Search Results for author: Jongju Shin

Found 5 papers, 2 papers with code

Gallery Sampling for Robust and Fast Face Identification

no code implementations12 May 2023 Myung-Cheol Roh, Pyoung-gang Lim, Jongju Shin

Previous works have been trying to deal with the problem only in training domain, however it can cause much serious problem if the mistakes are in gallery data of face identification.

Face Identification Face Recognition

GroupFace: Learning Latent Groups and Constructing Group-based Representations for Face Recognition

3 code implementations CVPR 2020 Yonghyun Kim, Wonpyo Park, Myung-Cheol Roh, Jongju Shin

In the field of face recognition, a model learns to distinguish millions of face images with fewer dimensional embedding features, and such vast information may not be properly encoded in the conventional model with a single branch.

Face Identification Face Recognition +1

Uncorrelated Feature Encoding for Faster Image Style Transfer

no code implementations4 Jul 2018 Minseong Kim, Jongju Shin, Myung-Cheol Roh, Hyun-Chul Choi

Although the pre-trained network is used to generate responses of receptive fields effective for representing style and content of image, it is not optimized for image style transfer but rather for image classification.

Image Classification Style Transfer

Face Alignment Robust to Pose, Expressions and Occlusions

no code implementations19 Jul 2017 Vishnu Naresh Boddeti, Myung-Cheol Roh, Jongju Shin, Takaharu Oguri, Takeo Kanade

To account for partial occlusions we introduce, Robust Constrained Local Models, that comprises of a deformable shape and local landmark appearance model and reasons over binary occlusion labels.

Face Alignment

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