164 citations · 168 across the 3 of their papers we have counts for
3 papers
cs.CV2019★ 3 cited
Slim DensePose: Thrifty Learning from Sparse Annotations and Motion Cues
Natalia Neverova, James Thewlis, Rıza Alp Güler +2
DensePose supersedes traditional landmark detectors by densely mapping image pixels to body surface coordinates. This power, however, comes at a greatly increased annotation time,…
cs.CV2017★ 1 cited
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…
stat.ML2017★ 164 cited
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…