44 citations · 85 across the 36 of their papers we have counts for
47 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…