Publications

Note: the archived version of some publications may only become publicly accessible after the publisher's embargo period has ended.

2026

[ J ] Neural Rate-Adaptive LDPC Decoding for the Slepian-Wolf Problem
Brent De Weerdt and Nikos Deligiannis
IEEE Open J. Signal Process.
Paper Code
[ C ] GATA2Floor: Graph Attention for Floor Counting in Street-View Facades
Ngoc Tan Le, Tzoulio Chamiti, Eirini Papagiannopoulou, and Nikos Deligiannis
Proc. IEEE Int. Conf. Image Process. (ICIP '26)
Paper Code Project
[ C A* ] When Negation Is a Geometry Problem in Vision-Language Models
Fawaz Sammani, Tzoulio Chamiti, Paul Gavrikov, and Nikos Deligiannis
Proc. CVPR Workshops (Multimodal Algorithmic Reasoning '26)
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[ C A* ] Temporal Concept Dynamics in Diffusion Models via Prompt-Conditioned Interventions
Ada Gorgun*, Fawaz Sammani*, Nikos Deligiannis, Bernt Schiele, and Jonas Fischer
Proc. Int. Conf. Learn. Representations (ICLR '26)
Paper Code
[ C A* ] CLIP-Free, Label Free, Unsupervised Concept Bottleneck Models
Fawaz Sammani, Jonas Fischer, and Nikos Deligiannis
Proc. IEEE/CVF Conf. Comput. Vision Pattern Recognit. Findings (CVPR '26)
Paper Code
[ C ] Power-Efficient Spiking Conversion of Deep Unfolded Transformers
A. Sadaqa, Brent De Weerdt, R. Chen, Nikos Deligiannis, and B. da Silva
Proc. IEEE Int. Symp. Circuits Syst. (ISCAS '26)
Paper Code

2025

[ J ] GF-LRP: A Method for Explaining Predictions Made by Variational Graph Auto-Encoders
Esther Rodrigo Bonet and Nikos Deligiannis
IEEE Trans. Emerg. Topics Comput. Intell.
Paper Code
[ C A* ] ReferGPT: Towards Zero-Shot Referring Multi-Object Tracking
Tzoulio Chamiti, Leandro Di Bella, Adrian Munteanu, and Nikos Deligiannis
Proc. CVPR 2025 Workshop on Distillation of Foundation Models for Autonomous Driving
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[ C A* ] Zero-Shot Natural Language Explanations
Fawaz Sammani and Nikos Deligiannis
Proc. Int. Conf. Learn. Representations (ICLR '25)
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2024

[ J ] Deep Unfolding Transformers for Sparse Recovery of Video
Brent De Weerdt, Yonina C. Eldar, and Nikos Deligiannis
IEEE Trans. Signal Process.
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[ C A* ] Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge
Fawaz Sammani and Nikos Deligiannis
Proc. Conf. Neural Inf. Process. Syst. (NeurIPS '24)
Paper Code
[ C A ] Holistic Representation Learning for Multitask Trajectory Anomaly Detection
Alexandros Stergiou, Brent De Weerdt, and Nikos Deligiannis
Proc. IEEE/CVF Winter Conf. Appl. Comput. Vision (WACV '24)
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[ C ] Physics-Guided Graph Convolutional Deep Equilibrium Network for Environmental Data
Esther Rodrigo Bonet and Nikos Deligiannis
Proc. 32nd European Signal Process. Conf. (EUSIPCO '24)
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[ C ] Physics-Guided Variational Graph Autoencoder for Air Quality Inference
Esther Rodrigo Bonet and Nikos Deligiannis
Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP '24)
Paper Code
[ C ] Learned Layered Coding for Successive Refinement in the Wyner-Ziv Problem
Boris Joukovsky, Brent De Weerdt, and Nikos Deligiannis
Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP '24)
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2023

[ J ] Visualizing and Understanding Contrastive Learning
Fawaz Sammani, Boris Joukovsky, and Nikos Deligiannis
IEEE Trans. Image Process.
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[ C A* ] Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks
Fawaz Sammani and Nikos Deligiannis
Proc. ICCV Workshops '23
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[ C ] Model-Agnostic Visual Explanations via Approximate Bilinear Models
Boris Joukovsky, Fawaz Sammani, and Nikos Deligiannis
Proc. IEEE Int. Conf. Image Process. (ICIP '23)
Paper Code
[ C ] Designing Transformer Networks for Sparse Recovery of Sequential Data Using Deep Unfolding
Brent De Weerdt, Yonina C. Eldar, and Nikos Deligiannis
Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP '23)
Paper Code

2022

[ J ] Explaining Graph Neural Networks with Topology-Aware Node Selection: Application in Air Quality Inference
Esther Rodrigo Bonet, Tien Huu Do, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, and Nikos Deligiannis
IEEE Trans. Signal Inf. Process. over Netw.
Paper Code
[ C A* ] NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks
Fawaz Sammani, Tanmoy Mukherjee, and Nikos Deligiannis
Proc. IEEE/CVF Conf. Comput. Vision Pattern Recognit. (CVPR '22)
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[ C ] Conditional Variational Graph Autoencoder for Air Pollution Forecasting
Esther Rodrigo Bonet, Tien Huu Do, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, and Nikos Deligiannis
Proc. 30th European Signal Process. Conf. (EUSIPCO '22)
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2020

[ C ] Temporal Collaborative Filtering with Graph Convolutional Neural Networks
Esther Rodrigo Bonet, Duc Minh Nguyen, and Nikos Deligiannis
Proc. 25th Int. Conf. Pattern Recognit. (ICPR '20)
Paper Code