Nikos Deligiannis is a Professor at the Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), the holder of the 2024–2025 Francqui Research Professorship on Trustworthy AI at VUB, and a Principal Investigator at imec, Belgium.
Research Areas
- Interpretable & Explainable AI — Designing AI models that are transparent, interpretable by design, and trustworthy — with a 2024 ERC Consolidator Grant on XAI for autonomous vehicles.
- Multidimensional Signal Processing — Multiterminal compression and signal processing methods for distributed sensing and communication systems.
- Computer Vision — Visual computing with deep learning for automotive, surveillance, and non-destructive testing applications.
- Distributed & Federated AI — Privacy-preserving distributed and federated learning for automotive and healthcare applications.
Publications
- Neural Rate-Adaptive LDPC Decoding for the Slepian-Wolf Problem — IEEE Open J. Signal Process., 2026
- GF-LRP: A Method for Explaining Predictions Made by Variational Graph Auto-Encoders — IEEE Trans. Emerg. Topics Comput. Intell., 2025
- Deep Unfolding Transformers for Sparse Recovery of Video — IEEE Trans. Signal Process., 2024
- Visualizing and Understanding Contrastive Learning — IEEE Trans. Image Process., 2023
- Explaining Graph Neural Networks with Topology-Aware Node Selection: Application in Air Quality Inference — IEEE Trans. Signal Inf. Process. over Netw., 2022
- GATA2Floor: Graph Attention for Floor Counting in Street-View Facades — Proc. IEEE Int. Conf. Image Process. (ICIP '26), 2026
- When Negation Is a Geometry Problem in Vision-Language Models — Proc. CVPR Workshops (Multimodal Algorithmic Reasoning '26), 2026
- Temporal Concept Dynamics in Diffusion Models via Prompt-Conditioned Interventions — Proc. Int. Conf. Learn. Representations (ICLR '26), 2026
- CLIP-Free, Label Free, Unsupervised Concept Bottleneck Models — Proc. IEEE/CVF Conf. Comput. Vision Pattern Recognit. Findings (CVPR '26), 2026
- Power-Efficient Spiking Conversion of Deep Unfolded Transformers — Proc. IEEE Int. Symp. Circuits Syst. (ISCAS '26), 2026
- ReferGPT: Towards Zero-Shot Referring Multi-Object Tracking — Proc. CVPR 2025 Workshop on Distillation of Foundation Models for Autonomous Driving, 2025
- Zero-Shot Natural Language Explanations — Proc. Int. Conf. Learn. Representations (ICLR '25), 2025
- Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge — Proc. Conf. Neural Inf. Process. Syst. (NeurIPS '24), 2024
- Holistic Representation Learning for Multitask Trajectory Anomaly Detection — Proc. IEEE/CVF Winter Conf. Appl. Comput. Vision (WACV '24), 2024
- Physics-Guided Graph Convolutional Deep Equilibrium Network for Environmental Data — Proc. 32nd European Signal Process. Conf. (EUSIPCO '24), 2024
- Physics-Guided Variational Graph Autoencoder for Air Quality Inference — Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP '24), 2024
- Learned Layered Coding for Successive Refinement in the Wyner-Ziv Problem — Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP '24), 2024
- Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks — Proc. ICCV Workshops '23, 2023
- Model-Agnostic Visual Explanations via Approximate Bilinear Models — Proc. IEEE Int. Conf. Image Process. (ICIP '23), 2023
- Designing Transformer Networks for Sparse Recovery of Sequential Data Using Deep Unfolding — Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP '23), 2023
- NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks — Proc. IEEE/CVF Conf. Comput. Vision Pattern Recognit. (CVPR '22), 2022
- Conditional Variational Graph Autoencoder for Air Pollution Forecasting — Proc. 30th European Signal Process. Conf. (EUSIPCO '22), 2022
- Temporal Collaborative Filtering with Graph Convolutional Neural Networks — Proc. 25th Int. Conf. Pattern Recognit. (ICPR '20), 2020
News
- 2024 — Received an ERC Consolidator Grant for research on interpretable/explainable AI and multiterminal compression for autonomous vehicles.
- 2024 — Awarded the Francqui Research Professorship on Trustworthy AI at VUB.