30 citations · 41 across the 5 of their papers we have counts for
5 papers
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…
Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis, and beyond
Sungmin Lee, Hyeyoung Min, Sungroh Yoon
A wide variety of large-scale data has been produced in bioinformatics. In response, the need for efficient handling of biomedical big data has been partly met by parallel computin…