75 citations · 80 across the 10 of their papers we have counts for
4 papers · 1 filter
1st Place in ICCV 2023 Workshop Challenge Track 1 on Resource Efficient Deep Learning for Computer Vision: Budgeted Model Training Challenge
Youngjun Kwak, Seonghun Jeong, Yunseung Lee +1
The budgeted model training challenge aims to train an efficient classification model under resource limitations. To tackle this task in ImageNet-100, we describe a simple yet effe…
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation
Hansol Kim, Youngjun Kwak, Minyoung Jung +3
Federated learning (FL) is a promising approach for enhancing data privacy preservation, particularly for authentication systems. However, limited round communications, scarce repr…
Robust face anti-spoofing framework with Convolutional Vision Transformer
Yunseung Lee, Youngjun Kwak, Jinho Shin
Owing to the advances in image processing technology and large-scale datasets, companies have implemented facial authentication processes, thereby stimulating increased focus on fa…
Liveness score-based regression neural networks for face anti-spoofing
Youngjun Kwak, Minyoung Jung, Hunjae Yoo +2
Previous anti-spoofing methods have used either pseudo maps or user-defined labels, and the performance of each approach depends on the accuracy of the third party networks generat…