3 papers
cs.MM2021
Frame-rate Up-conversion Detection Based on Convolutional Neural Network for Learning Spatiotemporal Features
Minseok Yoon, Seung-Hun Nam, In-Jae Yu +3
With the advance in user-friendly and powerful video editing tools, anyone can easily manipulate videos without leaving prominent visual traces. Frame-rate up-conversion (FRUC), a…
cs.CV2021
Puzzle-CAM: Improved localization via matching partial and full features
Sanghyun Jo, In-Jae Yu
Weakly-supervised semantic segmentation (WSSS) is introduced to narrow the gap for semantic segmentation performance from pixel-level supervision to image-level supervision. Most a…
eess.IV2020
BitMix: Data Augmentation for Image Steganalysis
In-Jae Yu, Wonhyuk Ahn, Seung-Hun Nam +1
Convolutional neural networks (CNN) for image steganalysis demonstrate better performances with employing concepts from high-level vision tasks. The major employed concept is to us…