VIP Lab. welcomes the new student Garam Kim
VIP Lab. welcomes the new student Garam Kim. (2016/03/02)
VIP Lab. welcomes the new student Garam Kim. (2016/03/02)
Remove rain and snow from your videos. Prof. Jae-Young Sim has co-authored âVideo deraining and desnowing using temporal correlation and low-rank matrix completionâ, published in the IEEE Transactions on Image Processing. When you capture videos outside under various weather conditions, such as rain and snow, image processing and computer vision systems often fail to work … Read moreA paper on video deraining and desnowing has been published in IEEE TIP.
What does the human eye see first in video sequences? Prof. Jae-Young Sim has co-authored âSpatiotemporal saliency detection for video sequences based on random walk with restartâ, published in the IEEE Transactions on Image Processing. Human visual system is highly intelligent to extract visually important information from video sequences almost effortlessly. This paper proposed an … Read moreA paper on video saliency detection has been published in IEEE TIP.
Se-Won Jeong, who is a Joint M.S.-Ph.D program student in VIP Lab., has been selected as a recipient of âGlobal Ph.D Fellowship (GPF)’ from Korean government. GPF is a fellowship program supported by Korean government. It selects only about 200 talented students per year and help them becoming an world leading researcher through financial support. Se-Won Jeong has … Read moreSe-Won Jeong has been selected as a recipient of Global Ph.D Fellowship
Dae-Youn Lee, Jae-Young Sim, and Chang-Su Kim, âMultihypothesis trajectory analysis for robust visual trackingâ Chulwoo Lee, Won-Dong Jang, Jae-Young Sim, and Chang-Su Kim, âMultiple random walkers and their application to image cosegmentationâ
Kyu-Yul Lee and Jae-Young Sim, âRobust video stitching using adaptive pixel transferâ Jaemoon Lim, Jin-Hwan Kim, Jae-Young Sim, and Chang-Su Kim, âRobust contrast enhancement of noisy low-light images: denoising-enhancement-completionâ
Prof. Jae-Young Sim and Kyu-Yul Lee have co-authored âLarge-scale 3D point cloud compression using adaptive radial distance prediction in hybrid coordinate domainsâ, published in the IEEE Journal of Selected Topics in Signal Processing. With the advances of 3D data acquisition devices, real world objects and scenes can be captured as 3D models in real-time, which … Read moreA paper on 3D point cloud compression has been published in IEEE JSTSP.
VIP Lab. welcomes the new student Dae-Sik Lee. (2015/03/02)
VIP Lab. welcomes the new student Jae-Seong Yun. (2015/03/02)
VIP Lab. welcomes the new student Byeon-Ju Han. (2015/03/02)