Postdoctoral researcher

Member LEAR Team, INRIA Rhone-Alpes, Grenoble, France.

I research image/video classification problems, kernel methods and deep learning. I worked with Dr. Julien Mairal, Dr. Zaid Harchaoui and Dr. Cordelia Schmid.
I have joined the NICTA/Data61 Canberra Research Lab in August, 2015.
See Google Scholar for the full record of my publications.

News:
2x ECCV'20 (one spotlight ~3.6% acceptance rate), 2x TPAMI'20, CVPR'20, PAKDD'20, NIPS'19 workshop, BuildSys'19 and SIGSPATIAL'19 papers accepted (plus a first prize for the fast forward presentation for the last paper). Congrats to Christian Simon, Hongguang Zhang, Xianjing Wang, Arian Prabowo and Wei Shao.
PK's talk in WACV 2020 workshop Vision Applications & Solutions to Biased or Scarce Data (VASBSD) entitled Statistical Representations for Domain Adaptation and Few-shot Learning. Big thanks to Fatih Porikli and Kuan-Chuan Peng.
One ICCV'19, one UAI'19, two CVPR'19, two WACV'19 and one IJCV'19 papers accepted. Congrats Lei Wang, Fatemeh Shiri and Hongguang Zhang!
I am organising an ICCV 2019 tutorial entitled Second- and Higher-order Representations in Computer Vision with my colleagues Mehrtash Harandi, Lei Wang and Ruiping Wang.
PK is serving as an Area Chair for ICLR 2021, ECCV 2020, BMVC 2020 and our Australian CV conf. DICTA 2020 (SR). I have served so far as an SPC for AAAI 2020 and an AC for ICLR 2020, ICLR 2019, WACV 2019, ICCV 2019 and BMVC 2019.
I am the main advisor of four PhD students at CECS/ANU: Lei Wang, Fatima Shiri, Yusuf Tas and Hongguang Zhang. I am co-supervising (D61/second/associate supervisor, etc.) Christian Simon (ANU) with Dr. Mehrtash Harandi (Monash), Peipei Song (ANU) with A/Prof. Nick Barnes (ANU), Arian Prabowo with A/Prof. Flora Salim (RMIT), and Sheila Caceres (UoS) with Prof. Fabio Ramos (UoS). If you are interested in PhD studies at the Australian National University and/or Data61/CSIRO, read here.
I am organising an ACCV 2018 workshop and a mini-challenge entitled Museum Exhibit Identification Challenge (Open MIC) for Domain Adaptation and Few-Shot Learning.
The Open MIC dataset is available for non-commercial academic research Open MIC Dataset (ECCV 2018).
Two ECCV'18 (oral ~2% acceptance rate/poster) and one BMVC'18 (spotlight ~6% acceptance rate) papers accepted. Congrats Yusuf Tas and Tsung-Yu Lin!
Two CVPR'18 and one WACV'18 papers accepted. Congrats Fatemeh Shiri and Hongguang Zhang!
I have been listed as an Outstanding Reviewer by ICCV 2017, CVPR 2017 and ECCV 2016 Awards Page.
I am organising a full-day CVPR 2017 workshop entitled Tensor Methods in Computer Vision with my colleagues Anoop Cherian and Fatih Porikli.
I have been listed as an Outstanding Reviewer at CVPR 2015 Awards Page.
Code for Convolutional Kernel Networks is here.
Link to the project CLARET II: Classification and Retrieval of Images I pursued at CVSSP, UK.

Recent Publications

2020
Few-shot Action Recognition with Permutation-invariant Attention, Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip Torr, Piotr Koniusz, European Conference on Computer Vision (ECCV), 2020 (spotlight ~3.6% acceptance rate)

On Learning to Modulate the Gradient for Fast Adaptation of Neural Networks, Christian simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi, European Conference on Computer Vision (ECCV), 2020

Adaptive Subspaces for Few-Shot Learning, Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi, Computer Vision and Pattern Recognition (CVPR), 2020. Also, see the Supp. Mat. and the GitHub code.

Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification, Piotr Koniusz, Hongguang Zhang, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020

Tensor Representations for Action Recognition, Piotr Koniusz, Lei Wang, Anoop Cherian, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020

Relation Embedding for Personalised Translation-based POI Recommendation, Xianjing Wang, Flora Salim, Yongli Ren, Piotr Koniusz, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2020 (~21% acceptance rate)

6DoF Object Pose Estimation via Differentiable Proxy Voting Loss, Xin Yu, Zheyu Zhuang, Piotr Koniusz, Hongdong Li, ArXiV 2020

Hallucinating Statistical Moment and Subspace Descriptors from Object and Saliency Detectors for Action Recognition, Lei Wang, Piotr Koniusz, ArXiV 2020

Few-shot Action Recognition via Improved Attention with Self-supervision, Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip Torr, Piotr Koniusz, ArXiV 2020

Rethinking Class Relations: Absolute-relative Few-shot Learning, Hongguang Zhang, Philip Torr, Hongdong Li, Songlei Jian, Piotr Koniusz, ArXiV 2020

Few-shot Learning with Multi-scale Self-supervision, Hongguang Zhang, Philip Torr, Piotr Koniusz, ArXiV 2020

Multi-Label Meta-Learning, Christian Simon, Piotr Koniusz, Mehrtash Harandi, ArXiV 2020

Task-Dependent Preconditioning via Meta-Learning, Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi, ArXiV 2020

Generalized Zero-Shot Learning Using Mixture of Subspaces, Ali Cheraghian, Shafin Rahman, Mohammad Sadegh Aliakbarian, Christian Simon, Pengfei Fang, Mehrtash Harandi, Piotr Koniusz, Lars Petersson, Dylan Campbell, ArXiV 2020

Multi-depth Discriminative Second-order Similarity Network for Few-shot Learning, Hongguang Zhang, Hongdong Li, Piotr Koniusz, ArXiV 2020

2019
Fisher-Bures Adversary Graph Convolutional Networks, Ke Sun, Piotr Koniusz, Jeff Wang, Conference on Uncertainty in Artificial Intelligence (UAI), 2019 (~26% acceptance rate). Also, see the GitHub code.

Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition with CNNs, Lei Wang, Piotr Koniusz, Du Q. Huynh, International Conference on Computer Vision (ICCV), 2019

Identity-preserving Face Recovery from Stylized Portraits, Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard Hartley, Piotr Koniusz, International Journal of Computer Vision (IJCV), 2019. Also, see the GitHub code.

A Comparative Review of Recent Kinect-basedAction Recognition Algorithms, Lei Wang, Du Q. Huynh, Piotr Koniusz, IEEE Transactions on Image Processing (TIP), 2019

Few-Shot Learning via Saliency-guided Hallucination of Samples, Hongguang Zhang, Jing Zhang, Piotr Koniusz, Computer Vision and Pattern Recognition (CVPR), 2019. Also, see the GitHub code.

Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring, Hongguang Zhang, Yuchao Dai, Hongdong Li, Piotr Koniusz, Computer Vision and Pattern Recognition (CVPR), 2019. Also, see the GitHub code.

COLTRANE: ConvolutiOnal TRAjectory Network for Deep Map Inference, Arian Prabowo, Piotr Koniusz, Wei Shao, Flora Salim, ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys), 2019 (~21-24% acceptance rate)

Flight Delay Prediction using Airport Situational Awarness Map, Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Koniusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora Salim, ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2019 (~21-24% acceptance rate)

Deep Subspace Networks for Few-Shot Learning, Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi, Neural Information Processing Systems (NIPS) Workshop, 2019. See the Slides. Our First Version (OpenReview) from 28 Sep 2018 precedes by 8 months a weirdly similar Paper Draft (ArXiv) from 31 May 2019.

Power Normalizing Second-order Similarity Network for Few-shot Learning, Hongguang Zhang, Piotr Koniusz, Winter Conference on Applications of Computer Vision (WACV), 2019. Also, see the GitHub code.

Recovering Faces from Portraits with Auxiliary Facial Attributes,
Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard Hartley, Piotr Koniusz, Winter Conference on Applications of Computer Vision (WACV), 2019

2018
Model Selection for Generalized Zero-shot Learning, Hongguang Zhang, Piotr Koniusz, ECCV Workshop, TASK-CV 2018

CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps, Yusuf Tas, Piotr Koniusz, BMVC 2018 (spotlight ~6% acceptance rate)

Museum Exhibit Identification Challenge for Domain Adaptation and Beyond,
Piotr Koniusz, Yusuf Tas, Hongguang Zhang, Mehrtash Harandi, Fatih Porikli, Rui Zhang, ECCV, 2018 (oral ~2% acceptance rate, ECCV'18 talk /YouTube/)

Second-order Democratic Aggregation,
Tsung-Yu Lin, Subhransu Maji, Piotr Koniusz, ECCV, 2018. Also, see the GitHub code.

TrajCNN: Deep Map Inference from GPS Trajectories, Arian Prabowo, Piotr Koniusz, Wei Shao, Flora Salim, ArXiV 2018

Projective Subspace Networks For Few-Shot Learning, Christian Simon, Piotr Koniusz, Mehrtash Harandi, ArXiV 2018

Zero-Shot Kernel Learning, Hongguang Zhang, Piotr Koniusz, CVPR 2018. Also, see the GitHub code.

A Deeper Look at Power Normalizations, Piotr Koniusz, Hongguang Zhang, Fatih Porikli, CVPR 2018

Identity-preserving Face Recovery from Portraits, Fatemeh Shiri, Xin Yu, Fatih Porikli, Richard Hartley, Piotr Koniusz, WACV 2018

2017
Face Destylization, Fatemeh Shiri, Xin Yu, Piotr Koniusz, Fatih Porikli,
The International Conference on Digital Image Computing: Techniques and Applications (DICTA 2017)

End-to-end Statistical Matching for Domain Adaptation,
P. Koniusz et al., 2017

Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors,
P. Koniusz, Y. Tas, F. Porikli, Computer Vision and Pattern Recognition (CVPR), 2017

Higher-order Pooling of CNN Features via Kernel Linearization for Action Recognition,
A. Cherian, P. Koniusz, S. Gould, Winter Conference on Applications of Computer Vision (WACV), 2017

Artwork Identification from Wearable Camera Images for Enhancing Experience of Museum Audiences,
R. Zhang, Y. Tas, P. Koniusz, Museums and the Web (MW), 2017 (to appear, acceptance rate 25-33%).

2016
Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors,
P. Koniusz, Y. Tas, F. Porikli, ArXiv Preprint 2016

Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons,
P. Koniusz, A. Cherian, F. Porikli, European Conference on Computer Vision 2016

Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons,
P. Koniusz, A. Cherian, F. Porikli, ArXiv Preprint 2016

Sparse Coding for Third-order Super-symmetric Tensor Descriptors with Application to Texture Recognition,
P. Koniusz, A. Cherian, Computer Vision and Pattern Recognition 2016 (spotlight)

Higher-order Occurrence Pooling for Bags-of-Words: Visual Concept Detection,
P. Koniusz, F. Yan, P. H. Gosselin, K. Mikolajczyk, IEEE Transactions on Pattern Analysis and Machine Intelligence 2016 (accepted)

2015
Dictionary Learning and Sparse Coding for Third-order Super-symmetric Tensors, P. Koniusz, A. Cherian, ArXiv Preprint 2015

2014
Convolutional Kernel Networks, J. Mairal, P. Koniusz, Z. Harchaoui, C. Schmid, NIPS 2014

2013
Higher-order Occurrence Pooling on Mid- and Low-level Features: Visual Concept Detection,
P. Koniusz, F. Yan, P. H. Gosselin, K. Mikolajczyk, Technical Report (2013)

Robust Multi-Speaker Tracking via Dictionary Learning and Identity Modelling,
M. Barnard, P. Koniusz, W. Wang, J. Kittler, S. M. Naqvi, J. Chambers, IEEE Transactions on Multimedia 2013

A Robust and Scalable Visual Category and Action Recognition System using Kernel Discriminant Analysis with Spectral Regression, M. A. Tahir, F. Yan, P. Koniusz, M. Awais, M. Barnard, K. Mikolajczyk, A. Bouridane, J. Kittler, IEEE Transactions on Multimedia 2013

Novel Image Representations for Visual Categorisation with Bag-of-Words, P. Koniusz, PhD Dissertation (supervised by Dr. K. Mikolajczyk, reviewed by Prof. M. Bober and Prof. Theo Gevers)

2012
Comparison of Mid-Level Feature Coding Approaches And Pooling Strategies in Visual Concept Detection,
P. Koniusz, F. Yan, K. Mikolajczyk, Computer Vision and Image Undertanding 2012

2011
Spatial Coordinate Coding To Reduce Histogram Representations, Dominant Angle And Colour Pyramid Match, P. Koniusz, K. Mikolajczy, ICIP 2011

Soft Assignment Of Visual Words As Linear Coordinate Coding And Optimisation Of Its Reconstruction Error, P. Koniusz, K. Mikolajczyk, ICIP 2011

2010
On a Quest for Image Descriptors Based on Unsupervised Segmentation Maps, P. Koniusz, , K. Mikolajczyk, ICPR 2010

2009
Segmentation Based Interest Points and Evaluation of Unsupervised Image Segmentation Methods,
P. Koniusz, , K. Mikolajczyk, BMVC 2009