Zero-Shot Kernel Learning. CVPR Hongguang Zhang, Piotr Koniusz
2018	J	`jnl`	Zero-Shot Kernel Learning. CoRR Hongguang Zhang, Piotr Koniusz
2017	A*	`conf`	Domain Adaptation by Mixture of Alignments of Second-or Higher-Order Scatter Tensors. CVPR Piotr Koniusz, Yusuf Tas, Fatih Porikli
2017	Misc	`conf`	Face Destylization. DICTA Fatemeh Shiri, Xin Yu, Piotr Koniusz, Fatih Porikli
2017	J	`jnl`	Higher-Order Occurrence Pooling for Bags-of-Words: Visual Concept Detection. IEEE Trans. Pattern Anal. Mach. Intell. Piotr Koniusz, Fei Yan, Philippe-Henri Gosselin, Krystian Mikolajczyk
2017	A	`conf`	Higher-Order Pooling of CNN Features via Kernel Linearization for Action Recognition. WACV Anoop Cherian, Piotr Koniusz, Stephen Gould
2017	J	`jnl`	Higher-order Pooling of CNN Features via Kernel Linearization for Action Recognition. CoRR Anoop Cherian, Piotr Koniusz, Stephen Gould
2016	J	`jnl`	Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors. CoRR Piotr Koniusz, Yusuf Tas, Fatih Porikli
2016	A*	`conf`	Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors with Application to Texture Recognition. CVPR Piotr Koniusz, Anoop Cherian
2016	—	`conf`	Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons. ECCV (4) Piotr Koniusz, Anoop Cherian, Fatih Porikli
2016	J	`jnl`	Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons. CoRR Piotr Koniusz, Anoop Cherian, Fatih Porikli
2015	J	`jnl`	Dictionary Learning and Sparse Coding for Third-order Super-symmetric Tensors. CoRR Piotr Koniusz, Anoop Cherian
2014	—	`conf`	Convolutional Kernel Networks. NIPS Julien Mairal, Piotr Koniusz, Zaïd Harchaoui, Cordelia Schmid
2014	J	`jnl`	Convolutional Kernel Networks. CoRR Julien Mairal, Piotr Koniusz, Zaïd Harchaoui, Cordelia Schmid
2013	J	`jnl`	Comparison of mid-level feature coding approaches and pooling strategies in visual concept detection. Comput. Vis. Image Underst. Piotr Koniusz, Fei Yan, Krystian Mikolajczyk
2013	—	`—`	Novel image representations for visual categorisation with 'Bag-of-Words'. Piotr Koniusz
2011	B	`conf`	Soft assignment of visual words as Linear Coordinate Coding and optimisation of its reconstruction error. ICIP Piotr Koniusz, Krystian Mikolajczyk
2011	B	`conf`	Spatial Coordinate Coding to reduce histogram representations, Dominant Angle and Colour Pyramid Match. ICIP Piotr Koniusz, Krystian Mikolajczyk
2010	B	`conf`	On a Quest for Image Descriptors Based on Unsupervised Segmentation Maps. ICPR Piotr Koniusz, Krystian Mikolajczyk
2009	A	`conf`	Segmentation Based Interest Points and Evaluation of Unsupervised Image Segmentation Methods. BMVC Piotr Koniusz, Krystian Mikolajczyk