Activities

EUSIPCO 2021

Conference Organisation

I am the general chair for the European Signal Processing Conference (EUSIPCO) 2021 organised in Dublin. Proceedings are published open access with EURASIP and also on IEEE Xplore. Follow us on twitter @eusipco2021 and check out the conference website.

Automatic Asset Mapping

Commercialisation

Using computer vision and deep learning to automate registration of assets for telecoms operators, utility companies and civil infrastructure providers, AIMapIT replaces manual site surveys with fast, accurate detection and geotagging of assets from street level imagery with 2m accuracy.


ADAPT Research centre

Principal Investigator

I am a Principal Investigator with the SFI Adapt Research Centre facilitating research collaborations with industries.


Project Bonseyes

Partner TCD H2020 (2016-20)

Bonseyes project (Platform for Open Development of Systems of Artificial Intelligence,Grant agreement ID: 732204) is an open and expandable AI platform. It will transform AI development from a cloud centric model, dominated by large internet companies, to an edge device centric model through a marketplace and an open AI platform.

Publications: ACM Internet of Thing (2020),


Image by Barbara A Lane from Pixabay

Shapes & Patterns

Research

Pattern analysis is an important part for image processing. Some of our works have focused on developping robust techniques (e.g. M-estimation, Hough Transform, L2) for pattern registration (e.g. ellipse fitting) and reconstruction (e.g. 3D reconstruction from multiple views using RGB and RGB-D cameras).

Publications: Pattern Recognition (PR) (2018), PR (2016), PRL (2014), DSP (2013), PR (2013), PAMI (2009),


Image by Pezibear from Pixabay

Colour Transfer

Research

Colour transfer aims at changing the colour feel of an image (target image) using the colour palette of another image (palette image). Colour transfer can also be applied to videos, and for creating dynamic effects on static images. We have proposed several approaches to solve this problem based on Optimal Transport and information theory (L2 with GMM) as cost functions to minimize between colour distributions.

Publications: MMSP (2020), EUSIPCO (2019), IMVIP (2019), CVIU (2019), CVIU (2007), ICCV (2005)


Road Scene Analysis

Research

Object detection in road scene sequential images has many applications from mapping to autonomous driving. My PhD thesis (2001) investigated linear machine learning techniques (PCA) and histogram backprojections for object detection and recognition. Our more recent approaches use Convolutional Neural Networks (CNNs).

Publications: IMVIP (2020), Remote Sensing (2018), ICIP 2018, CVPR 2000, ICIP 2001


Image by StockSnap from Pixabay

Climate change

Research

Climate change is affecting people and their way of life including transportation of goods and people. Our work (2019) proposes to analyse satellite imagery in combination with street view imagery posted on social media during flooding events, for assessing the passability of roads. More recently (2020), we propose to infer 3d shape of roofs from aerial imagery (e.g. for measuring solar energy potentials).

Latest publications: Remote Sensing (2020)
Signal Processing: Image Communication (2019)

AI and Graphs

Research collaboration

This research project addresses Deep Learning and Structural Knowledge for image analysis. It is a collaboration between University of Angers (Jean-Baptiste Fasquel lead PI, and Jérémy Chopin PhD candidate), Nantes (Harold Mouchère, LS2N/IPI), and Paris (Isabelle Bloch (LTCI, Paris).

Latest publications: IPTA (2020)

Avatar perception

Research collaboration

Blendshape facial rigs are used extensively in the industry for facial animation of virtual humans. This research project explores the noticeability of blendshapes and presents new perceptually based models to predict perceptual importance of blendshapes (collaboration led by Rachel McDonnell).

Latest publications: CAG (2021), MIG (2020 Best short paper award)

Drone Images Trinity 2017

Dataset

Capturing and inferring 3D maps have many applications for Augmented Reality, GIS, urban planning, etc. In collaboration with Intel Movidius, a drone survey of TCD campus was captured in the summer 2017 allowing images and 3D point cloud to be available as open dataset.

Dataset Publication: Tara (2017)

Image by Pexels from Pixabay

Applied Forecasting

Teaching

This github repo shares some of the material (i.e. code in R and Rmd + lecturenotes in pdf and tex) used for teaching Applied Forecasting (5 ECTS) in Trinity College Dublin (2008-2020) for Sophisters. Please give credits if you find these materials useful.

Links: Github and Lecturenotes.

Image by Pexels from Pixabay

Generalized Linear Models

Teaching

My lecturenotes are available online in html format. These were used for teaching a course (5 ECTS) in Trinity College Dublin (2008-2018) for Sophisters. Please give credits if you find these materials useful.

Image by Pexels from Pixabay

Bootstrap, Jackknife and other resampling methods

Teaching

This github repo contains some of the materials used for teaching Bootstrap, Jackknife and other resampling methods (6 contact hours as part of a 5 ECTS Sophister class in Trinity College Dublin, 2005 & 2007). Beamer slides are provided as tex files and the resulting PDF RzDBootstrap.pdf is also available.

Image by Patrik Houštecký  from Pixabay

Latex Templates

writing

I share several templates on overleaf for writing documents in LaTeX: a Report Template, the Article Template used in the IMVIP and a template for putting together several pdf articles to form a book that has been used for the IMVIP book of proceedings Book of PDFs Template.

Image by Gerd Altmann from Pixabay

Videos

Making of

Videos are available on youtube presenting demos, seminars, interviews from my group, and I also edited a few for preparing EUSIPCO 2021.

Team

Team
GPU Cluster
NVIDIA GPU Quadro RTX6000 (x4), SSD 240GB (x2), Mem 32Gb (x12), etc.
Team AI Support
ADAPT centre
Prof. Vladimir Krylov
Assistant Professor in Statistics
Collaborator
Dublin City University (DCU) & ADAPT centre
Chao Jung Liu
TCD PhD candidate
3D reconstruction from images
Supervisor: Prof. Michael Manzke
2017-2021
TCD & Adapt Scholarship
Past PhD students
Dr. Eric Risser
Texture Synthesis Based Hybridisation for Images and Geometry
PhD thesis available in TCD library
Trinity College Dublin (2012)
Ussher Scholarship
Dr. Francois Pitie
Statistical Techniques for Visual Post-Production
PhD thesis co-supervised with Prof. Anil Kokaram
Trinity College Dublin (2006)
Dr. Niall Rea
High-level Event Detection in Broadcast Sports Video
PhD thesis co-supervised with Prof. Anil Kokaram
Trinity College Dublin (2005)
Past Research Fellows
Dr. Abdullah Bulbul
Marie Curie Research Fellow
FP7-PEOPLE-2013-IAPP (612334)
recruited in TCD
20 months: 09/11/2014-08/06/2016
Dr. Baiqiang Xia
Research Fellow
Enterprise Ireland IP-2014-0290
2014-16 (20 months)
Dr. Cem Direkoglu
Research Fellow
Enterprise Ireland IP-2007-505
2009-10 (12 months)
Dr. Niall Rea
Research Fellow
Enterprise Ireland IP-2006-0412
2006 (3 months)
Past Research Assistants
Kevin Moran
Research Assistant
Enterprise Ireland IP20160460
2018
Thomas Vulin
Marie Curie fellow - TCD Research Assistant
FP7-PEOPLE-2013-IAPP (612334)
seconded from Tapastreet to TCD
4 months: 13/02/2017-12/06/2017
Peter Redmond
Research Assistant
Enterprise Ireland IP-2014-0290
2014-16 (20 months)
Cyril Bourges
Marie Curie fellow - TCD Research Assistant
FP7-PEOPLE-2013-IAPP (612334)
seconded from Tapastreet to TCD
20 months: 01/03/2014-30/06/2015 and 01/09/2015-31/12/2015
John O' Kane
Research Assistant
Enterprise Ireland IP-2007-505
2008-2010
Aurelie Bahuaud
Research Assistant
Enterprise Ireland IP-2007-505
2008-10
Riccardo Veglianti
Research Assistant
Enterprise Ireland IP-2006-0412
2008-09
Past visitors
Olivier Barron
Visiting PhD candidate
Polytechnique Montreal
Michaelmas term 2018
Final year project supervisions
  1. Nicolas Digraci (2002-03), Impulsive audio event detection for video retrieval using Support Vector Machines
  2. Deirdre O'Regan (2004-05) Automated Face Detection in Image Sequences, awarded Siemes special merit prize 2005
  3. Patrick Kelly (2005-06) Indexing and Retrieving Photos in Personal Digital Collections
  4. Dermot Hayes-McCoy (2006-07) Evolutionary algorithms
  5. Conor Kelly (2006-07) Live Music Analysis
  6. Conor Devitt (2006-07) Improving Film Dubbing
  7. Sean Bruton (2007-08) Motion restoration in colonoscopy videos
  8. Eoghan Cunneen (2007-08) Music and Graphics
  9. Conor Hanratty (2007-08) Improving Film Dubbing
  10. Hugh Nowlan (2008-09) The Mouse of the Jedi
  11. Damien Toussain (2008-09) Make a wish foundation Ireland
  12. Declan O'Mahony (2008-09) Using prediction methods to investigate betting opportunities in Gaelic Football
  13. Lynda Rice (2009-10) Investigate the value of personal experience over career profiles when students come to choose their preferred job
  14. Sean Gallagher (2009-10) Online booking system for Network Access Clinic attendance
  15. Neil Brett (2010-11) Neptune website
  16. Keeva Bolger (2010-11) Customer Order Database
  17. Samuel Davies (2010-11) Copula and applications to Finance
  18. Timothy Costigan (2011-12) 3D model carving with Kinect
  19. Caoimhe Adams (2011-12) Spectral Analysis for Time Series
  20. Louis Jamieson (2011-12) Stochastic Processes and Their usage in Finance
  21. Aldeyar Seidali (2011-12) Extend Functionality of CiviCRM
  22. Gavin O'Doherty (2012-13) Arocar Development of Language Workbench
  23. Suzanne Thompson (2012-13) IGG Camp Management Mgt Infrastructure
  24. Rory Nolan (2013-14) Robust Regression with L2E
  25. Dearbhaile Flinn (2013-14) Generalised Linear Models
  26. Daniel Kestell (2013-14) Measuring the spin of a moving ball using Kinect
  27. Darragh Cunningham (2013-14) Eye tracking using a webcam
  28. Orme de Saint Hilaire (2013-14) Start-up performance generation
  29. Donal Beirne (2013-14) Identifying observation bias and creating reliable landuse change flow statistics from the EEA LUCAS database 2009-2012
  30. Sean Brophy (2013-14) Pattern Recognition (time series analysis)
  31. Aidan O'Neill (2014-15) Development of a Text Mining tool
  32. Boyang Shang (2014-15) L2 and GMM
  33. Conor Brady (2014-15) Deep learning for sentiment analysis for social media
  34. Erle Holgersen (2014-15) Text Classification with Neural Networks and Support Vector Machines
  35. Mark Nealon (2014-15) A Brief Survey of Taylor Approximations of Stochastic Di?erential Equations with Implementation
  36. Stephen Coleman (2015-16) Image Saliency in Two and Three Dimensional Video
  37. Matthew Craig (2015-16) Machine Learning Techniques Inspired by Natural Processes
  38. Elinor McColgan (2015-16) Sentiment Analysis Using Three Models on Twitter data
  39. Sean Hargadon (2015-16) Computational Fluid Dynamics (Navier-Stokes equations with RUST)
  40. Conor O Flanagan (2016-17) Exploration of Existing Methods of Image Recognition and their use in Modern Web applications
  41. Buinovskij, Andrius (2016-17) On Team Composition As A Predictive Feature In DOTA2 Match Outcome Prediction
  42. Carmen Byrne (2017-18 Math-FYP) An Overview on the Optimal Transportation Problem and its Applications
  43. Joe Barry (2017-18 Math-FYP) Stochastic Differential Equations and their Applications
  44. Eddie Bergman (2018-19 FYP CS) - Using Jupyter for the Creation of Educational Content
  45. Ankira Kalra (2018-19 MAI Internship CS) Travelport Digital
  46. Conor Fallon (FYP Maths 2019-2020), Optimal Transport and Applications
  47. Douglas Boyd Crotty (FYP Maths 2020-21), Graph Neural Networks
  48. Oisin McEnroe (FYP Maths 2020-21), Quaternions and Octonions for AI
  49. Aaryaman Saini (FYP Computer Eng. 2020-21), Computer Vision / Graph Neural Networks on iOS App
  50. Anurag Janghala (FYP BAI (D) 2020-21), Lip reading, face gestures, Computer Vision, deep learning
MSc dissertation supervisions
  1. Meng Yang (2006-07) Indexing and retrieving Faces in digital collections
  2. John O Kane (2007-08) Compression and Indexing of 3D motion data for fast animation
  3. Conor O Reilly (2007-08) Real-time multi-camera stream analysis for player interaction in 3D world
  4. Bogdan Cosmin Bucur (2008-09) Efficient Motion Capture Database Indexing on the Cell Processor
  5. Peadar Gearoid Donnelly (2008-09) Visual Hull on the Cell
  6. Peter Holland (2009-10) How can you manage what you are not measuring? Are companies using Analytics and Evidence Based Decision to improve business decision?
  7. Tang Ke (2009-10) How knowledge is managed in organisations? A study of current status of knowledge management in organisations of Ireland.
  8. Wessam Ezzedine (2010-11) camera network for video surveillance (supervision with V. Cahill)
  9. Ling Mao (2010-11) motion synthesis
  10. Kirill bogdanov (2010-11) detection of duplicates in video database
  11. Mairead Grogan (2012-13) Facial animation using Kinect
  12. David Ganter (2012-13) 3D Mesh from Kinect Capture
  13. Ronan O'Mullane (2012-13) Laser scan quality 3D mesh using kinect capture
  14. Niall Faughnan (2013-14) Video Summaries
  15. Sarah O'Reilly (2014-15) Decoding Sentimental Tweets
  16. Michael Leith (2015-16) Instrument Identification Using Deep Neural Network
  17. John McAlister (2015-16) Deep Learning for Stock Market Prediction
  18. Conor Sexton (2016-17) Advancing Neural Turing Machines: Identifying Shortest Paths in Graphs
  19. Gary Gunn (2016-17) Raw waveform source separation using deep convolutional neural networks
  20. Sarah Fernandes-Pinto-Fachada(MSc CS-AVR 2016-17) 3D Reconstruction of Reflective Surfaces
  21. Eoin O'Gorman (MAI dissertation 2017-18), Using Generative Adversarial Neural Networks for Audio Synthesis
  22. Jinwei Yuan (MSc CS-AVR 2017-18), Reinforcement learning on Image Classification
  23. Zhijian Dong (MSc CS-Data Science 2017-18), Neural Item Embedding for Recommendation Systems with Sequential Data
  24. Ankit Samantaray (MSC CS-AVR 2018-19) - Super Resolution over single frame image uing sub-pixel layer.
  25. Ravi Yadav (MSC CS-IS 2018-19) - Fusion Architecture of RGB and Thermal imagesfor Object Detection in Autonomous Vehicle
  26. Arka das (MSC CS-AVR 2018-19) - Evaluation of Spherical CNN
  27. Snehal Bhatia (MSC CS-FNS 2018-19) - Generative Adversarial Networks forImproving Imbalanced ClassificationPerformance
  28. Robert Chao Shen (MSC CS-AVR 2018-19) -Video Synthesis based on Deep LearningTechniques
  29. Aditya Misra (MSC CS-IS 2018-19) -Deep Learning Acceleration on the Edge
  30. Gaurav Gupta (MSc MAI 2019-2020), Simultaneous Localization and Mapping
  31. Ashwin Sundareswaran RAMASUBRAMANIAN (MSc CS-IS 2019-2020), 3D Multi Object Detection in Autonomous Vehicle Domain
  32. Shruti Verma (MSc CS-DS 2019-2020), Yolo Implementation With Text to Speech
  33. Abishek Vaithylingam (MSc CS-DS 2019-2020), Extraction of Retinal Blood Vessels from Fundus Images using Laplacian Pyramids and Anisotropic Diffusion
  34. Vishal Kumar (MSc CS-IS 2019-2020), An Investigation Into Graph Neural Networks
  35. Jayprakash Asolkar (MSc CS-IS 2019-2020), Data Classification using Microsoft Quantum Machine Learning Library
  36. Paritosh Chauhan(MSc CS-IS 2019-2020), Quantum Image Processing
  37. Daniel Kieran (MAI 2020-21), Text mining and machine learning with arxiv dataset

Publications

Some PDF are directly available here and an alternative html list of publications.html is other available.

Prizes and Praises

Research Google award 2007

Prof. Dahyot was the recipient Research Google award in 2007 ($50,000) to support her research (acknowledged in [DOI:10.1109/TPAMI.2008.288]).

Women in AI 2020

Best Short Paper at MIG 2020