42 citations · 62 across the 8 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.CV2021★ 42 cited
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
Chaoyang He, Alay Dilipbhai Shah, Zhenheng Tang +7
Federated Learning (FL) is a distributed learning paradigm that can learn a global or personalized model from decentralized datasets on edge devices. However, in the computer visio…
cs.LG2021★ 1 cited
Off-policy Imitation Learning from Visual Inputs
Zhihao Cheng, Li Shen, Dacheng Tao
Recently, various successful applications utilizing expert states in imitation learning (IL) have been witnessed. However, another IL setting -- IL from visual inputs (ILfVI), whic…
cs.CV2021★ 3 cited
End-to-End Adaptive Monte Carlo Denoising and Super-Resolution
Xinyue Wei, Haozhi Huang, Yujin Shi +3
The classic Monte Carlo path tracing can achieve high quality rendering at the cost of heavy computation. Recent works make use of deep neural networks to accelerate this process,…