activity
20172023
most citedVATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text

339 citations · 679 across the 15 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.CV2023

Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation

Shuangrui Ding, Peisen Zhao, Xiaopeng Zhang +3

Transformers have become the primary backbone of the computer vision community due to their impressive performance. However, the unfriendly computation cost impedes their potential…

cs.CV2023★ 1 cited

Semantics Meets Temporal Correspondence: Self-supervised Object-centric Learning in Videos

Rui Qian, Shuangrui Ding, Xian Liu +1

Self-supervised methods have shown remarkable progress in learning high-level semantics and low-level temporal correspondence. Building on these results, we take one step further a…