Image Clustering Conditioned on Text Criteria

1 code implementation • 27 Oct 2023 • Sehyun Kwon, Jaeseung Park, Minkyu Kim, Jaewoong Cho, Ernest K. Ryu, Kangwook Lee

Classical clustering methods do not provide users with direct control of the clustering results, and the clustering results may not be consistent with the relevant criterion that a user has in mind.

Clustering Image Clustering

Rotation and Translation Invariant Representation Learning with Implicit Neural Representations

1 code implementation • 27 Apr 2023 • Sehyun Kwon, Joo Young Choi, Ernest K. Ryu

In many computer vision applications, images are acquired with arbitrary or random rotations and translations, and in such setups, it is desirable to obtain semantic representations disentangled from the image orientation.

Clustering Representation Learning +1

WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points

1 code implementation • 15 Feb 2021 • Albert No, Taeho Yoon, Sehyun Kwon, Ernest K. Ryu

Generative adversarial networks (GAN) are a widely used class of deep generative models, but their minimax training dynamics are not understood very well.