Welcome!! 👋 I am a Postdoctoral Researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) of the University of Luxembourg, focusing on 3D Computer Vision and it’s applications for Computer-Aided Design (CAD).
I received my PhD in Computer Vision at the University of Nottingham under the supervision of Dr. Yorgos Tzimiropoulos. I was also a Research Intern at Samsung AI Cambridge (SAIC) and later a Senior Machine Learning Engineer for Taboola and Deeplab.
In this website you can find more info about me, check publications and recent news. You can also browse through my photography here 📸 !!
Currently my focus in on 3D vision and it’s application towards accelerating parametric Computer-Aided Design (CAD). I am particularly interested in automated reverse engineering of 2D/3D CAD models, effective recovery of construction history and capturing of design intent.
During my PhD, I concentrated on learning with minimal manual supervision through self-supervised and semi-supervised learning, specifically for the tasks of landmark detection and human pose estimation. Later, I also looked into deep learning based recommender systems and the problem of click-through-rate (CTR) prediction.
|Oct 01, 2023||Great news to share: Our paper on Interpretable Visual Question Answering Via Reasoning Supervision will be presented on ICIP 2023 as a lecture 🎉. Great work from Maria Parelli 🎉. Thanks to all authors, Markos Diomataris and Vassilis Pitsikalis and Deeplab for a great collaboration.|
|Sep 10, 2023||Happy to share that our paper entitled SHARP 2023 Challenge: Solving CAD History and pArameters Recovery from Point clouds and 3D scans. Overview, Datasets, Metrics, and Baselines will be presented at the SHARP2023 ICCV Workshop.|
|Jun 04, 2023||The 4th edition of the SHARP Challenge, organized in conjunction with ICCV 2023 is now officially announced and registrations are open. Join the challenge here! Total prize of 🔸 8k€ to win sponsored by Artec 3D 🏆|
|Apr 01, 2023||I have now started my new position as Postdoctoral Researcher at the SnT, Interdisciplinary Centre for Security, Reliability and Trust of the University of Luxembourg.|
|Jan 04, 2023||Our paper From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark Discovery has been accepted for publication at IEEE Transactions on Pattern Analysis and Machine Intelligence. The paper extends our NeurIPS 2020 work on unsupervised landmark discovery both conceptually and experimentally!|
Selected Publications [View All]
TPAM2023From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark DiscoveryIEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
NeurIPS2020Neural Information Processing Systems, 2020