Matthieu Guillaumin

发表

Event Recognition in Photo Collections with a Stopwatch HMM

Matthieu Guillaumin, Luc Van Gool, Lukas Bossard, 2013, 2013 IEEE International Conference on Computer Vision.

Is that you? Metric learning approaches for face identification

Cordelia Schmid, Matthieu Guillaumin, Jakob J. Verbeek, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Image annotation with tagprop on the MIRFLICKR set

Cordelia Schmid, Matthieu Guillaumin, Thomas Mensink, 2010, MIR '10.

New Results - Semi-supervised learning and structuring of visual models

Cordelia Schmid, Hakan Cevikalp, Matthieu Guillaumin, 2008 .

Face recognition from caption-based supervision

Cordelia Schmid, Matthieu Guillaumin, Thomas Mensink, 2010 .

Closed-Form Approximate CRF Training for Scalable Image Segmentation

Matthieu Guillaumin, Christoph H. Lampert, Alexander Kolesnikov, 2014, ECCV.

ImageNet Auto-Annotation with Segmentation Propagation

Matthieu Guillaumin, Vittorio Ferrari, Daniel Küttel, 2014, International Journal of Computer Vision.

New Results - Learning and structuring of visual models

Cordelia Schmid, Matthieu Guillaumin, Gabriela Csurka, 2010 .

New Results - Statistical modeling and machine learning for image analysis

Cordelia Schmid, Hakan Cevikalp, Matthieu Guillaumin, 2007 .

Multiple Instance Metric Learning from Automatically Labeled Bags of Faces

Cordelia Schmid, Matthieu Guillaumin, Jakob J. Verbeek, 2010, ECCV.

Large-scale knowledge transfer for object localization in ImageNet

Matthieu Guillaumin, Vittorio Ferrari, V. Ferrari, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Learning and Recognition in Vision

Cordelia Schmid, Christophe Damerval, Joost van de Weijer, 2006 .

Learning to Rank Histograms for Object Retrieval

Matthieu Guillaumin, Luc Van Gool, Yuhua Chen, 2014, BMVC.

INRIA-LEAR's Participation in ImageCLEF 2009

Cordelia Schmid, Matthieu Guillaumin, Matthijs Douze, 2009, CLEF.

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

Matthieu Guillaumin, M. Guillaumin, 2010 .

Exploiting Multimodal Data for Image Understanding

Matthieu Guillaumin, 2010 .

Segmentation Propagation in ImageNet

Matthieu Guillaumin, Vittorio Ferrari, Daniel Küttel, 2012, ECCV.

Prime Object Proposals with Randomized Prim's Algorithm

Santiago Manen, Matthieu Guillaumin, Luc Van Gool, 2013, 2013 IEEE International Conference on Computer Vision.

Food-101 - Mining Discriminative Components with Random Forests

Matthieu Guillaumin, Luc Van Gool, Lukas Bossard, 2014, ECCV.

Quantized Kernel Learning for Feature Matching

Matthieu Guillaumin, Luc Van Gool, Xuanli Chen, 2014, NIPS.

Incremental Learning of NCM Forests for Large-Scale Image Classification

Matthieu Guillaumin, Luc Van Gool, Juergen Gall, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Non-maximum Suppression for Object Detection by Passing Messages Between Windows

Matthieu Guillaumin, Luc Van Gool, Rasmus Rothe, 2014, ACCV.

Combining Image-Level and Segment-Level Models for Automatic Annotation

Matthieu Guillaumin, Vittorio Ferrari, Daniel Küttel, 2012, MMM.

TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation

Cordelia Schmid, Matthieu Guillaumin, Thomas Mensink, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Fast Energy Minimization Using Learned State Filters

Matthieu Guillaumin, Luc Van Gool, Vittorio Ferrari, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Non-maximum suppression for object detection by passing messages between windows

Matthieu Guillaumin, Luc Van Gool, Rasmus Rothe, 2015 .

Multimodal semi-supervised learning for image classification

Cordelia Schmid, Matthieu Guillaumin, Jakob J. Verbeek, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Automatic face naming with caption-based supervision

Cordelia Schmid, Matthieu Guillaumin, Thomas Mensink, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

New Results - Supervised methods for visual object recognition and localization

Cordelia Schmid, Matthieu Guillaumin, Tingting Jiang, 2009 .

Incremental Learning of Random Forests for Large-Scale Image Classification

Matthieu Guillaumin, Luc Van Gool, Juergen Gall, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Closed-Form Training of Conditional Random Fields for Large Scale Image Segmentation pdf

Matthieu Guillaumin, Christoph H. Lampert, Alexander Kolesnikov, 2014, ArXiv.

From categories to subcategories: Large-scale image classification with partial class label refinement

Matthieu Guillaumin, Luc Van Gool, Juergen Gall, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning to rank bag-of-word histograms for large-scale object retrieval

Matthieu Guillaumin, Luc Van Gool, Yuhua Chen, 2014 .

ABO: Dataset and Benchmarks for Real-World 3D Object Understanding pdf

Matthieu Guillaumin, Himanshu Arora, Jitendra Malik, 2021, ArXiv.