29 citations · 74 across the 13 of their papers we have counts for
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cs.CV2022★ 3 cited
Towards Good Practices for Missing Modality Robust Action Recognition
Sangmin Woo, Sumin Lee, Yeonju Park +2
Standard multi-modal models assume the use of the same modalities in training and inference stages. However, in practice, the environment in which multi-modal models operate may no…
cs.CV2022
Modality Mixer for Multi-modal Action Recognition
Sumin Lee, Sangmin Woo, Yeonju Park +2
In multi-modal action recognition, it is important to consider not only the complementary nature of different modalities but also global action content. In this paper, we propose a…
cs.CV2022★ 3 cited
Explore-And-Match: Bridging Proposal-Based and Proposal-Free With Transformer for Sentence Grounding in Videos
Sangmin Woo, Jinyoung Park, Inyong Koo +3
Natural Language Video Grounding (NLVG) aims to localize time segments in an untrimmed video according to sentence queries. In this work, we present a new paradigm named Explore-An…