Automatic face naming with caption-based supervision. - Matthieu Guillaumin; Thomas Mensink; Jakob Verbeek; Cordelia Schmid (CVPR, 2008)

INRIA-LEAR's Participation in ImageCLEF 2009. - Matthijs Douze; Matthieu Guillaumin; Thomas Mensink; Cordelia Schmid; Jakob Verbeek (CLEF (Working Notes), 2009)

TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation. - Matthieu Guillaumin; Thomas Mensink; Jakob Verbeek; Cordelia Schmid (ICCV, 2009)

Is that you? Metric learning approaches for face identification. - Matthieu Guillaumin; Jakob Verbeek; Cordelia Schmid (ICCV, 2009)

Multimodal semi-supervised learning for image classification. - Matthieu Guillaumin; Jakob Verbeek; Cordelia Schmid (CVPR, 2010)

Multiple Instance Metric Learning from Automatically Labeled Bags of Faces. - Matthieu Guillaumin; Jakob Verbeek; Cordelia Schmid (ECCV (1), 2010)

Image annotation with tagprop on the MIRFLICKR set. - Jakob Verbeek; Matthieu Guillaumin; Thomas Mensink; Cordelia Schmid (Multimedia Information Retrieval, 2010)

Exploiting Multimodal Data for Image Understanding. (Données multimodales pour l'analyse d'image). - Matthieu Guillaumin (2010)

Large-scale knowledge transfer for object localization in ImageNet. - Matthieu Guillaumin; Vittorio Ferrari (CVPR, 2012)

Segmentation Propagation in ImageNet. - Daniel Küttel; Matthieu Guillaumin; Vittorio Ferrari (ECCV (7), 2012)

Combining Image-Level and Segment-Level Models for Automatic Annotation. - Daniel Küttel; Matthieu Guillaumin; Vittorio Ferrari (MMM, 2012)

Face Recognition from Caption-Based Supervision. - Matthieu Guillaumin; Thomas Mensink; Jakob Verbeek; Cordelia Schmid (Int. J. Comput. Vis., 2012)

Fast Energy Minimization Using Learned State Filters. - Matthieu Guillaumin; Luc Van Gool; Vittorio Ferrari (CVPR, 2013)

Event Recognition in Photo Collections with a Stopwatch HMM. - Lukas Bossard; Matthieu Guillaumin; Luc Van Gool (ICCV, 2013)

Prime Object Proposals with Randomized Prim's Algorithm. - Santiago Manen; Matthieu Guillaumin; Luc Van Gool (ICCV, 2013)

Non-maximum Suppression for Object Detection by Passing Messages Between Windows. - Rasmus Rothe; Matthieu Guillaumin; Luc Van Gool (ACCV (1), 2014)

Learning to Rank Histograms for Object Retrieval. - Danfeng Qin; Yuhua Chen; Matthieu Guillaumin; Luc Van Gool (BMVC, 2014)

Incremental Learning of NCM Forests for Large-Scale Image Classification. - Marko Ristin; Matthieu Guillaumin; Juergen Gall; Luc Van Gool (CVPR, 2014)

Food-101 - Mining Discriminative Components with Random Forests. - Lukas Bossard; Matthieu Guillaumin; Luc Van Gool (ECCV (6), 2014)

Closed-Form Approximate CRF Training for Scalable Image Segmentation. - Alexander Kolesnikov 003; Matthieu Guillaumin; Vittorio Ferrari; Christoph H. Lampert (ECCV (3), 2014)

Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations. - Santiago Manen; Junseok Kwon; Matthieu Guillaumin; Luc Van Gool (ECCV (5), 2014)

Quantized Kernel Learning for Feature Matching. - Danfeng Qin; Xuanli Chen; Matthieu Guillaumin; Luc Van Gool (NIPS, 2014)

Closed-Form Training of Conditional Random Fields for Large Scale Image Segmentation. - Alexander Kolesnikov 003; Matthieu Guillaumin; Vittorio Ferrari; Christoph H. Lampert (CoRR, 2014)

ImageNet Auto-Annotation with Segmentation Propagation. - Matthieu Guillaumin; Daniel Küttel; Vittorio Ferrari (Int. J. Comput. Vis., 2014)

From categories to subcategories: Large-scale image classification with partial class label refinement. - Marko Ristin; Juergen Gall; Matthieu Guillaumin; Luc Van Gool (CVPR, 2015)

Incremental Learning of Random Forests for Large-Scale Image Classification. - Marko Ristin; Matthieu Guillaumin; Juergen Gall; Luc Van Gool (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

ABO: Dataset and Benchmarks for Real-World 3D Object Understanding. - Jasmine Collins; Shubham Goel 001; Achleshwar Luthra; Leon Xu; Kenan Deng 001; Xi Zhang; Tomas F. Yago Vicente; Himanshu Arora; Thomas Dideriksen; Matthieu Guillaumin; Jitendra Malik (CoRR, 2021)

ABO: Dataset and Benchmarks for Real-World 3D Object Understanding. - Jasmine Collins; Shubham Goel 001; Kenan Deng 001; Achleshwar Luthra; Leon Xu; Erhan Gundogdu; Xi Zhang; Tomas F. Yago Vicente; Thomas Dideriksen; Himanshu Arora; Matthieu Guillaumin; Jitendra Malik (CVPR, 2022)

LATTECLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts. - Anh-Quan Cao; Maximilian Jaritz; Matthieu Guillaumin; Raoul de Charette; Loris Bazzani (WACV, 2025)

UniCoRN: Unified Commented Retrieval Network with LMMs. - Maximilian Jaritz; Matthieu Guillaumin; Sabine Sternig; Loris Bazzani (CoRR, 2025)

ToFu: Visual Tokens Reduction via Fusion for Multi-modal, Multi-patch, Multi-image Task. - Vittorio Pippi; Matthieu Guillaumin; Silvia Cascianelli; Rita Cucchiara; Maximilian Jaritz; Loris Bazzani (CoRR, 2025)