Elliot Vincent's research while affiliated with Université Gustave Eiffel and other places

Publications (3)

Preprint
Full-text available
Machine learning techniques have proved useful for classifying and analyzing audio content. However, recent methods typically rely on abstract and high-dimensional representations that are difficult to interpret. Inspired by transformation-invariant approaches developed for image and 3D data, we propose an audio identification model based on learna...
Preprint
We present an unsupervised learning framework for decomposing images into layers of automatically discovered object models. Contrary to recent approaches that model image layers with autoencoder networks, we represent them as explicit transformations of a small set of prototypical images. Our model has three main components: (i) a set of object pro...

Citations

... Spatial warps, as implemented in [39], have proven useful for various tasks, e.g., automatic image rectification for text recognition [65], semantic segmentation [24], and the contextual synthesis of images [56,96] or videos [1,2,6,7,25,31,47,52,77,84,85]. Here, we parameterize the warp with thin-plate splines (TPS) [8], whose parameters are motion vectors sampled at a small set of control points. ...