Basura Fernando

Dr. Basura Fernando is a research fellow at the Australian Centre for Robotic Vision (ACRV) and the Australian National University (ANU). He obtained PhD from VISICS group of KU Leuven, Belgium in March 2015. He is interested in Computer Vision and Machine Learning research. Has has contributed to statistical visual domain adaptation and human action recognition. He currently leads the "video representation project" of the Australian Centre of Excellence for Robotic Vision.

Research interests: Visual representation learning, Visual recognition and analysis, Pattern recognition and data mining, Statistical Machine Learning, Computer Vision. My CV

Contact: Details

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Information for potential PhD students.





Projects Teaching Supervision Services Education





Project pages and code

Publications

2017
Action Recognition with Dynamic Image Networks
Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (Accepted)
arxiv IEEE PDF Bibtex
State of the art results on UCF101 (96.0%) and HMDB51 (74.9%) !
Unsupervised Domain Adaptation Based on Subspace Alignment
Basura Fernando, Rahaf Aljundi, Remi Emonet, Amaury Habrard, Marc Sebban and Tinne Tuytelaars
Advances in Computer Vision and Pattern Recognition book series (ACVPR)
PDF Bibtex
Encouraging LSTMs to Anticipate Actions Very Early
Mohammad Sadegh Aliakbarian, Fatemehsadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson and Lars Andersson
ICCV 2017
State-of-the-art in action anticipation!
PDF arxiv Bibtex
Discriminatively Learned Hierarchical Rank Pooling Networks
Basura Fernando and Stephen Gould
International Journal of Computer Vision (IJCV)
PDF PDF (published) arxiv Code Project Bibtex
Self-Supervised Video Representation Learning With Odd-One-Out Networks
Basura Fernando, Hakan Bilen, Efstratios Gavves, Stephen Gould
CVPR 2017
PDF arxiv Bibtex
Generalized Rank Pooling for Activity Recognition
Anoop Cherian, Basura Fernando, Mehrtash Harandi, Stephen Gould
CVPR 2017
PDF arxiv Bibtex
DeepPermNet: Visual Permutation Learning
Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian, Stephen Gould
CVPR 2017
PDF arxiv Bibtex
Unsupervised Human Action Detection by Action Matching
Basura Fernando, Sareh Shirazi, Stephen Gould
CVPR Workshops 2017
PDF arxiv Bibtex
Deep Learning Based Decision Support System for Automated Diagnosis of Age-related Macular Degeneration (AMD)
Sajib Kumar Saha, Di Xiao, Basura Fernando, Mei-Ling Tay-Kearney, Dong An, and Yogesan Kanagasingam.
Investigative Ophthalmology & Visual Science, 58(8):25--25, 2017.
Impact factor for 2016: 3.303
Zero-Shot Image Captioning with Constrained Beam Search
Peter Anderson, Basura Fernando, Mark Johnson and Stephen Gould
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017.
arxiv Bibtex
Generalized BackPropagation, Etude De Cas: Orthogonality
Mehrtash Harandi and Basura Fernando
arxiv
arxiv Bibtex
2016
SPICE: Semantic Propositional Image Caption Evaluation
Peter Anderson, Basura Fernando, Mark Johnson, Stephen Gould
ECCV 2016
PDF Project Bibtex
Learning End-to-end Video Classification with Rank-Pooling
Basura Fernando, Stephen Gould
ICML 2016
PDF JMLR PDF project Bibtex
Rank pooling and variants
Rank Pooling for Action Recognition
Basura Fernando, Efstratios Gavves, Jose Oramas, Amir Ghodrati and Tinne Tuytelaars
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
PDF(academia) PDF Code Bibtex project
Rank pooling and variants
Dynamic Image Networks for Action Recognition
Hakan Bilen*, Basura Fernando*, Efstratios Gavves, Andrea Vedaldi and Stephen Gould
* Equal contributions
CVPR 2016 (oral)
PDF project Bibtex Read more
Simple Dynamic Image Code
Dynamic Image Nets Code

Download Dynamic Images for UCF101
Rank pooling and variants
Discriminative Hierarchical Rank Pooling for Activity Recognition
Basura Fernando, Peter Anderson, Marcus Hutter and Stephen Gould
CVPR 2016
PDF Code project Bibtex Read more
Rank pooling and variants
2015
Learning to rank based on subsequences
Basura Fernando, Efstratios Gavves, Damien Muselet and Tinne Tuytelaars
ICCV 2015
PDF arxiv Supplementary (120Mb) Bibtex Code Read more
Guided Long-Short Term Memory for Image Caption Generation
Xu Jia, Efstratios Gavves, Basura Fernando and Tinne Tuytelaars
ICCV 2015
PDF arxiv Bibtex Read more
Modeling Video Evolution For Action Recognition
Basura Fernando, Efstratios Gavves, Jose Oramas, Amir Ghodrati and Tinne Tuytelaars
CVPR 2015 (oral)
PDF Code project Bibtex
Dataset Fingerprints: Exploring Image Collections Through Data Mining
Konstantinos Rematas, Basura Fernando, Frank Dellaert and Tinne Tuytelaars
CVPR 2015
PDF Project Bibtex
Location Recognition Over Large Time Lags
Basura Fernando, Tatiana Tommasi and Tinne Tuytelaars
Computer Vision and Image Understanding
arxiv PDF Project & Code Bibtex
Joint cross-domain classification and subspace learning for unsupervised adaptation
Basura Fernando, Tatiana Tommasi and Tinne Tuytelaars
Pattern Recognition Letters
PDF Code Project Bibtex
2014
Subspace Alignment For Domain Adaptation
Basura Fernando, Amaury Habrard, Marc Sebban and Tinne Tuytelaars
arXiv.org
PDF arxiv Code Bibtex
Color Features For Dating Historical Color Images
Basura Fernando, Damien Muselet, Rahat Khan and Tinne Tuytelaars
International conference of image processing (ICIP)
PDF Bibtex
Local Alignments for Fine-Grained Categorization
Efstratios Gavves, Basura Fernando, Cees G.M. Snoek, Arnold W.M. Smeulders and Tinne Tuytelaars
International Journal of Computer Vision (IJCV)
January 2014, Volume 111, Issue 2, pp 191-212,Issn 0920-5691
PDF (Accepted author version) Bibtex
Mining Mid-level Features for Image Classification
Basura Fernando, Elisa Fromont, Tinne Tuytelaars
International Journal of Computer Vision (IJCV)
July 2014, Volume 108, Issue 3, pp 186-203
PDF (Accepted author version) PDF (Springer) Bibtex
2013
Mining Multiple Queries for Image Retrieval: On-the-fly learning of an Object-specific Mid-level Representation
Basura Fernando and Tinne Tuytelaars
ICCV 2013
PDF Suppl. Material Dataset Bibtex
Unsupervised Visual Domain Adaptation Using Subspace Alignment
Basura Fernando, Amaury Habrard, Marc Sebban and Tinne Tuytelaars
ICCV 2013
PDF Suppl. Material Code Bibtex
Fine-Grained Categorization by Alignments
Efstratios Gavves, Basura Fernando, Cees Snoek, Arnold Smeulders and Tinne Tuytelaars
ICCV 2013
PDF Demo Bibtex
Does Evolution cause a Domain Shift?
Konstantinos Rematas, Basura Fernando, Tatiana Tommasi and Tinne Tuytelaars
International Workshop on Visual Domain Adaptation and Dataset Bias - ICCV 2013
PDF Project Bibtex
The AXES submissions at TrecVid 2013
Robin Aly, Relja Arandjelovic, Ken Chatfield, Matthijs Douze, Basura Fernando, Zaid Harchaoui, Kevin McGuinness, Noel E OConner, Dan Oneata, Omkar M Parkhi, Danila Potapov, Jerome Revaud, Cordelia Schmid, Jochen Schwenninger, David Scott, Tinne Tuytelaars, Jakob Verbeek, Heng Wang, Andrew Zisserman
TRECVid 2013
PDF
2012
Effective Use of Frequent Itemset Mining for Image Classification
Basura Fernando, Elisa Fromont, Tinne Tuytelaars
ECCV 2012
PDF Project Code Bibtex
Discriminative Feature Fusion for Image Classification
Basura Fernando, Elisa Fromont, Damien Muselet, Marc Sebban
CVPR 2012
PDF Bibtex
AXES at TRECVID 2012: KIS, INS, and MED
Aly, Robin and McGuinness, Kevin and Chen, Shu and O'Connor, Noel E. and Chatfield, Ken and Parkhi, Omkar and Arandjelovic, Relja and Zisserman, Andrew and Fernando, Basura and Tuytelaars, Tinne and Oneata, Dan and Douze, Matthijs and Revaud, Jerome and Schwenninger, Jochen and Potapov, Danila and Wang, Heng and Harchaoui, Zaid and Verbeek, Jakob and Schmid, Cordelia
TRECVid 2012
PDF
Supervised learning of gaussian mixture models for visual vocabulary generation
Basura Fernando, Elisa Fromont, Damien Muselet, Marc Sebban
Journal of Pattern Recognition Volume 45, Issue 2, February 2012
PDF Bibtex

Projects

ARC Centre of Excellence for Robotic Vision
Robots are changing the way we live and work. The Australian Centre for Robotic Vision (ACRV) brings together Australia's top researchers in computer vision and robotics to lead the world in robotic vision research. Robotic vision is the key enabling technology that will allow robotics to transform labour-intensive industries, disrupt stagnant markets, and ensure robots become a ubiquitous feature of the modern world.
Project website
Duration : June 2015 to now

EU-FP7 AXES: Access to Audiovisual Archives
The goal of AXES is to develop tools that provide various types of users with new engaging ways to interact with audiovisual libraries, helping them discover, browse, navigate, search and enrich archives. In particular, apart from a search-oriented scheme, we will explore how suggestions for audiovisual content exploration can be generated via a myriad of information trails crossing the archive. This will be approached from three perspectives (or axes): users, content, and technology.
Project website
Duration : May 2012 to March 2015

BEELDCANON: Providing access to the rich Dutch-Flemish image culture
Images are an essential part of our culture. Thanks to digitization and other technological innovations it is easier to distribute images. The research project BEELDCANON (Canon Image) wants to map out 'typical' images from the Flemish and Dutch culture, store them into a database and make the database easily searchable. Flemish researchers focus on listing buildings, such as the Atomium, Louvain's town hall or the Cathedral in Antwerp, while their Dutch counterparts focus on typical landscapes or scenes like the cheese market in Alkmaar and the Dam in Amsterdam.
Project website
Duration : September 2011 to May 2013

Professional Activities

Organising CVPR17 workshop on Brave New Ideas for Motion and Spatio-Temporal Representations.

Organising ECCV 2016 workshop titled Brave New Ideas For Motion Representations.

Co-chairing the CVPR 2016 oral and spotlight session on Learning and CNN Architectures.

Program committee member of Robotic Vision RVSS 2016 Summer School.

Program committee member of RoboVis 2016 workshop.

Review Activities

CVPR 2013, 2015, 2016, 2017 reviewer

ICCV 2013, 2017 reviewer

ECCV 2014, 2016 reviewer

NIPS 2016 reviewer

TPAMI: IEEE Transactions on Pattern Analysis and Machine Intelligence

IJCV: International Journal of Computer Vision

CVIU: Computer vision and image understanding journal

PR: Pattern Recognition Journal

PRL: Pattern Recognition Letters Journal

Machine Learning Journal

IEEE Transactions on Neural Networks and Learning Systems

IEEE Transactions on Multimedia

Teaching

Guest lecture 2017 Semester1 : ENGN4528: Computer Vision at ANU

Tutorial on Action recognition and Semitic Vision at the "Robotic Vision Summer School" RVSS 2017

Guest lecture in Advanced Topics in Mechatronics Systems ENGN8536 ANU

Guest lecture 2016 Semester1 : ENGN4528: Computer Vision at ANU

2015 Spring : H09J2A: Pattern Recognition and Image Interpretation (TA) at KU Leuven

2014 Spring : H09J2A: Pattern Recognition and Image Interpretation (TA) at KU Leuven

2013 Spring : H09J2A: Pattern Recognition and Image Interpretation (TA) at KU Leuven

PhD Supervision

2016-2018 - PhD Chair of the panel and thesis co-supervisor - Mohammad Sadegh Aliakbarian (ANU)

2016-2018 - PhD thesis co-advisor - Samitha Herath (ANU)

2015-2017 - PhD thesis co-advisor - Rodrigo Santa Cruz (ANU)

2016-2018 - PhD thesis co-advisor - Cristian Rodriguez Opazo (ANU)

2017-2019 - PhD thesis co-advisor - Zachary Jiang (ANU)

2013 : Learning object categories from the web - Alberto Dominguez (Master thesis KU Leuven)

Seminar, talks

May 24, 2016 - Rank pooling and variants for action and activity recognition - ACRV The Australian National University

March 17, 2016 - Action and Activity Recognition Research at ANU - Australian Centre for Visual Technologies, The University of Adelaide, Australia

July 15, 2015 - Effective Image and Video Representations - Australian Centre for Robotic Vision, ANU, Australia

March 30, 2015 - Image Representations for Improving Object Recognition - VISICS Lab, Leuven, Belgium

Dec 12, 2013 - Unsupervised Visual Domain Adaptation Using Subspace Alignment - VISICS Lab, Leuven, Belgium

Dec 12, 2013 - Mining Multiple Queries for Image Retrieval- VISICS Lab, Leuven, Belgium

Dec 04, 2012 - Learning mid-level features for classification and retrieval - Intelligent Systems Lab, Amsterdam

Nov 22, 2012 - Learning mid-level features for image retrieval - Hubert-Curien Lab, Saint Etienne, France

May 15, 2012 - Discriminative Feature Fusion for Image Classification - VISICS Lab, Leuven, Belgium

Summer schools

9-13 July 2012 - INRIA Visual Recognition and Machine Learning - Grenoble, France

Conference/workshops

Jun. 2016 - CVPR - Las Vegas, USA
Jun. 2016 - ICML - New York, USA
Dec. 2015 - ICCV - Santiago, Chile
Dec. 2013 - ICCV - Sydney, Australia
Aug. 2013 - iMinds Opportunity Recognition - Leuven, Belgium
Jul. 2013 - ROKS - Leuven, Belgium
Oct. 2012 - ECCV - Florence, Italy

Education

Bachelor of Science in Engineering
University of Moratuwa Sri Lanka
Computer Science and Engineering
2003-2007

Master of Science - Color in Informatics and Media Technology
University of Saint-Etienne France and University of Gjovik Norway
Color in Informatics and Media Technology
2009-2011

PhD
KU Leuven, Belgium
Computer Vision
2011-2015

Scholarships and awards

Mahapola Scholarship (Sri Lanka)
2003-2007

Erusmus Mundus Scholarship (European Union)
2009-2011

Ph.D Fellowship (KU Leuven, Belgium)
01-Oct-2011 to 31-March-2015

Research Fellowship (ARC Centre of Excellence for Robotic Vision, The Australian National University)
02-July-2015 to 31-December-2018