works on

From the 1 of 47 linked papers with an AI index.

activity
20072023
most citedADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

1.4k citations · 2.8k across the 38 of their papers we have counts for

collaborators
Showing 2017Show all

8 papers · 1 filter

cs.CV2017

Learning a Complete Image Indexing Pipeline

Himalaya Jain, Joaquin Zepeda, Patrick Pérez +1

To work at scale, a complete image indexing system comprises two components: An inverted file index to restrict the actual search to only a subset that should contain most of the i…

cs.CV2017★ 7 cited

Self-supervised Multi-level Face Model Learning for Monocular Reconstruction at over 250 Hz

Ayush Tewari, Michael Zollhöfer, Pablo Garrido +4

The reconstruction of dense 3D models of face geometry and appearance from a single image is highly challenging and ill-posed. To constrain the problem, many approaches rely on str…

cs.CR2017★ 348 cited

Adversarial Frontier Stitching for Remote Neural Network Watermarking

Erwan Le Merrer, Patrick Perez, Gilles Trédan

The state of the art performance of deep learning models comes at a high cost for companies and institutions, due to the tedious data collection and the heavy processing requiremen…

cs.SD2017★ 70 cited

Audio style transfer

Eric Grinstein, Ngoc Duong, Alexey Ozerov +1

'Style transfer' among images has recently emerged as a very active research topic, fuelled by the power of convolution neural networks (CNNs), and has become fast a very popular t…

cs.CV2017

SUBIC: A supervised, structured binary code for image search

Himalaya Jain, Joaquin Zepeda, Patrick Pérez +1

For large-scale visual search, highly compressed yet meaningful representations of images are essential. Structured vector quantizers based on product quantization and its variants…

cs.SI2017

Structured sampling and fast reconstruction of smooth graph signals

Gilles Puy, Patrick Pérez

This work concerns sampling of smooth signals on arbitrary graphs. We first study a structured sampling strategy for such smooth graph signals that consists of a random selection o…