Interpretable Contextual Team-aware Item Recommendation: Application in Multiplayer Online Battle Arena Games. - Andrés Villa; Vladimir Araujo; Francisca Cattan; Denis Parra (RecSys, 2020)

TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification. - Andrés Villa; Juan-Manuel Pérez-Rúa; Vladimir Araujo; Juan Carlos Niebles; Victor Escorcia; Alvaro Soto (BMVC, 2021)

Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations. - Vladimir Araujo; Andrés Villa; Marcelo Mendoza; Marie-Francine Moens; Alvaro Soto (EMNLP (1), 2021)

vCLIMB: A Novel Video Class Incremental Learning Benchmark. - Andrés Villa; Kumail Alhamoud; Victor Escorcia; Fabian Caba Heilbron; Juan León Alcázar; Bernard Ghanem (CVPR, 2022)

Hierarchical Transformers for Group-Aware Sequential Recommendation: Application in MOBA Games. - Vladimir Araujo; Helem Salinas; Alvaro Labarca; Andrés Villa; Denis Parra (UMAP (Adjunct Publication), 2022)

PIVOT: Prompting for Video Continual Learning. - Andrés Villa; Juan León Alcázar; Motasem Alfarra; Kumail Alhamoud; Julio Hurtado; Fabian Caba Heilbron; Alvaro Soto; Bernard Ghanem (CVPR, 2023)

Beyond the Premier: Assessing Action Spotting Transfer Capability Across Diverse Domains. - Bruno Cabado; Anthony Cioppa; Silvio Giancola; Andrés Villa; Bertha Guijarro-Berdiñas; Emilio J. Padrón 001; Bernard Ghanem; Marc Van Droogenbroeck (CVPR Workshops, 2024)

Towards Faster and More Compact Foundation Models for Molecular Property Prediction. - Yasir Ghunaim; Andrés Villa; Gergo Ignacz; Gyorgy Szekely; Motasem Alfarra; Bernard Ghanem (CVPR Workshops, 2025)

Behind the Magic, MERLIM: Multi-modal Evaluation Benchmark for Large Image-Language Models. - Andrés Villa; Juan León Alcázar; Alvaro Soto; Bernard Ghanem (CVPR Workshops, 2025)

EAGLE: Enhanced Visual Grounding Minimizes Hallucinations in Instructional Multimodal Models. - Andrés Villa; Juan León Alcázar; Motasem Alfarra; Vladimir Araujo; Alvaro Soto; Bernard Ghanem (CoRR, 2025)

MoDA: Modulation Adapter for Fine-Grained Visual Grounding in Instructional MLLMs. - Wayner Barrios; Andrés Villa; Juan León Alcázar; SouYoung Jin; Bernard Ghanem (CoRR, 2025)