297 citations · 1.1k across the 40 of their papers we have counts for
3 papers · 1 filter
Online Domain Adaptation for Multi-Object Tracking
Adrien Gaidon, Eleonora Vig
Automatically detecting, labeling, and tracking objects in videos depends first and foremost on accurate category-level object detectors. These might, however, not always be availa…
Deep Fishing: Gradient Features from Deep Nets
Albert Gordo, Adrien Gaidon, Florent Perronnin
Convolutional Networks (ConvNets) have recently improved image recognition performance thanks to end-to-end learning of deep feed-forward models from raw pixels. Deep learning is a…
Online Learning to Sample
Guillaume Bouchard, Théo Trouillon, Julien Perez +1
Stochastic Gradient Descent (SGD) is one of the most widely used techniques for online optimization in machine learning. In this work, we accelerate SGD by adaptively learning how…