output
20172026
most citedWeakly Supervised Object Discovery by Generative Adversarial & Ranking Networks

5 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2017Show all

2 papers · 1 filter

cs.CV2017★ 5 cited

Weakly Supervised Object Discovery by Generative Adversarial & Ranking Networks

Ali Diba, Vivek Sharma, Rainer Stiefelhagen +1

The deep generative adversarial networks (GAN) recently have been shown to be promising for different computer vision applications, like image edit- ing, synthesizing high resoluti…

quant-ph2017★ 3 cited

Analyzing the spectral density of a perturbed analog quantum simulator using Keldysh formalism

Sebastian Zanker, Iris Schwenk, Jan-Michael Reiner +2

Simulation of interacting electron systems is one of the great challenges of modern quantum chemistry and solid state physics. Controllable quantum systems offer the opportunity to…