Search Results for author: Jiangnan Tang

Found 2 papers, 2 papers with code

A Unified Diffusion Framework for Scene-aware Human Motion Estimation from Sparse Signals

1 code implementation7 Apr 2024 Jiangnan Tang, Jingya Wang, Kaiyang Ji, Lan Xu, Jingyi Yu, Ye Shi

One of the biggest challenges to this task is the one-to-many mapping from sparse observations to dense full-body motions, which endowed inherent ambiguities.

Motion Estimation

FedTP: Federated Learning by Transformer Personalization

1 code implementation3 Nov 2022 Hongxia Li, Zhongyi Cai, Jingya Wang, Jiangnan Tang, Weiping Ding, Chin-Teng Lin, Ye Shi

Instead of using a vanilla personalization mechanism that maintains personalized self-attention layers of each client locally, we develop a learn-to-personalize mechanism to further encourage the cooperation among clients and to increase the scablability and generalization of FedTP.

Personalized Federated Learning Privacy Preserving

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