Andreas Goulas

I am currently a PhD Student at Queen Mary University of London and a Research Assistant at the Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH).

I graduated with a Diploma in Electrical and Computer Engineering from the Aristotle University of Thessaloniki. My research focuses on Video Understanding with Multimodal LLMs.

Email: agoulas at iti dot gr

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Publications

For an up-to-date list of publications, visit my Google Scholar profile.

  1. Sens-VisualNews: A Benchmark Dataset for Sensational Image Detection
    Andreas Goulas, Damianos Galanopoulos, Evlampios Apostolidis, Vasileios Mezaris
    ICIP 2026
    arXiv github
  2. VERGE in VBS 2026
    Nick Pantelidis, Eleni Kosmidou, Damianos Galanopoulos, Dimitris Georgalis, Stefanos Pasios, Konstantinos Apostolidis, Andreas Goulas, Maria Pegia, Georgios Tsionkis, Konstantinos Gkountakos, Grigorios Kouvrakis, Anastasia Moumtizdou, Ilias Gialampoukidis, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris
    MMM 2026
    paper
  3. MLLM Frame Subset Ensembling for Audio-Visual Video QA and MLLM-based Reranking for Ad-hoc Video Search in TRECVID 2025
    Andreas Goulas, Damianos Galanopoulos, Ioannis Patras, Vasileios Mezaris
    TRECVID 2025
    Ranked #1 in the VQA Answer Generation task.
    pdf
  4. Cross-modal Image Recommendation for News Articles by Multimodal Foundation Models-based Retrieval-Reranking
    Damianos Galanopoulos, Andreas Goulas, Vasileios Mezaris
    MediaEval 2025
    pdf github
  5. VidCtx: Context-aware Video Question Answering with Image Models
    Andreas Goulas, Vasileios Mezaris, Ioannis Patras
    ICME 2025
    arXiv github
  6. An LLM Framework for Long-form Video Retrieval and Audio-Visual Question Answering Using Qwen2/2.5
    Damianos Galanopoulos, Andreas Goulas, Antonios Leventakis, Ioannis Patras, Vasileios Mezaris
    CVPR Workshops 2025
    pdf
  7. A Methodology for Enabling NLP Capabilities on Edge and Low-Resource Devices
    Andreas Goulas, Nikolaos Malamas, Andreas L. Symeonidis
    NLDB 2022
    paper github
  8. ObjectGraphs: Using Objects and a Graph Convolutional Network for the Bottom-Up Recognition and Explanation of Events in Video
    Nikolaos Gkalelis, Andreas Goulas, Damianos Galanopoulos, Vasileios Mezaris
    CVPR Workshops 2021
    pdf github