45 citations · 93 across the 18 of their papers we have counts for
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cs.CV2020
Temporal Action Detection with Multi-level Supervision
Baifeng Shi, Qi Dai, Judy Hoffman +3
Training temporal action detection in videos requires large amounts of labeled data, yet such annotation is expensive to collect. Incorporating unlabeled or weakly-labeled data to…
cs.LG2020★ 45 cited
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
Baifeng Shi, Dinghuai Zhang, Qi Dai +3
Convolutional Neural Networks (CNNs) are known to rely more on local texture rather than global shape when making decisions. Recent work also indicates a close relationship between…
cs.CV2020
Weakly-Supervised Action Localization by Generative Attention Modeling
Baifeng Shi, Qi Dai, Yadong Mu +1
Weakly-supervised temporal action localization is a problem of learning an action localization model with only video-level action labeling available. The general framework largely…