1.4k citations · 4.9k across the 44 of their papers we have counts for
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Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation
Mengyu Chu, You Xie, Jonas Mayer +2
Our work explores temporal self-supervision for GAN-based video generation tasks. While adversarial training successfully yields generative models for a variety of areas, temporal…
Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs
Patrick Wenzel, Qadeer Khan, Daniel Cremers +1
Even though end-to-end supervised learning has shown promising results for sensorimotor control of self-driving cars, its performance is greatly affected by the weather conditions…
Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks
S. Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh +4
Many real-world problems, e.g. object detection, have outputs that are naturally expressed as sets of entities. This creates a challenge for traditional deep neural networks which…
Lifting Layers: Analysis and Applications
Peter Ochs, Tim Meinhardt, Laura Leal-Taixe +1
The great advances of learning-based approaches in image processing and computer vision are largely based on deeply nested networks that compose linear transfer functions with suit…