241 citations · 485 across the 14 of their papers we have counts for
15 papers · 1 filter
Image Collation: Matching illustrations in manuscripts
Ryad Kaoua, Xi Shen, Alexandra Durr +3
Illustrations are an essential transmission instrument. For an historian, the first step in studying their evolution in a corpus of similar manuscripts is to identify which ones co…
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation
Victor Besnier, Andrei Bursuc, David Picard +1
In this paper, we tackle the detection of out-of-distribution (OOD) objects in semantic segmentation. By analyzing the literature, we found that current methods are either accurate…
Learning Uncertainty For Safety-Oriented Semantic Segmentation In Autonomous Driving
Victor Besnier, David Picard, Alexandre Briot
In this paper, we show how uncertainty estimation can be leveraged to enable safety critical image segmentation in autonomous driving, by triggering a fallback behavior if a target…
SSP-Net: Scalable Sequential Pyramid Networks for Real-Time 3D Human Pose Regression
Diogo Luvizon, Hedi Tabia, David Picard
In this paper we propose a highly scalable convolutional neural network, end-to-end trainable, for real-time 3D human pose regression from still RGB images. We call this approach t…
Improving Deep Metric Learning with Virtual Classes and Examples Mining
Pierre Jacob, David Picard, Aymeric Histace +1
In deep metric learning, the training procedure relies on sampling informative tuples. However, as the training procedure progresses, it becomes nearly impossible to sample relevan…
Deepzzle: Solving Visual Jigsaw Puzzles with Deep Learning andShortest Path Optimization
Marie-Morgane Paumard, David Picard, Hedi Tabia
We tackle the image reassembly problem with wide space between the fragments, in such a way that the patterns and colors continuity is mostly unusable. The spacing emulates the ero…