234 citations · 716 across the 24 of their papers we have counts for
3 papers · 1 filter
Mass Displacement Networks
Natalia Neverova, Iasonas Kokkinos
Despite the large improvements in performance attained by using deep learning in computer vision, one can often further improve results with some additional post-processing that ex…
Houdini: Fooling Deep Structured Prediction Models
Moustapha Cisse, Yossi Adi, Natalia Neverova +1
Generating adversarial examples is a critical step for evaluating and improving the robustness of learning machines. So far, most existing methods only work for classification and…
Predicting Deeper into the Future of Semantic Segmentation
Pauline Luc, Natalia Neverova, Camille Couprie +2
The ability to predict and therefore to anticipate the future is an important attribute of intelligence. It is also of utmost importance in real-time systems, e.g. in robotics or a…