post by Matthew Yates (2018 cohort)
I am a final year Horizon CDT PhD student partnered with the Dstl. My PhD project is about the detection of deep learning-generated aerial images, with the final goal of improving current detection models.
For my study, I am looking for participants to take part in my short face-to-face study on detecting fake aerial images. We have used Generative Adversarial Networks (GANs) to create these.
I am looking for participants from all backgrounds, as well as those who have specific experience in dealing with either Earth Observation Data (e.g. aerial imagery, satellite images) or GAN-generated images.
Purpose: To capture gaze behaviour during the detection of GAN generated fake images from real aerial photos of rural and urban environments. Participant accuracy and eye movements will be recorded.
Who can participate? This is open to anyone who would like to take part, although the involvement of people with experience dealing with related image data (e.g. satellite images, GAN images) is of particular interest.
Commitment: The study should take between 20-40 mins to complete and takes place in Room B73 Computer Science Building Jubilee Campus
Reward: £10 amazon voucher for your participation
How to participate? Email me at email@example.com with dates/times that you are free to arrange a timeslot
For any additional information or queries please feel free to contact me,
Thanks for your time,
+44 (0) 747 386 1599 | firstname.lastname@example.org