5 papers
On Test-Time Scaling for Vision-Language Models
Fawaz Sammani, Tzoulio Chamiti, Nikos Deligiannis
Test-time scaling is a paradigm where large models use additional compute at inference to achieve better performance, without changing model weights. While it has been widely studi…
GATA2Floor: Graph attention for floor counting in street-view facades
Ngoc Tan Le, Tzoulio Chamiti, Eirini Papagiannopoulou +1
Automated analysis of building facades from street-level imagery has great potential for urban analytics, energy assessment, and emergency planning. However, it requires reasoning…
CLIP-Free, Label Free, Unsupervised Concept Bottleneck Models
Fawaz Sammani, Jonas Fischer, Nikos Deligiannis
Concept Bottleneck Models (CBMs) map dense feature representations into human-interpretable concepts which are then combined linearly to make a prediction. However, modern CBMs rel…
Temporal Concept Dynamics in Diffusion Models via Prompt-Conditioned Interventions
Ada Gorgun, Fawaz Sammani, Nikos Deligiannis +2
Diffusion models are usually evaluated by their final outputs, gradually denoising random noise into meaningful images. Yet, generation unfolds along a trajectory, and analyzing th…
Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge
Fawaz Sammani, Nikos Deligiannis
Contrastive Language-Image Pretraining (CLIP) performs zero-shot image classification by mapping images and textual class representation into a shared embedding space, then retriev…