About me

I am a postdoctoral researcher at the Artificial Intelligence and Translational Imaging (ATI) Lab, School of Medicine, University of Crete, working under the supervision of Prof. Michail Klontzas and in collaboration with Dr. Eleftherios Tzanis. My research focuses on agentic AI for medical imaging, exploring how language models and multi-agent systems can integrate medical imaging tools to support clinical workflows, with an emphasis on reliability, interpretability, and patient privacy.

I completed my PhD at the PSI Lab at KU Leuven, Belgium, supervised by Prof. Tinne Tuytelaars and Dr. Minye Wu. My doctoral research focused on neural rendering and inverse graphics, with an emphasis on physically grounded reconstruction of glossy and specular materials.

Before my PhD, I worked as an Industry 4.0 consultant at Kapernikov in Brussels and as a research assistant at ITI-CERTH in Thessaloniki, contributing to the Horizon 2020 BADGER project on autonomous robotic systems for subsurface exploration. Earlier, I worked on autonomous search-and-rescue robotics with the Pandora Robotics Team at Aristotle University of Thessaloniki. I hold a Diploma (integrated Bachelor’s and Master’s) in Electrical and Computer Engineering from Aristotle University of Thessaloniki and an Advanced Master of Artificial Intelligence from KU Leuven.

Projects

SpecGloss-GS
Spec-Gloss Surfels and Normal-Diffuse Priors for Relightable Glossy Objects
SpecGloss-GS effectively decouples geometry, materials, and illumination for more accurate relighting and scene editing of glossy objects.
Georgios Kouros, Minye Wu, Tinne Tuytelaars
WACV 2026 (oral)
RGS-DR
RGS-DR: Deferred Reflections and Residual Shading in 2D Gaussian Splatting
RGS-DR uses 2DGS with deferred shading, split-sum IBL plus an image-space residual to sharpen speculars and enable relighting and scene editing.
Georgios Kouros, Minye Wu, Tinne Tuytelaars
3DV 2026
TeTriRF
TeTriRF: Temporal Tri-Plane Radiance Fields for Efficient Free-Viewpoint Video
TeTriRF compresses free-viewpoint dynamic scenes by codec-friendly tri-plane voxel representations.
Minye Wu, Zehao Wang, Georgios Kouros, Tinne Tuytelaars
CVPR 2024
UnveilingAmbiguity
Unveiling the Ambiguity in Neural Inverse Rendering: A Parameter Compensation Analysis
A study of the inherent ambiguity of neural inverse rendering and potential research directions.
Georgios Kouros, Minye Wu, Sushruth Nagesh, Xianling Zhang, Tinne Tuytelaars
CVPR 2024 NRI Workshop
Ref-DVGO
Ref-DVGO: Reflection-Aware Direct Voxel Grid Optimization for an Improved Quality-Efficiency Trade-Off in Reflective Scene Reconstruction
Improves the quality-efficiency trade-off for neural rendering of glossy objects by combining an efficient voxelized representation with a reflection direction reparameterization.
Georgios Kouros, Minye Wu, Shubham Shrivastava, Sushruth Nagesh, Punarjay Chakravarty, Tinne Tuytelaars
ICCV 2023 TRICKY Workshop
contrastive-pose-retrieval
Category-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation
Category-level pose estimation trained with contrastive RGB-normal features and augmented with occlusion and bounding box augmentation for robustness against occluders and bounding box noise.
Georgios Kouros, Shubham Shrivastava, Cédric Picron, Sushruth Nagesh, Punarjay Chakravarty, Tinne Tuytelaars
BMVC 2022

A full list of my publications can be found in my google scholar profile.