10 citations · 32 across the 6 of their papers we have counts for
7 papers · 1 filter
Multi-level Distance Regularization for Deep Metric Learning
Yonghyun Kim, Wonpyo Park
We propose a novel distance-based regularization method for deep metric learning called Multi-level Distance Regularization (MDR). MDR explicitly disturbs a learning procedure by r…
Suppressing Spoof-irrelevant Factors for Domain-agnostic Face Anti-spoofing
Taewook Kim, Yonghyun Kim
Face anti-spoofing aims to prevent false authentications of face recognition systems by distinguishing whether an image is originated from a human face or a spoof medium. We propos…
BroadFace: Looking at Tens of Thousands of People at Once for Face Recognition
Yonghyun Kim, Wonpyo Park, Jongju Shin
The datasets of face recognition contain an enormous number of identities and instances. However, conventional methods have difficulty in reflecting the entire distribution of the…
GroupFace: Learning Latent Groups and Constructing Group-based Representations for Face Recognition
Yonghyun Kim, Wonpyo Park, Myung-Cheol Roh +1
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 enc…
Detector With Focus: Normalizing Gradient In Image Pyramid
Yonghyun Kim, Bong-Nam Kang, Daijin Kim
An image pyramid can extend many object detection algorithms to solve detection on multiple scales. However, interpolation during the resampling process of an image pyramid causes…
Pairwise Relational Networks for Face Recognition
Bong-Nam Kang, Yonghyun Kim, Daijin Kim
Existing face recognition using deep neural networks is difficult to know what kind of features are used to discriminate the identities of face images clearly. To investigate the e…