16 citations · 24 across the 4 of their papers we have counts for
4 papers
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…
Object-aware Contrastive Learning for Debiased Scene Representation
Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn +2
Contrastive self-supervised learning has shown impressive results in learning visual representations from unlabeled images by enforcing invariance against different data augmentati…
Optimal Function-on-Scalar Regression over Complex Domains
Matthew Reimherr, Bharath Sriperumbudur, Hyun Bin Kang
In this work we consider the problem of estimating function-on-scalar regression models when the functions are observed over multi-dimensional or manifold domains and with potentia…
Manifold Data Analysis with Applications to High-Frequency 3D Imaging
Hyun Bin Kang, Matthew Reimherr, Mark Shriver +1
Many scientific areas are faced with the challenge of extracting information from large, complex, and highly structured data sets. A great deal of modern statistical work focuses o…