91 citations · 139 across the 8 of their papers we have counts for
8 papers
Momentum Contrast Speaker Representation Learning
Jangho Lee, Jaihyun Koh, Sungroh Yoon
Unsupervised representation learning has shown remarkable achievement by reducing the performance gap with supervised feature learning, especially in the image domain. In this stud…
Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation
Jungbeom Lee, Eunji Kim, Sungmin Lee +2
When a deep neural network is trained on data with only image-level labeling, the regions activated in each image tend to identify only a small region of the target object. We prop…
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference
Jungbeom Lee, Eunji Kim, Sungmin Lee +2
The main obstacle to weakly supervised semantic image segmentation is the difficulty of obtaining pixel-level information from coarse image-level annotations. Most methods based on…
Robust Tumor Localization with Pyramid Grad-CAM
Sungmin Lee, Jangho Lee, Jungbeom Lee +2
A meningioma is a type of brain tumor that requires tumor volume size follow ups in order to reach appropriate clinical decisions. A fully automated tool for meningioma detection i…
Mutual Suppression Network for Video Prediction using Disentangled Features
Jungbeom Lee, Jangho Lee, Sungmin Lee +1
Video prediction has been considered a difficult problem because the video contains not only high-dimensional spatial information but also complex temporal information. Video predi…
Extended Abstract: Mimicry Resilient Program Behavior Modeling with LSTM based Branch Models
Hayoon Yi, Gyuwan Kim, Jangho Lee +4
In the software design, protecting a computer system from a plethora of software attacks or malware in the wild has been increasingly important. One branch of research to detect th…
Training IBM Watson using Automatically Generated Question-Answer Pairs
Jangho Lee, Gyuwan Kim, Jaeyoon Yoo +3
IBM Watson is a cognitive computing system capable of question answering in natural languages. It is believed that IBM Watson can understand large corpora and answer relevant quest…
LSTM-Based System-Call Language Modeling and Robust Ensemble Method for Designing Host-Based Intrusion Detection Systems
Gyuwan Kim, Hayoon Yi, Jangho Lee +2
In computer security, designing a robust intrusion detection system is one of the most fundamental and important problems. In this paper, we propose a system-call language-modeling…