Search Results for author: Tingxun Lv

Found 2 papers, 0 papers with code

Adversarial Contrastive Self-Supervised Learning

no code implementations26 Feb 2022 Wentao Zhu, Hang Shang, Tingxun Lv, Chao Liao, Sen yang, Ji Liu

Recently, learning from vast unlabeled data, especially self-supervised learning, has been emerging and attracted widespread attention.

Self-Supervised Learning

Shifted Chunk Transformer for Spatio-Temporal Representational Learning

no code implementations NeurIPS 2021 Xuefan Zha, Wentao Zhu, Tingxun Lv, Sen yang, Ji Liu

However, the pure-Transformer based spatio-temporal learning can be prohibitively costly on memory and computation to extract fine-grained features from a tiny patch.

Action Anticipation Action Recognition +4

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