128 citations · 396 across the 49 of their papers we have counts for
20 papers · 1 filter
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…
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…
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…
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…
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…
Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning
Hyunseung Chung, Woo-Jeoung Nam, Seong-Whan Lee
Remote sensing image retrieval (RSIR) is the process of ranking database images depending on the degree of similarity compared to the query image. As the complexity of RSIR increas…
Online Multi-Object Tracking and Segmentation with GMPHD Filter and Mask-based Affinity Fusion
Young-min Song, Young-chul Yoon, Kwangjin Yoon +3
In this paper, we propose a highly practical fully online multi-object tracking and segmentation (MOTS) method that uses instance segmentation results as an input. The proposed met…
Few-Shot Object Detection via Knowledge Transfer
Geonuk Kim, Hong-Gyu Jung, Seong-Whan Lee
Conventional methods for object detection usually require substantial amounts of training data and annotated bounding boxes. If there are only a few training data and annotations,…
A Novel Online Action Detection Framework from Untrimmed Video Streams
Da-Hye Yoon, Nam-Gyu Cho, Seong-Whan Lee
Online temporal action localization from an untrimmed video stream is a challenging problem in computer vision. It is challenging because of i) in an untrimmed video stream, more t…
Three-Stream Fusion Network for First-Person Interaction Recognition
Ye-Ji Kim, Dong-Gyu Lee, Seong-Whan Lee
First-person interaction recognition is a challenging task because of unstable video conditions resulting from the camera wearer's movement. For human interaction recognition from…
A Two-Stream Symmetric Network with Bidirectional Ensemble for Aerial Image Matching
Jae-Hyun Park, Woo-Jeoung Nam, Seong-Whan Lee
In this paper, we propose a novel method to precisely match two aerial images that were obtained in different environments via a two-stream deep network. By internally augmenting t…
Interpreting Undesirable Pixels for Image Classification on Black-Box Models
Sin-Han Kang, Hong-Gyu Jung, Seong-Whan Lee
In an effort to interpret black-box models, researches for developing explanation methods have proceeded in recent years. Most studies have tried to identify input pixels that are…
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks
Woo-Jeoung Nam, Shir Gur, Jaesik Choi +2
As Deep Neural Networks (DNNs) have demonstrated superhuman performance in a variety of fields, there is an increasing interest in understanding the complex internal mechanisms of…