274 citations · 649 across the 21 of their papers we have counts for
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cs.CV2022★ 1 cited
OAMixer: Object-aware Mixing Layer for Vision Transformers
Hyunwoo Kang, Sangwoo Mo, Jinwoo Shin
Patch-based models, e.g., Vision Transformers (ViTs) and Mixers, have shown impressive results on various visual recognition tasks, alternating classic convolutional networks. Whil…
cs.CV2022★ 3 cited
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling
Junhyun Nam, Sangwoo Mo, Jaeho Lee +1
To capture the relationship between samples and labels, conditional generative models often inherit spurious correlations from the training dataset. This can result in label-condit…
cs.CV2022★ 27 cited
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks
Sihyun Yu, Jihoon Tack, Sangwoo Mo +4
In the deep learning era, long video generation of high-quality still remains challenging due to the spatio-temporal complexity and continuity of videos. Existing prior works have…