| 2025 | WACV | LATTECLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts. | Anh-Quan Cao, Maximilian Jaritz, Matthieu Guillaumin, Raoul de Charette, Loris Bazzani |
| 2022 | CVPR | ABO: Dataset and Benchmarks for Real-World 3D Object Understanding. | Jasmine Collins, Shubham Goel, Kenan Deng, Achleshwar Luthra, Leon Xu, Erhan Gundogdu, Xi Zhang, Tomas F. Yago Vicente, Thomas Dideriksen, Himanshu Arora, Matthieu Guillaumin, Jitendra Malik |
| 2015 | CVPR | From categories to subcategories: Large-scale image classification with partial class label refinement. | Marko Ristin, Juergen Gall, Matthieu Guillaumin, Luc Van Gool |
| 2014 | ACCV | Non-maximum Suppression for Object Detection by Passing Messages Between Windows. | Rasmus Rothe, Matthieu Guillaumin, Luc Van Gool |
| 2014 | BMVC | Learning to Rank Histograms for Object Retrieval. | Danfeng Qin, Yuhua Chen, Matthieu Guillaumin, Luc Van Gool |
| 2014 | CVPR | Incremental Learning of NCM Forests for Large-Scale Image Classification. | Marko Ristin, Matthieu Guillaumin, Juergen Gall, Luc Van Gool |
| 2014 | ECCV | Food-101 - Mining Discriminative Components with Random Forests. | Lukas Bossard, Matthieu Guillaumin, Luc Van Gool |
| 2014 | ECCV | Closed-Form Approximate CRF Training for Scalable Image Segmentation. | Alexander Kolesnikov, Matthieu Guillaumin, Vittorio Ferrari, Christoph H. Lampert |
| 2014 | ECCV | Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations. | Santiago Manen, Junseok Kwon, Matthieu Guillaumin, Luc Van Gool |
| 2013 | CVPR | Fast Energy Minimization Using Learned State Filters. | Matthieu Guillaumin, Luc Van Gool, Vittorio Ferrari |
| 2013 | ICCV | Event Recognition in Photo Collections with a Stopwatch HMM. | Lukas Bossard, Matthieu Guillaumin, Luc Van Gool |
| 2013 | ICCV | Prime Object Proposals with Randomized Prim's Algorithm. | Santiago Manen, Matthieu Guillaumin, Luc Van Gool |
| 2012 | CVPR | Large-scale knowledge transfer for object localization in ImageNet. | Matthieu Guillaumin, Vittorio Ferrari |
| 2012 | ECCV | Segmentation Propagation in ImageNet. | Daniel Kttel, Matthieu Guillaumin, Vittorio Ferrari |
| 2012 | MMM | Combining Image-Level and Segment-Level Models for Automatic Annotation. | Daniel Kttel, Matthieu Guillaumin, Vittorio Ferrari |
| 2010 | CVPR | Multimodal semi-supervised learning for image classification. | Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid |
| 2010 | ECCV | Multiple Instance Metric Learning from Automatically Labeled Bags of Faces. | Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid |
| 2009 | ICCV | TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation. | Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid |
| 2009 | ICCV | Is that you? Metric learning approaches for face identification. | Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid |
| 2008 | CVPR | Automatic face naming with caption-based supervision. | Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid |