241 citations · 615 across the 38 of their papers we have counts for
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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…
DIABLO: Dictionary-based Attention Block for Deep Metric Learning
Pierre Jacob, David Picard, Aymeric Histace +1
Recent breakthroughs in representation learning of unseen classes and examples have been made in deep metric learning by training at the same time the image representations and a c…