604 citations · 813 across the 7 of their papers we have counts for
8 papers
Scene Graph Generation for Better Image Captioning?
Maximilian Mozes, Martin Schmitt, Vladimir Golkov +2
We investigate the incorporation of visual relationships into the task of supervised image caption generation by proposing a model that leverages detected objects and auto-generate…
Rotation-Equivariant Deep Learning for Diffusion MRI
Philip Müller, Vladimir Golkov, Valentina Tomassini +1
Convolutional networks are successful, but they have recently been outperformed by new neural networks that are equivariant under rotations and translations. These new networks wor…
Speech Synthesis and Control Using Differentiable DSP
Giorgio Fabbro, Vladimir Golkov, Thomas Kemp +1
Modern text-to-speech systems are able to produce natural and high-quality speech, but speech contains factors of variation (e.g. pitch, rhythm, loudness, timbre)\ that text alone…
Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions
Vladimir Golkov, Alexander Becker, Daniel T. Plop +6
Computer-aided drug discovery is an essential component of modern drug development. Therein, deep learning has become an important tool for rapid screening of billions of molecules…
Learning to Evolve
Jan Schuchardt, Vladimir Golkov, Daniel Cremers
Evolution and learning are two of the fundamental mechanisms by which life adapts in order to survive and to transcend limitations. These biological phenomena inspired successful c…
q-Space Novelty Detection with Variational Autoencoders
Aleksei Vasilev, Vladimir Golkov, Marc Meissner +5
In machine learning, novelty detection is the task of identifying novel unseen data. During training, only samples from the normal class are available. Test samples are classified…