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researcher

Le Zhang

21 papers hereh-index 282.9k citations59 works total

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

author position
  • first author4
  • middle author15
  • last author1

Across the 20 of 21 papers where every author was matched, so the position is known.

fields
  • cs.CV19
  • cs.LG1
  • eess.IV1
same name
  • Le Zhang — 39 papers, h 14
  • Le Zhang — 14 papers, h 3
  • Le Zhang — 13 papers, h 9
  • Le Zhang — 11 papers, h 4
  • Le Zhang — 9 papers, h 5
  • Le Zhang — 8 papers

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
20172021
most citedEDN: Salient Object Detection via Extremely-Downsampled Network

287 citations · 810 across the 21 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020★ 287 cited

EDN: Salient Object Detection via Extremely-Downsampled Network

Yu-Huan Wu, Yun Liu, Le Zhang +2

Recent progress on salient object detection (SOD) mainly benefits from multi-scale learning, where the high-level and low-level features collaborate in locating salient objects and…

cs.CV2020★ 4 cited

Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow

Yu-Chao Gu, Le Zhang, Yun Liu +2

Generalized zero-shot learning (GZSL) aims to recognize both seen and unseen classes by transferring knowledge from semantic descriptions to visual representations. Recent generati…

cs.CV2020★ 39 cited

Regularized Densely-connected Pyramid Network for Salient Instance Segmentation

Yu-Huan Wu, Yun Liu, Le Zhang +2

Much of the recent efforts on salient object detection (SOD) have been devoted to producing accurate saliency maps without being aware of their instance labels. To this end, we pro…

cs.CV2020★ 80 cited

Disentangling Human Error from the Ground Truth in Segmentation of Medical Images

Le Zhang, Ryutaro Tanno, Mou-Cheng Xu +5

Recent years have seen increasing use of supervised learning methods for segmentation tasks. However, the predictive performance of these algorithms depends on the quality of label…

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