One paper accepted by ICLR 23

I am thrilled to share the good news that my ICLR paper is accepted.

TempCLR: Temporal Alignment Representation with Contrastive Learning

In this work, we work on video representation learning and proposed a contrastive learning framework to model the temporal succession between video and demonstrations.

More details including PDF, Supp and Code will be updated under the tab Research.

 

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