On optimal settings of classification tree ensembles for medical decision support. - Mateusz Budnik; Bartosz Krawczyk (Health Informatics J., 2013)

Automatic propagation of manual annotations for multimodal person identification in TV shows. - Mateusz Budnik; Johann Poignant; Laurent Besacier; Georges Quénot (CBMI, 2014)

Collaborative Annotation of Multimedia Resources. - Pierrick Bruneau; Mickaël Stefas; Mateusz Budnik; Johann Poignant; Hervé Bredin; Thomas Tamisier; Benoît Otjacques (CDVE, 2014)

Active selection with label propagation for minimizing human effort in speaker annotation of TV shows. - Mateusz Budnik; Johann Poignant; Laurent Besacier; Georges Quénot (SLAM@INTERSPEECH, 2014)

IRIM at TRECVID 2014: Semantic Indexing and Instance Search. - Nicolas Ballas; Benjamin Labbé; Hervé Le Borgne; Philippe Gosselin; David Picard; Miriam Redi; Bernard Mérialdo; Boris Mansencal; Jenny Benois-Pineau; Stéphane Ayache; Abdelkader Hamadi; Bahjat Safadi; et al. (TRECVID, 2014)

LIG at TRECVid 2014: Semantic Indexing. - Bahjat Safadi; Nadia Derbas; Abdelkader Hamadi; Mateusz Budnik; Philippe Mulhem; Georges Quénot (TRECVID, 2014)

Learned features versus engineered features for semantic video indexing. - Mateusz Budnik; Efrain-Leonardo Gutierrez-Gomez; Bahjat Safadi; Georges Quénot (CBMI, 2015)

Collaborative annotation for person identification in TV shows. - Mateusz Budnik; Laurent Besacier; Johann Poignant; Hervé Bredin; Claude Barras; Mickaël Stefas; Pierrick Bruneau; Thomas Tamisier (INTERSPEECH, 2015)

LIG at MediaEval 2015 Multimodal Person Discovery in Broadcast TV Task. - Mateusz Budnik; Bahjat Safadi; Laurent Besacier; Georges Quénot; Ali Khodabakhsh 001; Cenk Demiroglu (MediaEval, 2015)

IRIM at TRECVID 2015: Semantic Indexing. - Hervé Le Borgne; Philippe Henri Gosselin; David Picard; Miriam Redi; Bernard Mérialdo; Boris Mansencal; Jenny Benois-Pineau; Stéphane Ayache; Abdelkader Hamadi; Bahjat Safadi; Nadia Derbas; Mateusz Budnik; et al. (TRECVID, 2015)

LIG at TRECVid 2015: Semantic Indexing. - Bahjat Safadi; Nadia Derbas; Abdelkader Hamadi; Mateusz Budnik; Philippe Mulhem; Georges Quénot (TRECVID, 2015)

MRIM-LIG at ImageCLEF 2016 Scalable Concept Image Annotation Task. - Maxime Portaz; Mateusz Budnik; Philippe Mulhem; Johann Poignant (CLEF (Working Notes), 2016)

OCR-aided person annotation and label propagation for speaker modeling in TV shows. - Mateusz Budnik; Laurent Besacier; Ali Khodabakhsh 001; Cenk Demiroglu (ICASSP, 2016)

The CAMOMILE Collaborative Annotation Platform for Multi-modal, Multi-lingual and Multi-media Documents. - Johann Poignant; Mateusz Budnik; Hervé Bredin; Claude Barras; Mickaël Stefas; Pierrick Bruneau; Gilles Adda; Laurent Besacier; Hazim Kemal Ekenel; Gil Francopoulo; Javier Hernando; Joseph Mariani; et al. (LREC, 2016)

Deep complementary features for speaker identification in TV broadcast data. - Mateusz Budnik; Ali Khodabakhsh 001; Laurent Besacier; Cenk Demiroglu (Odyssey, 2016)

Construction et évaluation d'un corpus pour la recherche d'instances d'images muséales. - Maxime Portaz; Johann Poignant; Mateusz Budnik; Philippe Mulhem; Jean-Pierre Chevallet; Lorraine Goeuriot (CORIA, 2017)

Immersive browsing in an image sphere. - Gerald Schaefer; Mateusz Budnik; Bartosz Krawczyk (IMCOM, 2017)

IRISA at TrecVid 2017: Beyond Crossmodal and Multimodal Models for Video Hyperlinking. - Mikail Demirdelen; Mateusz Budnik; Gabriel Sargent; Rémi Bois; Guillaume Gravier (TRECVID, 2017)

Learned features versus engineered features for multimedia indexing. - Mateusz Budnik; Efrain-Leonardo Gutierrez-Gomez; Bahjat Safadi; Denis Pellerin; Georges Quénot (Multim. Tools Appl., 2017)

Active and deep learning for multimedia. (Apprentissage actif et profond pour le multimédia). - Mateusz Budnik (2017)

A Study on Multimodal Video Hyperlinking with Visual Aggregation. - Mateusz Budnik; Mikail Demirdelen; Guillaume Gravier (ICME, 2018)

Rethinking deep active learning: Using unlabeled data at model training. - Oriane Siméoni; Mateusz Budnik; Yannis Avrithis; Guillaume Gravier (ICPR, 2020)

Asymmetric Metric Learning for Knowledge Transfer. - Mateusz Budnik; Yannis Avrithis (CVPR, 2021)