2 citations · 4 across the 5 of their papers we have counts for
5 papers
Continual Learning with Neuron Activation Importance
Sohee Kim, Seungkyu Lee
Continual learning is a concept of online learning with multiple sequential tasks. One of the critical barriers of continual learning is that a network should learn a new task keep…
Unrealistic Feature Suppression for Generative Adversarial Networks
Sanghun Kim, SeungKyu Lee
Due to the unstable nature of minimax game between generator and discriminator, improving the performance of GANs is a challenging task. Recent studies have shown that selected hig…
Sub-clusters of Normal Data for Anomaly Detection
Gahye Lee, Seungkyu Lee
Anomaly detection in data analysis is an interesting but still challenging research topic in real world applications. As the complexity of data dimension increases, it requires to…
Mode Penalty Generative Adversarial Network with adapted Auto-encoder
Gahye Lee, Seungkyu Lee
Generative Adversarial Networks (GAN) are trained to generate sample images of interest distribution. To this end, generator network of GAN learns implicit distribution of real dat…
Small Noisy and Perspective Face Detection using Deformable Symmetric Gabor Wavelet Network
Sherzod Salokhiddinov, Seungkyu Lee
Face detection and tracking in low resolution image is not a trivial task due to the limitation in the appearance features for face characterization. Moreover, facial expression gi…