activity
20182026
most citedHierarchical Multi-Scale Attention for Semantic Segmentation

347 citations · 498 across the 19 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.LG2020★ 26 cited

Personalized Federated Learning with First Order Model Optimization

Michael Zhang, Karan Sapra, Sanja Fidler +2

While federated learning traditionally aims to train a single global model across decentralized local datasets, one model may not always be ideal for all participating clients. Her…

cs.CV2020★ 3 cited

World-Consistent Video-to-Video Synthesis

Arun Mallya, Ting-Chun Wang, Karan Sapra +1

Video-to-video synthesis (vid2vid) aims for converting high-level semantic inputs to photorealistic videos. While existing vid2vid methods can achieve short-term temporal consisten…

cs.CV2020★ 6 cited

Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter

Guilin Liu, Rohan Taori, Ting-Chun Wang +6

Conventional CNNs for texture synthesis consist of a sequence of (de)-convolution and up/down-sampling layers, where each layer operates locally and lacks the ability to capture th…

cs.CV2020★ 347 cited

Hierarchical Multi-Scale Attention for Semantic Segmentation

Andrew Tao, Karan Sapra, Bryan Catanzaro

Multi-scale inference is commonly used to improve the results of semantic segmentation. Multiple images scales are passed through a network and then the results are combined with a…

cs.CV2020

Panoptic-based Image Synthesis

Aysegul Dundar, Karan Sapra, Guilin Liu +2

Conditional image synthesis for generating photorealistic images serves various applications for content editing to content generation. Previous conditional image synthesis algorit…