Matthieu Guillaumin

According to our database1, Matthieu Guillaumin authored at least 26 papers between 2008 and 2016.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2016
Incremental Learning of Random Forests for Large-Scale Image Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

2015
From categories to subcategories: Large-scale image classification with partial class label refinement.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
ImageNet Auto-Annotation with Segmentation Propagation.
Int. J. Comput. Vis., 2014

Closed-Form Training of Conditional Random Fields for Large Scale Image Segmentation.
CoRR, 2014

Quantized Kernel Learning for Feature Matching.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations.
Proceedings of the Computer Vision - ECCV 2014, 2014

Closed-Form Approximate CRF Training for Scalable Image Segmentation.
Proceedings of the Computer Vision - ECCV 2014, 2014

Food-101 - Mining Discriminative Components with Random Forests.
Proceedings of the Computer Vision - ECCV 2014, 2014

Incremental Learning of NCM Forests for Large-Scale Image Classification.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Learning to Rank Histograms for Object Retrieval.
Proceedings of the British Machine Vision Conference, 2014

Non-maximum Suppression for Object Detection by Passing Messages Between Windows.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Prime Object Proposals with Randomized Prim's Algorithm.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Event Recognition in Photo Collections with a Stopwatch HMM.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Fast Energy Minimization Using Learned State Filters.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Face Recognition from Caption-Based Supervision.
Int. J. Comput. Vis., 2012

Combining Image-Level and Segment-Level Models for Automatic Annotation.
Proceedings of the Advances in Multimedia Modeling - 18th International Conference, 2012

Segmentation Propagation in ImageNet.
Proceedings of the Computer Vision - ECCV 2012, 2012

Large-scale knowledge transfer for object localization in ImageNet.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2010
Exploiting Multimodal Data for Image Understanding. (Données multimodales pour l'analyse d'image).
PhD thesis, 2010

Image annotation with tagprop on the MIRFLICKR set.
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

Multiple Instance Metric Learning from Automatically Labeled Bags of Faces.
Proceedings of the Computer Vision, 2010

Multimodal semi-supervised learning for image classification.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Is that you? Metric learning approaches for face identification.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

INRIA-LEAR's Participation in ImageCLEF 2009.
Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009

2008
Automatic face naming with caption-based supervision.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008


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