Look and Modify: Modification Networks for Image Captioning. - Fawaz Sammani; Mahmoud Elsayed (BMVC, 2019)

Show, Edit and Tell: A Framework for Editing Image Captions. - Fawaz Sammani; Luke Melas-Kyriazi (CVPR, 2020)

Encoding Rich Frequencies for Classification of Stroke Patients EEG Signals. - Fawaz Sammani; Kok Swee Sim; Shing Chiang Tan (IEEE Access, 2020)

NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks. - Fawaz Sammani; Tanmoy Mukherjee; Nikos Deligiannis (CVPR, 2022)

Visualizing and Understanding Self-Supervised Vision Learning. - Fawaz Sammani; Boris Joukovsky; Nikos Deligiannis (CoRR, 2022)

Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks. - Fawaz Sammani; Nikos Deligiannis (ICCV (Workshops), 2023)

Visualizing Invariant Features in Vision Models. - Fawaz Sammani; Boris Joukovsky; Nikos Deligiannis (DSP, 2023)

Model-Agnostic Visual Explanations via Approximate Bilinear Models. - Boris Joukovsky; Fawaz Sammani; Nikos Deligiannis (ICIP, 2023)

Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge. - Fawaz Sammani; Nikos Deligiannis (NeurIPS, 2024)

Interpreting and Analyzing CLIP's Zero-Shot Image Classification via Mutual Knowledge. - Fawaz Sammani; Nikos Deligiannis (CoRR, 2024)

Visualizing and Understanding Contrastive Learning. - Fawaz Sammani; Boris Joukovsky; Nikos Deligiannis (IEEE Trans. Image Process., 2024)

Zero-Shot Natural Language Explanations. - Fawaz Sammani; Nikos Deligiannis (ICLR, 2025)

Unlocking Open-Set Language Accessibility in Vision Models. - Fawaz Sammani; Jonas Fischer; Nikos Deligiannis (CoRR, 2025)