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researcher

Sung-eui Yoon

22 papers hereh-index 384.2k citations168 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author20

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • cs.RO6
  • cs.SD2
  • cs.GR1
  • cs.LG1
  • eess.AS1
same name
  • Sung-eui Yoon — 12 papers, h 2
  • Sung-eui Yoon — 9 papers, h 3
  • Sung-Eui Yoon — 9 papers, h 3
  • Sung-eui Yoon — 6 papers, h 3
  • Sung-Eui Yoon — 6 papers, h 5
  • Sung-eui Yoon — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedPart-based Pseudo Label Refinement for Unsupervised Person Re-identification

14 citations · 46 across the 22 of their papers we have counts for

collaborators
Showing 2022Show all

4 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.CV2022

Diverse Generative Perturbations on Attention Space for Transferable Adversarial Attacks

Woo Jae Kim, Seunghoon Hong, Sung-Eui Yoon

Adversarial attacks with improved transferability - the ability of an adversarial example crafted on a known model to also fool unknown models - have recently received much attenti…

cs.CV2022★ 14 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.RO2022

Implicit LiDAR Network: LiDAR Super-Resolution via Interpolation Weight Prediction

Youngsun Kwon, Minhyuk Sung, Sung-Eui Yoon

Super-resolution of LiDAR range images is crucial to improving many downstream tasks such as object detection, recognition, and tracking. While deep learning has made a remarkable…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.