29 citations · 45 across the 5 of their papers we have counts for
5 papers
Adaptive Graph Convolution Module for Salient Object Detection
Yongwoo Lee, Minhyeok Lee, Suhwan Cho +1
Salient object detection (SOD) is a task that involves identifying and segmenting the most visually prominent object in an image. Existing solutions can accomplish this use a multi…
Surrogate-based cross-correlation for particle image velocimetry
Yong Lee, Fuqiang Gu, Zeyu Gong +2
This paper presents a novel surrogate-based cross-correlation (SBCC) framework to improve the correlation performance for practical particle image velocimetry~(PIV). The basic idea…
Diffeomorphic Particle Image Velocimetry
Yong Lee, Shuang Mei
The existing particle image velocimetry (PIV) do not consider the curvature effect of the non-straight particle trajectory, because it seems to be impossible to obtain the curvatur…
Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning
Kaiqi Chen, Yong Lee, Harold Soh
This work focuses on learning useful and robust deep world models using multiple, possibly unreliable, sensors. We find that current methods do not sufficiently encourage a shared…
Blind Inverse Gamma Correction with Maximized Differential Entropy
Yong Lee, Shaohua Zhang, Miao Li +1
Unwanted nonlinear gamma distortion frequently occurs in a great diversity of images during the procedures of image acquisition, processing, and/or display. And the gamma distortio…