Piotr Koniusz

Orcid: 0000-0002-6340-5289

According to our database1, Piotr Koniusz authored at least 105 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization.
CoRR, 2024

Learning Gaussian Representation for Eye Fixation Prediction.
CoRR, 2024

Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment.
CoRR, 2024

Semantic Transfer from Head to Tail: Enlarging Tail Margin for Long-Tailed Visual Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Few-shot Shape Recognition by Learning Deep Shape-aware Features.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Exploiting Field Dependencies for Learning on Categorical Data.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Multi-Level Second-Order Few-Shot Learning.
IEEE Trans. Multim., 2023

Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion Deblurring.
Int. J. Comput. Vis., 2023

Pre-training with Random Orthogonal Projection Image Modeling.
CoRR, 2023

Alignment and Outer Shell Isotropy for Hyperbolic Graph Contrastive Learning.
CoRR, 2023

Flow Dynamics Correction for Action Recognition.
CoRR, 2023

Adaptive Multi-head Contrastive Learning.
CoRR, 2023

Multivariate Prototype Representation for Domain-Generalized Incremental Learning.
CoRR, 2023

Exploiting Field Dependencies for Learning on Categorical Data.
CoRR, 2023

Message Passing Neural Networks for Traffic Forecasting.
CoRR, 2023

Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training.
CoRR, 2023

From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detection.
CoRR, 2023

Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting.
Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023

Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Transductive Few-Shot Learning with Prototype-Based Label Propagation by Iterative Graph Refinement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Partial Correlation based Deep Visual Representation for Image Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Spectral Feature Augmentation for Graph Contrastive Learning and Beyond.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Power Normalizations in Fine-Grained Image, Few-Shot Image and Graph Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Tensor Representations for Action Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map.
Neurocomputing, 2022

Graph-adaptive Rectified Linear Unit for Graph Neural Networks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Towards a Robust Differentiable Architecture Search under Label Noise.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Meta-Learning for Multi-Label Few-Shot Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Generalized Laplacian Eigenmaps.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multi-Modal Transformer for RGB-D Salient Object Detection.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Time-rEversed DiffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Uncertainty-DTW for Time Series and Sequences.
Proceedings of the Computer Vision - ECCV 2022, 2022

EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Kernelized Few-shot Object Detection with Efficient Integral Aggregation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Manifold Learning Benefits GANs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer.
Proceedings of the Computer Vision - ACCV 2022, 2022

Temporal-Viewpoint Transportation Plan for Skeletal Few-Shot Action Recognition.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve.
CoRR, 2021

High-order Tensor Pooling with Attention for Action Recognition.
CoRR, 2021

Graph Convolutional Network with Generalized Factorized Bilinear Aggregation.
CoRR, 2021

Contrastive Laplacian Eigenmaps.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Self-supervising Action Recognition by Statistical Moment and Subspace Descriptors.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Simple Spectral Graph Convolution.
Proceedings of the 9th International Conference on Learning Representations, 2021

Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

On Learning the Geodesic Path for Incremental Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

REFINE: Random RangE FInder for Network Embedding.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Simple Dialogue System with AUDITED.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
A Comparative Review of Recent Kinect-Based Action Recognition Algorithms.
IEEE Trans. Image Process., 2020

6DoF Object Pose Estimation via Differentiable Proxy Voting Loss.
CoRR, 2020

Relation Embedding for Personalised POI Recommendation.
CoRR, 2020

Hallucinating Statistical Moment and Subspace Descriptors from Object and Saliency Detectors for Action Recognition.
CoRR, 2020

Rethinking Class Relations: Absolute-relative Few-shot Learning.
CoRR, 2020

Few-shot Action Recognition via Improved Attention with Self-supervision.
CoRR, 2020

Few-shot Learning with Multi-scale Self-supervision.
CoRR, 2020

Relation Embedding for Personalised Translation-Based POI Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

A Token-Wise CNN-Based Method for Sentence Compression.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Few-Shot Action Recognition with Permutation-Invariant Attention.
Proceedings of the Computer Vision - ECCV 2020, 2020

On Modulating the Gradient for Meta-learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Adaptive Subspaces for Few-Shot Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

6DoF Object Pose Estimation via Differentiable Proxy Voting Regularizer.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

Few-Shot Object Detection by Second-Order Pooling.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Identity-Preserving Face Recovery from Stylized Portraits.
Int. J. Comput. Vis., 2019

Hallucinating Bag-of-Words and Fisher Vector IDT terms for CNN-based Action Recognition.
CoRR, 2019

Power Normalizing Second-Order Similarity Network for Few-Shot Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Recovering Faces From Portraits with Auxiliary Facial Attributes.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Fisher-Bures Adversary Graph Convolutional Networks.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference.
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition With CNNs.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Flight Delay Prediction using Airport Situational Awareness Map.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Few-Shot Learning via Saliency-Guided Hallucination of Samples.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Artwork Identification from Wearable Camera Images for Enhancing Experience of Museum Audiences.
CoRR, 2018

Museum Exhibit Identification Challenge for Domain Adaptation and Beyond.
CoRR, 2018

Identity-preserving Face Recovery from Portraits.
CoRR, 2018

Identity-Preserving Face Recovery from Portraits.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Model Selection for Generalized Zero-Shot Learning.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Second-Order Democratic Aggregation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond.
Proceedings of the Computer Vision - ECCV 2018, 2018

Zero-Shot Kernel Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

A Deeper Look at Power Normalizations.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Higher-Order Occurrence Pooling for Bags-of-Words: Visual Concept Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Higher-Order Pooling of CNN Features via Kernel Linearization for Action Recognition.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Face Destylization.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Domain Adaptation by Mixture of Alignments of Second-or Higher-Order Scatter Tensors.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons.
Proceedings of the Computer Vision - ECCV 2016, 2016

Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors with Application to Texture Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Dictionary Learning and Sparse Coding for Third-order Super-symmetric Tensors.
CoRR, 2015

2014
Robust Multi-Speaker Tracking via Dictionary Learning and Identity Modeling.
IEEE Trans. Multim., 2014

Convolutional Kernel Networks.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Novel image representations for visual categorisation with 'Bag-of-Words'.
PhD thesis, 2013

A Robust and Scalable Visual Category and Action Recognition System Using Kernel Discriminant Analysis With Spectral Regression.
IEEE Trans. Multim., 2013

Comparison of mid-level feature coding approaches and pooling strategies in visual concept detection.
Comput. Vis. Image Underst., 2013

2011
Soft assignment of visual words as Linear Coordinate Coding and optimisation of its reconstruction error.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Spatial Coordinate Coding to reduce histogram representations, Dominant Angle and Colour Pyramid Match.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
On a Quest for Image Descriptors Based on Unsupervised Segmentation Maps.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Segmentation Based Interest Points and Evaluation of Unsupervised Image Segmentation Methods.
Proceedings of the British Machine Vision Conference, 2009


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