214 citations · 712 across the 42 of their papers we have counts for
42 papers
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…
Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup
Junyoung Byun, Myung-Joon Kwon, Seungju Cho +2
Deep neural networks are widely known to be susceptible to adversarial examples, which can cause incorrect predictions through subtle input modifications. These adversarial example…
Sketch-based Video Object Localization
Sangmin Woo, So-Yeong Jeon, Jinyoung Park +3
We introduce Sketch-based Video Object Localization (SVOL), a new task aimed at localizing spatio-temporal object boxes in video queried by the input sketch. We first outline the c…
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…
RainUNet for Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts
Jinyoung Park, Minseok Son, Seungju Cho +2
This paper presents a solution to the Weather4cast 2022 Challenge Stage 2. The goal of the challenge is to forecast future high-resolution rainfall events obtained from ground rada…
Supervised Contrastive Learning on Blended Images for Long-tailed Recognition
Minki Jeong, Changick Kim
Real-world data often have a long-tailed distribution, where the number of samples per class is not equal over training classes. The imbalanced data form a biased feature space, wh…