2 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.IV2024
Multi-Scale Feature Prediction with Auxiliary-Info for Neural Image Compression
Chajin Shin, Sangjin Lee, Sangyoun Lee
Recently, significant improvements in rate-distortion performance of image compression have been achieved with deep-learning techniques. A key factor in this success is the use of…
cs.CV2023
One-Shot Video Inpainting
Sangjin Lee, Suhwan Cho, Sangyoun Lee
Recently, removing objects from videos and filling in the erased regions using deep video inpainting (VI) algorithms has attracted considerable attention. Usually, a video sequence…
eess.IV2022★ 2 cited
Expanded Adaptive Scaling Normalization for End to End Image Compression
Chajin Shin, Hyeongmin Lee, Hanbin Son +3
Recently, learning-based image compression methods that utilize convolutional neural layers have been developed rapidly. Rescaling modules such as batch normalization which are oft…