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Guillaumin, Matthieu
37  Ergebnisse:
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1

ABO: Dataset and Benchmarks for Real-World 3D Object Unders..:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Collins, Jasmine ; Goel, Shubham ; Deng, Kenan... - p. 21094-21104 , 2022
Link: https://doi.org/10.1109/..
 
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2

Incremental Learning of Random Forests for Large-Scale Imag..:

Ristin, Marko ; Guillaumin, Matthieu ; Gall, Juergen.
IEEE Transactions on Pattern Analysis and Machine Intelligence.  38 (2016)  3 - p. 490-503 , 2016
Link: https://doi.org/10.1109/..
 
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3

Incremental Learning of NCM Forests for Large-Scale Image C..:

, In: 2014 IEEE Conference on Computer Vision and Pattern Recognition,
Ristin, Marko ; Guillaumin, Matthieu ; Gall, Juergen. - p. 3654-3661 , 2014
Link: https://doi.org/10.1109/..
 
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4

ImageNet Auto-Annotation with Segmentation Propagation:

Guillaumin, Matthieu ; Küttel, Daniel ; Ferrari, Vittorio
International Journal of Computer Vision.  110 (2014)  3 - p. 328-348 , 2014
Link: https://doi.org/10.1007/..
 
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5

Face Recognition from Caption-Based Supervision:

Guillaumin, Matthieu ; Mensink, Thomas ; Verbeek, Jakob.
International Journal of Computer Vision.  96 (2011)  1 - p. 64-82 , 2011
Link: https://doi.org/10.1007/..
 
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6

Image annotation with tagprop on the MIRFLICKR set:

, In: Proceedings of the international conference on Multimedia information retrieval,
Verbeek, Jakob ; Guillaumin, Matthieu ; Mensink, Thomas. - p. 537-546 , 2010
Link: https://dl.acm.org/doi/1..
 
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7

ABO: Dataset and Benchmarks for Real-World 3D Object Unders..:

Collins, Jasmine ; Goel, Shubham ; Deng, Kenan...
http://arxiv.org/abs/2110.06199.  , 2021
Link: http://arxiv.org/abs/211..
 
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8

From categories to subcategories: Large-scale image classif..:

Ristin, Marko ; Gall, Juergen ; Guillaumin, Matthieu.
info:eu-repo/semantics/altIdentifier/doi/10.1109/CVPR.2015.7298619.  , 2015
Link: https://hdl.handle.net/2..
 
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9

Non-maximum suppression for object detection by passing mes..:

Rothe, Rasmus ; Guillaumin, Matthieu ; Van Gool, Luc
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-16865-4_19.  , 2015
Link: https://hdl.handle.net/2..
 
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10

ImageNet Auto-Annotation with Segmentation Propagation:

Guillaumin, Matthieu ; Küttel, Daniel ; Ferrari, Vittorio
info:eu-repo/semantics/altIdentifier/doi/10.1007/s11263-014-0713-9.  , 2014
Link: https://hdl.handle.net/2..
 
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11

Closed-form approximate CRF training for scalable image seg..:

Kolesnikov, Alexander ; Guillaumin, Matthieu ; Ferrari, Vittorio...
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-10578-9_36.  , 2014
Link: https://research-explore..
 
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12

Closed-Form Training of Conditional Random Fields for Large..:

Kolesnikov, Alexander ; Guillaumin, Matthieu ; Ferrari, Vittorio.
http://arxiv.org/abs/1403.7057.  , 2014
Link: http://arxiv.org/abs/140..
 
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13

Face recognition from caption-based supervision:

Guillaumin, Matthieu ; Mensink, Thomas ; Verbeek, Jakob.
info:eu-repo/semantics/altIdentifier/doi/10.1007/s11263-011-0447-x.  , 2012
Link: https://hal.inria.fr/inr..
 
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14

Face recognition from caption-based supervision:

Guillaumin, Matthieu ; Mensink, Thomas ; Verbeek, Jakob.
info:eu-repo/semantics/altIdentifier/doi/10.1007/s11263-011-0447-x.  , 2012
Link: https://hal.inria.fr/inr..
 
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15

Multiple instance metric learning from automatically labele..:

Guillaumin, Matthieu ; Verbeek, Jakob ; Schmid, Cordelia
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-15549-9_46.  , 2010
Link: https://hal.inria.fr/inr..
 
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