research
∙
12/15/2020
Personalized Federated Learning with First Order Model Optimization
While federated learning traditionally aims to train a single global mod...
share
research
∙
07/16/2020
World-Consistent Video-to-Video Synthesis
Video-to-video synthesis (vid2vid) aims for converting high-level semant...
research
∙
07/14/2020
Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter
Conventional CNNs for texture synthesis consist of a sequence of (de)-co...
research
∙
05/21/2020
Hierarchical Multi-Scale Attention for Semantic Segmentation
Multi-scale inference is commonly used to improve the results of semanti...
research
∙
12/04/2018
Improving Semantic Segmentation via Video Propagation and Label Relaxation
Semantic segmentation requires large amounts of pixel-wise annotations t...
research
∙
11/28/2018