128 citations · 396 across the 49 of their papers we have counts for
52 papers
Spatial Reasoning for Few-Shot Object Detection
Geonuk Kim, Hong-Gyu Jung, Seong-Whan Lee
Although modern object detectors rely heavily on a significant amount of training data, humans can easily detect novel objects using a few training examples. The mechanism of the h…
Joint Dermatological Lesion Classification and Confidence Modeling with Uncertainty Estimation
Gun-Hee Lee, Han-Bin Ko, Seong-Whan Lee
Deep learning has played a major role in the interpretation of dermoscopic images for detecting skin defects and abnormalities. However, current deep learning solutions for dermato…
Precise Aerial Image Matching based on Deep Homography Estimation
Myeong-Seok Oh, Yong-Ju Lee, Seong-Whan Lee
Aerial image registration or matching is a geometric process of aligning two aerial images captured in different environments. Estimating the precise transformation parameters is h…
One-Class Classification for Wafer Map using Adversarial Autoencoder with DSVDD Prior
Ha Young Jo, Seong-Whan Lee
Recently, semiconductors' demand has exploded in virtual reality, smartphones, wearable devices, the internet of things, robotics, and automobiles. Semiconductor manufacturers want…
DAL: Feature Learning from Overt Speech to Decode Imagined Speech-based EEG Signals with Convolutional Autoencoder
Dae-Hyeok Lee, Sung-Jin Kim, Seong-Whan Lee
Brain-computer interface (BCI) is one of the tools which enables the communication between humans and devices by reflecting intention and status of humans. With the development of…
Motor Imagery Classification based on CNN-GRU Network with Spatio-Temporal Feature Representation
Ji-Seon Bang, Seong-Whan Lee
Recently, various deep neural networks have been applied to classify electroencephalogram (EEG) signal. EEG is a brain signal that can be acquired in a non-invasive way and has a h…
Domain Generalization with Pseudo-Domain Label for Face Anti-Spoofing
Young Eun Kim, Seong-Whan Lee
Face anti-spoofing (FAS) plays an important role in protecting face recognition systems from face representation attacks. Many recent studies in FAS have approached this problem wi…
Detection of Abnormal Behavior with Self-Supervised Gaze Estimation
Suneung-Kim, Seong-Whan Lee
Due to the recent outbreak of COVID-19, many classes, exams, and meetings have been conducted non-face-to-face. However, the foundation for video conferencing solutions is still in…
Towards Natural Brain-Machine Interaction using Endogenous Potentials based on Deep Neural Networks
Hyung-Ju Ahn, Dae-Hyeok Lee, Ji-Hoon Jeong +1
Human-robot collaboration has the potential to maximize the efficiency of the operation of autonomous robots. Brain-machine interface (BMI) would be a desirable technology to colla…
Fre-GAN: Adversarial Frequency-consistent Audio Synthesis
Ji-Hoon Kim, Sang-Hoon Lee, Ji-Hyun Lee +1
Although recent works on neural vocoder have improved the quality of synthesized audio, there still exists a gap between generated and ground-truth audio in frequency space. This d…
Reinforce-Aligner: Reinforcement Alignment Search for Robust End-to-End Text-to-Speech
Hyunseung Chung, Sang-Hoon Lee, Seong-Whan Lee
Text-to-speech (TTS) synthesis is the process of producing synthesized speech from text or phoneme input. Traditional TTS models contain multiple processing steps and require exter…
Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks
Dae-Hyeok Lee, Dong-Kyun Han, Sung-Jin Kim +2
Brain-computer interface (BCI) is used for communication between humans and devices by recognizing status and intention of humans. Communication between humans and a drone using el…
ACNet: Mask-Aware Attention with Dynamic Context Enhancement for Robust Acne Detection
Kyungseo Min, Gun-Hee Lee, Seong-Whan Lee
Computer-aided diagnosis has recently received attention for its advantage of low cost and time efficiency. Although deep learning played a major role in the recent success of acne…
Learning Free-Form Deformation for 3D Face Reconstruction from In-The-Wild Images
Harim Jung, Myeong-Seok Oh, Seong-Whan Lee
The 3D Morphable Model (3DMM), which is a Principal Component Analysis (PCA) based statistical model that represents a 3D face using linear basis functions, has shown promising res…
FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface
Ravikiran Mane, Effie Chew, Karen Chua +5
Lack of adequate training samples and noisy high-dimensional features are key challenges faced by Motor Imagery (MI) decoding algorithms for electroencephalogram (EEG) based Brain-…
Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment
Young-Eun Lee, Seong-Whan Lee
Recently, practical brain-computer interface is actively carried out, especially, in an ambulatory environment. However, the electroencephalography (EEG) signals are distorted by m…
Visual Motion Imagery Classification with Deep Neural Network based on Functional Connectivity
Byoung-Hee Kwon, Ji-Hoon Jeong, Seong-Whan Lee
Brain-computer interfaces (BCIs) use brain signals such as electroencephalography to reflect user intention and enable two-way communication between computers and users. BCI techno…
Weakly Supervised Thoracic Disease Localization via Disease Masks
Hyun-Woo Kim, Hong-Gyu Jung, Seong-Whan Lee
To enable a deep learning-based system to be used in the medical domain as a computer-aided diagnosis system, it is essential to not only classify diseases but also present the loc…
Visual Question Answering based on Local-Scene-Aware Referring Expression Generation
Jung-Jun Kim, Dong-Gyu Lee, Jialin Wu +2
Visual question answering requires a deep understanding of both images and natural language. However, most methods mainly focus on visual concept; such as the relationships between…
Human Interaction Recognition Framework based on Interacting Body Part Attention
Dong-Gyu Lee, Seong-Whan Lee
Human activity recognition in videos has been widely studied and has recently gained significant advances with deep learning approaches; however, it remains a challenging task. In…
Towards Neurohaptics: Brain-Computer Interfaces for Decoding Intuitive Sense of Touch
Jeong-Hyun Cho, Ji-Hoon Jeong, Myoung-Ki Kim +1
Noninvasive brain-computer interface (BCI) is widely used to recognize users' intentions. Especially, BCI related to tactile and sensation decoding could provide various effects on…
Multi-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with Adversarial Style Combination for Speech Synthesis
Sang-Hoon Lee, Hyun-Wook Yoon, Hyeong-Rae Noh +2
While generative adversarial networks (GANs) based neural text-to-speech (TTS) systems have shown significant improvement in neural speech synthesis, there is no TTS system to lear…
Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms
Dae-Hyeok Lee, Hyung-Ju Ahn, Ji-Hoon Jeong +1
Non-invasive brain-computer interface (BCI) has been developed for understanding users' intentions by using electroencephalogram (EEG) signals. With the recent development of artif…
Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations
Woo-Jeoung Nam, Jaesik Choi, Seong-Whan Lee
The clear transparency of Deep Neural Networks (DNNs) is hampered by complex internal structures and nonlinear transformations along deep hierarchies. In this paper, we propose a n…