I am currently a Senior Researcher in the Computing Research Group at Fujitsu Research of Europe. I am interested in multimodal representation learning and explainability with applications in healthcare domain.

In 2019, I received a PhD from the University of Surrey supervised by Prof. John Collomosse. My PhD introduced novel techniques to learn a joint embedding of images and sketches to allow efficient image search using free-hand sketches as the queries. During this time, I undertook an internship at the University of Sao Paulo, Institute of Mathematics and Computer Sciences, supervised under Prof. Moacir Ponti. My PhD viva was examined under Prof. Arnold Smeulders and Dr. Simon Hadfield.

In 2014, I obtained a BEng (Hons) degree in Electronic Engineering (first class) at the University of Surrey during which I spent a professional training year at Sony Digital Cinema.

6/2024 -- Two papers, ProMark: Proactive Diffusion Watermarking for Causal Attribution and PARASOL: Parametric Style Control for Diffusion Image Synthesis have been accepted at CVPR 2024.

2/2024 -- Our paper, VIXEN: Visual Text Comparison Network for Image Difference Captioning has been accepted at AAAI 2024.

7/2023 -- Our paper, VADER: Video Alignment Differencing and Retrieval has been accepted at ICCV 2023.

6/2023 -- Our paper, RoSteALS: Robust Steganography using Autoencoder Latent Space has been published at CVPR WMF 2023. Play with our demo here.

8/2022 -- two papers, RepMix: Representation Mixing for Robust Attribution of Synthesized Images and CoGS: Controllable Generation and Search from Sketch and Style, has been accepted at ECCV 2022.

6/2022 -- our paper titled ARIA: Adversarially Robust Image Attribution for Content Provenance has been accepted at CVPR 2022 Workshop on Media Forensics.