activity
20202026
most citedNLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks

4 citations · 12 across the 13 of their papers we have counts for

collaborators

17 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

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…

cs.LG2023

Learned layered coding for Successive Refinement in the Wyner-Ziv Problem

Boris Joukovsky, Brent De Weerdt, Nikos Deligiannis

We propose a data-driven approach to explicitly learn the progressive encoding of a continuous source, which is successively decoded with increasing levels of quality and with the…