no code implementations • 14 Dec 2023 • Vincent Tao Hu, Wenzhe Yin, Pingchuan Ma, Yunlu Chen, Basura Fernando, Yuki M Asano, Efstratios Gavves, Pascal Mettes, Bjorn Ommer, Cees G. M. Snoek
In this paper, we propose \emph{Motion Flow Matching}, a novel generative model designed for human motion generation featuring efficient sampling and effectiveness in motion editing applications.
no code implementations • 29 Sep 2021 • Laura Hanu, Yuki M Asano, James Thewlis, Christian Rupprecht
Learning strong representations for multi-modal retrieval is an important problem for many applications, such as recommendation and search.
no code implementations • ICLR 2022 • Iro Laina, Yuki M Asano, Andrea Vedaldi
Self-supervised visual representation learning has attracted significant research interest.
Ranked #90 on Image Classification on ObjectNet (using extra training data)