no code implementations • 9 Dec 2021 • Juyeop Kim, Jun-Ho Choi, Soobeom Jang, Jong-Seok Lee
While adversarial perturbation of images to attack deep image classification models pose serious security concerns in practice, this paper suggests a novel paradigm where the concept of image perturbation can benefit classification performance, which we call amicable aid.
1 code implementation • 28 May 2019 • Soobeom Jang, Seong-Eun Moon, Jong-Seok Lee
Electroencephalography (EEG) is a useful way to implicitly monitor the users perceptual state during multimedia consumption.
no code implementations • 12 Sep 2018 • Seong-Eun Moon, Soobeom Jang, Jong-Seok Lee
Emotion recognition based on electroencephalography (EEG) has received attention as a way to implement human-centric services.
no code implementations • 12 Sep 2018 • Soobeom Jang, Seong-Eun Moon, Jong-Seok Lee
This paper proposes a novel graph signal-based deep learning method for electroencephalography (EEG) and its application to EEG-based video identification.
no code implementations • 11 Sep 2018 • Seong-Eun Moon, Soobeom Jang, Jong-Seok Lee
Evaluation of quality of experience (QoE) based on electroencephalography (EEG) has received great attention due to its capability of real-time QoE monitoring of users.