8 citations · 14 across the 4 of their papers we have counts for
6 papers
Mutual Equilibrium: Multimodal Representation Learning through Reciprocal Feedback
Ho-min Park, Byungkon Kang
This work proposes a mutual feedback architecture, MEQ, that refines the two inputs, of possibly different modalities, into a pair of coupled embeddings such that each embedding re…
The Hidden Power of Pure 16-bit Floating-Point Neural Networks
Juyoung Yun, Byungkon Kang, Zhoulai Fu
Lowering the precision of neural networks from the prevalent 32-bit precision has long been considered harmful to performance, despite the gain in space and time. Many works propos…
MINSU (Mobile Inventory And Scanning Unit):Computer Vision and AI
Jihoon Ryoo, Byungkon Kang, Dongyeob Lee +2
The MINSU(Mobile Inventory and Scanning Unit) algorithm uses the computational vision analysis method to record the residual quantity/fullness of the cabinet. To do so, it goes thr…
Efficient Deep Neural Network for Photo-realistic Image Super-Resolution
Namhyuk Ahn, Byungkon Kang, Kyung-Ah Sohn
Recent progress in deep learning-based models has improved photo-realistic (or perceptual) single-image super-resolution significantly. However, despite their powerful performance,…
Image Distortion Detection using Convolutional Neural Network
Namhyuk Ahn, Byungkon Kang, Kyung-Ah Sohn
Image distortion classification and detection is an important task in many applications. For example when compressing images, if we know the exact location of the distortion, then…
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network
Namhyuk Ahn, Byungkon Kang, Kyung-Ah Sohn
In recent years, deep learning methods have been successfully applied to single-image super-resolution tasks. Despite their great performances, deep learning methods cannot be easi…