Simone Foti
Postdoctoral Researcher at Imperial College London, PhD at University College London, and internship experience at Disney Research Studios and Adobe Research. My research interest lies at the intersection of geometric deep learning, computer graphics, and computer vision. My main goal is to improve 3D generative models to democratise the creation of 3D assets for applications in AR/VR, the metaverse, the movie and game production, and in plastic surgery. Through my research I strive to understand how to solve problems in non-Euclidean domains such as graphs and meshes and I am currently working on multiple projects ranging from shape and texture generation, latent disentanglement, mesh sampling, and 3D reconstruction.
HIGHLIGHT Publications
UV-free Texture Generation with Denoising and Geodesic Heat Diffusions
Simone Foti, Stefanos Zafeiriou, Tolga Birdal.
NeurIPS 2024
3D Generative Model Latent Disentanglement via Local Eigenprojection
Simone Foti, Bongjin Koo, Danail Stoyanov, Matthew J. Clarkson.
Computer Graphics Forum 2023
Latent Disentanglement in Mesh Variational Autoencoders Improves the Diagnosis of Craniofacial Syndromes and Aids Surgical Planning
Simone Foti, Alexander J. Rickart, Bongjin Koo, Eimear O’Sullivan, Lara S. van de Lande, Athanasios Papaioannou, Roman Khonsari, Danail Stoyanov, N. u. Owase Jeelani, Silvia Schievano, David J. Dunaway, Matthew J. Clarkson.
Computer Methods and Programs in Biomedicine 2024
3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces
Simone Foti, Bongjin Koo, Danail Stoyanov, Matthew J. Clarkson.
CVPR 2022 (oral)
Intraoperative Liver Surface Completion with Graph Convolutional VAE
Simone Foti, Bongjin Koo, Thomas Dowrick, João Ramalhinho, Moustafa Allam, Brian Davidson, Danail Stoyanov, Matthew J. Clarkson.
GRAIL-MICCAI 2020
OTHER Publications
Using A Disentangled Neural Network to Objectively Assess the Outcomes of Midfacial Surgery in Syndromic Craniosynostosis
Alexander J Rickart, Simone Foti, Lara S van de Lande, Connor Wagner, Silvia Schievano, Noor ul Owase Jeelani, Matthew J Clarkson, Juling Ong, Jordan W Swanson, Scott P Bartlett, Jesse A Taylor, David J Dunaway.
Plastic and Reconstructive Surgery 2024
SARAMIS: Simulation Assets for Robotic Assisted and Minimally Invasive Surgery
Nina Montana-Brown, Shaheer U. Saeed, Ahmed Abdulaal, Thomas Dowrick, Yakup Kilic, Sophie Wilkinson, Meghavi Mashar, Chloe He, Alkisti Stavropoulou, Emma L Thomson, Zachary Baum, Simone Foti, Brian Davidson, Yipeng Hu, Matthew J. Clarkson
NeurIPS (Datasets and Benchmarks) 2023
Real-Time Vessel Segmentation and Reconstruction for Virtual Fixtures for an Active Handheld Microneurosurgical Instrument
Aravind Venugopal, Sara Moccia, Simone Foti, Arpita Routray, Robert A. MacLachlan, Alessandro Perin, Leonardo S. Mattos, Alexander K. Yu, Jody Leonardo, Elena De Momi, Cameron N. Riviere
IJCARS 2022
Design and Integration of Electrical Bio-Impedance Sensing in Surgical Robotic Tools for Tissue Identification and Display
Zhuoqi Cheng, Diego Dall'Alba, Simone Foti, Andrea Mariani, Thibaud Jean Eudes Chupin, Darwin Gordon Caldwell, Giancarlo Ferrigno, Elena De Momi, Leonardo S Mattos, Paolo Fiorini.
Frontiers in Robotics and AI 2019
Toward Improving Safety in Neurosurgery with an Active Handheld Instrument
Sara Moccia, Simone Foti, Arpita Routray, Francesca Prudente, Alessandro Perin, Raymond F. Sekula, Leonardo S. Mattos, Jeffrey R. Balzer, Wendy Fellows-Mayle, Elena De Momi and Cameron N. Riviere.
Annals of Biomedical Engineering 2018
Advanced User Interface for Augmented Information Display on Endoscopic Surgical Images
Simone Foti, Andrea Mariani, Thibaud Chupin, Diego Dall’Alba, Zhuoqi Cheng, Leonardo Mattos, Darwin Caldwell, Paolo Fiorini, Elena De Momi, Giancarlo Ferrigno
CRAS 2018
FCNN-Based Segmentation of Kidney Vessels - Towards Constraints Definition for Safe Robot-Assisted Nephrectomy
Sara Moccia, Simone Foti, Silvia Maddalena Rossi, Ilaria Rota, Matteo Scotti, Simone Toffoli, Leonardo Mattos, Elena De Momi and Emanuele Frontoni.
CRAS 2018
PATENTS
Face reconstruction using a mesh convolutional network
Derek Bradley, Prashanth Chandran, Simone Foti, Paulo Fabiano Urnau Gotardo, Gaspard Zoss
U.S. Patent Application No. 17/697,774 [patent]
INVITED TALKS
Latent Disentanglement for the Generation of 3D Digital Humans and Plastic Surgery Applications.
RE WORK | Deep Learning London AI Summit 2022
PHD THESIS
Latent Disentanglement for the Analysis and Generation of Digital Human Shapes
UCL 2023 [pdf]