Antoine Veillard

According to our database1, Antoine Veillard authored at least 18 papers between 2010 and 2017.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2017
Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval.
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

DeepHash for Image Instance Retrieval: Getting Regularization, Depth and Fine-Tuning Right.
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

Compression of Deep Neural Networks for Image Instance Retrieval.
Proceedings of the 2017 Data Compression Conference, 2017

Group Invariant Deep Representations for Image Instance Retrieval.
Proceedings of the 2017 AAAI Spring Symposia, 2017

2016
A practical guide to CNNs and Fisher Vectors for image instance retrieval.
Signal Process., 2016

Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval.
CoRR, 2016

Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing.
Proceedings of the 2016 Data Compression Conference, 2016

2015
DeepHash: Getting Regularization, Depth and Fine-Tuning Right.
CoRR, 2015

Co-regularized deep representations for video summarization.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Compact Global Descriptors for Visual Search.
Proceedings of the 2015 Data Compression Conference, 2015

2012
Nuclei extraction from histopathological images using a marked point process approach.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

pRBF Kernels: A Framework for the Incorporation of Task-Specific Properties into Support Vector Methods.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

SVM-based Framework for the Robust Extraction of Objects from Histopathological Images Using Color, Texture, Scale and Geometry.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011
Time-efficient sparse analysis of histopathological whole slide images.
Comput. Medical Imaging Graph., 2011

Incorporating Prior-Knowledge in Support Vector Machines by Kernel Adaptation.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Incremental Query Answering over Dynamic Contextual Information.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2010
Support Vector Methods for Sentence Level Machine Translation Evaluation.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

An Exploration Scheme for Large Images: Application to Breast Cancer Grading.
Proceedings of the 20th International Conference on Pattern Recognition, 2010


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