no code implementations • 3 Mar 2021 • Sara Akbarzadeh, Sungmin Lee, Chin-Tuan Tan
This study attempted to investigate the effect of conversational sound levels on the mechanisms adopted by CI and NH listeners in selective auditory attention and how it affects their daily conversation.
no code implementations • 3 Mar 2021 • Sara Akbarzadeh, Sungmin Lee, Fei Chen, Chin-Tuan Tan
Noise reduction (NR) algorithms used in CI reduce the noise in favor of signal-to-noise ratio (SNR), regardless of plausible accompanying distortions that may degrade the speech quality perception.
no code implementations • 24 Apr 2020 • Naeem Ul Islam, Sungmin Lee, Jaebyung Park
In contrast, the attribute dependent approaches are effective as these approaches are capable of modifying the required features along with preserving the information in the given image.
no code implementations • ICCV 2019 • Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon
We propose a method of using videos automatically harvested from the web to identify a larger region of the target object by using temporal information, which is not present in the static image.
no code implementations • CVPR 2019 • Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon
The main obstacle to weakly supervised semantic image segmentation is the difficulty of obtaining pixel-level information from coarse image-level annotations.
no code implementations • 29 May 2018 • Sungmin Lee, Jangho Lee, Jungbeom Lee, Chul-Kee Park, Sungroh Yoon
There have been various studies concerning automated lesion detection.
no code implementations • 13 Apr 2018 • Jungbeom Lee, Jangho Lee, Sungmin Lee, Sungroh Yoon
Video prediction can be performed by finding features in recent frames, and using them to generate approximations to upcoming frames.
Ranked #1 on Video Prediction on KTH (Cond metric)