Synthetic Data for Machine Learning

One Day Meeting: Synthetic Data for Machine Learning

Wednesday 8 November 2023

Chairs: Abdulrahman Kerim - UCA, Leandro Soriano Marcolino – Lancaster University, Erickson Nascimento - Universidade Federal de Minas Gerais & Microsoft

Keynote Speakers

Dr. Tadas Baltrusaitis (Principal Scientist, Microsoft) Prof. Edmond Prakash (Research Centre for Creative Technologies, UCA)

Programme

The recent success of Machine Learning (ML) models is associated with the ability to train deep models on large-scale training data. However, annotating large-scale datasets is still the bottleneck in Computer Vision (CV) and Natural Language Processing (NLP) fields. Furthermore, ensuring diverse training data under challenging attributes like adverse weather conditions or when data is scarce is not only dangerous, time-consuming, and hard to collect but also cumbersome and subjective to human errors in the annotation process. Synthetic data comes as a solution to help solve all the above issues. While its application in CV and NLP has attracted more attention, especially with the recent paradigm shift from model-centric ML to data-centric ML solutions. This Symposium explores all stages of synthetic data from its creation to use in training and as applications.

The Programme for the Meeting can be found here.

09:30 Registration and Coffee 10.00 Keynote Talk - Dr. Tadas Baltrusaitis (Principal Scientist, Microsoft)

10.45 Divyanshu Mishra (University of Oxford) - Dual Conditioned Diffusion Models for Out-of-Distribution Detection

11.15 Coffee Break

11.45 Bram Vanherle (Hasselt University) - Analysis of Training Object Detection Models with Synthetic Data

12.15 Jing Wang (Sheffield Hallam University) - Photorealistic Synthetic Image Dataset for Fall Detection

12.45 Lunch Break

13.45 Zien Ma (Cardiff University) - Quantification of Metabolites in Magnetic Resonance Spectra with Deep Learning: Insights on Simulated and Real Data

14.15 Felipe Cadar Chamone (Universidade Federal de Minas Gerais) - A New Dataset for Evaluating Keypoint Correspondence Methods on Complex and Non-rigid Scenes

14.45 Coffee Break

15.15 Keynote Talk - Prof. Edmond Prakash (Research Centre for Creative Technologies, UCA)

16.00 Benoit Quentin Arthur Vallade (Amazon Prime Video) - Closing the Domain Gap Between Development and Production Environments

16.30 Closing thoughts and final discussion

17.00 Meeting Ends

Meeting Location

The meeting will take place at:

British Computer Society (BCS), 25 Copthall Avenue, London EC2R 7BP

Registration

We keep the cost of attending these events as low as possible to ensure no barriers from the whole computer vision community attending. The registration costs are as follows

Both Include Lunch and refreshments for the day

Please register via charitysuite on this link:    Register Here