14 citations · 34 across the 12 of their papers we have counts for
9 papers · 1 filter
Contour-Aware Equipotential Learning for Semantic Segmentation
Xu Yin, Dongbo Min, Yuchi Huo +1
With increasing demands for high-quality semantic segmentation in the industry, hard-distinguishing semantic boundaries have posed a significant threat to existing solutions. Inspi…
Part-based Pseudo Label Refinement for Unsupervised Person Re-identification
Yoonki Cho, Woo Jae Kim, Seunghoon Hong +1
Unsupervised person re-identification (re-ID) aims at learning discriminative representations for person retrieval from unlabeled data. Recent techniques accomplish this task by us…
In-N-Out: Towards Good Initialization for Inpainting and Outpainting
Changho Jo, Woobin Im, Sung-Eui Yoon
In computer vision, recovering spatial information by filling in masked regions, e.g., inpainting, has been widely investigated for its usability and wide applicability to other va…
A Method for Estimating Reflectance map and Material using Deep Learning with Synthetic Dataset
Mingi Lim, Sung-eui Yoon
The process of decomposing target images into their internal properties is a difficult task due to the inherent ill-posed nature of the problem. The lack of data required to train…
Virtual Piano using Computer Vision
Seongjae Kang, Jaeyoon Kim, Sung-eui Yoon
In this research, Piano performances have been analyzed only based on visual information. Computer vision algorithms, e.g., Hough transform and binary thresholding, have been appli…
An Objectness Score for Accurate and Fast Detection during Navigation
Hongsun Choi, Mincheul Kang, Youngsun Kwon +1
We propose a novel method utilizing an objectness score for maintaining the locations and classes of objects detected from Mask R-CNN during mobile robot navigation. The objectness…