48 citations · 120 across the 25 of their papers we have counts for
6 papers · 1 filter
SGAN: An Alternative Training of Generative Adversarial Networks
Tatjana Chavdarova, François Fleuret
The Generative Adversarial Networks (GANs) have demonstrated impressive performance for data synthesis, and are now used in a wide range of computer vision tasks. In spite of this…
The WILDTRACK Multi-Camera Person Dataset
Tatjana Chavdarova, Pierre Baqué, Stéphane Bouquet +6
People detection methods are highly sensitive to the perpetual occlusions among the targets. As multi-camera set-ups become more frequently encountered, joint exploitation of the a…
Geometric calibration of Colour and Stereo Surface Imaging System of ESA's Trace Gas Orbiter
Stepan Tulyakov, Anton Ivanov, Nicolas Thomas +5
There are many geometric calibration methods for "standard" cameras. These methods, however, cannot be used for the calibration of telescopes with large focal lengths and complex o…
Biased Importance Sampling for Deep Neural Network Training
Angelos Katharopoulos, François Fleuret
Importance sampling has been successfully used to accelerate stochastic optimization in many convex problems. However, the lack of an efficient way to calculate the importance stil…
Kronecker Recurrent Units
Cijo Jose, Moustpaha Cisse, Francois Fleuret
Our work addresses two important issues with recurrent neural networks: (1) they are over-parameterized, and (2) the recurrence matrix is ill-conditioned. The former increases the…
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection
Pierre Baqué, François Fleuret, Pascal Fua
People detection in single 2D images has improved greatly in recent years. However, comparatively little of this progress has percolated into multi-camera multi-people tracking alg…