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20172022
most citedPart-based Pseudo Label Refinement for Unsupervised Person Re-identification

14 citations · 34 across the 12 of their papers we have counts for

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9 papers · 1 filter

cs.CV2022

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…

cs.CV202214 cited

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…

cs.CV20213 cited

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…

cs.CV2020

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…

cs.CV20197 cited

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…

cs.CV2019

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…