Basura Fernando

I am is a research scientist at the IHPC of Agency for Science, Technology and Research (A*STAR) Singapore. I was an honorary lecturer at the Australian National University (ANU). Prior to that I was a research fellow at the Australian Centre for Robotic Vision (ACRV), the Australian National University. I obtained my PhD from the VISICS group of KU Leuven, Belgium in March 2015 under the supervision of Professor Tinne Tuytelaars. I am interested in Computer Vision and Machine Learning research.

Research interests: Action Recognition, Transfer Learning, Action Prediction, Weakly Supervised Learning, Computer Vision, Machine Learning. My CV

Contact: basuraf at gmail dot com

Jobs:

  • Updated: 11 Aug 2021: We have new job openings for Scientists (multiple) in Computer Vision. Apply here!
  • Updated: 11 Aug 2021: We have new job openings for Research Engineers (multiple) in Computer Vision. Apply Here!
  • News:





    Projects Teaching Supervision Services Education





    Grants

    The “Other Me”: Human-Centered AI Assistance In Situ
    This research is supported by the National Research Foundation Singapore under its AI Singapore Programme (Award Number: AISG2-RP-2020-0160).
    Duration : April 2021 to March 2025
    Amount : 10 Million SGD

    Learning To Anticipate Human Actions
    This research is supported by the National Research Foundation Singapore under its AI Singapore Programme (Award Number: AISG-RP-2019-010).
    Duration : October 2019 to October 2022
    Amount : 750,000 SGD

    Auto optical character recognition (OCR) of indented part markings on aero components
    This research is supported by RIE2020 Advanced Manufacturing And Engineering (AME) IAF-PP under the Singapore Aerospace Programme Cycle 13.
    Duration : Feb 2020 to Jan 2022
    Amount : 260,000 SGD

    Publications

    2021
    Action anticipation using latent goal learning
    Debaditya Roy and Basura Fernando
    WACV 22
    PDF Bibtex
    Weakly supervised action segmentation with effective use of attention and self-attention.
    Yan Bin Ng and Basura Fernando
    Computer Vision and Image Understanding 2021
    PDF Bibtex
    Action Anticipation using Pairwise Human-Object Interactions and Transformers
    Debaditya Roy and Basura Fernando
    IEEE Transactions on Image Processing 2021
    Impact factor 10.856
    PDF Bibtex
    Neural Feature Matching in Implicit 3D Representations
    Yunlu Chen, Basura Fernando, Hakan Bilen, Thomas Mensink, and Efstratios Gavves
    ICML 2021
    PDF Bibtex
    Anticipating human actions by correlating past with the future with Jaccard similarity measures
    Basura Fernando and Samitha Herath
    CVPR 2021
    PDF Bibtex
    A Log-likelihood Regularized KL Divergence for Video Prediction with A 3D Convolutional Variational Recurrent Network
    Haziq Razali and Basura Fernando
    WACV 2021
    Generation of Human Behavior Workshop

    PDF Bibtex
    FlowCaps: Optical Flow Estimation with Capsule Networks For Action Recognition
    Vinoj Jayasundara, Debaditya Roy and Basura Fernando
    WACV 2021
    PDF Bibtex
    DORi: Discovering Objects Relationship for Temporal Moment Localization of a Natural-Language Query in Video
    Cristian Rodriguez, Edison Marrese-Taylor, Basura Fernando, Hongdong Li, and Stephen Gould
    WACV 2021
    PDF Bibtex
    2020
    Forecasting future action sequences with attention: a new approach to weakly supervised action forecasting
    Yan Bin Ng, and Basura Fernando
    IEEE Transactions on Image Processing 2020
    Impact factor 10.856
    PDF Web Bibtex
    What do CNNs gain by imitating the visual development of primate infants?
    Shantanu Jaiswal, Dongkyu Choi, Basura Fernando
    BMVC 2020
    PDF Bibtex
    Injecting Prior Knowledge into Image Caption Generation
    Arushi Goel, Basura Fernando, Thanh-Son Nguyen, Hakan Bilen
    ECCV 2020
    In European Conference on Computer Vision Workshops

    PDF openreview Bibtex
    Inferring Temporal Compositions of Actions Using Probabilistic Automata
    Rodrigo Santa Cruz, Dylan Campbell, Anoop Cherian, Basura Fernando and Stephen Gould
    CVPR 2020
    Conference on Computer Vision and Pattern Recognition Workshops

    PDF arxiv Bibtex
    Weakly Supervised Gaussian Networks for Action Detection
    Basura Fernando and Cheston Tan and Hakan Bilen
    WACV 2020
    PDF arxiv Bibtex
    Human Action Sequence Classification
    Yan Bin Ng and Basura Fernando
    PDF Bibtex
    2019
    Hallucinating Unaligned Face Images by Multiscale Transformative Discriminative Networks
    Xin Yu and Fatih Porikli and Basura Fernando and Richard Hartley
    International Journal of Computer Vision (IJCV) 2019
    PDF Link Bibtex
    Using Temporal Information for Recognizing Actions from Still Images
    Samitha Herath, Basura Fernando and Mehrtash Harandi
    Pattern Recognition Journal, 2019
    PDF web Bibtex
    Semantic Face Hallucination: Super-Resolving Very Low-Resolution Face Images with Supplementary Attributes
    Xin Yu and Basura Fernando and Richard Hartley and Fatih Porikli
    To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2019
    PDF IEEE Access Bibtex
    Min-Max Statistical Alignment for Transfer Learning
    Samitha Herath, Mehrtash Harandi, Basura Fernando, and Richard Nock
    CVPR 2019
    PDF Web Bibtex
    Visual Permutation Learning
    Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian and Stephen Gould
    IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2019
    PDF IEEE PDF Bibtex
    2018
    Action Anticipation with RBF Kernelized Feature Mapping RNN
    Yuge Shi, Basura Fernando and Richard Hartley
    ECCV 2018
    PDF Bibtex
    Face Super-resolution Guided by Facial Component Heatmaps
    Xin Yu, Basura Fernando, Bernard Ghanem, Fatih Porikli, and Richard Hartley
    ECCV 2018
    PDF Bibtex
    VIENA2: A Driving Anticipation Dataset
    Mohammad Sadegh Aliakbarian, Fatemehsadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson
    Asian Conference on Computer Vision (ACCV 2018)
    PDF Bibtex
    Action Anticipation by Predicting Future Dynamic Images
    Cristian Rodriguez, Basura Fernando and Hongdong Li
    ECCV'18 workshop on Anticipating Human Behavior
    PDF Bibtex
    Super-Resolving Very Low-Resolution Face Images with Supplementary Attributes
    Xin Yu, Basura Fernando, Richard Hartley, and Fatih Porikli
    CVPR 2018
    PDF Bibtex
    Neural Algebra of Classifiers
    Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian, and Stephen Gould
    Winter Conference on Applications of Computer Vision (WACV) 2018
    PDF Bibtex
    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 and Grants

    Grant: Learning To Anticipate Human Actions That Happen In The Next One To Five Seconds Using Self-Regularised Future Content Generation For Human-Robotic Engagement
    Our ability to anticipate the behaviour of others comes naturally to us. For example, an experienced driver can often predict the behaviour of other road users. Similarly, a good table tennis player can estimate the direction of the ball just by observing the movements of the opponent. This phenomenon is called Action Anticipation, the ability to recognise actions of others before it happens in the immediate future. This is so natural to us but how to develop a computational approach to do the same remains a challenge. It is critical to transfer this ability to computers so that robots may be able to react quickly by anticipating human actions like humans. Robots' ability to understand what humans might do in the immediate future is important for the development of assistive robotics in domains such as manufacturing and healthcare. The objective of this project is to investigate a novel approach to anticipate human actions, specifically one to five seconds before action happens using visual information in human-robot engagement scenarios.
    Project website
    This research is supported by the National Research Foundation Singapore under its AI Singapore Programme (Award Number: AISG-RP-2019-010).
    Duration : October 2019 to October 2021
    Amount : 750,000 SGD

    Project: 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 March 2018

    Project: 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

    Project: 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

    Area Chair for ICCV 2021.

    Area Chair for IJCAI 2021.

    Area Chair for CVPR 2021.

    Area Chair for BMVC 2020.

    Senior Program Committee member at IJCAI-2020

    Area Chair for BMVC 2019.

    Senior Program Committee member at IJCAI-2019

    Area Chair for BMVC 2018

    Associate Editor ICRA 2018.

    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, 2018, 2019 reviewer

    ICCV 2013, 2017 reviewer

    ECCV 2014, 2016, 2018 reviewer

    NIPS 2016, 2017, 2018, 2019 reviewer

    ICML 2016, 2017, 2018, 2019 reviewer

    TPAMI: IEEE Transactions on Pattern Analysis and Machine Intelligence

    IJCV: International Journal of Computer Vision

    Machine Learning Journal

    IEEE Transactions on Image Processing

    PR: Pattern Recognition Journal

    PRL: Pattern Recognition Letters Journal

    IEEE Transactions on Neural Networks and Learning Systems

    IEEE Transactions on Multimedia

    CVIU: Computer vision and image understanding journal

    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

    1. 2016-2018 - PhD thesis co-supervisor - Xin Yu (ANU)
    (Graduated, the first appointment: a research Fellow at ANU.)

    2. 2016-2018 - PhD thesis co-supervisor/adviser - Peter Anderson (ANU)
    (Graduated, Graduated, the first appointment: a research Scientist at Georgia Tech.)

    3. 2015-2018 - PhD thesis co-supervisor - Rodrigo Santa Cruz (ANU)
    (Graduated, the first appointment: a postdoctoral research fellow at CSIRO)

    4. 2016-2019 - PhD Chair of the panel and thesis co-supervisor - Mohammad Sadegh Aliakbarian (ANU)
    (Graduated)

    5. 2016-2019 - PhD thesis co-supervisor - Samitha Herath (ANU)
    (Graduated, the first appointment: a research Fellow at the University of Monash.)

    6. 2016-2020 - PhD thesis co-supervisor - Cristian Rodriguez Opazo (ANU)
    (Graduated, the first appointment: a research Fellow at the University of Adelaide.)

    MSc/ BSc Supervision

    2020: Final year project (NTU) - Adipraja Widjaja, Sergi - Deep learning methods for weakly supervised video temporal action localization (Bachelor thesis)

    2018: ENGN4712 - Engineering Research and Development Project (ANU) - Tengda Han - Video object segmentation (Bachelor thesis)

    2018: ENGN4200 - Individual Project (ANU) - Yuge Shi -Video action prediction (Bachelor thesis)

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

    Other Supervision

    1. 2018-2019 Arushi Goel (Research Engineer)
    (Now a PhD student at University of Edinburgh)

    2. 2019-Now Yan Bin Ng (Research Engineer)

    3. 2019-Now Haziq Razali (Research Engineer)

    4. 2019-Now Jaiswal Shantanu (Research Engineer)

    5. 2019-Now Vinoj Jayasundara (Research Engineer)

    6. 2020-now Debaditya Roy (Research Scientist)

    7. 2020-now Brandon Loh (Research Engineer)

    8. 2021-now Johnathon Toh (Research Engineer)

    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

    Conference/workshops/meetings attended.

    Jun. 2017 - CVPR - Hawaii, USA
    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
    July 2012 - INRIA Visual Recognition and Machine Learning - Grenoble, France

    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