Neural networks and principal component analysis: Learning from examples without local minima, Neural networks, vol.2, issue.1, p.38, 1989. ,
Discovering hidden factors of variation in deep networks, vol.25, p.26, 2014. ,
Stargan: Unified generative adversarial networks for multi-domain image-to-image translation, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, p.74, 2018. ,
Torch7: A matlab-like environment for machine learning, BigLearn, NIPS Workshop, p.38, 2011. ,
Of gods and goats: Weakly supervised learning of figurative art, Proceedings of the British Machine Vision Conference, 2013. ,
Histogram of Oriented Gradients for Human Detection, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, vol.2, p.28, 2005. ,
Maximum likelihood from incomplete data via the em algorithm, Journal of the Royal Statistical Society: Series B (Methodological), vol.39, issue.1, p.22, 1977. ,
Deep generative image models using a laplacian pyramid of adversarial networks, Advances in Neural Information Processing Systems, p.26, 2015. ,
The rijksmuseum collection as linked data. Semantic Web, vol.9, pp.221-230, 2018. ,
What makes paris look like paris?, Proceedings of the ACM SIGGRAPH Conference on Computer Graphics, vol.28, p.29, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-01248528
Mid-level visual element discovery as discriminative mode seeking, Advances in Neural Information Processing Systems, 2013. ,
Inverting convolutional networks with convolutional networks, 2015. ,
Generating images with perceptual similarity metrics based on deep networks, 2016. ,
Learning to generate chairs, tables and cars with convolutional networks, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.36, p.73, 2016. ,
Multimodal compact bilinear pooling for visual question answering and visual grounding, 2016. ,
A century of portraits: A visual historical record of american high school yearbooks, vol.16, p.64, 2015. ,
Weakly supervised object detection in artworks, Proceedings of the European Conference on Computer Vision (ECCV), pp.0-0, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01903791
Generative adversarial nets, Advances in Neural Information Processing Systems, p.26, 2015. ,
Unsupervised learning of categories from sets of partially matching image features, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, p.28, 2006. ,
Deep residual learning for image recognition, Proceedings of the IEEE conference on computer vision and pattern recognition, vol.27, p.48, 2016. ,
A fast learning algorithm for deep belief nets, Neural Computation, vol.18, issue.7, p.24, 2006. ,
Modeling the manifolds of images of handwritten digits, IEEE transactions on Neural Networks, vol.8, issue.1, p.21, 1997. ,
Batch normalization: Accelerating deep network training by reducing internal covariate shift. CoRR, abs/1502.03167, 2015. ,
Image-toimage translation with conditional adversarial networks, Proceedings of the IEEE conference on computer vision and pattern recognition, vol.25, p.74, 2017. ,
Perceptual losses for real-time style transfer and super-resolution, European Conference on Computer Vision, vol.26, p.48, 2016. ,
Unsupervised feature optimization (ufo): Simultaneous selection of multiple features with their detection parameters, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, p.28, 2009. ,
Auto-encoding variational Bayes, Proceedings of the International Conference on Learning Representations, p.24, 2015. ,
Application of the karhunen-loeve procedure for the characterization of human faces, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.12, issue.1, p.20, 1990. ,
ImageNet classification with deep convolutional neural networks, Advances in Neural Information Processing Systems, p.43, 2012. ,
Deep convolutional inverse graphics network, Advances in Neural Information Processing Systems, p.25, 2015. ,
Learning a generative model of images by factoring appearance and shape, Neural Comput, vol.23, issue.3, pp.593-650, 2011. ,
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations, Proceedings of the 26th Annual International Conference on Machine Learning, p.28, 2009. ,
Linking past to present: Discovering style in two centuries of architecture, International Conference on Computational Photography, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01152482
Style-aware mid-level representation for discovering visual connections in space and time, Proceedings of the International Conference on Computer Vision, vol.30, p.64, 2013. ,
Bilinear cnn models for fine-grained visual recognition, Proceedings of the International Conference on Computer Vision, pp.1449-1457, 2015. ,
Object recognition from local scale-invariant features, Proceedings of the 7th International Conference on Computer Vision, pp.1150-1157, 1928. ,
Least squares generative adversarial networks, Proceedings of the IEEE International Conference on Computer Vision, p.44, 2017. ,
Open access series of imaging studies (oasis): Longitudinal mri data in nondemented and demented older adults, Journal of Cognitive Neuroscience, vol.22, issue.12, p.9, 2010. ,
Time-lapse mining from internet photos, ACM Trans. Graph, vol.34, issue.4, p.27, 2015. ,
Scene chronology, Proceedings of the European Conference on Computer Vision, p.28, 2014. ,
Bubblenet: Foveated imaging for visual discovery, Proceedings of the International Conference on Computer Vision, vol.29, p.30, 2015. ,
Quantitative analysis of culture using millions of digitized books, Science, vol.331, issue.6014, 2011. ,
Modeling image patches with a directed hierarchy of Markov random fields, Advances in Neural Information Processing Systems, p.24, 2008. ,
On lines and planes of closest fit to systems of points in space, The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, vol.2, issue.11, p.19, 1901. ,
World-scale mining of objects and events from community photo collections, Proceedings of the ACM International Conference on Image and Video Retrieval, p.27, 2008. ,
Unsupervised representation learning with deep convolutional generative adversarial networks, Proceedings of the International Conference on Learning Representations, p.26, 2016. ,
Learning to disentangle factors of variation with manifold interaction, Proceedings of the International Conference on Machine Learning, vol.25, p.52, 2014. ,
Faster R-CNN: Towards real-time object detection with region proposal networks, Advances in neural information processing systems, p.52, 2015. ,
The human speechome project. Symbol Grounding and Beyond, pp.192-196, 2006. ,
Imagenet large scale visual recognition challenge, International Journal of Computer Vision, vol.43, p.53, 2015. ,
Deep Boltzmann machines, Proceedings of the International Conference on Artificial Intelligence and Statistics, p.24, 2008. ,
Improved techniques for training GANs, Advances in Neural Information Processing Systems, p.53, 2016. ,
Optimal unsupervised learning in a single-layer linear feedforward neural network, Neural networks, vol.2, issue.6, p.38, 1989. ,
Discovering visual patterns in art collections with spatially-consistent feature learning, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-02104041
Unsupervised discovery of mid-level discriminative patches, Proceedings of the European Conference on Computer Vision, p.28, 2012. ,
Video data mining using configurations of viewpoint invariant regions, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, p.28, 2004. ,
Discovering objects and their location in images, Proceedings of the 10th International Conference on Computer Vision, p.28, 2005. ,
Canadian association of radiologists white paper on artificial intelligence in radiology, Canadian Association of Radiologists Journal, vol.69, issue.2, pp.120-135, 2018. ,
Multi-view 3d models from single images with a convolutional network, Proceedings of the European Conference on Computer Vision, vol.24, p.25, 2016. ,
Separating style and content with bilinear models, Neural computation, vol.12, issue.6, p.41, 2000. ,
, The Visual Arts Data Service. the visual arts data service
, The Watermark Project. The watermark project
Face recognition using eigenfaces, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.586-591, 1921. ,
Multilinear analysis of image ensembles: Tensorfaces, Proceedings of the European Conference on Computer Vision, p.22, 2002. ,
Extracting and composing robust features with denoising autoencoders, Proceedings of the International Conference on Machine Learning, p.24, 2008. ,
Generative image modeling using style and structure adversarial networks, Proceedings of the European Conference on Computer Vision, vol.26, p.53, 2016. ,
Attribute2Image: Conditional image generation from visual attributes, Proceedings of the European Conference on Computer Vision, p.52, 2016. ,
Face detection using a mixture of factor analyzers, Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on, vol.3, p.22, 1999. ,
Colorful image colorization, Proceedings of the European Conference on Computer Vision, p.53, 2016. ,
Generative visual manipulation on the natural image manifold, Proceedings of the European Conference on Computer Vision, p.26, 2016. ,
Unpaired image-to-image translation using cycle-consistent adversarial networks, Proceedings of the International Conference on Computer Vision, vol.64, p.69, 2017. ,