activity
20182020
collaborators

6 papers

eess.AS2020

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…

cs.CV2019

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…

cs.CV2019

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…

cs.CV2018

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…

cs.CV2018

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…

cs.CR2018

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…