Piotr Koniusz

发表

Higher-order Occurrence Pooling on Mid- and Low-level Features: Visual Concept Detection

K. Mikolajczyk, Piotr Koniusz, F. Yan, 2013 .

Spatial Coordinate Coding to reduce histogram representations, Dominant Angle and Colour Pyramid Match

Krystian Mikolajczyk, Piotr Koniusz, K. Mikolajczyk, 2011, 2011 18th IEEE International Conference on Image Processing.

Convolutional Kernel Networks

Cordelia Schmid, Zaïd Harchaoui, Julien Mairal, 2014, NIPS.

Projective Subspace Networks For Few-Shot Learning

Piotr Koniusz, Mehrtash Harandi, Christian Simon, 2018 .

Deep Subspace Networks For Few-Shot Learning

Richard Nock, Mehrtash Harandi, Piotr Koniusz, 2019 .

Manifold Learning Benefits GANs pdf

Richard Nock, Piotr Koniusz, Richard Hartley, 2021, ArXiv.

New Results - Visual recognition in images

Cordelia Schmid, Trevor Darrell, C. V. Jawahar, 2013 .

New Software and Platforms - Convolutional Kernel Networks

Cordelia Schmid, Julien Mairal, Piotr Koniusz, 2014 .

Learning to Learn via Gradient Component Corrections

Richard Nock, Mehrtash Harandi, Piotr Koniusz, 2019 .

Power Normalizing Second-Order Similarity Network for Few-Shot Learning

Hongguang Zhang, Piotr Koniusz, Piotr Koniusz, 2018, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning

Piotr Koniusz, Hao Zhu, Yifei Zhang, 2022, KDD.

Supplementary Materials for EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning

Piotr Koniusz, Hao Zhu, 2022 .

EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning

Piotr Koniusz, Hao Zhu, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

COSTA

Piotr Koniusz, Hao Zhu, Yifei Zhang, 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition

Piotr Koniusz, Lei Wang, Lei Wang, 2022, ACCV.

Uncertainty-DTW for Time Series and Sequences

Piotr Koniusz, Lei Wang, Lei Wang, 2022, ECCV.

Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion Deblurring

Piotr Koniusz, Yuchao Dai, Hongdong Li, 2022, International Journal of Computer Vision.

Spectral Feature Augmentation for Graph Contrastive Learning and Beyond

Piotr Koniusz, Hao Zhu, Yifei Zhang, 2022, AAAI.

Kernelized Few-shot Object Detection with Efficient Integral Aggregation

Piotr Koniusz, Lei Wang, Shan Zhang, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Identity-Preserving Face Recovery from Stylized Portraits

R. Hartley, Piotr Koniusz, F. Porikli, 2019, International Journal of Computer Vision.

Tensor Representations for Action Recognition

Anoop Cherian, Piotr Koniusz, Lei Wang, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Time-rEversed DiffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection

Piotr Koniusz, Lei Wang, Shan Zhang, 2022, European Conference on Computer Vision.

Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer

Philip H. S. Torr, Piotr Koniusz, Hongguang Zhang, 2020, ACCV.

Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors with Application to Texture Recognition

Anoop Cherian, Piotr Koniusz, Piotr Koniusz, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Dictionary Learning and Sparse Coding for Third-order Super-symmetric Tensors pdf

Anoop Cherian, Piotr Koniusz, Piotr Koniusz, 2015, ArXiv.

Few-Shot Object Detection by Second-Order Pooling

Lei Wang, Piotr Koniusz, Dawei Luo, 2020, ACCV.

Adaptive Subspaces for Few-Shot Learning

Mehrtash Harandi, Piotr Koniusz, Christian Simon, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Few-Shot Learning via Saliency-Guided Hallucination of Samples

Jing Zhang, Hongguang Zhang, Piotr Koniusz, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Simple Spectral Graph Convolution

Piotr Koniusz, Hao Zhu, Piotr Koniusz, 2021, ICLR.

Higher-Order Occurrence Pooling for Bags-of-Words: Visual Concept Detection

Krystian Mikolajczyk, Fei Yan, Piotr Koniusz, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-Modal Transformer for RGB-D Salient Object Detection

Piotr Koniusz, N. Barnes, Jing Zhang, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

Power Normalizations in Fine-Grained Image, Few-Shot Image and Graph Classification

Piotr Koniusz, Hongguang Zhang, Piotr Koniusz, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Robust and Scalable Visual Category and Action Recognition System Using Kernel Discriminant Analysis With Spectral Regression

Josef Kittler, Ahmed Bouridane, Krystian Mikolajczyk, 2013, IEEE Transactions on Multimedia.

Segmentation Based Interest Points and Evaluation of Unsupervised Image Segmentation Methods

Krystian Mikolajczyk, Piotr Koniusz, K. Mikolajczyk, 2009, BMVC.

Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring

Hongdong Li, Hongguang Zhang, Piotr Koniusz, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Manifold Learning Benefits GANs

R. Hartley, R. Nock, Piotr Koniusz, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Few-Shot Action Recognition with Permutation-Invariant Attention

Hongdong Li, Xiaojuan Qi, Philip H. S. Torr, 2020, ECCV.

Zero-Shot Kernel Learning

Hongguang Zhang, Piotr Koniusz, Piotr Koniusz, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

33 32 v 2 [ cs . C V ] 14 N ov 2 01 4 Convolutional Kernel Networks

C. Schmid, Z. Harchaoui, J. Mairal, 2021 .

On Learning the Geodesic Path for Incremental Learning

Piotr Koniusz, Mehrtash Harandi, Christian Simon, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Multi-Level Second-Order Few-Shot Learning pdf

Piotr Koniusz, Hongdong Li, Hongguang Zhang, 2022, IEEE Transactions on Multimedia.

Meta-Learning for Multi-Label Few-Shot Classification pdf

Piotr Koniusz, Mehrtash Harandi, Christian Simon, 2021, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

A Comparative Review of Recent Kinect-Based Action Recognition Algorithms

Lei Wang, Du Q. Huynh, Piotr Koniusz, 2019, IEEE Transactions on Image Processing.

6DoF Object Pose Estimation via Differentiable Proxy Voting Loss

Piotr Koniusz, Hongdong Li, Xin Yu, 2020, ArXiv.

3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition

Piotr Koniusz, Lei Wang, 2023, ArXiv.

Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning

Philip H. S. Torr, Piotr Koniusz, Songlei Jian, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Transductive Few-Shot Learning with Prototype-Based Label Propagation by Iterative Graph Refinement

Piotr Koniusz, Hao Zhu, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A Deeper Look at Power Normalizations

Fatih Murat Porikli, Piotr Koniusz, Hongguang Zhang, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

On Modulating the Gradient for Meta-learning

Richard Nock, Mehrtash Harandi, Piotr Koniusz, 2020, ECCV.

Higher-Order Pooling of CNN Features via Kernel Linearization for Action Recognition

Anoop Cherian, Stephen Gould, Piotr Koniusz, 2017, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).

Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons pdf

Anoop Cherian, Fatih Murat Porikli, Piotr Koniusz, 2016, ECCV.

Model Selection for Generalized Zero-shot Learning pdf

Hongguang Zhang, Piotr Koniusz, Piotr Koniusz, 2018, ECCV Workshops.

Graph-adaptive Rectified Linear Unit for Graph Neural Networks

Piotr Koniusz, Irwin King, Hao Zhu, 2022, WWW.

Flight Delay Prediction using Airport Situational Awareness Map

Flora D. Salim, Xinhong Hei, Piotr Koniusz, 2019, SIGSPATIAL/GIS.

Learning Partial Correlation based Deep Visual Representation for Image Classification

Piotr Koniusz, Peyman Moghadam, Luping Zhou, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Domain Adaptation by Mixture of Alignments of Second-or Higher-Order Scatter Tensors

Fatih Murat Porikli, Piotr Koniusz, Yusuf Tas, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Recovering Faces From Portraits with Auxiliary Facial Attributes

Xin Yu, Fatih Murat Porikli, Richard I. Hartley, 2019, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond

Rui Zhang, Mehrtash Tafazzoli Harandi, Fatih Murat Porikli, 2018, ECCV.

Identity-Preserving Face Recovery from Portraits

Piotr Koniusz, Fatih Porikli, Fatemeh Shiri, 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

Face Destylization

Xin Yu, Fatih Murat Porikli, Piotr Koniusz, 2017, 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Higher-Order Occurrence Pooling for Bags-of-Words: Visual Concept Detection.

K. Mikolajczyk, Piotr Koniusz, F. Yan, 2017, IEEE transactions on pattern analysis and machine intelligence.

Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching

Piotr Koniusz, Hongdong Li, Dylan Campbell, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Simple Dialogue System with AUDITED pdf

Piotr Koniusz, Yusuf Tas, Piotr Koniusz, 2021, BMVC.

Few-shot Action Recognition via Improved Attention with Self-supervision pdf

Hongdong Li, Xiaojuan Qi, Philip H. S. Torr, 2020, ArXiv.

Second-order Democratic Aggregation

Subhransu Maji, Piotr Koniusz, Tsung-Yu Lin, 2018, ECCV.

Museum Exhibit Identification Challenge for Domain Adaptation and Beyond pdf

Rui Zhang, Mehrtash Tafazzoli Harandi, Fatih Murat Porikli, 2018, ArXiv.

Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training

Flora D. Salim, Piotr Koniusz, Wei Shao, 2023, ArXiv.

Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting

Flora D. Salim, Piotr Koniusz, Wei Shao, 2023, IoTDI.

Contrastive Laplacian Eigenmaps pdf

Piotr Koniusz, Ke Sun, Hao Zhu, 2022, NeurIPS.

Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map

Flora D. Salim, Piotr Koniusz, Wei Shao, 2021, Neurocomputing.

COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference

Flora D. Salim, Piotr Koniusz, Wei Shao, 2019, BuildSys@SenSys.

Generalized Laplacian Eigenmaps

Piotr Koniusz, Hao Zhu, 2022, Neural Information Processing Systems.

Message Passing Neural Networks for Traffic Forecasting

Flora D. Salim, Piotr Koniusz, Wei Shao, 2023, ArXiv.

Exploiting Field Dependencies for Learning on Categorical Data

Piotr Koniusz, Peyman Moghadam, D. Pagendam, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Self-supervising Action Recognition by Statistical Moment and Subspace Descriptors

Piotr Koniusz, Lei Wang, Piotr Koniusz, 2020, ACM Multimedia.

Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition With CNNs

Du Q. Huynh, Piotr Koniusz, Lei Wang, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

REFINE: Random RangE FInder for Network Embedding

Piotr Koniusz, Hao Zhu, Piotr Koniusz, 2021, CIKM.

From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detection

Piotr Koniusz, Changsheng Lu, Hao Zhu, 2023, ArXiv.

Identity-Preserving Face Recovery from Stylized Portraits

Xin Yu, Fatih Murat Porikli, Richard I. Hartley, 2019, International Journal of Computer Vision.

Fisher-Bures Adversary Graph Convolutional Networks pdf

Ke Sun, Piotr Koniusz, Zhen Wang, 2019, UAI.

Graph Convolutional Network with Generalized Factorized Bilinear Aggregation pdf

Piotr Koniusz, Hao Zhu, Piotr Koniusz, 2021, ArXiv.

Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation

Minsu Cho, Piotr Koniusz, Dahyun Kang, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Towards a Robust Differentiable Architecture Search under Label Noise pdf

Lars Petersson, Piotr Koniusz, Mehrtash Harandi, 2021, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Comparison of mid-level feature coding approaches and pooling strategies in visual concept detection

Krystian Mikolajczyk, Fei Yan, Piotr Koniusz, 2013, Comput. Vis. Image Underst..

Novel image representations for visual categorisation with 'Bag-of-Words'

Piotr. Koniusz, Piotr Koniusz, 2013 .

Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)

Flora D. Salim, Piotr Koniusz, Wei Shao, 2023, Data Mining and Knowledge Discovery.

Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval

Piotr Koniusz, Lei Wang, Luping Zhou, 2022 .

A Comparative Review of Recent Kinect-Based Action Recognition Algorithms

Piotr Koniusz, D. Huynh, Lei Wang, 2019, IEEE Transactions on Image Processing.

6DoF Object Pose Estimation via Differentiable Proxy Voting Regularizer

Xin Yu, Hongdong Li, Piotr Koniusz, 2020, BMVC.