8 citations · 10 across the 4 of their papers we have counts for
4 papers
Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network
Yeong Il Jang, Keuntek Lee, Gu Yong Park +2
There have been many image denoisers using deep neural networks, which outperform conventional model-based methods by large margins. Recently, self-supervised methods have attracte…
Lightweight Hybrid Video Compression Framework Using Reference-Guided Restoration Network
Hochang Rhee, Seyun Kim, Nam Ik Cho
Recent deep-learning-based video compression methods brought coding gains over conventional codecs such as AVC and HEVC. However, learning-based codecs generally require considerab…
PNI : Industrial Anomaly Detection using Position and Neighborhood Information
Jaehyeok Bae, Jae-Han Lee, Seyun Kim
Because anomalous samples cannot be used for training, many anomaly detection and localization methods use pre-trained networks and non-parametric modeling to estimate encoded feat…
LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network
Hochang Rhee, Yeong Il Jang, Seyun Kim +1
Recent learning-based lossless image compression methods encode an image in the unit of subimages and achieve comparable performances to conventional non-learning algorithms. Howev…