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Publications associées (193)

Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation

In this work, we propose a novel Cycle In Cycle Generative Adversarial Network (C2GAN) for the task of keypoint-guided image generation. The proposed C2GAN is a cross-modal framework exploring a joint exploitation of the keypoint and the image data in an i ...

ASSOC COMPUTING MACHINERY2019

A Large Range of Motion 3D MEMS Scanner With Five Degrees of Freedom

Matthias Imboden

Here, we discuss a novel, mixed mode 3D XYZ scanner built within a single foundry process. The device has a large range of motion in X, Y, and Z (14.1 mu m in X and Y and 97.9 mu m in Z) and can also rotate about two axes (7.4 degrees), making it a 5 degre ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results

Sabine Süsstrunk, Tong Zhang, Dong Liu, Ruofan Zhou, Fayez Lahoud, Radu Timofte, Chang Chen, Soumik Sarkar

In this paper, we describe the Perceptual Image Restoration and Manipulation (PIRM) workshop challenge on spectral image super-resolution, motivate its structure and conclude on results obtained by the participants. The challenge is one of the first of its ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

Deep Feature Factorization For Content-Based Image Retrieval And Localization

Sabine Süsstrunk, Edo Collins

State of the art content-based image retrieval algorithms owe their excellent performance to the rich semantics encoded in the deep activations of a convolutional neural network. The difference between these algorithms lies mostly in how activations are co ...

IEEE2019

Label-free, scalable and point-of-care imaging platform for rapid analysis of biomarker

Hatice Altug, Filiz Yesilköy, Alexander Belushkin, Yasaman Jahani

We propose a disruptive point-of-care (PoC) imaging platform based on lens-free interference phase-contrast imaging for rapid detection of biomarker such as for sepsis and potentially other diseases (e.g. cancer). It enables simultaneous analysis of potent ...

SPIE-INT SOC OPTICAL ENGINEERING2019

Processing Megapixel Images with Deep Attention-Sampling Models

François Fleuret, Angelos Katharopoulos

Existing deep architectures cannot operate on very large signals such as megapixel images due to computational and memory constraints. To tackle this limitation, we propose a fully differentiable end-to-end trainable model that samples and processes only a ...

Idiap2019

Making large art historical photo archives searchable

Benoît Laurent Auguste Seguin

In recent years, museums, archives and other cultural institutions have initiated important programs to digitize their collections. Millions of artefacts (paintings, engravings, drawings, ancient photographs) are now represented in digital photographic for ...

EPFL2018

Towards Ultrasound Everywhere: A Portable 3D Digital Back-End Capable of Zone and Compound Imaging

Jean-Philippe Thiran, Giovanni De Micheli, Federico Angiolini, Marcel Arditi, Aya Mohamed Naguib Ahmed Ibrahim, Shuping Zhang

Ultrasound imaging is a ubiquitous diagnostic technique, but does not fit the requirements of the telemedicine approach, because it relies on the real-time manipulation and image recognition skills of a trained expert, called sonographer. Sonographers are ...

2018

Computational Aesthetics and Image Enhancements using Deep Neural Networks

Bin Jin

Imaging devices have become ubiquitous in modern life, and many of us capture an increasing number of images every day. When we choose to share or store some of these images, our primary selection criterion is to choose the most visually pleasing ones. Yet ...

EPFL2018

New Techniques for the Digitization of Art Historical Photographic Archives - the Case of the Cini Foundation in Venice

Frédéric Kaplan, Isabella Di Lenardo, Benoît Laurent Auguste Seguin

Numerous libraries and museums hold large art historical photographic collections, numbering millions of images. Because of their non-standard format, these collections pose special challenges for digitization. This paper address these difficulties by prop ...

2018

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